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TA Current
A method to query current price and technical indicator data for thousands of symbols. Data returned includes traditional transformations and metrics over extensive periods and intervals including SMA, PctChange, Volatility and Variance. Additional metrics and more complex calculations including sharpe, sortino, hui-heubel, liquidity surface and a full suite of over 100 trading technical indicators are also available.
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| datetimeUTC | Date as the coordinated universal time (UTC) convention | false | string |
2019-01-01 |
| symbol | `Symbol or symbols of the asset` using csv (BTC) | false | string |
BTC |
| price | Price of the asset in USD | false | number |
|
| change1 | Percent Change for the trailing `1 periods` (usually days) | false | number |
|
| change5 | Percent Change for the trailing `5 periods` (usually days) | false | number |
|
| change7 | Percent Change for the trailing `7 periods` (usually days) | false | number |
|
| change10 | Percent Change for the trailing `10 periods` (usually days) | false | number |
|
| change20 | Percent Change for the trailing `20 periods` (usually days) | false | number |
|
| change30 | Percent Change for the trailing `30 periods` (usually days) | false | number |
|
| change50 | Percent Change for the trailing `50 periods` (usually days) | false | number |
|
| change90 | Percent Change for the trailing `90 periods` (usually days) | false | number |
|
| change180 | Percent Change for the trailing `180 periods` (usually days) | false | number |
|
| change365 | Percent Change for the trailing `365 periods` (usually days) | false | number |
|
| sma5 | Simple moving average for the `trailing 5 periods` (usually days) | false | number |
|
| sma7 | Simple moving average for the `trailing 7 periods` (usually days) | false | number |
|
| sma10 | Simple moving average for the `trailing 10 periods` (usually days) | false | number |
|
| sma20 | Simple moving average for the `trailing 20 periods` (usually days) | false | number |
|
| sma30 | Simple moving average for the `trailing 30 periods` (usually days) | false | number |
|
| sma50 | Simple moving average for the `trailing 50 periods` (usually days) | false | number |
|
| sma100 | Simple moving average for the `trailing 100 periods` (usually days) | false | number |
|
| sma200 | Simple moving average for the `trailing 200 periods` (usually days) | false | number |
|
| sma365 | Simple moving average for the `trailing 365 periods` (usually days) | false | number |
|
| var5 | Variance for the trailing `5 periods` (usually days) | false | number |
|
| var7 | Variance for the trailing `7 periods` (usually days) | false | number |
|
| var10 | Variance for the trailing `10 periods` (usually days) | false | number |
|
| var20 | Variance for the trailing `20 periods` (usually days) | false | number |
|
| var30 | Variance for the trailing `30 periods` (usually days) | false | number |
|
| var50 | Variance for the trailing `50 periods` (usually days) | false | number |
|
| vol5 | Volatility for the trailing `5 periods` (usually days) | false | number |
|
| vol7 | Volatility for the trailing `7 periods` (usually days) | false | number |
|
| vol10 | Volatility for the trailing `10 periods` (usually days) | false | number |
|
| vol20 | Volatility for the trailing `20 periods` (usually days) | false | number |
|
| vol30 | Volatility for the trailing `30 periods` (usually days) | false | number |
|
| vol50 | Volatility for the trailing `50 periods` (usually days) | false | number |
|
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 Annual Letter | MultiCoin Capital | research | Keywords: performance, selling, retail, investor, attacks, mining, volatility, infrastructure, defi, scaling, layer | |
| An Index For Investing In Blockchain Based Cryptocurrencies | CRIX Crypto Index | research | Keywords: benchmark, performance | |
| ATR Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, range, average, excel | |
| BAT Token ATH Comparisons | Paradigm | Historical Performance | Comparing the listed ATH prices for the same token from multiple industry providers The disparities in what is referred to or reported as the 'all time high/low' price for even larger cap more well known tokens can be so wide in come cases it's hard to believe. | Keywords: all time, ath, atl, performance, brave | |
| Benchmark Relative Performance | Paradigm | Benchmarks | Comparing trailing returns for crypto benchmarks across large cap, small cap and type Perspective and context are the most important variables when analyzing benchmark performance in crypto. Any relative returns or relative value analysis should employ multi-period overlays to allow a more balanced view of short term price action vs long term price trends. | Keywords: roi, performance, returns, index | |
| Bitcoin Futures Market Evolution | Coinjanitor | research | Keywords: regression, correlation, volume, institution, cme, cboe, otc, contract | |
| Bitcoin Rolling 2019 YTD Performance | Paradigm | Performance | Year to date cumulative rolling daily returns for BTC Short term market moves can often mask a broader dispersion pattern in returns across crypto assets. Bitcoin's 'dominance' makes it easy to forget what trends may be developing under the surface. Rolling cumulative returns vs daily moves also support Tom Lee's thesis that the majority of gains for BTC are made in less than 2 weeks every year. | Keywords: roi, returns, performance, ytd, cumulative | |
| BTC Death, Golden and Bullshit Crosses | Paradigm | Technical Indicators | Reliable trend indicator or bear traps full of bullshit? A traditional death cross occurs when the short-term moving average (ie 50D) crosses below its long-term average (ie 200D) while the opposite represents a golden cross. These types of technical chart patterns are commonly used by active traders as broader market trend indicators. | Keywords: sma, trends, indicators, technical | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes Monthly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BTC vs. Tether Trading Volume | Paradigm | Trading Volume | Tracking the relationship of Tether (USDT) vs. Bitcoin (BTC) volumes The relationship between Bitcoin & Tether is clearly evident from a variety of angles. These patterns have helped drive the 'FUD' narrative concerning the potential demise of Tether as a genuinely viable stablecoin. As the broader market continues to grow and mature, the question remains: if Tether disappeared tomorrow would it make a material impact? | Keywords: btc, usdt, correlation, stablecoin, tether, volume | |
| BTC Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BVOL vs EVOL | Paradigm | Volatility | Tracking synthetic crypto volatility benchmarks and derivatives In the absence of mature futures or options markets, exchanges offering derivative and synthetics trading often benefit. Access to leverage from 100-400x on some of these trading vehicles makes them even more important to track. After all, what could possibly go wrong? | Keywords: volatility, derivatives, bitmex, index | |
| Crypto Index Introduction Slides | CRIX Crypto Index | research | Keywords: benchmark, performance, methodology, crix | |
| Crypto Week in Review 8.24.2018 | Satis Group | periodical | Keywords: performance | |
| Cryptocurrencies Looking Beyond Hype | Bank Of International Settlements | research | Keywords: crypto, blockchain, ledger, cbdc, regulation, volatility, mining, ico | |
| ETH Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| ETH Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| Global Macro Trends Cryptocurrencies | Element Group | research | Keywords: asset, management, correction, volatility, bitcoin, dispersion, futures, geopolitical | |
| Information Content Of Pre Open Social Media For Market Returns | Pluribus Labs Research | research | Keywords: sentiment, social media, algo trading, performance, indicators, twitter | |
| Is Bitcoin Really Untethered | University of Texas | research | Keywords: ustd, stablecoin, peg, trading volume, wash trading, correlation, fiat | |
| MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, average, convergence, divergence, excel | |
| NVT Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, network, transaction, excel | |
| Price Predictions | Cryptosheets | model | Keywords: metrics, indicators, forecast, excel | |
| Risks And Returns Of Cryptocurrency Risk Reward Factor Attribution | National Bureau of Economic Research | research | Keywords: valuation, analysis, modeling, portfolio management, performance | |
| RSI ATR MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, average, convergence, divergence, excel | |
| RSI Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, excel | |
| Sortino Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, risk, adjusted, volatility, excel | |
| Trading volumes vs volatility | Paradigm | Volatility | Examining the relationship between BTC trading volumes and multi-period volatility | Keywords: vol, correlation, price discovery | |
| Volatility Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, vol, deviation, historical, excel | |
| YTD Rolling Returns - BTC, ETH vs Large & Mid Caps | Paradigm | Performance | Year to date cumulative rolling daily returns 2019 opened with Ethereum plunging over 50% before putting in a double bottom. While most highly correlated ERC20 tokens suffered equal or worse damage, BTC, large and mid cap crypto benchmarks proved more resilient. Dispersion gave way to correlation as ETH rebounded strongly heading into the summer. *Note: you can use the zoom selector from the toolbox to zoom individually for each chart. | Keywords: roi, returns, performance, ytd, cumulative, benchmark, index |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| id | Query based off of a specific value for id | false | string |
457 |
| title | Query based off of a specific value for title | false | string |
Exchange Hacks |
| description | Query based off of a specific value for description | false | string |
|
| type | Query based off of a specific value for type | false | string |
cluster |
| clusterGroup | Query based off of a specific value for clusterGroup | false | string |
wallets |
| source | Query based off of a specific value for source | false | string |
API |
| keywords | Query based off of a specific value for keywords | false | string |
~exchange |
| apiDimType | Query based off of a specific value for apiDimType | false | string |
screener |
| apiDimType2 | Query based off of a specific value for apiDimType2 | false | string |
~filter |
| parameters | Query based off of a specific value for parameters | false | string |
|
| category | Query based off of a specific value for category | false | string |
module |
| subCategory | Query based off of a specific value for subCategory | false | string |
|
| url | Query based off of a specific value for url | false | string |
|
| urlAPIdocs | Query based off of a specific value for urlAPIdocs | false | string |
|
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| A Model of CryptoCurrencies | Princeton | academic | Keywords: model, valuation, ico, bubble | |
| Bitwise Crypto Index Methodology | Bitwise | research | Keywords: framework, benchmark, model | |
| Dandelion Lightweight Cryptocurrency Networking Formal Anonymity Guarantees | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, security, protocol, crypto | |
| Dandelion Redesigning Bitcoin Network for Anonymity | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, diffusion | |
| From Hype to Reality A Taxonomy of Blockchain Applications | Karlsruthe Institute of Technology | research | Keywords: framework, classification, category, valuation, model | |
| ICO Bounty Campaign Help Fundraising | Element Group | research | Keywords: regression, model, token, sale |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| datetimeUTC | Query based off of a specific value for datetimeUTC | false | string |
|
| benchmark | Query based off of a specific value for benchmark group (ie Bitwise) | false | string |
Bitwise |
| symbol | Query based off of a specific value for symbol or symbols using csv (bitwise10) | false | string |
bitwise10 |
| value | Query based off of a specific value for value | false | number |
|
| change1 | Query based off of a specific value for change1 | false | number |
0.1: |
| change5 | Query based off of a specific value for change5 | false | number |
0.1: |
| change7 | Query based off of a specific value for change7 | false | number |
0.1: |
| change10 | Query based off of a specific value for change10 | false | number |
0.1: |
| change20 | Query based off of a specific value for change20 | false | number |
0.1: |
| change30 | Query based off of a specific value for change30 | false | number |
0.1: |
| change50 | Query based off of a specific value for change50 | false | number |
0.1: |
| change90 | Query based off of a specific value for change90 | false | number |
0.1: |
| change180 | Query based off of a specific value for change180 | false | number |
0.1: |
| change365 | Query based off of a specific value for change365 | false | number |
0.1: |
| sma5 | Simple moving average for the `trailing 5 periods` (usually days) | false | number |
|
| sma7 | Simple moving average for the `trailing 7 periods` (usually days) | false | number |
|
| sma10 | Simple moving average for the `trailing 10 periods` (usually days) | false | number |
|
| sma20 | Simple moving average for the `trailing 20 periods` (usually days) | false | number |
|
| sma30 | Simple moving average for the `trailing 30 periods` (usually days) | false | number |
|
| sma50 | Simple moving average for the `trailing 50 periods` (usually days) | false | number |
|
| sma100 | Simple moving average for the `trailing 100 periods` (usually days) | false | number |
|
| sma200 | Simple moving average for the `trailing 200 periods` (usually days) | false | number |
|
| sma365 | Simple moving average for the `trailing 365 periods` (usually days) | false | number |
|
| var5 | Query based off of a specific value for var5 | false | number |
2: |
| var7 | Query based off of a specific value for var7 | false | number |
2: |
| var10 | Query based off of a specific value for var10 | false | number |
2: |
| var20 | Query based off of a specific value for var20 | false | number |
2: |
| var30 | Query based off of a specific value for var30 | false | number |
2: |
| var50 | Query based off of a specific value for var50 | false | number |
2: |
| vol5 | Query based off of a specific value for vol5 | false | number |
:5 |
| vol7 | Query based off of a specific value for vol7 | false | number |
:5 |
| vol10 | Query based off of a specific value for vol10 | false | number |
:5 |
| vol20 | Query based off of a specific value for vol20 | false | number |
:5 |
| vol30 | Query based off of a specific value for vol30 | false | number |
:5 |
| vol50 | Query based off of a specific value for vol50 | false | number |
:5 |
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 Annual Letter | MultiCoin Capital | research | Keywords: performance, selling, retail, investor, attacks, mining, volatility, infrastructure, defi, scaling, layer | |
| A Blockchain Research Framework | Business & Information Systems Engineering | academic | Keywords: methodology, study | |
| A First Econometric Analysis Of The CRIX Family | CRIX Crypto Index | research | Keywords: valuation, index, benchmark, methodology, cryptoeconomics | |
| A Model of CryptoCurrencies | Princeton | academic | Keywords: model, valuation, ico, bubble | |
| Accomplice VC Crypto Market Map | Accomplice VC | research | Keywords: venture capital, taxonomy | |
| Accounting For Venezuelan Hyperinflation in Portfolio Risk Models | Bloomberg | research | Keywords: inflation, deflation, dictator, portfolio management | |
| An Index For Investing In Blockchain Based Cryptocurrencies | CRIX Crypto Index | research | Keywords: benchmark, performance | |
| Asset Highlight Ether | Cryptoscores | research | Keywords: valuation, metric, primer, smart, contract, eth, sharding, stake, consensus, return | |
| ATR Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, range, average, excel | |
| BAT Token ATH Comparisons | Paradigm | Historical Performance | Comparing the listed ATH prices for the same token from multiple industry providers The disparities in what is referred to or reported as the 'all time high/low' price for even larger cap more well known tokens can be so wide in come cases it's hard to believe. | Keywords: all time, ath, atl, performance, brave | |
| Benchmark Relative Performance | Paradigm | Benchmarks | Comparing trailing returns for crypto benchmarks across large cap, small cap and type Perspective and context are the most important variables when analyzing benchmark performance in crypto. Any relative returns or relative value analysis should employ multi-period overlays to allow a more balanced view of short term price action vs long term price trends. | Keywords: roi, performance, returns, index | |
| Bitcoin Economics Parts 1 2 3 5 | Bitmex | research | Keywords: cryptoeconomics, valuation | |
| Bitcoin Futures Volumes | Paradigm | Derivatives | Tracking activity, volumes and positioning in regulated crypto futures markets The introduction of regulated futures markets for Bitcoin was a widely anticipated and overhyped event. Difficult to argue there was no impact on the price from the introduction of a derivative instrument designed to provide traders with the ability to short and bet against the price of Bitcoin. As markets mature, the ability to hedge using futures will likely see the overall market continue to grow. | Keywords: cme, derivatives, futures, contract, swap, options, hedge, institutional, cftc, cboe, trading, volume | |
| Bitcoin Rolling 2019 YTD Performance | Paradigm | Performance | Year to date cumulative rolling daily returns for BTC Short term market moves can often mask a broader dispersion pattern in returns across crypto assets. Bitcoin's 'dominance' makes it easy to forget what trends may be developing under the surface. Rolling cumulative returns vs daily moves also support Tom Lee's thesis that the majority of gains for BTC are made in less than 2 weeks every year. | Keywords: roi, returns, performance, ytd, cumulative | |
| Bitwise Crypto Index Methodology | Bitwise | research | Keywords: framework, benchmark, model | |
| Bitwise The Case For Crypto In An Institutional Portfolio | Bitwise | research | Keywords: asset allocation, investing, risk management | |
| Bitwise The Case For Diversification Within Crypto Investing | Bitwise | research | Keywords: portfolio, risk management, asset allocation, benchmark | |
| Blockchain by Cisco Build Trust Based Business Networks | Cisco | research | Keywords: corporate, enterprise, dlt, adoption | |
| Bloomberg Galaxy Crypto Index Fact Sheet | Bloomberg | research | Keywords: bcgi | |
| Bloomberg Galaxy Crypto Index Methodology | Bloomberg | research | Keywords: bcgi, benchmark | |
| Bloomberg Galaxy Crypto Index Rebalancing | Bloomberg | research | Keywords: bcgi | |
| Breaking Blockchain Open | Deloitte | research | Keywords: survey, enterprise, private, adoption | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes Monthly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| BTC MVRV Ratio | Paradigm | Network Value | Exploring network valuation using MVRV MVRV is a simple ratio to measure network value using a novel metric for traditional market cap called Realised Cap. MVRV = Market Cap / Realised Cap. It can be useful for getting a sense of when the exchange traded price is below “fair value” or even as an indicator for potential cycle tops and bottoms. | Keywords: realised cap, market cap, valuation, metric | |
| BTC Pricing Value Models | Paradigm | Network Value | Evaluating novel metrics for Bitcoin valuation Bitcoin continues to defy and break most convential models across pricing, growth, trend, econometrics, epidemiological and more. Perspective and context are always valuable in these exercises especially when they can help frame it all in the same consumable dimension. Hats off to Will Woo's continued inspirational, thoughtful and creative work: (http://charts.woobull.com/). *Note: this chart is better viewed in larger size, click the button in right hand menu to enlarge. | Keywords: realised cap, market cap, valuation, metric, deltacap, nvt, mvrv, signal, willy woo | |
| BTC Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| CCCAGG Data Index Methodology | Cryptocompare | research | Keywords: exchange, trading volume, benchmark | |
| Consumer Tokens Framework Version1 | Brooklyn Project | research | Keywords: taxonomy, classification | |
| Crypto Asset Post Trade Processing of Tokenized Securities Whitepaper | DTCC | research | Keywords: custody, dtcc, clearing, sto, securities, institutional | |
| Crypto Index Introduction Slides | CRIX Crypto Index | research | Keywords: benchmark, performance, methodology, crix | |
| Crypto Utopia | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Crypto Week in Review 8.24.2018 | Satis Group | periodical | Keywords: performance | |
| Cryptoassets Venture into the Unknown | Cambridge Associates | research | Keywords: blockchain, startups, fund, strategies, token, distribution, ico, institutional | |
| CryptoUtopia | Autonomous NEXT | research | Keywords: venture capital, ico, hype, taxonomy | |
| ETH Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| ETH Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| FCAS Report ZEC | Flipside Crypto | research | Keywords: flipside, valuation, rating, repo, github, developer, codebase | |
| Framework for Investment Contract Analysis of Digital Assets | SEC | regulatory | https://www.sec.gov/corpfin/framework-investment-contract-analysis-digital-assets | Keywords: sec, regulator, valuation, taxonomy, howey, framework, methodology, ico, securities, law, classification, dapp | |
| From Hype to Reality A Taxonomy of Blockchain Applications | Karlsruthe Institute of Technology | research | Keywords: framework, classification, category, valuation, model | |
| GDAX Digital Asset Framework | GDAX | research | Keywords: exchange, taxonomy, qualifications | |
| Guidance on Cryptoassets | UK FCA | regulatory | This paper looks at where cryptoassets would be considered ‘Specified Investments’ under the Regulated Activities Order (RAO),3 ‘Financial Instruments’ such as ‘Transferable Securities’ under the Markets in Financial Instruments Directive II (MiFID II),4 or captured under the Payment Services Regulations (PSRs), 5 or the E-Money Regulations (EMRs).6 It also covers where cryptoassets would not be considered ‘Specified Investments’ under the RAO. | Keywords: mifid, rao, securities, regulation, classification, oversight, taxonomy | |
| How Does Crypto OTC Actually Work | Circle Research | research | Keywords: trading, institutional, volume | |
| Immaturity of Tokenized Value Capture Mechanisms | Felipe Gaucho Pereira | research | There’s a good degree of consensus around the overvaluation of assets in the market; a lot of decent discussions around valuation methodologies aiming to frame the madness; but not much rational talk about the root issue: do cryptoassets really capture the value of something, at all? | Keywords: intrinsic, accretion, creation, wealth, definition | |
| Information Content Of Pre Open Social Media For Market Returns | Pluribus Labs Research | research | Keywords: sentiment, social media, algo trading, performance, indicators, twitter | |
| Initial Coin Offerings | Ernst Young | regulatory | Keywords: blockchain, ico, smart, contract, token, valuation, security, regulation | |
| Investing With Cryptocurrencies A Liquidity Constrained Approach | CRIX Crypto Index | research | Keywords: valuation, depth, order books, spread, slippage | |
| ITIFC Index Guide | MV Index Solutions | research | The index is passive, capitalisation weighted, capped; providing a diversified, long-term and non-speculative investment approach based on a list of crypto assets from the top 30 market leaders. | Keywords: benchmark, methodology, passive, portfolio | |
| Leveraging the Cryptoeconomic Machine | Aenigma Capital Research | research | Keywords: valuation, token, utility, intrinsic, fundamental, velocity | |
| MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, average, convergence, divergence, excel | |
| MakerDAO DAI Deep Dive | 51percent research | research | Keywords: maker, dai, mkr, stablecoin, cdp, valuation, governance, defi | |
| Moving forward with macroprudential frameworks | Bank Of International Settlements | research | Keywords: regulatory, banking, policy, methodology, legal, systemic | |
| NVT Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, network, transaction, excel | |
| Price Predictions | Cryptosheets | model | Keywords: metrics, indicators, forecast, excel | |
| Pricing Cryptocurrency Options The Case Of CRIX And Bitcoin | CRIX Crypto Index | research | Keywords: derviatives, options, analysis, hedge, index, benchmark | |
| Principles for Financial Benchmarks | ISCO | research | This Report, which has been prepared by the IOSCO Board Level Task Force on Financial Market Benchmarks (Task Force), sets out IOSCO’s final Principles on Financial Benchmarks. The Task Force was created in light of investigations and enforcement actions regarding attempted manipulation of major interest rate Benchmarks and the fragility and integrity of their use and their impact on the real economy. | Keywords: methodology, framework, index, reference rates, libor, manipulation | |
| Regulate or Not Overview Cryptographic Assets With Simultaneous Economic Properties | Bravenewcoin | research | Keywords: bitcoin, blockchain, dlt, taxonomy, classification, investment, managers, use, case, protocol, tokens, basket, index, commodities, store, value | |
| Republic Protocol | Aenigma Capital Research | research | Keywords: valuation, republic, protocol, ren | |
| Risks And Returns Of Cryptocurrency Risk Reward Factor Attribution | National Bureau of Economic Research | research | Keywords: valuation, analysis, modeling, portfolio management, performance | |
| RSI ATR MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, average, convergence, divergence, excel | |
| RSI Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, excel | |
| Scalability Interoperability and Sustainability of Blockchains | European Union Blockchain Forum | research | we take a look at the current and likely future state of blockchain in Europe through the lens of large-scale blockchain platforms. Along the way we ask ourselves what factors, technical and organisational, are likely to shape how platforms develop, and make some observations and recommendations for entrepreneurs and policy makers about best practice. | Keywords: adoption, integration, enterprise, scale, permissioned, ramp | |
| Scenario Timelines - Large Cap vs. Mid Cap | Paradigm | Scenario | Comparing performance of benchmarks through various impact event scenarios Scenario analysis can be a valuable risk management tool, especially when robust data provides more accurate and statistically significant insights. While shorter on an absolute basis, the crypto timeline accelerates at a velocity with no precedent. Our crypto events database provides a rich scenario backdrop against which to build and calibrate our risk models. | Keywords: benchmark, scenario, events, stress | |
| Sortino Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, risk, adjusted, volatility, excel | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| Taxonomy Of Blockchain Tech Principles Of Identification And Classification | Center for Blockchain Technologies | research | Keywords: immutable, identification, taxonomy, framework, org structure, governance | |
| The Brooklyn Project | Brooklyn Project | research | Keywords: taxonomy, classification | |
| The Brooklyn Project Framework Version 1 | Brooklyn Project | research | Keywords: taxonomy, classification | |
| Token Mania | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Volatility Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, vol, deviation, historical, excel | |
| YTD Rolling Returns - BTC, ETH vs Large & Mid Caps | Paradigm | Performance | Year to date cumulative rolling daily returns 2019 opened with Ethereum plunging over 50% before putting in a double bottom. While most highly correlated ERC20 tokens suffered equal or worse damage, BTC, large and mid cap crypto benchmarks proved more resilient. Dispersion gave way to correlation as ETH rebounded strongly heading into the summer. *Note: you can use the zoom selector from the toolbox to zoom individually for each chart. | Keywords: roi, returns, performance, ytd, cumulative, benchmark, index |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| datetimeUTC | Query based off of a specific value for datetimeUTC | false | string |
2019-01-01 |
| benchmark | Query based off of a specific value for benchmark group (ie Bitwise) | false | string |
Bitwise |
| symbol | Query based off of a specific value for symbol or symbols using csv (bitwise10) | false | string |
bitwise10 |
| level | Query based off of a specific value for value | false | number |
|
| change1 | Query based off of a specific value for change1 | false | number |
0.1: |
| change5 | Query based off of a specific value for change5 | false | number |
0.1: |
| change7 | Query based off of a specific value for change7 | false | number |
0.1: |
| change10 | Query based off of a specific value for change10 | false | number |
0.1: |
| change20 | Query based off of a specific value for change20 | false | number |
0.1: |
| change30 | Query based off of a specific value for change30 | false | number |
0.1: |
| change50 | Query based off of a specific value for change50 | false | number |
0.1: |
| change90 | Query based off of a specific value for change90 | false | number |
0.1: |
| change180 | Query based off of a specific value for change180 | false | number |
0.1: |
| change365 | Query based off of a specific value for change365 | false | number |
0.1: |
| sma5 | Simple moving average for the `trailing 5 periods` (usually days) | false | number |
|
| sma7 | Simple moving average for the `trailing 7 periods` (usually days) | false | number |
|
| sma10 | Simple moving average for the `trailing 10 periods` (usually days) | false | number |
|
| sma20 | Simple moving average for the `trailing 20 periods` (usually days) | false | number |
|
| sma30 | Simple moving average for the `trailing 30 periods` (usually days) | false | number |
|
| sma50 | Simple moving average for the `trailing 50 periods` (usually days) | false | number |
|
| sma100 | Simple moving average for the `trailing 100 periods` (usually days) | false | number |
|
| sma200 | Simple moving average for the `trailing 200 periods` (usually days) | false | number |
|
| sma365 | Simple moving average for the `trailing 365 periods` (usually days) | false | number |
|
| var5 | Query based off of a specific value for var5 | false | number |
2: |
| var7 | Query based off of a specific value for var7 | false | number |
2: |
| var10 | Query based off of a specific value for var10 | false | number |
2: |
| var20 | Query based off of a specific value for var20 | false | number |
2: |
| var30 | Query based off of a specific value for var30 | false | number |
2: |
| var50 | Query based off of a specific value for var50 | false | number |
2: |
| vol5 | Query based off of a specific value for vol5 | false | number |
:5 |
| vol7 | Query based off of a specific value for vol7 | false | number |
:5 |
| vol10 | Query based off of a specific value for vol10 | false | number |
:5 |
| vol20 | Query based off of a specific value for vol20 | false | number |
:5 |
| vol30 | Query based off of a specific value for vol30 | false | number |
:5 |
| vol50 | Query based off of a specific value for vol50 | false | number |
:5 |
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 Annual Letter | MultiCoin Capital | research | Keywords: performance, selling, retail, investor, attacks, mining, volatility, infrastructure, defi, scaling, layer | |
| A Blockchain Research Framework | Business & Information Systems Engineering | academic | Keywords: methodology, study | |
| A First Econometric Analysis Of The CRIX Family | CRIX Crypto Index | research | Keywords: valuation, index, benchmark, methodology, cryptoeconomics | |
| A Model of CryptoCurrencies | Princeton | academic | Keywords: model, valuation, ico, bubble | |
| Accomplice VC Crypto Market Map | Accomplice VC | research | Keywords: venture capital, taxonomy | |
| Accounting For Venezuelan Hyperinflation in Portfolio Risk Models | Bloomberg | research | Keywords: inflation, deflation, dictator, portfolio management | |
| An Index For Investing In Blockchain Based Cryptocurrencies | CRIX Crypto Index | research | Keywords: benchmark, performance | |
| Asset Highlight Ether | Cryptoscores | research | Keywords: valuation, metric, primer, smart, contract, eth, sharding, stake, consensus, return | |
| ATR Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, range, average, excel | |
| BAT Token ATH Comparisons | Paradigm | Historical Performance | Comparing the listed ATH prices for the same token from multiple industry providers The disparities in what is referred to or reported as the 'all time high/low' price for even larger cap more well known tokens can be so wide in come cases it's hard to believe. | Keywords: all time, ath, atl, performance, brave | |
| Benchmark Relative Performance | Paradigm | Benchmarks | Comparing trailing returns for crypto benchmarks across large cap, small cap and type Perspective and context are the most important variables when analyzing benchmark performance in crypto. Any relative returns or relative value analysis should employ multi-period overlays to allow a more balanced view of short term price action vs long term price trends. | Keywords: roi, performance, returns, index | |
| Bitcoin Economics Parts 1 2 3 5 | Bitmex | research | Keywords: cryptoeconomics, valuation | |
| Bitcoin Futures Volumes | Paradigm | Derivatives | Tracking activity, volumes and positioning in regulated crypto futures markets The introduction of regulated futures markets for Bitcoin was a widely anticipated and overhyped event. Difficult to argue there was no impact on the price from the introduction of a derivative instrument designed to provide traders with the ability to short and bet against the price of Bitcoin. As markets mature, the ability to hedge using futures will likely see the overall market continue to grow. | Keywords: cme, derivatives, futures, contract, swap, options, hedge, institutional, cftc, cboe, trading, volume | |
| Bitcoin Rolling 2019 YTD Performance | Paradigm | Performance | Year to date cumulative rolling daily returns for BTC Short term market moves can often mask a broader dispersion pattern in returns across crypto assets. Bitcoin's 'dominance' makes it easy to forget what trends may be developing under the surface. Rolling cumulative returns vs daily moves also support Tom Lee's thesis that the majority of gains for BTC are made in less than 2 weeks every year. | Keywords: roi, returns, performance, ytd, cumulative | |
| Bitwise Crypto Index Methodology | Bitwise | research | Keywords: framework, benchmark, model | |
| Bitwise The Case For Crypto In An Institutional Portfolio | Bitwise | research | Keywords: asset allocation, investing, risk management | |
| Bitwise The Case For Diversification Within Crypto Investing | Bitwise | research | Keywords: portfolio, risk management, asset allocation, benchmark | |
| Blockchain by Cisco Build Trust Based Business Networks | Cisco | research | Keywords: corporate, enterprise, dlt, adoption | |
| Bloomberg Galaxy Crypto Index Fact Sheet | Bloomberg | research | Keywords: bcgi | |
| Bloomberg Galaxy Crypto Index Methodology | Bloomberg | research | Keywords: bcgi, benchmark | |
| Bloomberg Galaxy Crypto Index Rebalancing | Bloomberg | research | Keywords: bcgi | |
| Breaking Blockchain Open | Deloitte | research | Keywords: survey, enterprise, private, adoption | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes Monthly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| BTC MVRV Ratio | Paradigm | Network Value | Exploring network valuation using MVRV MVRV is a simple ratio to measure network value using a novel metric for traditional market cap called Realised Cap. MVRV = Market Cap / Realised Cap. It can be useful for getting a sense of when the exchange traded price is below “fair value” or even as an indicator for potential cycle tops and bottoms. | Keywords: realised cap, market cap, valuation, metric | |
| BTC Pricing Value Models | Paradigm | Network Value | Evaluating novel metrics for Bitcoin valuation Bitcoin continues to defy and break most convential models across pricing, growth, trend, econometrics, epidemiological and more. Perspective and context are always valuable in these exercises especially when they can help frame it all in the same consumable dimension. Hats off to Will Woo's continued inspirational, thoughtful and creative work: (http://charts.woobull.com/). *Note: this chart is better viewed in larger size, click the button in right hand menu to enlarge. | Keywords: realised cap, market cap, valuation, metric, deltacap, nvt, mvrv, signal, willy woo | |
| BTC Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| CCCAGG Data Index Methodology | Cryptocompare | research | Keywords: exchange, trading volume, benchmark | |
| Consumer Tokens Framework Version1 | Brooklyn Project | research | Keywords: taxonomy, classification | |
| Crypto Asset Post Trade Processing of Tokenized Securities Whitepaper | DTCC | research | Keywords: custody, dtcc, clearing, sto, securities, institutional | |
| Crypto Index Introduction Slides | CRIX Crypto Index | research | Keywords: benchmark, performance, methodology, crix | |
| Crypto Utopia | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Crypto Week in Review 8.24.2018 | Satis Group | periodical | Keywords: performance | |
| Cryptoassets Venture into the Unknown | Cambridge Associates | research | Keywords: blockchain, startups, fund, strategies, token, distribution, ico, institutional | |
| CryptoUtopia | Autonomous NEXT | research | Keywords: venture capital, ico, hype, taxonomy | |
| ETH Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| ETH Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| FCAS Report ZEC | Flipside Crypto | research | Keywords: flipside, valuation, rating, repo, github, developer, codebase | |
| Framework for Investment Contract Analysis of Digital Assets | SEC | regulatory | https://www.sec.gov/corpfin/framework-investment-contract-analysis-digital-assets | Keywords: sec, regulator, valuation, taxonomy, howey, framework, methodology, ico, securities, law, classification, dapp | |
| From Hype to Reality A Taxonomy of Blockchain Applications | Karlsruthe Institute of Technology | research | Keywords: framework, classification, category, valuation, model | |
| GDAX Digital Asset Framework | GDAX | research | Keywords: exchange, taxonomy, qualifications | |
| Guidance on Cryptoassets | UK FCA | regulatory | This paper looks at where cryptoassets would be considered ‘Specified Investments’ under the Regulated Activities Order (RAO),3 ‘Financial Instruments’ such as ‘Transferable Securities’ under the Markets in Financial Instruments Directive II (MiFID II),4 or captured under the Payment Services Regulations (PSRs), 5 or the E-Money Regulations (EMRs).6 It also covers where cryptoassets would not be considered ‘Specified Investments’ under the RAO. | Keywords: mifid, rao, securities, regulation, classification, oversight, taxonomy | |
| How Does Crypto OTC Actually Work | Circle Research | research | Keywords: trading, institutional, volume | |
| Immaturity of Tokenized Value Capture Mechanisms | Felipe Gaucho Pereira | research | There’s a good degree of consensus around the overvaluation of assets in the market; a lot of decent discussions around valuation methodologies aiming to frame the madness; but not much rational talk about the root issue: do cryptoassets really capture the value of something, at all? | Keywords: intrinsic, accretion, creation, wealth, definition | |
| Information Content Of Pre Open Social Media For Market Returns | Pluribus Labs Research | research | Keywords: sentiment, social media, algo trading, performance, indicators, twitter | |
| Initial Coin Offerings | Ernst Young | regulatory | Keywords: blockchain, ico, smart, contract, token, valuation, security, regulation | |
| Investing With Cryptocurrencies A Liquidity Constrained Approach | CRIX Crypto Index | research | Keywords: valuation, depth, order books, spread, slippage | |
| ITIFC Index Guide | MV Index Solutions | research | The index is passive, capitalisation weighted, capped; providing a diversified, long-term and non-speculative investment approach based on a list of crypto assets from the top 30 market leaders. | Keywords: benchmark, methodology, passive, portfolio | |
| Leveraging the Cryptoeconomic Machine | Aenigma Capital Research | research | Keywords: valuation, token, utility, intrinsic, fundamental, velocity | |
| MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, average, convergence, divergence, excel | |
| MakerDAO DAI Deep Dive | 51percent research | research | Keywords: maker, dai, mkr, stablecoin, cdp, valuation, governance, defi | |
| Moving forward with macroprudential frameworks | Bank Of International Settlements | research | Keywords: regulatory, banking, policy, methodology, legal, systemic | |
| NVT Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, network, transaction, excel | |
| Price Predictions | Cryptosheets | model | Keywords: metrics, indicators, forecast, excel | |
| Pricing Cryptocurrency Options The Case Of CRIX And Bitcoin | CRIX Crypto Index | research | Keywords: derviatives, options, analysis, hedge, index, benchmark | |
| Principles for Financial Benchmarks | ISCO | research | This Report, which has been prepared by the IOSCO Board Level Task Force on Financial Market Benchmarks (Task Force), sets out IOSCO’s final Principles on Financial Benchmarks. The Task Force was created in light of investigations and enforcement actions regarding attempted manipulation of major interest rate Benchmarks and the fragility and integrity of their use and their impact on the real economy. | Keywords: methodology, framework, index, reference rates, libor, manipulation | |
| Regulate or Not Overview Cryptographic Assets With Simultaneous Economic Properties | Bravenewcoin | research | Keywords: bitcoin, blockchain, dlt, taxonomy, classification, investment, managers, use, case, protocol, tokens, basket, index, commodities, store, value | |
| Republic Protocol | Aenigma Capital Research | research | Keywords: valuation, republic, protocol, ren | |
| Risks And Returns Of Cryptocurrency Risk Reward Factor Attribution | National Bureau of Economic Research | research | Keywords: valuation, analysis, modeling, portfolio management, performance | |
| RSI ATR MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, average, convergence, divergence, excel | |
| RSI Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, excel | |
| Scalability Interoperability and Sustainability of Blockchains | European Union Blockchain Forum | research | we take a look at the current and likely future state of blockchain in Europe through the lens of large-scale blockchain platforms. Along the way we ask ourselves what factors, technical and organisational, are likely to shape how platforms develop, and make some observations and recommendations for entrepreneurs and policy makers about best practice. | Keywords: adoption, integration, enterprise, scale, permissioned, ramp | |
| Scenario Timelines - Large Cap vs. Mid Cap | Paradigm | Scenario | Comparing performance of benchmarks through various impact event scenarios Scenario analysis can be a valuable risk management tool, especially when robust data provides more accurate and statistically significant insights. While shorter on an absolute basis, the crypto timeline accelerates at a velocity with no precedent. Our crypto events database provides a rich scenario backdrop against which to build and calibrate our risk models. | Keywords: benchmark, scenario, events, stress | |
| Sortino Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, risk, adjusted, volatility, excel | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| Taxonomy Of Blockchain Tech Principles Of Identification And Classification | Center for Blockchain Technologies | research | Keywords: immutable, identification, taxonomy, framework, org structure, governance | |
| The Brooklyn Project | Brooklyn Project | research | Keywords: taxonomy, classification | |
| The Brooklyn Project Framework Version 1 | Brooklyn Project | research | Keywords: taxonomy, classification | |
| Token Mania | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Volatility Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, vol, deviation, historical, excel | |
| YTD Rolling Returns - BTC, ETH vs Large & Mid Caps | Paradigm | Performance | Year to date cumulative rolling daily returns 2019 opened with Ethereum plunging over 50% before putting in a double bottom. While most highly correlated ERC20 tokens suffered equal or worse damage, BTC, large and mid cap crypto benchmarks proved more resilient. Dispersion gave way to correlation as ETH rebounded strongly heading into the summer. *Note: you can use the zoom selector from the toolbox to zoom individually for each chart. | Keywords: roi, returns, performance, ytd, cumulative, benchmark, index |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| Date | Date | false | string |
2019-01-01 |
| Bitfinex Avg | The `average` bid/ask `spread of all trade sizes` at Bitfinex | false | number |
|
| Bitfinex Block | The average `bid/ask spread for Block trades` at Bitfinex | false | number |
|
| Bitfinex Round Lot | The average `bid/ask spread for Round lot trades` at Bitfinex | false | number |
|
| Bitfinex Small Lot | The average `bid/ask spread for Small lot trades` at Bitfinex | false | number |
|
| Bitfinex Small/Block Ratio | `Ratio` of the average `bid/ask spread for Small lot vs Block trades` at Bitfinex | false | number |
|
| Bitstamp Avg | The average `bid/ask spread for all trade sizes` at Bitstamp | false | number |
|
| Bitstamp Block | The average `bid/ask spread for Block trades` at Bitstamp | false | number |
|
| Bitstamp Round Lot | The average `bid/ask spread for Round lot trades` at Bitstamp | false | number |
|
| Bitstamp Small Lot | The average `bid/ask spread for Small lot trades` at Bitstamp | false | number |
|
| Bitstamp Small/Block Ratio | `Ratio` of the average `bid/ask spread for Small lot vs Block trades` at Bitstamp | false | number |
|
| BTCE Avg | The average `bid/ask spread for all trade sizes` at BTCE | false | number |
|
| BTCE Block | The average `bid/ask spread for Block trades` at BTCE | false | number |
|
| BTCE Round Lot | The average `bid/ask spread for Round lot trades` at BTCE | false | number |
|
| BTCE Small Lot | The average `bid/ask spread for Small lot trades` at BTCE | false | number |
|
| BTCE Small/Block Ratio | `Ratio` of the average `bid/ask spread for Small lot vs Block trades` at BTCE | false | number |
|
| Coinbase Avg | The average `bid/ask spread for all trade sizes` at Coinbase | false | number |
|
| Coinbase Block | The average `bid/ask spread for Block trades` at Coinbase | false | number |
|
| Coinbase Round Lot | The average `bid/ask spread for Round lot trades` at Coinbase | false | number |
|
| Coinbase Small Lot | The average `bid/ask spread for Small lot trades` at Coinbase | false | number |
|
| Coinbase Small/Block Ratio | `Ratio` of the average `bid/ask spread for Small lot vs Block trades` at Coinbase | false | number |
|
| Gemini Avg | The average `bid/ask spread for all trade sizes` at Gemini | false | number |
|
| Gemini Block | The average `bid/ask spread for Block trades` at Gemini | false | number |
|
| Gemini Round Lot | The average `bid/ask spread for Round lot trades` at Gemini | false | number |
|
| Gemini Small Lot | The average `bid/ask spread for Small lot trades` at Gemini | false | number |
|
| Gemini Small/Block Ratio | `Ratio` of the average `bid/ask spread for Small lot vs Block trades` at Gemini | false | number |
|
| ItBit Avg | The average `bid/ask spread for all trade sizes` at ItBit | false | number |
|
| ItBit Block | The average `bid/ask spread for Block trades` at ItBit | false | number |
|
| ItBit Round Lot | The average `bid/ask spread for Round lot trades` at ItBit | false | number |
|
| ItBit Small Lot | The average `bid/ask spread for Small lot trades` at ItBit | false | number |
|
| ItBit Small/Block Ratio | `Ratio` of the average `bid/ask spread for Small lot vs Block trades` at ItBit | false | number |
|
| LakeBTC Avg | The average `bid/ask spread for all trade sizes` at LakeBTC | false | number |
|
| LakeBTC Block | The average `bid/ask spread for Block trades` at LakeBTC | false | number |
|
| LakeBTC Round Lot | The average `bid/ask spread for Round lot trades` at LakeBTC | false | number |
|
| LakeBTC Small Lot | The average `bid/ask spread for Small lot trades` at LakeBTC | false | number |
|
| LakeBTC Small/Block Ratio | `Ratio` of the average `bid/ask spread for Small lot vs Block trades` at LakeBTC | false | number |
|
| OKCoin Avg | The average `bid/ask spread for all trade sizes` at OKCoin | false | number |
|
| OKCoin Block | The average `bid/ask spread for Block trades` at OKCoin | false | number |
|
| OKCoin Round Lot | The average `bid/ask spread for Round lot trades` at OKCoin | false | number |
|
| OKCoin Small Lot | The average `bid/ask spread for Small lot trades` at OKCoin | false | number |
|
| OKCoin Small/Block Ratio | `Ratio` of the average `bid/ask spread for Small lot vs Block trades` at OKCoin | false | number |
|
| Others Avg | The average `bid/ask spread for all trade sizes` at Other exchanges | false | number |
|
| Others Block | The average `bid/ask spread for Block trades` at Other exchanges | false | number |
|
| Others Round Lot | The average `bid/ask spread for Round lot trades` at Other exchanges | false | number |
|
| Others Small Lot | The average `bid/ask spread for Small lot trades` at Other exchanges | false | number |
|
| Others Small/Block Ratio | `Ratio` of the average `bid/ask spread for Small lot vs Block trades` at Other exchanges | false | number |
|
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 SIFMA Fact Book | SIFMA | regulatory | Keywords: securities, trading volume, bonds, equities, fixed income, municipals, corporate, abs, mbs, agency, treasury | |
| Application of FinCENs Regulations to Persons Administering Exchanging Using Virtual Currencies | FINCEN | regulatory | Keywords: regulation, policy, law, exchange | |
| Are Cryptoassets Highly Correlated | Binance | research | Keywords: pattern, flows, trend, sentiment, herd | |
| Binance Coin Analysis and Valuation | MultiCoin Capital | research | Keywords: bnb, dex, burn, profit, yield, exchange, utility, token, discount | |
| Bitcoin Futures Volumes | Paradigm | Derivatives | Tracking activity, volumes and positioning in regulated crypto futures markets The introduction of regulated futures markets for Bitcoin was a widely anticipated and overhyped event. Difficult to argue there was no impact on the price from the introduction of a derivative instrument designed to provide traders with the ability to short and bet against the price of Bitcoin. As markets mature, the ability to hedge using futures will likely see the overall market continue to grow. | Keywords: cme, derivatives, futures, contract, swap, options, hedge, institutional, cftc, cboe, trading, volume | |
| Bitwise Asset Management Analysis of Real Bitcoin Trade Volume | Bitwise | research | Keywords: wash trading, exchanges, flows, order books, trading volume | |
| BTC Market Depth Spreads - Bitfinex | Paradigm | Liquidity | Average bid/offer spreads by order size as a liquidity proxy Liquidity is often measured as a function of what impact a given size trade has on an existing market price. As volatility increases, market makers (ie exchanges) become increasingly less willing to make markets on either side given the potential for higher downside risk. This is especially true as evidenced from the difference in market spreads for a 0 BTC, 10 BTC or 100 BTC size trade (small lot, round lot, block). | Keywords: liquidity, orderbook, trading, volume, oddlot | |
| CCCAGG Data Index Methodology | Cryptocompare | research | Keywords: exchange, trading volume, benchmark | |
| CFIX Cryptocurrency Methodology | Bloomberg | research | Keywords: reference, exchange, rate, pricing, bloomberg | |
| Circle Asset Framework | Circle Research | research | Keywords: exchange, listing | |
| Crypto Exchange Tokens | Paradigm | Exchange Tokens | Relative market cap of native exchange tokens Crypto exchange tokens used to pay platform and trading fees have witnessed varying success with Binance (BNB) clearly standing out from the rest. Despite known issues concerning conflict of interest, security and market manipulation the paper trail of revenues and associated cashflows make exchange platforms a more 'familiar' economic model for most traditional investors. | Keywords: exchange, fees, rewards, trading, binance | |
| Cryptocompare Exchange Review | Cryptocompare | research | Keywords: exchange, listing, trading, liquidity | |
| Exchange Liquidity Whitepaper | Conventure Research | research | Keywords: wash trading, exchanges, flows, order books, trading volume | |
| Exchange Review February 2019 | Cryptocompare | research | Keywords: trading, volume, flows, order book, liquidity, wash trading | |
| GDAX Digital Asset Framework | GDAX | research | Keywords: exchange, taxonomy, qualifications | |
| Global Trading Volumes vs Market Cap | Paradigm | Trading Volume | Aggregate USD volume vs global mkt cap Crypto trading volume data is notoriously inaccurate, fake, misleading and unreliable yet it remains an important metric for market participants. Do you trust crypto market trading volumes? | Keywords: global, trading volume, fake, exchange | |
| How Does Crypto OTC Actually Work | Circle Research | research | Keywords: trading, institutional, volume | |
| Information Content Of Pre Open Social Media For Market Returns | Pluribus Labs Research | research | Keywords: sentiment, social media, algo trading, performance, indicators, twitter | |
| Investing With Cryptocurrencies A Liquidity Constrained Approach | CRIX Crypto Index | research | Keywords: valuation, depth, order books, spread, slippage | |
| Is Bitcoin Really Untethered | University of Texas | research | Keywords: ustd, stablecoin, peg, trading volume, wash trading, correlation, fiat | |
| Market Liquidity Discussion Paper | DTCC | research | Keywords: custody, dtcc, clearing, liquidity, depth | |
| Proposed Framework for Crypto Asset Trading Platforms | Joint Canadian Securities Administrators | regulatory | Keywords: policy, regulation, clearing, oversight, law, integration | |
| Proposed Framework for Crypto-Asset Trading Platforms | Joint Canadian Securities Administrators | regulatory | The purpose of this joint CSA/IIROC Consultation Paper (the Consultation Paper) is to seek feedback from the financial technology (fintech) community, market participants, investors and other stakeholders on how requirements may be tailored for Platforms operating in Canada whose operations engage securities law. We intend to use this feedback to establish a framework that provides regulatory clarity to Platforms, addresses risks to investors and creates greater market integrity. | Keywords: canada, investment industry, regulatory, framework, consultation, trading, advisory, exchanges | |
| Pump And Dump | Wall Street Journal | research | Keywords: wash, ico, scam, trading volume, scheme | |
| Q3 Quarterly Report | Coingecko | research | Keywords: crypto, bitcoin, blockchain, social, sentiment, exchange, volume, ico, node, nft, event, contract | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| UniSwap Activity | Covalent | Defi | Tracking reserve balances vs. trading volume Growth of 'decentralized' liquidity protocols have seen increased volumes following substantial venture capital investment in 2018. | Keywords: defi, dex, uniswap, reserves, trading volume, liquidity, dapp | |
| Whats Next Blockchain | CB Insights | research | Keywords: stable, security, sto, fungible, nft, dlt, ledger, privacy, ico, smart, contract, exchange |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| name | Name of the asset | false | string |
bitcoin-sv |
| symbol | Symbol of the asset | false | string |
|
| datetimeUTC | Date as the coordinated universal time (UTC) convention | false | string |
|
| txCount | Total transaction count for the most recent period | false | number |
1000: |
| txCountChg1 | Percent `change of transaction count` during the `last period vs 1 period` prior (usually days) | false | number |
|
| txCountChg5 | Percent `change of transaction count` during the `last period vs 5 periods` prior (usually days) | false | number |
|
| txCountChg7 | Percent `change of transaction count` during the `last period vs 7 periods` prior (usually days) | false | number |
|
| txCountChg10 | Percent `change of transaction count` during the `last period vs 10 periods` prior (usually days) | false | number |
|
| txCountVol5 | `Volatility of transaction count` for the `trailing 5 periods` (usually days) | false | number |
|
| txCountVol7 | `Volatility of transaction count` for the `trailing 7 periods` (usually days) | false | number |
|
| txCountVol10 | `Volatility of transaction count` for the `trailing 10 periods` (usually days) | false | number |
|
| txCountSma5 | Simple moving average of transaction count for the `trailing 5 periods` (usually days) | false | number |
|
| txCountSma7 | Simple moving average of transaction count for the `trailing 7 periods` (usually days) | false | number |
|
| txCountSma10 | Simple moving average of transaction count for the `trailing 10 periods` (usually days) | false | number |
4000: |
| fees | Total fees generated for the most recent period | false | number |
|
| feesChg5 | Percent `change of fees generated` during the `last period vs 5 periods` prior (usually days) | false | number |
|
| feesChg7 | Percent `change of fees generated` during the `last period vs 7 periods` prior (usually days) | false | number |
|
| feesChg1 | Percent `change of fees generated` during the `last period vs 1 period` prior (usually days) | false | number |
|
| fees10 | Percent `change of fees generated` during the `last period vs 10 periods` prior (usually days) | false | number |
|
| feesVol5 | `Volatility of fees generated` for the `trailing 5 periods` (usually days) | false | number |
|
| feesVol7 | `Volatility of fees generated` for the `trailing 7 periods` (usually days) | false | number |
|
| feesVol10 | `Volatility of fees generated` for the `trailing 10 periods` (usually days) | false | number |
|
| feesSma5 | Simple moving average of fees generated for the `trailing 5 periods` (usually days) | false | number |
|
| feesSma7 | Simple moving average of fees generated for the `trailing 7 periods` (usually days) | false | number |
|
| feesSma10 | Simple moving average of fees generated for the `trailing 10 periods` (usually days) | false | number |
|
| rewards | Total rewards generated for the most recent period | false | number |
50000: |
| rewardsChg1 | Percent `change of rewards` for the `trailing period` (usually days) | false | number |
|
| rewardsChg5 | Percent `change of rewards` for the `trailing 5 periods` (usually days) | false | number |
|
| rewardsChg7 | Percent `change of rewards` for the `trailing 7 periods` (usually days) | false | number |
|
| rewards10 | Percent `change of rewards` for the `trailing 10 periods` (usually days) | false | number |
|
| rewardsVol5 | `Volatility of rewards` for the `trailing 5 periods` (usually days) | false | number |
|
| rewardsVol7 | `Volatility of rewards` for the `trailing 7 periods` (usually days) | false | number |
|
| rewardsVol10 | `Volatility of rewards` for the `trailing 10 periods` (usually days) | false | number |
|
| rewardsSma5 | Simple moving `average of rewards` for the `trailing 5 periods` (usually days) | false | number |
|
| rewardsSma7 | Simple moving `average of rewards` for the `trailing 7 periods` (usually days) | false | number |
|
| rewardsSma10 | Simple moving `average of rewards` for the `trailing 10 periods` (usually days) | false | number |
|
| coinsGenerated | Amount of coins or tokens generated | false | number |
|
| coinsGeneratedChg1 | Percent `change of coins or tokens generated` during the `last period vs 1 period` prior (usually days) | false | number |
:-0.5580 |
| coinsGeneratedChg5 | Percent `change of coins or tokens generated` during the `last period vs 5 periods` prior (usually days) | false | number |
|
| coinsGeneratedChg7 | Percent `change of coins or tokens generated` during the `last period vs 7 periods` prior (usually days) | false | number |
:.25 |
| coinsGenerated10 | Percent `change of coins or tokens generated` during the `last period vs 10 periods` prior (usually days) | false | number |
|
| coinsGeneratedVol5 | `Volatility of coins or tokens generated` for the `trailing 5 periods` (usually days) | false | number |
|
| coinsGeneratedVol7 | `Volatility of coins or tokens generated` for the `trailing 7 periods` (usually days) | false | number |
|
| coinsGeneratedVol10 | `Volatility of coins or tokens generated` for the `trailing 10 periods` (usually days) | false | number |
|
| coinsGeneratedSma5 | Simple moving `average of coins generated` for the `trailing 5 periods` (usually days) | false | number |
|
| coinsGeneratedSma7 | Simple moving `average of coins generated` for the `trailing 7 periods` (usually days) | false | number |
|
| coinsGeneratedSma10 | Simple moving `average of coins generated` for the `trailing 10 periods` (usually days) | false | number |
|
| elecGenerated | Daily `megawatthours generated (in thousands)` in the US as a proxy for electricty generated | false | number |
|
| elecGeneratedChg1 | Percent change of `megawatthours generated (in thousands)` during the `last period vs 1 period` prior (usually days) | false | number |
|
| elecGeneratedChg5 | Percent change of `megawatthours generated (in thousands)` during the `last period vs 5 periods` prior (usually days) | false | number |
|
| elecGeneratedChg7 | Percent change of `megawatthours generated (in thousands)` during the `last period vs 7 periods` prior (usually days) | false | number |
|
| elecGenerated10 | Percent change of `megawatthours generated (in thousands)` during the `last period vs 10 periods` prior (usually days) | false | number |
|
| elecGeneratedVol5 | Volatility of `megawatthours generated (in thousands)` in the US for the `trailing 5 periods` (usually days) | false | number |
|
| elecGeneratedVol7 | Volatility of `megawatthours generated (in thousands)` in the US for the `trailing 7 periods` (usually days) | false | number |
|
| elecGeneratedVol10 | Volatility of `megawatthours generated (in thousands)` in the US for the `trailing 10 periods` (usually days) | false | number |
|
| elecGeneratedSma5 | Simple moving average of `megawatthours generated (in thousands)` in the US for the `trailing 5 periods` (usually days) | false | number |
|
| elecGeneratedSma7 | Simple moving average of `megawatthours generated (in thousands)` in the US for the `trailing 7 periods` (usually days) | false | number |
|
| elecGeneratedSma10 | Simple moving average of `megawatthours generated (in thousands)` in the US for the `trailing 10 periods` (usually days) | false | number |
|
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 Annual Letter | MultiCoin Capital | research | Keywords: performance, selling, retail, investor, attacks, mining, volatility, infrastructure, defi, scaling, layer | |
| A Cost Of Production Model For Bitcoin | Adam Hayes | research | Keywords: mining, profitability, PoW, value formation, electricity, kWh, breakevens | |
| An Index For Investing In Blockchain Based Cryptocurrencies | CRIX Crypto Index | research | Keywords: benchmark, performance | |
| ATR Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, range, average, excel | |
| Barracuda Theoretical Analysis Power Polling Proof Stake Blockchains | DTR Research | academic | Keywords: stochastic, network, protocol, throughput | |
| BAT Token ATH Comparisons | Paradigm | Historical Performance | Comparing the listed ATH prices for the same token from multiple industry providers The disparities in what is referred to or reported as the 'all time high/low' price for even larger cap more well known tokens can be so wide in come cases it's hard to believe. | Keywords: all time, ath, atl, performance, brave | |
| Benchmark Relative Performance | Paradigm | Benchmarks | Comparing trailing returns for crypto benchmarks across large cap, small cap and type Perspective and context are the most important variables when analyzing benchmark performance in crypto. Any relative returns or relative value analysis should employ multi-period overlays to allow a more balanced view of short term price action vs long term price trends. | Keywords: roi, performance, returns, index | |
| Beyond Doomsday Economics of PoW Cryptocurrencies | Bank Of International Settlements | research | Keywords: crypto, blockchain, mining, electricity, pow, pos, proof, ledger, bitcoin, history, digitalisation | |
| Bitcoin Futures Market Evolution | Coinjanitor | research | Keywords: regression, correlation, volume, institution, cme, cboe, otc, contract | |
| Bitcoin Holder Analysis Through Cycles | Delphi Digital | research | Keywords: hodl, wave, utxo, unspent, transaction, output, selling, forecast, btc | |
| Bitcoin Mining Network | Cryptoscores | research | Keywords: marginal, cost, electricity, consumption, hashrate, hardware, asic, proof | |
| Bitcoin Post Issuance Existential Threat | The Block Crypto | research | Keywords: btc, security, budget, block, reward, transaction, fees, frm, ratio, multiple, lightning, utxo, miner | |
| Bitcoin Rolling 2019 YTD Performance | Paradigm | Performance | Year to date cumulative rolling daily returns for BTC Short term market moves can often mask a broader dispersion pattern in returns across crypto assets. Bitcoin's 'dominance' makes it easy to forget what trends may be developing under the surface. Rolling cumulative returns vs daily moves also support Tom Lee's thesis that the majority of gains for BTC are made in less than 2 weeks every year. | Keywords: roi, returns, performance, ytd, cumulative | |
| Bitcoin Solution for Payment Systems or Solution in Search of Problem | Bank of Spain | research | Keywords: blockchain, hash, function, cryptoasset, innovation, technology | |
| Blockchain Adoption in Capital Markets - 2018 | Greenwich Associates | research | Keywords: adoption, institutional investors, | |
| Blockchain by Cisco Build Trust Based Business Networks | Cisco | research | Keywords: corporate, enterprise, dlt, adoption | |
| BlockSci Design Applications Blockchain Analysis Platform | BlockSci Research | academic | Keywords: explorer, data, address, transaction, multisig, signature | |
| Breaking Blockchain Open | Deloitte | research | Keywords: survey, enterprise, private, adoption | |
| BTC Death, Golden and Bullshit Crosses | Paradigm | Technical Indicators | Reliable trend indicator or bear traps full of bullshit? A traditional death cross occurs when the short-term moving average (ie 50D) crosses below its long-term average (ie 200D) while the opposite represents a golden cross. These types of technical chart patterns are commonly used by active traders as broader market trend indicators. | Keywords: sma, trends, indicators, technical | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes Monthly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| BTC Transactions vs Hashrate | Paradigm | Network Activity | Historical trends between daily transactions and hashrate. Network activity as measured by total daily transaction count was often cited as a strongly correlated indicator relative to hashrate until large breaks in the historical relationship were seen in early 2018. | Keywords: transactions, hashrate | |
| BTC vs. Tether Trading Volume | Paradigm | Trading Volume | Tracking the relationship of Tether (USDT) vs. Bitcoin (BTC) volumes The relationship between Bitcoin & Tether is clearly evident from a variety of angles. These patterns have helped drive the 'FUD' narrative concerning the potential demise of Tether as a genuinely viable stablecoin. As the broader market continues to grow and mature, the question remains: if Tether disappeared tomorrow would it make a material impact? | Keywords: btc, usdt, correlation, stablecoin, tether, volume | |
| BTC Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BVOL vs EVOL | Paradigm | Volatility | Tracking synthetic crypto volatility benchmarks and derivatives In the absence of mature futures or options markets, exchanges offering derivative and synthetics trading often benefit. Access to leverage from 100-400x on some of these trading vehicles makes them even more important to track. After all, what could possibly go wrong? | Keywords: volatility, derivatives, bitmex, index | |
| Crypto Index Introduction Slides | CRIX Crypto Index | research | Keywords: benchmark, performance, methodology, crix | |
| Crypto Utopia | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Crypto War Games Decentralized Hostile Takeovers | Coinigy | research | Keywords: merger, acquisition, mining, network, buyout | |
| Crypto Week in Review 8.24.2018 | Satis Group | periodical | Keywords: performance | |
| Cryptocurrencies Looking Beyond Hype | Bank Of International Settlements | research | Keywords: crypto, blockchain, ledger, cbdc, regulation, volatility, mining, ico | |
| Cryptocurrencies Venture Into The Unknown | Cambridge Associates | research | Keywords: adoption, institutional investors | |
| Dandelion Lightweight Cryptocurrency Networking Formal Anonymity Guarantees | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, security, protocol, crypto | |
| Dandelion Redesigning Bitcoin Network for Anonymity | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, diffusion | |
| Decentralized Payment Systems Principles Designs | DTR Research | academic | Keywords: blockchain, consensus, scalability, throughput, mining, sharding, latency, privacy | |
| Discovering Bitcoins Network Topology Using Orphan Transactions | DTR Research | academic | Keywords: fairness, robustness, network, attack, eclipse | |
| Distributed Ledger Technology Beyond Blockchain | UK Office for Science | research | Keywords: disrupt, policy, innovation, labor force, adoption, socioeconomics | |
| Emerging Markets Bitcoin Volumes | Paradigm | Global Adoption | Tracking Bitcoin activity and usage in volatile emerging markets While growth trends of Bitcoin usage in emerging markets are more difficult to discern than the headlines would indicate, the clearest activity patterns emerge as spikes in reaction to local regulatory announcements. The explosion of volume in China immediately prior to and following the Chinese government's announcement banning all ICO related activity in early September of 2017 is perhaps the most notable. | Keywords: local, venezuela, iran, brazil, south africa, brl, fiat, embargo, sanction, adoption, inflation, vef, monetary policy, china | |
| ETH Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| ETH Transaction Complexity | Paradigm | Transaction Fees | Measuring ETH gas fees relative to network transactions & complexity This basic metric is calculated by dividing the average daily gas spend by the quantity of transactions. The logic being that a basic transaction on Ethereum has a 21,000 gas limit while more complex smart contracts (ie ICOs, crypto[insert animal], token transfers, airdrops, spam drops, staking payouts etc) require a higher limit. (*Note: this metric uses the assumed gas cost calculation of: IF ETH = $1000, THEN 21000 gas will cost 0.00000002 * 1000 * 21000 = 0.42 dollars, which is $0.42 cents USD). | Keywords: eth, gas, smart contract, fee, transaction, gwei | |
| ETH Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| Fee Ratio Multiple Ratios (FRM) | Paradigm | Transaction Fees | Measuring the distance for PoW chains to sustain security levels solely through transaction fees Why is FR important? The vast majority of crypto assets employ disinflationary monetary policies, whereby the rate of issuance declines geometrically. Read more here: https://medium.com/coinmonks/introducing-fee-ratio-multiple-frm-1eada9ac9bec | Keywords: pow, proof, mining, security, hash, fee | |
| Framework Securities Regulation Cryptocurrencies | Coincenter | research | Keywords: asset, token, howey, fork, airdrop, ico, pre, burn, mine, distribution, decentralization, profit | |
| Game Theory How to Destroy Bitcoin | Bletchley | academic | Keywords: network, attack, blockchain, selfish, stubborn, mining, 51, percent, academic | |
| Global Macro Trends Cryptocurrencies | Element Group | research | Keywords: asset, management, correction, volatility, bitcoin, dispersion, futures, geopolitical | |
| Incentive Compatibility on the Blockchain | Bank of Canada | research | Keywords: mining, miner, pow, bitcoin, double, spend, block, reward | |
| Information Content Of Pre Open Social Media For Market Returns | Pluribus Labs Research | research | Keywords: sentiment, social media, algo trading, performance, indicators, twitter | |
| Introducing Fee Ratio Multiple | CryptoChat | research | Keywords: btc, security, budget, block, reward, transaction, fees, frm, ratio, multiple, lightning, utxo, miner | |
| Is Bitcoin Really Untethered | University of Texas | research | Keywords: ustd, stablecoin, peg, trading volume, wash trading, correlation, fiat | |
| Key World Energy Statistics | International Energy Agency | research | Keywords: electricity, energy, mining, hashpower, hashrate | |
| MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, average, convergence, divergence, excel | |
| NVT Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, network, transaction, excel | |
| PolyShard Coded Sharding Achieves Linearly Scaling Efficiency Security | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, bitcoin, blockchain, throughput, lightning | |
| Price Predictions | Cryptosheets | model | Keywords: metrics, indicators, forecast, excel | |
| Risks And Returns Of Cryptocurrency Risk Reward Factor Attribution | National Bureau of Economic Research | research | Keywords: valuation, analysis, modeling, portfolio management, performance | |
| Routing Cryptocurrency with Spider Network | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, bitcoin, blockchain, throughput, lightning | |
| RSI ATR MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, average, convergence, divergence, excel | |
| RSI Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, excel | |
| Scalability Interoperability and Sustainability of Blockchains | European Union Blockchain Forum | research | we take a look at the current and likely future state of blockchain in Europe through the lens of large-scale blockchain platforms. Along the way we ask ourselves what factors, technical and organisational, are likely to shape how platforms develop, and make some observations and recommendations for entrepreneurs and policy makers about best practice. | Keywords: adoption, integration, enterprise, scale, permissioned, ramp | |
| Sortino Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, risk, adjusted, volatility, excel | |
| Sprites and State Channels Payment Networks Faster than Lightning | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, eth, bitcoin, blockchain | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| Token Mania | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Trading volumes vs volatility | Paradigm | Volatility | Examining the relationship between BTC trading volumes and multi-period volatility | Keywords: vol, correlation, price discovery | |
| Volatility Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, vol, deviation, historical, excel | |
| YTD Rolling Returns - BTC, ETH vs Large & Mid Caps | Paradigm | Performance | Year to date cumulative rolling daily returns 2019 opened with Ethereum plunging over 50% before putting in a double bottom. While most highly correlated ERC20 tokens suffered equal or worse damage, BTC, large and mid cap crypto benchmarks proved more resilient. Dispersion gave way to correlation as ETH rebounded strongly heading into the summer. *Note: you can use the zoom selector from the toolbox to zoom individually for each chart. | Keywords: roi, returns, performance, ytd, cumulative, benchmark, index |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| datetimeUTC | Query based off of a specific value for datetimeUTC | false | string |
|
| symbol | Query based off of a specific value for symbol | false | number |
BTC |
| name | Query based off of a specific value for name | false | string |
bitcoin |
| price | Query based off of a specific value for price | false | number |
|
| market_cap | Query based off of a specific value for market_cap | false | number |
10000000: |
| volume | Query based off of a specific value for volume | false | number |
|
| txCount | Query based off of a specific value for txCount | false | number |
|
| totalRewardsUSD | Query based off of a specific value for totalRewardsUSD | false | number |
|
| totalGenerationUSD | Query based off of a specific value for totalGenerationUSD | false | number |
|
| totalFeesUSD | Query based off of a specific value for totalFeesUSD | false | number |
|
| floatingSupply | Query based off of a specific value for floatingSupply | false | number |
|
| totalDemandMWatt | Query based off of a specific value for totalDemandMWatt | false | number |
5000000: |
| totalDemandForecastMWatt | Query based off of a specific value for totalDemandForecastMWatt | false | number |
|
| dailyNetInterchange | Query based off of a specific value for dailyNetInterchange | false | number |
|
| dailyGenerationMWatt | Query based off of a specific value for dailyGenerationMWatt | false | number |
|
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 Annual Letter | MultiCoin Capital | research | Keywords: performance, selling, retail, investor, attacks, mining, volatility, infrastructure, defi, scaling, layer | |
| 2018 Crypto Retrospective Summary | Circle Research | research | Keywords: bear, winter, ico, token, sale, fees, lightning, dapps, funds, mergers, venture, equity, sto, security, stablecoin | |
| A Cost Of Production Model For Bitcoin | Adam Hayes | research | Keywords: mining, profitability, PoW, value formation, electricity, kWh, breakevens | |
| Barracuda Theoretical Analysis Power Polling Proof Stake Blockchains | DTR Research | academic | Keywords: stochastic, network, protocol, throughput | |
| Beyond Doomsday Economics of PoW Cryptocurrencies | Bank Of International Settlements | research | Keywords: crypto, blockchain, mining, electricity, pow, pos, proof, ledger, bitcoin, history, digitalisation | |
| Bitcoin Delta Cap | Paradigm | Network Value | Assessing network value with DeltaCap DeltaCap is calculated through the following formula, measuring the difference between two long-term Bitcoin moving averages: DeltaCap = (RealizedCap - AverageCap). | Keywords: utxo, realized cap, market cap, holders, trend, outputs, unspent | |
| Bitcoin Holder Analysis Through Cycles | Delphi Digital | research | Keywords: hodl, wave, utxo, unspent, transaction, output, selling, forecast, btc | |
| Bitcoin Mining Network | Cryptoscores | research | Keywords: marginal, cost, electricity, consumption, hashrate, hardware, asic, proof | |
| Bitcoin Post Issuance Existential Threat | The Block Crypto | research | Keywords: btc, security, budget, block, reward, transaction, fees, frm, ratio, multiple, lightning, utxo, miner | |
| Bitcoin Solution for Payment Systems or Solution in Search of Problem | Bank of Spain | research | Keywords: blockchain, hash, function, cryptoasset, innovation, technology | |
| Blockchain Adoption in Capital Markets - 2018 | Greenwich Associates | research | Keywords: adoption, institutional investors, | |
| Blockchain by Cisco Build Trust Based Business Networks | Cisco | research | Keywords: corporate, enterprise, dlt, adoption | |
| BlockSci Design Applications Blockchain Analysis Platform | BlockSci Research | academic | Keywords: explorer, data, address, transaction, multisig, signature | |
| Breaking Blockchain Open | Deloitte | research | Keywords: survey, enterprise, private, adoption | |
| BTC Fees vs Rewards | Paradigm | Network Activity | Historical trends between daily block rewards and transaction fees As traditional deflationary PoW chains reduce their block rewards over time, can the fees alone support the network economics and security? | Keywords: rewards, fees, coinbase, block reward, profitability | |
| BTC Transactions vs Hashrate | Paradigm | Network Activity | Historical trends between daily transactions and hashrate. Network activity as measured by total daily transaction count was often cited as a strongly correlated indicator relative to hashrate until large breaks in the historical relationship were seen in early 2018. | Keywords: transactions, hashrate | |
| Crypto Exchange Tokens | Paradigm | Exchange Tokens | Relative market cap of native exchange tokens Crypto exchange tokens used to pay platform and trading fees have witnessed varying success with Binance (BNB) clearly standing out from the rest. Despite known issues concerning conflict of interest, security and market manipulation the paper trail of revenues and associated cashflows make exchange platforms a more 'familiar' economic model for most traditional investors. | Keywords: exchange, fees, rewards, trading, binance | |
| Crypto Utopia | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Crypto War Games Decentralized Hostile Takeovers | Coinigy | research | Keywords: merger, acquisition, mining, network, buyout | |
| Cryptocurrencies Looking Beyond Hype | Bank Of International Settlements | research | Keywords: crypto, blockchain, ledger, cbdc, regulation, volatility, mining, ico | |
| Cryptocurrencies Venture Into The Unknown | Cambridge Associates | research | Keywords: adoption, institutional investors | |
| Dandelion Lightweight Cryptocurrency Networking Formal Anonymity Guarantees | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, security, protocol, crypto | |
| Dandelion Redesigning Bitcoin Network for Anonymity | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, diffusion | |
| Decentralized Payment Systems Principles Designs | DTR Research | academic | Keywords: blockchain, consensus, scalability, throughput, mining, sharding, latency, privacy | |
| Discovering Bitcoins Network Topology Using Orphan Transactions | DTR Research | academic | Keywords: fairness, robustness, network, attack, eclipse | |
| Distributed Ledger Technology Beyond Blockchain | UK Office for Science | research | Keywords: disrupt, policy, innovation, labor force, adoption, socioeconomics | |
| Emerging Markets Bitcoin Volumes | Paradigm | Global Adoption | Tracking Bitcoin activity and usage in volatile emerging markets While growth trends of Bitcoin usage in emerging markets are more difficult to discern than the headlines would indicate, the clearest activity patterns emerge as spikes in reaction to local regulatory announcements. The explosion of volume in China immediately prior to and following the Chinese government's announcement banning all ICO related activity in early September of 2017 is perhaps the most notable. | Keywords: local, venezuela, iran, brazil, south africa, brl, fiat, embargo, sanction, adoption, inflation, vef, monetary policy, china | |
| ETH Transaction Complexity | Paradigm | Transaction Fees | Measuring ETH gas fees relative to network transactions & complexity This basic metric is calculated by dividing the average daily gas spend by the quantity of transactions. The logic being that a basic transaction on Ethereum has a 21,000 gas limit while more complex smart contracts (ie ICOs, crypto[insert animal], token transfers, airdrops, spam drops, staking payouts etc) require a higher limit. (*Note: this metric uses the assumed gas cost calculation of: IF ETH = $1000, THEN 21000 gas will cost 0.00000002 * 1000 * 21000 = 0.42 dollars, which is $0.42 cents USD). | Keywords: eth, gas, smart contract, fee, transaction, gwei | |
| Fee Ratio Multiple Ratios (FRM) | Paradigm | Transaction Fees | Measuring the distance for PoW chains to sustain security levels solely through transaction fees Why is FR important? The vast majority of crypto assets employ disinflationary monetary policies, whereby the rate of issuance declines geometrically. Read more here: https://medium.com/coinmonks/introducing-fee-ratio-multiple-frm-1eada9ac9bec | Keywords: pow, proof, mining, security, hash, fee | |
| Framework Securities Regulation Cryptocurrencies | Coincenter | research | Keywords: asset, token, howey, fork, airdrop, ico, pre, burn, mine, distribution, decentralization, profit | |
| Game Theory How to Destroy Bitcoin | Bletchley | academic | Keywords: network, attack, blockchain, selfish, stubborn, mining, 51, percent, academic | |
| Incentive Compatibility on the Blockchain | Bank of Canada | research | Keywords: mining, miner, pow, bitcoin, double, spend, block, reward | |
| Introducing Fee Ratio Multiple | CryptoChat | research | Keywords: btc, security, budget, block, reward, transaction, fees, frm, ratio, multiple, lightning, utxo, miner | |
| Key World Energy Statistics | International Energy Agency | research | Keywords: electricity, energy, mining, hashpower, hashrate | |
| NVT Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, network, transaction, excel | |
| PolyShard Coded Sharding Achieves Linearly Scaling Efficiency Security | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, bitcoin, blockchain, throughput, lightning | |
| Routing Cryptocurrency with Spider Network | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, bitcoin, blockchain, throughput, lightning | |
| Scalability Interoperability and Sustainability of Blockchains | European Union Blockchain Forum | research | we take a look at the current and likely future state of blockchain in Europe through the lens of large-scale blockchain platforms. Along the way we ask ourselves what factors, technical and organisational, are likely to shape how platforms develop, and make some observations and recommendations for entrepreneurs and policy makers about best practice. | Keywords: adoption, integration, enterprise, scale, permissioned, ramp | |
| Sprites and State Channels Payment Networks Faster than Lightning | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, eth, bitcoin, blockchain | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| Token Mania | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| datetimeUTC | Date as the coordinated universal time (UTC) convention | false | string |
2019-01-01 |
| symbol | Query based off of a specific value for symbol or symbols using csv (BTC) | true | string |
BTC |
| price | Price of the asset in USD | false | number |
-0.0458716 |
| change1 | Percent Change for the trailing `1 periods` (usually days) | false | number |
-0.0630631 |
| change5 | Percent Change for the trailing `5 periods` (usually days) | false | number |
-0.12605 |
| change7 | Percent Change for the trailing `7 periods` (usually days) | false | number |
-0.840246 |
| change10 | Percent Change for the trailing `10 periods` (usually days) | false | number |
-0.840246 |
| change20 | Percent Change for the trailing `20 periods` (usually days) | false | number |
-0.840246 |
| change30 | Percent Change for the trailing `30 periods` (usually days) | false | number |
-0.840246 |
| change50 | Percent Change for the trailing `50 periods` (usually days) | false | number |
-0.652174 |
| change90 | Percent Change for the trailing `90 periods` (usually days) | false | number |
-0.840246 |
| change180 | Percent Change for the trailing `180 periods` (usually days) | false | number |
0.309302 |
| change365 | Percent Change for the trailing `365 periods` (usually days) | false | number |
0.25256 |
| sma5 | Simple moving average for the `trailing 5 periods` (usually days) | false | number |
1.101 |
| sma7 | Simple moving average for the `trailing 7 periods` (usually days) | false | number |
2.739 |
| sma10 | Simple moving average for the `trailing 10 periods` (usually days) | false | number |
3.996 |
| sma20 | Simple moving average for the `trailing 20 periods` (usually days) | false | number |
5.0016 |
| sma30 | Simple moving average for the `trailing 30 periods` (usually days) | false | number |
5.7558 |
| sma50 | Simple moving average for the `trailing 50 periods` (usually days) | false | number |
6.0424 |
| sma100 | Simple moving average for the `trailing 100 periods` (usually days) | false | number |
6.0424 |
| sma200 | Simple moving average for the `trailing 200 periods` (usually days) | false | number |
10000: |
| sma365 | Simple moving average for the `trailing 365 periods` (usually days) | false | number |
|
| var5 | Variance for the trailing `5 periods` (usually days) | false | number |
0.00443222 |
| var7 | Variance for the trailing `7 periods` (usually days) | false | number |
6.41825 |
| var10 | Variance for the trailing `10 periods` (usually days) | false | number |
7.47413 |
| var20 | Variance for the trailing `20 periods` (usually days) | false | number |
5.97127 |
| var30 | Variance for the trailing `30 periods` (usually days) | false | number |
1.072 |
| var50 | Variance for the trailing `50 periods` (usually days) | false | number |
1.07857 |
| vol5 | Volatility for the trailing `5 periods` (usually days) | false | number |
1.25142 |
| vol7 | Volatility for the trailing `7 periods` (usually days) | false | number |
7.39777 |
| vol10 | Volatility for the trailing `10 periods` (usually days) | false | number |
6.04659 |
| vol20 | Volatility for the trailing `20 periods` (usually days) | false | number |
4.68748 |
| vol30 | Volatility for the trailing `30 periods` (usually days) | false | number |
0.00062 |
| vol50 | Volatility for the trailing `50 periods` (usually days) | false | number |
0.000547619 |
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 Annual Letter | MultiCoin Capital | research | Keywords: performance, selling, retail, investor, attacks, mining, volatility, infrastructure, defi, scaling, layer | |
| An Index For Investing In Blockchain Based Cryptocurrencies | CRIX Crypto Index | research | Keywords: benchmark, performance | |
| ATR Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, range, average, excel | |
| BAT Token ATH Comparisons | Paradigm | Historical Performance | Comparing the listed ATH prices for the same token from multiple industry providers The disparities in what is referred to or reported as the 'all time high/low' price for even larger cap more well known tokens can be so wide in come cases it's hard to believe. | Keywords: all time, ath, atl, performance, brave | |
| Benchmark Relative Performance | Paradigm | Benchmarks | Comparing trailing returns for crypto benchmarks across large cap, small cap and type Perspective and context are the most important variables when analyzing benchmark performance in crypto. Any relative returns or relative value analysis should employ multi-period overlays to allow a more balanced view of short term price action vs long term price trends. | Keywords: roi, performance, returns, index | |
| Bitcoin Futures Market Evolution | Coinjanitor | research | Keywords: regression, correlation, volume, institution, cme, cboe, otc, contract | |
| Bitcoin Rolling 2019 YTD Performance | Paradigm | Performance | Year to date cumulative rolling daily returns for BTC Short term market moves can often mask a broader dispersion pattern in returns across crypto assets. Bitcoin's 'dominance' makes it easy to forget what trends may be developing under the surface. Rolling cumulative returns vs daily moves also support Tom Lee's thesis that the majority of gains for BTC are made in less than 2 weeks every year. | Keywords: roi, returns, performance, ytd, cumulative | |
| BTC Death, Golden and Bullshit Crosses | Paradigm | Technical Indicators | Reliable trend indicator or bear traps full of bullshit? A traditional death cross occurs when the short-term moving average (ie 50D) crosses below its long-term average (ie 200D) while the opposite represents a golden cross. These types of technical chart patterns are commonly used by active traders as broader market trend indicators. | Keywords: sma, trends, indicators, technical | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes Monthly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BTC vs. Tether Trading Volume | Paradigm | Trading Volume | Tracking the relationship of Tether (USDT) vs. Bitcoin (BTC) volumes The relationship between Bitcoin & Tether is clearly evident from a variety of angles. These patterns have helped drive the 'FUD' narrative concerning the potential demise of Tether as a genuinely viable stablecoin. As the broader market continues to grow and mature, the question remains: if Tether disappeared tomorrow would it make a material impact? | Keywords: btc, usdt, correlation, stablecoin, tether, volume | |
| BTC Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BVOL vs EVOL | Paradigm | Volatility | Tracking synthetic crypto volatility benchmarks and derivatives In the absence of mature futures or options markets, exchanges offering derivative and synthetics trading often benefit. Access to leverage from 100-400x on some of these trading vehicles makes them even more important to track. After all, what could possibly go wrong? | Keywords: volatility, derivatives, bitmex, index | |
| Crypto Index Introduction Slides | CRIX Crypto Index | research | Keywords: benchmark, performance, methodology, crix | |
| Crypto Week in Review 8.24.2018 | Satis Group | periodical | Keywords: performance | |
| Cryptocurrencies Looking Beyond Hype | Bank Of International Settlements | research | Keywords: crypto, blockchain, ledger, cbdc, regulation, volatility, mining, ico | |
| ETH Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| ETH Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| Global Macro Trends Cryptocurrencies | Element Group | research | Keywords: asset, management, correction, volatility, bitcoin, dispersion, futures, geopolitical | |
| Information Content Of Pre Open Social Media For Market Returns | Pluribus Labs Research | research | Keywords: sentiment, social media, algo trading, performance, indicators, twitter | |
| Is Bitcoin Really Untethered | University of Texas | research | Keywords: ustd, stablecoin, peg, trading volume, wash trading, correlation, fiat | |
| MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, average, convergence, divergence, excel | |
| NVT Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, network, transaction, excel | |
| Price Predictions | Cryptosheets | model | Keywords: metrics, indicators, forecast, excel | |
| Risks And Returns Of Cryptocurrency Risk Reward Factor Attribution | National Bureau of Economic Research | research | Keywords: valuation, analysis, modeling, portfolio management, performance | |
| RSI ATR MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, average, convergence, divergence, excel | |
| RSI Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, excel | |
| Sortino Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, risk, adjusted, volatility, excel | |
| Trading volumes vs volatility | Paradigm | Volatility | Examining the relationship between BTC trading volumes and multi-period volatility | Keywords: vol, correlation, price discovery | |
| Volatility Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, vol, deviation, historical, excel | |
| YTD Rolling Returns - BTC, ETH vs Large & Mid Caps | Paradigm | Performance | Year to date cumulative rolling daily returns 2019 opened with Ethereum plunging over 50% before putting in a double bottom. While most highly correlated ERC20 tokens suffered equal or worse damage, BTC, large and mid cap crypto benchmarks proved more resilient. Dispersion gave way to correlation as ETH rebounded strongly heading into the summer. *Note: you can use the zoom selector from the toolbox to zoom individually for each chart. | Keywords: roi, returns, performance, ytd, cumulative, benchmark, index |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| name | Name of the asset | false | string |
bitcoin-sv |
| symbol | Symbol of the asset | false | string |
|
| datetimeUTC | Date as the coordinated universal time (UTC) convention | false | string |
|
| txCount | Total transaction count for the most recent period | false | number |
1000: |
| txCountChg1 | Percent `change of transaction count` during the `last period vs 1 period` prior (usually days) | false | number |
|
| txCountChg5 | Percent `change of transaction count` during the `last period vs 5 periods` prior (usually days) | false | number |
|
| txCountChg7 | Percent `change of transaction count` during the `last period vs 7 periods` prior (usually days) | false | number |
|
| txCountChg10 | Percent `change of transaction count` during the `last period vs 10 periods` prior (usually days) | false | number |
|
| txCountVol5 | `Volatility of transaction count` for the `trailing 5 periods` (usually days) | false | number |
|
| txCountVol7 | `Volatility of transaction count` for the `trailing 7 periods` (usually days) | false | number |
|
| txCountVol10 | `Volatility of transaction count` for the `trailing 10 periods` (usually days) | false | number |
|
| txCountSma5 | Simple moving average of transaction count for the `trailing 5 periods` (usually days) | false | number |
|
| txCountSma7 | Simple moving average of transaction count for the `trailing 7 periods` (usually days) | false | number |
|
| txCountSma10 | Simple moving average of transaction count for the `trailing 10 periods` (usually days) | false | number |
4000: |
| fees | Total fees generated for the most recent period | false | number |
|
| feesChg1 | Percent `change of fees generated` during the `last period vs 1 period` prior (usually days) | false | number |
|
| feesChg5 | Percent `change of fees generated` during the `last period vs 5 periods` prior (usually days) | false | number |
|
| feesChg7 | Percent `change of fees generated` during the `last period vs 7 periods` prior (usually days) | false | number |
|
| feesChg10 | Percent `change of fees generated` during the `last period vs 10 periods` prior (usually days) | false | number |
|
| feesVol5 | `Volatility of fees generated` for the `trailing 5 periods` (usually days) | false | number |
|
| feesVol7 | `Volatility of fees generated` for the `trailing 7 periods` (usually days) | false | number |
|
| feesVol10 | `Volatility of fees generated` for the `trailing 10 periods` (usually days) | false | number |
|
| feesSma5 | Simple moving average of fees generated for the `trailing 5 periods` (usually days) | false | number |
|
| feesSma7 | Simple moving average of fees generated for the `trailing 7 periods` (usually days) | false | number |
|
| feesSma10 | Simple moving average of fees generated for the `trailing 10 periods` (usually days) | false | number |
|
| rewards | Total rewards generated for the most recent period | false | number |
50000: |
| rewardsChg1 | Percent `change of rewards` for the `trailing period` (usually days) | false | number |
|
| rewardsChg5 | Percent `change of rewards` for the `trailing 5 periods` (usually days) | false | number |
|
| rewardsChg7 | Percent `change of rewards` for the `trailing 7 periods` (usually days) | false | number |
|
| rewards10 | Percent `change of rewards` for the `trailing 10 periods` (usually days) | false | number |
|
| rewardsVol5 | `Volatility of rewards` for the `trailing 5 periods` (usually days) | false | number |
|
| rewardsVol7 | `Volatility of rewards` for the `trailing 7 periods` (usually days) | false | number |
|
| rewardsVol10 | `Volatility of rewards` for the `trailing 10 periods` (usually days) | false | number |
|
| rewardsSma5 | Simple moving `average of rewards` for the `trailing 5 periods` (usually days) | false | number |
|
| rewardsSma7 | Simple moving `average of rewards` for the `trailing 7 periods` (usually days) | false | number |
|
| rewardsSma10 | Simple moving `average of rewards` for the `trailing 10 periods` (usually days) | false | number |
|
| coinsGenerated | Amount of coins or tokens generated | false | number |
|
| coinsGeneratedChg1 | Percent `change of coins or tokens generated` during the `last period vs 1 period` prior (usually days) | false | number |
:-0.5580 |
| coinsGeneratedChg5 | Percent `change of coins or tokens generated` during the `last period vs 5 periods` prior (usually days) | false | number |
|
| coinsGeneratedChg7 | Percent `change of coins or tokens generated` during the `last period vs 7 periods` prior (usually days) | false | number |
:.25 |
| coinsGenerated10 | Percent `change of coins or tokens generated` during the `last period vs 10 periods` prior (usually days) | false | number |
|
| coinsGeneratedVol5 | `Volatility of coins or tokens generated` for the `trailing 5 periods` (usually days) | false | number |
|
| coinsGeneratedVol7 | `Volatility of coins or tokens generated` for the `trailing 7 periods` (usually days) | false | number |
|
| coinsGeneratedVol10 | `Volatility of coins or tokens generated` for the `trailing 10 periods` (usually days) | false | number |
|
| coinsGeneratedSma5 | Simple moving `average of coins generated` for the `trailing 5 periods` (usually days) | false | number |
|
| coinsGeneratedSma7 | Simple moving `average of coins generated` for the `trailing 7 periods` (usually days) | false | number |
|
| coinsGeneratedSma10 | Simple moving `average of coins generated` for the `trailing 10 periods` (usually days) | false | number |
|
| elecGenerated | Daily `megawatthours generated (in thousands)` in the US as a proxy for electricty generated | false | number |
|
| elecGeneratedChg1 | Percent change of `megawatthours generated (in thousands)` during the `last period vs 1 period` prior (usually days) | false | number |
|
| elecGeneratedChg5 | Percent change of `megawatthours generated (in thousands)` during the `last period vs 5 periods` prior (usually days) | false | number |
|
| elecGeneratedChg7 | Percent change of `megawatthours generated (in thousands)` during the `last period vs 7 periods` prior (usually days) | false | number |
|
| elecGenerated10 | Percent change of `megawatthours generated (in thousands)` during the `last period vs 10 periods` prior (usually days) | false | number |
|
| elecGeneratedVol5 | Volatility of `megawatthours generated (in thousands)` in the US for the `trailing 5 periods` (usually days) | false | number |
|
| elecGeneratedVol7 | Volatility of `megawatthours generated (in thousands)` in the US for the `trailing 7 periods` (usually days) | false | number |
|
| elecGeneratedVol10 | Volatility of `megawatthours generated (in thousands)` in the US for the `trailing 10 periods` (usually days) | false | number |
|
| elecGeneratedSma5 | Simple moving average of `megawatthours generated (in thousands)` in the US for the `trailing 5 periods` (usually days) | false | number |
|
| elecGeneratedSma7 | Simple moving average of `megawatthours generated (in thousands)` in the US for the `trailing 7 periods` (usually days) | false | number |
|
| elecGeneratedSma10 | Simple moving average of `megawatthours generated (in thousands)` in the US for the `trailing 10 periods` (usually days) | false | number |
|
| fees10 | Percent `change of fees generated` during the `last period vs 10 periods` prior (usually days) | false | number |
|
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 Annual Letter | MultiCoin Capital | research | Keywords: performance, selling, retail, investor, attacks, mining, volatility, infrastructure, defi, scaling, layer | |
| A Cost Of Production Model For Bitcoin | Adam Hayes | research | Keywords: mining, profitability, PoW, value formation, electricity, kWh, breakevens | |
| An Index For Investing In Blockchain Based Cryptocurrencies | CRIX Crypto Index | research | Keywords: benchmark, performance | |
| ATR Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, range, average, excel | |
| Barracuda Theoretical Analysis Power Polling Proof Stake Blockchains | DTR Research | academic | Keywords: stochastic, network, protocol, throughput | |
| BAT Token ATH Comparisons | Paradigm | Historical Performance | Comparing the listed ATH prices for the same token from multiple industry providers The disparities in what is referred to or reported as the 'all time high/low' price for even larger cap more well known tokens can be so wide in come cases it's hard to believe. | Keywords: all time, ath, atl, performance, brave | |
| Benchmark Relative Performance | Paradigm | Benchmarks | Comparing trailing returns for crypto benchmarks across large cap, small cap and type Perspective and context are the most important variables when analyzing benchmark performance in crypto. Any relative returns or relative value analysis should employ multi-period overlays to allow a more balanced view of short term price action vs long term price trends. | Keywords: roi, performance, returns, index | |
| Beyond Doomsday Economics of PoW Cryptocurrencies | Bank Of International Settlements | research | Keywords: crypto, blockchain, mining, electricity, pow, pos, proof, ledger, bitcoin, history, digitalisation | |
| Bitcoin Futures Market Evolution | Coinjanitor | research | Keywords: regression, correlation, volume, institution, cme, cboe, otc, contract | |
| Bitcoin Holder Analysis Through Cycles | Delphi Digital | research | Keywords: hodl, wave, utxo, unspent, transaction, output, selling, forecast, btc | |
| Bitcoin Mining Network | Cryptoscores | research | Keywords: marginal, cost, electricity, consumption, hashrate, hardware, asic, proof | |
| Bitcoin Post Issuance Existential Threat | The Block Crypto | research | Keywords: btc, security, budget, block, reward, transaction, fees, frm, ratio, multiple, lightning, utxo, miner | |
| Bitcoin Rolling 2019 YTD Performance | Paradigm | Performance | Year to date cumulative rolling daily returns for BTC Short term market moves can often mask a broader dispersion pattern in returns across crypto assets. Bitcoin's 'dominance' makes it easy to forget what trends may be developing under the surface. Rolling cumulative returns vs daily moves also support Tom Lee's thesis that the majority of gains for BTC are made in less than 2 weeks every year. | Keywords: roi, returns, performance, ytd, cumulative | |
| Bitcoin Solution for Payment Systems or Solution in Search of Problem | Bank of Spain | research | Keywords: blockchain, hash, function, cryptoasset, innovation, technology | |
| Blockchain Adoption in Capital Markets - 2018 | Greenwich Associates | research | Keywords: adoption, institutional investors, | |
| Blockchain by Cisco Build Trust Based Business Networks | Cisco | research | Keywords: corporate, enterprise, dlt, adoption | |
| BlockSci Design Applications Blockchain Analysis Platform | BlockSci Research | academic | Keywords: explorer, data, address, transaction, multisig, signature | |
| Breaking Blockchain Open | Deloitte | research | Keywords: survey, enterprise, private, adoption | |
| BTC Death, Golden and Bullshit Crosses | Paradigm | Technical Indicators | Reliable trend indicator or bear traps full of bullshit? A traditional death cross occurs when the short-term moving average (ie 50D) crosses below its long-term average (ie 200D) while the opposite represents a golden cross. These types of technical chart patterns are commonly used by active traders as broader market trend indicators. | Keywords: sma, trends, indicators, technical | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes Monthly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BTC Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| BTC Transactions vs Hashrate | Paradigm | Network Activity | Historical trends between daily transactions and hashrate. Network activity as measured by total daily transaction count was often cited as a strongly correlated indicator relative to hashrate until large breaks in the historical relationship were seen in early 2018. | Keywords: transactions, hashrate | |
| BTC vs. Tether Trading Volume | Paradigm | Trading Volume | Tracking the relationship of Tether (USDT) vs. Bitcoin (BTC) volumes The relationship between Bitcoin & Tether is clearly evident from a variety of angles. These patterns have helped drive the 'FUD' narrative concerning the potential demise of Tether as a genuinely viable stablecoin. As the broader market continues to grow and mature, the question remains: if Tether disappeared tomorrow would it make a material impact? | Keywords: btc, usdt, correlation, stablecoin, tether, volume | |
| BTC Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| BVOL vs EVOL | Paradigm | Volatility | Tracking synthetic crypto volatility benchmarks and derivatives In the absence of mature futures or options markets, exchanges offering derivative and synthetics trading often benefit. Access to leverage from 100-400x on some of these trading vehicles makes them even more important to track. After all, what could possibly go wrong? | Keywords: volatility, derivatives, bitmex, index | |
| Crypto Index Introduction Slides | CRIX Crypto Index | research | Keywords: benchmark, performance, methodology, crix | |
| Crypto Utopia | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Crypto War Games Decentralized Hostile Takeovers | Coinigy | research | Keywords: merger, acquisition, mining, network, buyout | |
| Crypto Week in Review 8.24.2018 | Satis Group | periodical | Keywords: performance | |
| Cryptocurrencies Looking Beyond Hype | Bank Of International Settlements | research | Keywords: crypto, blockchain, ledger, cbdc, regulation, volatility, mining, ico | |
| Cryptocurrencies Venture Into The Unknown | Cambridge Associates | research | Keywords: adoption, institutional investors | |
| Dandelion Lightweight Cryptocurrency Networking Formal Anonymity Guarantees | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, security, protocol, crypto | |
| Dandelion Redesigning Bitcoin Network for Anonymity | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, diffusion | |
| Decentralized Payment Systems Principles Designs | DTR Research | academic | Keywords: blockchain, consensus, scalability, throughput, mining, sharding, latency, privacy | |
| Discovering Bitcoins Network Topology Using Orphan Transactions | DTR Research | academic | Keywords: fairness, robustness, network, attack, eclipse | |
| Distributed Ledger Technology Beyond Blockchain | UK Office for Science | research | Keywords: disrupt, policy, innovation, labor force, adoption, socioeconomics | |
| Emerging Markets Bitcoin Volumes | Paradigm | Global Adoption | Tracking Bitcoin activity and usage in volatile emerging markets While growth trends of Bitcoin usage in emerging markets are more difficult to discern than the headlines would indicate, the clearest activity patterns emerge as spikes in reaction to local regulatory announcements. The explosion of volume in China immediately prior to and following the Chinese government's announcement banning all ICO related activity in early September of 2017 is perhaps the most notable. | Keywords: local, venezuela, iran, brazil, south africa, brl, fiat, embargo, sanction, adoption, inflation, vef, monetary policy, china | |
| ETH Monthly Price Changes | Paradigm | Historical Performance | 30D price percentage changes | Keywords: roi, performance, returns, roi | |
| ETH Transaction Complexity | Paradigm | Transaction Fees | Measuring ETH gas fees relative to network transactions & complexity This basic metric is calculated by dividing the average daily gas spend by the quantity of transactions. The logic being that a basic transaction on Ethereum has a 21,000 gas limit while more complex smart contracts (ie ICOs, crypto[insert animal], token transfers, airdrops, spam drops, staking payouts etc) require a higher limit. (*Note: this metric uses the assumed gas cost calculation of: IF ETH = $1000, THEN 21000 gas will cost 0.00000002 * 1000 * 21000 = 0.42 dollars, which is $0.42 cents USD). | Keywords: eth, gas, smart contract, fee, transaction, gwei | |
| ETH Weekly Price Changes | Paradigm | Historical Performance | 7D price percentage changes Weekly performance over a longer period of time often reveals more coherent trends while also allowing for more apples to apples comparisons with capital markets asset like commodities or equities. It can also provide better context for actual price changes relative to confusing headlines and social media narratives. | Keywords: roi, performance, returns, roi | |
| Fee Ratio Multiple Ratios (FRM) | Paradigm | Transaction Fees | Measuring the distance for PoW chains to sustain security levels solely through transaction fees Why is FR important? The vast majority of crypto assets employ disinflationary monetary policies, whereby the rate of issuance declines geometrically. Read more here: https://medium.com/coinmonks/introducing-fee-ratio-multiple-frm-1eada9ac9bec | Keywords: pow, proof, mining, security, hash, fee | |
| Framework Securities Regulation Cryptocurrencies | Coincenter | research | Keywords: asset, token, howey, fork, airdrop, ico, pre, burn, mine, distribution, decentralization, profit | |
| Game Theory How to Destroy Bitcoin | Bletchley | academic | Keywords: network, attack, blockchain, selfish, stubborn, mining, 51, percent, academic | |
| Global Macro Trends Cryptocurrencies | Element Group | research | Keywords: asset, management, correction, volatility, bitcoin, dispersion, futures, geopolitical | |
| Incentive Compatibility on the Blockchain | Bank of Canada | research | Keywords: mining, miner, pow, bitcoin, double, spend, block, reward | |
| Information Content Of Pre Open Social Media For Market Returns | Pluribus Labs Research | research | Keywords: sentiment, social media, algo trading, performance, indicators, twitter | |
| Introducing Fee Ratio Multiple | CryptoChat | research | Keywords: btc, security, budget, block, reward, transaction, fees, frm, ratio, multiple, lightning, utxo, miner | |
| Is Bitcoin Really Untethered | University of Texas | research | Keywords: ustd, stablecoin, peg, trading volume, wash trading, correlation, fiat | |
| Key World Energy Statistics | International Energy Agency | research | Keywords: electricity, energy, mining, hashpower, hashrate | |
| MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, average, convergence, divergence, excel | |
| NVT Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, network, transaction, excel | |
| PolyShard Coded Sharding Achieves Linearly Scaling Efficiency Security | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, bitcoin, blockchain, throughput, lightning | |
| Price Predictions | Cryptosheets | model | Keywords: metrics, indicators, forecast, excel | |
| Risks And Returns Of Cryptocurrency Risk Reward Factor Attribution | National Bureau of Economic Research | research | Keywords: valuation, analysis, modeling, portfolio management, performance | |
| Routing Cryptocurrency with Spider Network | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, bitcoin, blockchain, throughput, lightning | |
| RSI ATR MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, average, convergence, divergence, excel | |
| RSI Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, excel | |
| Scalability Interoperability and Sustainability of Blockchains | European Union Blockchain Forum | research | we take a look at the current and likely future state of blockchain in Europe through the lens of large-scale blockchain platforms. Along the way we ask ourselves what factors, technical and organisational, are likely to shape how platforms develop, and make some observations and recommendations for entrepreneurs and policy makers about best practice. | Keywords: adoption, integration, enterprise, scale, permissioned, ramp | |
| Sortino Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, risk, adjusted, volatility, excel | |
| Sprites and State Channels Payment Networks Faster than Lightning | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, eth, bitcoin, blockchain | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| Token Mania | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Trading volumes vs volatility | Paradigm | Volatility | Examining the relationship between BTC trading volumes and multi-period volatility | Keywords: vol, correlation, price discovery | |
| Volatility Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, vol, deviation, historical, excel | |
| YTD Rolling Returns - BTC, ETH vs Large & Mid Caps | Paradigm | Performance | Year to date cumulative rolling daily returns 2019 opened with Ethereum plunging over 50% before putting in a double bottom. While most highly correlated ERC20 tokens suffered equal or worse damage, BTC, large and mid cap crypto benchmarks proved more resilient. Dispersion gave way to correlation as ETH rebounded strongly heading into the summer. *Note: you can use the zoom selector from the toolbox to zoom individually for each chart. | Keywords: roi, returns, performance, ytd, cumulative, benchmark, index |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| Date | Query based off of a specific value for date | false | string |
2019-03-17 |
| Event | Query based off of a specific value for event | false | string |
(SNM) SONM Exchange update |
| Description | Query based off of a specific value for description | false | string |
Delisting from Liqui |
| Event Category | Query based off of a specific value for eventCategory | false | string |
regulatory |
| Event Type | Query based off of a specific value for eventType | false | string |
Digital Assets/Initial Coin Offerings |
| Country | Query based off of a specific value for country | false | string |
usa |
| Symbol | Query based off of a specific value for symbol or symbols using csv (BTC) | false | string |
ETH |
| URL | Query based off of a specific value for url | false | string |
|
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| Analysis and Outlook of Applications of Blockchain Technology to Equity Crowdfunding in China | Shanghai University | research | Keywords: asia, ico, capital formation, sto, securities, regulation | |
| Application of FinCENs Regulations to Persons Administering Exchanging Using Virtual Currencies | FINCEN | regulatory | Keywords: regulation, policy, law, exchange | |
| Blockchain Adoption in Capital Markets - 2018 | Greenwich Associates | research | Keywords: adoption, institutional investors, | |
| Blockchain by Cisco Build Trust Based Business Networks | Cisco | research | Keywords: corporate, enterprise, dlt, adoption | |
| Breaking Blockchain Open | Deloitte | research | Keywords: survey, enterprise, private, adoption | |
| CFTC RFI Cryptoasset Mechanics and Markets | Consensys | regulatory | Keywords: regulation | |
| CFTC RFI Cryptoasset Mechanics and Markets | Circle Research | regulatory | Keywords: regulation | |
| CFTC RFI Token Compensation Agreements | Perkins & Coie | regulatory | Keywords: regulation | |
| Cryptocurrencies Looking Beyond Hype | Bank Of International Settlements | research | Keywords: crypto, blockchain, ledger, cbdc, regulation, volatility, mining, ico | |
| Cryptocurrencies Venture Into The Unknown | Cambridge Associates | research | Keywords: adoption, institutional investors | |
| Customer Advisory Use Caution Buying Digital Coins Tokens | CFTC | regulatory | Keywords: regulation, ico, fraud, risk | |
| Decision Of The Singapore International Commercial Court B2C2 Ltd V Quoine Pte Ltd | Singapore International Criminal Court | regulatory | Keywords: legal, precedent, court, judge, arbitration, qash | |
| Distributed Ledger Technology Beyond Blockchain | UK Office for Science | research | Keywords: disrupt, policy, innovation, labor force, adoption, socioeconomics | |
| Emerging Markets Bitcoin Volumes | Paradigm | Global Adoption | Tracking Bitcoin activity and usage in volatile emerging markets While growth trends of Bitcoin usage in emerging markets are more difficult to discern than the headlines would indicate, the clearest activity patterns emerge as spikes in reaction to local regulatory announcements. The explosion of volume in China immediately prior to and following the Chinese government's announcement banning all ICO related activity in early September of 2017 is perhaps the most notable. | Keywords: local, venezuela, iran, brazil, south africa, brl, fiat, embargo, sanction, adoption, inflation, vef, monetary policy, china | |
| Guidance on Cryptoassets | UK FCA | regulatory | This paper looks at where cryptoassets would be considered ‘Specified Investments’ under the Regulated Activities Order (RAO),3 ‘Financial Instruments’ such as ‘Transferable Securities’ under the Markets in Financial Instruments Directive II (MiFID II),4 or captured under the Payment Services Regulations (PSRs), 5 or the E-Money Regulations (EMRs).6 It also covers where cryptoassets would not be considered ‘Specified Investments’ under the RAO. | Keywords: mifid, rao, securities, regulation, classification, oversight, taxonomy | |
| Guidelines Regarding Regulatory Framework ICO | FINMA | regulatory | Keywords: initial, regulation, legal, switzerland, aml, launder | |
| Initial Coin Offerings | Ernst Young | regulatory | Keywords: blockchain, ico, smart, contract, token, valuation, security, regulation | |
| LabCFTC Primer Smart Contracts | CFTC | regulatory | Keywords: regulation, compliance, smart, contract, risk, case, governance | |
| LabCFTC Primer Virtual Currencies | CFTC | regulatory | Keywords: regulation, ico, fraud, risk | |
| Legal Aspects Smart Contracts Applications | Perkins & Coie | research | Keywords: regulation | |
| Legal Guidelines Smart Derivatives Contracts Introduction | ISDA | research | Keywords: regulation | |
| Proposed Framework for Crypto Asset Trading Platforms | Joint Canadian Securities Administrators | regulatory | Keywords: policy, regulation, clearing, oversight, law, integration | |
| Proposed Framework for Crypto-Asset Trading Platforms | Joint Canadian Securities Administrators | regulatory | The purpose of this joint CSA/IIROC Consultation Paper (the Consultation Paper) is to seek feedback from the financial technology (fintech) community, market participants, investors and other stakeholders on how requirements may be tailored for Platforms operating in Canada whose operations engage securities law. We intend to use this feedback to establish a framework that provides regulatory clarity to Platforms, addresses risks to investors and creates greater market integrity. | Keywords: canada, investment industry, regulatory, framework, consultation, trading, advisory, exchanges | |
| Regulating Cryptocurrencies Assessing Market Reactions | Bank Of International Settlements | research | Keywords: regulation, aml, kyc, bitcoin, interoperability | |
| Regulatory Sandbox Lessons Learned Report | UK FCA | regulatory | Keywords: regulatory, regulation | |
| Regulatory Treatment ICO | FINMA | regulatory | Keywords: initial, regulation, legal, switzerland | |
| Scalability Interoperability and Sustainability of Blockchains | European Union Blockchain Forum | research | we take a look at the current and likely future state of blockchain in Europe through the lens of large-scale blockchain platforms. Along the way we ask ourselves what factors, technical and organisational, are likely to shape how platforms develop, and make some observations and recommendations for entrepreneurs and policy makers about best practice. | Keywords: adoption, integration, enterprise, scale, permissioned, ramp | |
| Scenario Timelines - Large Cap vs. Mid Cap | Paradigm | Scenario | Comparing performance of benchmarks through various impact event scenarios Scenario analysis can be a valuable risk management tool, especially when robust data provides more accurate and statistically significant insights. While shorter on an absolute basis, the crypto timeline accelerates at a velocity with no precedent. Our crypto events database provides a rich scenario backdrop against which to build and calibrate our risk models. | Keywords: benchmark, scenario, events, stress | |
| Six Control Principles Financial Services Blockchains | Deloitte | research | Keywords: governance, regulation, smart, contract, interoperability, audit, cybersecurity | |
| Smart Contracts and Distributed Ledger Legal Perspective | ISDA | research | Keywords: regulation | |
| Smart Derivatives Contracts From Concept to Construction | ISDA | research | Keywords: regulation | |
| State Digital Currency Principles Framework | Coincenter | research | Keywords: crypto, regulation, bill, policy, transmit, legislation, aml, launder | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| Treatment of Bitcoin Under US Property Law | Perkins & Coie | research | Keywords: regulation | |
| Twelve Crypto Moments to Review 2018 | Skew Research | research | Keywords: timeline, events, recap, 2018 |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| avgSize | Query based off of a specific value for avgSize | false | number |
|
| blockCount | Query based off of a specific value for blockCount | false | number |
|
| coinsGenerated | Query based off of a specific value for coinsGenerated | false | number |
|
| coinsGeneratedUSD | Query based off of a specific value for coinsGeneratedUSD | false | number |
|
| dailyGenerationMWatt | Query based off of a specific value for dailyGenerationMWatt | false | number |
|
| dailyNetInterchange | Query based off of a specific value for dailyNetInterchange | false | number |
|
| difficultyMax | Query based off of a specific value for difficultyMax | false | number |
|
| difficultyMedian | Query based off of a specific value for difficultyMedian | false | number |
|
| difficultyMin | Query based off of a specific value for difficultyMin | false | number |
|
| height | Query based off of a specific value for height | false | number |
|
| isProofOfStake | Query based off of a specific value for isProofOfStake | false | boolean |
true |
| outstanding | Query based off of a specific value for outstanding | false | number |
|
| proofType | Query based off of a specific value for proofType | false | string |
Scrypt |
| required_units_for_masternode | Query based off of a specific value for required_units_for_masternode | false | number |
|
| sizeMax | Query based off of a specific value for sizeMax | false | number |
|
| sizeMedian | Query based off of a specific value for sizeMedian | false | number |
|
| sizeMin | Query based off of a specific value for sizeMin | false | number |
|
| stake_minimum | Query based off of a specific value for stake_minimum | false | number |
|
| stake_minimum_usd | Query based off of a specific value for stake_minimum_usd | false | number |
|
| supply | Query based off of a specific value for supply | false | number |
|
| top1000HoldersDistribution | Query based off of a specific value for top1000HoldersDistribution | false | number |
:50 |
| top1000HoldersSupplyDistribution | Query based off of a specific value for top1000HoldersSupplyDistribution | false | number |
:50 |
| top100HoldersDistribution | Query based off of a specific value for top100HoldersDistribution | false | number |
:50 |
| top100HoldersSupplyDistribution | Query based off of a specific value for top100HoldersSupplyDistribution | false | number |
:50 |
| top10HoldersDistribution | Query based off of a specific value for top10HoldersDistribution | false | number |
:50 |
| top10HoldersSupplyDistribution | Query based off of a specific value for top10HoldersSupplyDistribution | false | number |
:50 |
| totalDemandForecastMWatt | Query based off of a specific value for totalDemandForecastMWatt | false | number |
|
| totalDemandMWatt | Query based off of a specific value for totalDemandMWatt | false | number |
5000000: |
| totalFeesUSD | Query based off of a specific value for totalFeesUSD | false | number |
|
| totalInputUSD | Query based off of a specific value for totalInputUSD | false | number |
|
| totalOutputUSD | Query based off of a specific value for totalOutputUSD | false | number |
|
| txCount | Query based off of a specific value for txCount | false | number |
1000: |
| txFeeMax | Query based off of a specific value for txFeeMax | false | number |
|
| txFeeMin | Query based off of a specific value for txFeeMin | false | number |
|
| txMax | Query based off of a specific value for txMax | false | number |
1000: |
| txMedian | Query based off of a specific value for txMedian | false | number |
1000: |
| txMin | Query based off of a specific value for txMin | false | number |
1000: |
| volumeUSD | Query based off of a specific value for volumeUSD | false | number |
|
| yearly_reward_percent | Query based off of a specific value for yearly_reward_percent | false | number |
10: |
| symbol | Query based off of a specific value for symbol | false | string |
DGB |
| name | Query based off of a specific value for name | false | string |
DigiByte |
| datetimeUTC | Query based off of a specific value for datetimeUTC | false | string |
|
| priceUSD | Query based off of a specific value for priceUSD | false | number |
|
| marketCapUSD | Query based off of a specific value for marketCapUSD | false | number |
10000000: |
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 Annual Letter | MultiCoin Capital | research | Keywords: performance, selling, retail, investor, attacks, mining, volatility, infrastructure, defi, scaling, layer | |
| 2018 Crypto Retrospective Summary | Circle Research | research | Keywords: bear, winter, ico, token, sale, fees, lightning, dapps, funds, mergers, venture, equity, sto, security, stablecoin | |
| A Cost Of Production Model For Bitcoin | Adam Hayes | research | Keywords: mining, profitability, PoW, value formation, electricity, kWh, breakevens | |
| Barracuda Theoretical Analysis Power Polling Proof Stake Blockchains | DTR Research | academic | Keywords: stochastic, network, protocol, throughput | |
| Beyond Doomsday Economics of PoW Cryptocurrencies | Bank Of International Settlements | research | Keywords: crypto, blockchain, mining, electricity, pow, pos, proof, ledger, bitcoin, history, digitalisation | |
| Bitcoin Delta Cap | Paradigm | Network Value | Assessing network value with DeltaCap DeltaCap is calculated through the following formula, measuring the difference between two long-term Bitcoin moving averages: DeltaCap = (RealizedCap - AverageCap). | Keywords: utxo, realized cap, market cap, holders, trend, outputs, unspent | |
| Bitcoin Holder Analysis Through Cycles | Delphi Digital | research | Keywords: hodl, wave, utxo, unspent, transaction, output, selling, forecast, btc | |
| Bitcoin Mining Network | Cryptoscores | research | Keywords: marginal, cost, electricity, consumption, hashrate, hardware, asic, proof | |
| Bitcoin Post Issuance Existential Threat | The Block Crypto | research | Keywords: btc, security, budget, block, reward, transaction, fees, frm, ratio, multiple, lightning, utxo, miner | |
| Bitcoin Solution for Payment Systems or Solution in Search of Problem | Bank of Spain | research | Keywords: blockchain, hash, function, cryptoasset, innovation, technology | |
| Blockchain Adoption in Capital Markets - 2018 | Greenwich Associates | research | Keywords: adoption, institutional investors, | |
| Blockchain by Cisco Build Trust Based Business Networks | Cisco | research | Keywords: corporate, enterprise, dlt, adoption | |
| BlockSci Design Applications Blockchain Analysis Platform | BlockSci Research | academic | Keywords: explorer, data, address, transaction, multisig, signature | |
| Breaking Blockchain Open | Deloitte | research | Keywords: survey, enterprise, private, adoption | |
| BTC Fees vs Rewards | Paradigm | Network Activity | Historical trends between daily block rewards and transaction fees As traditional deflationary PoW chains reduce their block rewards over time, can the fees alone support the network economics and security? | Keywords: rewards, fees, coinbase, block reward, profitability | |
| BTC Transactions vs Hashrate | Paradigm | Network Activity | Historical trends between daily transactions and hashrate. Network activity as measured by total daily transaction count was often cited as a strongly correlated indicator relative to hashrate until large breaks in the historical relationship were seen in early 2018. | Keywords: transactions, hashrate | |
| Crypto Exchange Tokens | Paradigm | Exchange Tokens | Relative market cap of native exchange tokens Crypto exchange tokens used to pay platform and trading fees have witnessed varying success with Binance (BNB) clearly standing out from the rest. Despite known issues concerning conflict of interest, security and market manipulation the paper trail of revenues and associated cashflows make exchange platforms a more 'familiar' economic model for most traditional investors. | Keywords: exchange, fees, rewards, trading, binance | |
| Crypto Utopia | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Crypto War Games Decentralized Hostile Takeovers | Coinigy | research | Keywords: merger, acquisition, mining, network, buyout | |
| Cryptocurrencies Looking Beyond Hype | Bank Of International Settlements | research | Keywords: crypto, blockchain, ledger, cbdc, regulation, volatility, mining, ico | |
| Cryptocurrencies Venture Into The Unknown | Cambridge Associates | research | Keywords: adoption, institutional investors | |
| Dandelion Lightweight Cryptocurrency Networking Formal Anonymity Guarantees | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, security, protocol, crypto | |
| Dandelion Redesigning Bitcoin Network for Anonymity | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, diffusion | |
| Decentralized Payment Systems Principles Designs | DTR Research | academic | Keywords: blockchain, consensus, scalability, throughput, mining, sharding, latency, privacy | |
| Discovering Bitcoins Network Topology Using Orphan Transactions | DTR Research | academic | Keywords: fairness, robustness, network, attack, eclipse | |
| Distributed Ledger Technology Beyond Blockchain | UK Office for Science | research | Keywords: disrupt, policy, innovation, labor force, adoption, socioeconomics | |
| Emerging Markets Bitcoin Volumes | Paradigm | Global Adoption | Tracking Bitcoin activity and usage in volatile emerging markets While growth trends of Bitcoin usage in emerging markets are more difficult to discern than the headlines would indicate, the clearest activity patterns emerge as spikes in reaction to local regulatory announcements. The explosion of volume in China immediately prior to and following the Chinese government's announcement banning all ICO related activity in early September of 2017 is perhaps the most notable. | Keywords: local, venezuela, iran, brazil, south africa, brl, fiat, embargo, sanction, adoption, inflation, vef, monetary policy, china | |
| ETH Transaction Complexity | Paradigm | Transaction Fees | Measuring ETH gas fees relative to network transactions & complexity This basic metric is calculated by dividing the average daily gas spend by the quantity of transactions. The logic being that a basic transaction on Ethereum has a 21,000 gas limit while more complex smart contracts (ie ICOs, crypto[insert animal], token transfers, airdrops, spam drops, staking payouts etc) require a higher limit. (*Note: this metric uses the assumed gas cost calculation of: IF ETH = $1000, THEN 21000 gas will cost 0.00000002 * 1000 * 21000 = 0.42 dollars, which is $0.42 cents USD). | Keywords: eth, gas, smart contract, fee, transaction, gwei | |
| Fee Ratio Multiple Ratios (FRM) | Paradigm | Transaction Fees | Measuring the distance for PoW chains to sustain security levels solely through transaction fees Why is FR important? The vast majority of crypto assets employ disinflationary monetary policies, whereby the rate of issuance declines geometrically. Read more here: https://medium.com/coinmonks/introducing-fee-ratio-multiple-frm-1eada9ac9bec | Keywords: pow, proof, mining, security, hash, fee | |
| Framework Securities Regulation Cryptocurrencies | Coincenter | research | Keywords: asset, token, howey, fork, airdrop, ico, pre, burn, mine, distribution, decentralization, profit | |
| Game Theory How to Destroy Bitcoin | Bletchley | academic | Keywords: network, attack, blockchain, selfish, stubborn, mining, 51, percent, academic | |
| Incentive Compatibility on the Blockchain | Bank of Canada | research | Keywords: mining, miner, pow, bitcoin, double, spend, block, reward | |
| Introducing Fee Ratio Multiple | CryptoChat | research | Keywords: btc, security, budget, block, reward, transaction, fees, frm, ratio, multiple, lightning, utxo, miner | |
| Key World Energy Statistics | International Energy Agency | research | Keywords: electricity, energy, mining, hashpower, hashrate | |
| NVT Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, network, transaction, excel | |
| PolyShard Coded Sharding Achieves Linearly Scaling Efficiency Security | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, bitcoin, blockchain, throughput, lightning | |
| Routing Cryptocurrency with Spider Network | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, bitcoin, blockchain, throughput, lightning | |
| Scalability Interoperability and Sustainability of Blockchains | European Union Blockchain Forum | research | we take a look at the current and likely future state of blockchain in Europe through the lens of large-scale blockchain platforms. Along the way we ask ourselves what factors, technical and organisational, are likely to shape how platforms develop, and make some observations and recommendations for entrepreneurs and policy makers about best practice. | Keywords: adoption, integration, enterprise, scale, permissioned, ramp | |
| Sprites and State Channels Payment Networks Faster than Lightning | DTR Research | academic | Keywords: scale, scaling, layer, transaction, speed, eth, bitcoin, blockchain | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| Token Mania | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| datetimeUTC | Query based off of a specific value for datetimeUTC | false | string |
|
| symbol | Query based off of a specific value for symbol or symbols using csv (BTC) | false | string |
BTC |
| name | Query based off of a specific value for coinName | false | string |
Ethereum |
| open | Query based off of a specific value for open | false | number |
|
| high | Query based off of a specific value for high | false | number |
|
| low | Query based off of a specific value for low | false | number |
|
| close | Query based off of a specific value for close | false | number |
|
| volumeBase | Query based off of a specific value for volumeBase | false | number |
|
| volumeUSD | Query based off of a specific value for volumeUSD | false | number |
|
| time | Query based off of a specific value for time | false | number |
|
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 SIFMA Fact Book | SIFMA | regulatory | Keywords: securities, trading volume, bonds, equities, fixed income, municipals, corporate, abs, mbs, agency, treasury | |
| Application of FinCENs Regulations to Persons Administering Exchanging Using Virtual Currencies | FINCEN | regulatory | Keywords: regulation, policy, law, exchange | |
| Binance Coin Analysis and Valuation | MultiCoin Capital | research | Keywords: bnb, dex, burn, profit, yield, exchange, utility, token, discount | |
| Bitcoin Futures Market Evolution | Coinjanitor | research | Keywords: regression, correlation, volume, institution, cme, cboe, otc, contract | |
| Bitcoin Futures Volumes | Paradigm | Derivatives | Tracking activity, volumes and positioning in regulated crypto futures markets The introduction of regulated futures markets for Bitcoin was a widely anticipated and overhyped event. Difficult to argue there was no impact on the price from the introduction of a derivative instrument designed to provide traders with the ability to short and bet against the price of Bitcoin. As markets mature, the ability to hedge using futures will likely see the overall market continue to grow. | Keywords: cme, derivatives, futures, contract, swap, options, hedge, institutional, cftc, cboe, trading, volume | |
| Bitwise Asset Management Analysis of Real Bitcoin Trade Volume | Bitwise | research | Keywords: wash trading, exchanges, flows, order books, trading volume | |
| BTC Market Depth Spreads - Bitfinex | Paradigm | Liquidity | Average bid/offer spreads by order size as a liquidity proxy Liquidity is often measured as a function of what impact a given size trade has on an existing market price. As volatility increases, market makers (ie exchanges) become increasingly less willing to make markets on either side given the potential for higher downside risk. This is especially true as evidenced from the difference in market spreads for a 0 BTC, 10 BTC or 100 BTC size trade (small lot, round lot, block). | Keywords: liquidity, orderbook, trading, volume, oddlot | |
| BTC vs. Tether Trading Volume | Paradigm | Trading Volume | Tracking the relationship of Tether (USDT) vs. Bitcoin (BTC) volumes The relationship between Bitcoin & Tether is clearly evident from a variety of angles. These patterns have helped drive the 'FUD' narrative concerning the potential demise of Tether as a genuinely viable stablecoin. As the broader market continues to grow and mature, the question remains: if Tether disappeared tomorrow would it make a material impact? | Keywords: btc, usdt, correlation, stablecoin, tether, volume | |
| CCCAGG Data Index Methodology | Cryptocompare | research | Keywords: exchange, trading volume, benchmark | |
| CCCAGG Exchange Review | Cryptocompare | research | Keywords: aggregate, pricing, volume, futures, spot | |
| CFIX Cryptocurrency Methodology | Bloomberg | research | Keywords: reference, exchange, rate, pricing, bloomberg | |
| Circle Asset Framework | Circle Research | research | Keywords: exchange, listing | |
| Crypto Exchange Tokens | Paradigm | Exchange Tokens | Relative market cap of native exchange tokens Crypto exchange tokens used to pay platform and trading fees have witnessed varying success with Binance (BNB) clearly standing out from the rest. Despite known issues concerning conflict of interest, security and market manipulation the paper trail of revenues and associated cashflows make exchange platforms a more 'familiar' economic model for most traditional investors. | Keywords: exchange, fees, rewards, trading, binance | |
| Cryptocompare Exchange Review | Cryptocompare | research | Keywords: exchange, listing, trading, liquidity | |
| Exchange Liquidity Whitepaper | Conventure Research | research | Keywords: wash trading, exchanges, flows, order books, trading volume | |
| Exchange Review | Cryptocompare | research | Keywords: aggregate, pricing, volume, futures, spot | |
| Exchange Review February 2019 | Cryptocompare | research | Keywords: trading, volume, flows, order book, liquidity, wash trading | |
| GDAX Digital Asset Framework | GDAX | research | Keywords: exchange, taxonomy, qualifications | |
| Global Trading Volumes vs Market Cap | Paradigm | Trading Volume | Aggregate USD volume vs global mkt cap Crypto trading volume data is notoriously inaccurate, fake, misleading and unreliable yet it remains an important metric for market participants. Do you trust crypto market trading volumes? | Keywords: global, trading volume, fake, exchange | |
| How Does Crypto OTC Actually Work | Circle Research | research | Keywords: trading, institutional, volume | |
| Information Content Of Pre Open Social Media For Market Returns | Pluribus Labs Research | research | Keywords: sentiment, social media, algo trading, performance, indicators, twitter | |
| Is Bitcoin Really Untethered | University of Texas | research | Keywords: ustd, stablecoin, peg, trading volume, wash trading, correlation, fiat | |
| Proposed Framework for Crypto Asset Trading Platforms | Joint Canadian Securities Administrators | regulatory | Keywords: policy, regulation, clearing, oversight, law, integration | |
| Proposed Framework for Crypto-Asset Trading Platforms | Joint Canadian Securities Administrators | regulatory | The purpose of this joint CSA/IIROC Consultation Paper (the Consultation Paper) is to seek feedback from the financial technology (fintech) community, market participants, investors and other stakeholders on how requirements may be tailored for Platforms operating in Canada whose operations engage securities law. We intend to use this feedback to establish a framework that provides regulatory clarity to Platforms, addresses risks to investors and creates greater market integrity. | Keywords: canada, investment industry, regulatory, framework, consultation, trading, advisory, exchanges | |
| Pump And Dump | Wall Street Journal | research | Keywords: wash, ico, scam, trading volume, scheme | |
| Q3 Quarterly Report | Coingecko | research | Keywords: crypto, bitcoin, blockchain, social, sentiment, exchange, volume, ico, node, nft, event, contract | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| UniSwap Activity | Covalent | Defi | Tracking reserve balances vs. trading volume Growth of 'decentralized' liquidity protocols have seen increased volumes following substantial venture capital investment in 2018. | Keywords: defi, dex, uniswap, reserves, trading volume, liquidity, dapp | |
| Whats Next Blockchain | CB Insights | research | Keywords: stable, security, sto, fungible, nft, dlt, ledger, privacy, ico, smart, contract, exchange |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| Date | Query based off of a specific value for Date | false | string |
2019-01-01 |
| Symbol | Query based off of a specific value for symbol or symbols using csv (BTC) | false | string |
BTC |
| Price | Query based off of a specific value for Price | false | number |
|
| Price ChgAbs | Query based off of a specific value for Price ChgAbs | false | number |
|
| Price ChgPct | Query based off of a specific value for Price ChgPct | false | number |
|
| Generated | Query based off of a specific value for Generated | false | number |
|
| Generated ChgAbs | Query based off of a specific value for Generated ChgAbs | false | number |
|
| Generated ChgPct | Query based off of a specific value for Generated ChgPct | false | number |
|
| Inflation | Query based off of a specific value for Inflation | false | number |
1: |
| Inflation ChgAbs | Query based off of a specific value for Inflation ChgAbs | false | number |
|
| Inflation ChgPct | Query based off of a specific value for Inflation ChgPct | false | number |
|
| MarketCap | Query based off of a specific value for MarketCap | false | number |
|
| MarketCap ChgAbs | Query based off of a specific value for MarketCap ChgAbs | false | number |
|
| MarketCap ChgPct | Query based off of a specific value for MarketCap ChgPct | false | number |
|
| Supply | Query based off of a specific value for Supply | false | number |
|
| Supply ChgAbs | Query based off of a specific value for Supply ChgAbs | false | number |
|
| Supply ChgPct | Query based off of a specific value for Supply ChgPct | false | number |
|
| Value of Created Coins | Query based off of a specific value for Value of Created Coins | false | number |
|
| Value of Created Coins ChgAbs | Query based off of a specific value for Value of Created Coins ChgAbs | false | number |
|
| Value of Created Coins ChgPct | Query based off of a specific value for Value of Created Coins ChgPct | false | number |
|
How Do I Use This Data?
- Pull data into spreadsheet templates, dashboards and models
- Visualize complex data sets using our widget engine
- Build data into content for websites and apps
- Embed example widgets & charts into your published articles or research.
- To learn more about this data and see additional real-world applications, check out our gallery using the explorer here.
View related content from our libraries including research, visuals, datasets, templates and similar API endpoints.
| title | source | category | description | |
|---|---|---|---|---|
| 2018 Annual Letter | MultiCoin Capital | research | Keywords: performance, selling, retail, investor, attacks, mining, volatility, infrastructure, defi, scaling, layer | |
| A Cost Of Production Model For Bitcoin | Adam Hayes | research | Keywords: mining, profitability, PoW, value formation, electricity, kWh, breakevens | |
| A First Econometric Analysis Of The CRIX Family | CRIX Crypto Index | research | Keywords: valuation, index, benchmark, methodology, cryptoeconomics | |
| A Model of CryptoCurrencies | Princeton | academic | Keywords: model, valuation, ico, bubble | |
| Accomplice VC Crypto Market Map | Accomplice VC | research | Keywords: venture capital, taxonomy | |
| Asset Highlight Ether | Cryptoscores | research | Keywords: valuation, metric, primer, smart, contract, eth, sharding, stake, consensus, return | |
| ATR Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, range, average, excel | |
| Barracuda Theoretical Analysis Power Polling Proof Stake Blockchains | DTR Research | academic | Keywords: stochastic, network, protocol, throughput | |
| Beyond Doomsday Economics of PoW Cryptocurrencies | Bank Of International Settlements | research | Keywords: crypto, blockchain, mining, electricity, pow, pos, proof, ledger, bitcoin, history, digitalisation | |
| Bitcoin Delta Cap | Paradigm | Network Value | Assessing network value with DeltaCap DeltaCap is calculated through the following formula, measuring the difference between two long-term Bitcoin moving averages: DeltaCap = (RealizedCap - AverageCap). | Keywords: utxo, realized cap, market cap, holders, trend, outputs, unspent | |
| Bitcoin Economics Parts 1 2 3 5 | Bitmex | research | Keywords: cryptoeconomics, valuation | |
| Block One EOS Primer | Circle Research | research | Keywords: delegated, stake, blockchain, smart, contract, larimer | |
| Blockchains and the Economic Institutions of Capitalism | RMIT University | research | Keywords: disruption, cryptoeconomics, dlt, governance | |
| BTC MVRV Ratio | Paradigm | Network Value | Exploring network valuation using MVRV MVRV is a simple ratio to measure network value using a novel metric for traditional market cap called Realised Cap. MVRV = Market Cap / Realised Cap. It can be useful for getting a sense of when the exchange traded price is below “fair value” or even as an indicator for potential cycle tops and bottoms. | Keywords: realised cap, market cap, valuation, metric | |
| BTC Pricing Value Models | Paradigm | Network Value | Evaluating novel metrics for Bitcoin valuation Bitcoin continues to defy and break most convential models across pricing, growth, trend, econometrics, epidemiological and more. Perspective and context are always valuable in these exercises especially when they can help frame it all in the same consumable dimension. Hats off to Will Woo's continued inspirational, thoughtful and creative work: (http://charts.woobull.com/). *Note: this chart is better viewed in larger size, click the button in right hand menu to enlarge. | Keywords: realised cap, market cap, valuation, metric, deltacap, nvt, mvrv, signal, willy woo | |
| Cardano ADA Primer | Circle Research | research | Keywords: stake, blockchain, smart, contract, iohk | |
| Consumer Tokens Framework Version1 | Brooklyn Project | research | Keywords: taxonomy, classification | |
| Corporate Governance for Complex Cryptocurrencies | Phillipp Hacker | research | Keywords: governance, icann, complexity theory, framework, vote | |
| Crypto Utopia | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Crypto War Games Decentralized Hostile Takeovers | Coinigy | research | Keywords: merger, acquisition, mining, network, buyout | |
| Cryptocurrencies Looking Beyond Hype | Bank Of International Settlements | research | Keywords: crypto, blockchain, ledger, cbdc, regulation, volatility, mining, ico | |
| CryptoUtopia | Autonomous NEXT | research | Keywords: venture capital, ico, hype, taxonomy | |
| Dandelion Lightweight Cryptocurrency Networking Formal Anonymity Guarantees | DTR Research | academic | Keywords: privacy, blockchain, transaction, model, security, protocol, crypto | |
| Decentralized Payment Systems Principles Designs | DTR Research | academic | Keywords: blockchain, consensus, scalability, throughput, mining, sharding, latency, privacy | |
| Deconstructing Blockchain to Approach Physical Limits | DTR Research | academic | Keywords: base, protocol, consensus, throughput, latency, security, incentive | |
| Discovering Bitcoins Network Topology Using Orphan Transactions | DTR Research | academic | Keywords: fairness, robustness, network, attack, eclipse | |
| FCAS Report ZEC | Flipside Crypto | research | Keywords: flipside, valuation, rating, repo, github, developer, codebase | |
| Fee Ratio Multiple Ratios (FRM) | Paradigm | Transaction Fees | Measuring the distance for PoW chains to sustain security levels solely through transaction fees Why is FR important? The vast majority of crypto assets employ disinflationary monetary policies, whereby the rate of issuance declines geometrically. Read more here: https://medium.com/coinmonks/introducing-fee-ratio-multiple-frm-1eada9ac9bec | Keywords: pow, proof, mining, security, hash, fee | |
| Framework for Investment Contract Analysis of Digital Assets | SEC | regulatory | https://www.sec.gov/corpfin/framework-investment-contract-analysis-digital-assets | Keywords: sec, regulator, valuation, taxonomy, howey, framework, methodology, ico, securities, law, classification, dapp | |
| Framework Securities Regulation Cryptocurrencies | Coincenter | research | Keywords: asset, token, howey, fork, airdrop, ico, pre, burn, mine, distribution, decentralization, profit | |
| From Hype to Reality A Taxonomy of Blockchain Applications | Karlsruthe Institute of Technology | research | Keywords: framework, classification, category, valuation, model | |
| Game Theory How to Destroy Bitcoin | Bletchley | academic | Keywords: network, attack, blockchain, selfish, stubborn, mining, 51, percent, academic | |
| GDAX Digital Asset Framework | GDAX | research | Keywords: exchange, taxonomy, qualifications | |
| General Taxonomy Cryptographic Assets | Bravenewcoin | research | Keywords: classification, sector, hierarchy, protocol, dlt, basket | |
| General Taxonomy Use Case Series | Bravenewcoin | research | Keywords: classification, sector, hierarchy, protocol, dlt, basket | |
| Guidance on Cryptoassets | UK FCA | regulatory | This paper looks at where cryptoassets would be considered ‘Specified Investments’ under the Regulated Activities Order (RAO),3 ‘Financial Instruments’ such as ‘Transferable Securities’ under the Markets in Financial Instruments Directive II (MiFID II),4 or captured under the Payment Services Regulations (PSRs), 5 or the E-Money Regulations (EMRs).6 It also covers where cryptoassets would not be considered ‘Specified Investments’ under the RAO. | Keywords: mifid, rao, securities, regulation, classification, oversight, taxonomy | |
| Historical PoW Inflation Trends | Paradigm | Inflation | Comparing historical relative inflation trends for large cap assets Unlike conventional inflation measures including CPI, there is no central bank authority dictating, controlling or manipulating the target rate. Instead it is often set from genesis, defined in the governance protocol or established inside a dynamic decision making framework. Venezuela is a tragic reminder to carefully consider the difference between bankers & politicians vs. mathematical code. | Keywords: emission, supply, inflation, deflation, disinflation | |
| Incentive Compatibility on the Blockchain | Bank of Canada | research | Keywords: mining, miner, pow, bitcoin, double, spend, block, reward | |
| Initial Coin Offerings | Ernst Young | regulatory | Keywords: blockchain, ico, smart, contract, token, valuation, security, regulation | |
| Investing With Cryptocurrencies A Liquidity Constrained Approach | CRIX Crypto Index | research | Keywords: valuation, depth, order books, spread, slippage | |
| Key World Energy Statistics | International Energy Agency | research | Keywords: electricity, energy, mining, hashpower, hashrate | |
| LabCFTC Primer Smart Contracts | CFTC | regulatory | Keywords: regulation, compliance, smart, contract, risk, case, governance | |
| Leveraging the Cryptoeconomic Machine | Aenigma Capital Research | research | Keywords: valuation, token, utility, intrinsic, fundamental, velocity | |
| MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, average, convergence, divergence, excel | |
| MakerDAO DAI Deep Dive | 51percent research | research | Keywords: maker, dai, mkr, stablecoin, cdp, valuation, governance, defi | |
| NVT Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, network, transaction, excel | |
| PoW Inflation Rates | Paradigm | Inflation | Comparing relative inflation rates for large cap assets Inflation or 'emission' rates are an important dynamic in crypto asset valuation and can vary significantly across different consensus protocols and networks. | Keywords: emission, supply, inflation, deflation, disinflation | |
| Power of prediction Experiment in Vote Buying | The Block Crypto | research | Keywords: governance, chain, mechanism, design, augur, ark | |
| Price Predictions | Cryptosheets | model | Keywords: metrics, indicators, forecast, excel | |
| Proof of Stake - Staking Yields | Paradigm | Stake Rewards | Account concentration vs. annual staking yield Crypto assets with proof of stake consensus models and others that offer staking and reward functions are increasingly popular with traditional cross over investors. Similarities with equities including payouts (dividends) and delegated voting (shareholder proxy votes) are also well known and well regulated globally making them a familiar construct with existing precedent. Also similar can be the large concentrated holders who often wield an asymmetric imbalance of power over governance and reward distribution. | Keywords: stake, pos, dividend, reward, yield | |
| QTUM Primer | Circle Research | research | Keywords: stake, blockchain, smart, contract, quantum | |
| Regulate or Not Overview Cryptographic Assets With Simultaneous Economic Properties | Bravenewcoin | research | Keywords: bitcoin, blockchain, dlt, taxonomy, classification, investment, managers, use, case, protocol, tokens, basket, index, commodities, store, value | |
| Republic Protocol | Aenigma Capital Research | research | Keywords: valuation, republic, protocol, ren | |
| Risks And Returns Of Cryptocurrency Risk Reward Factor Attribution | National Bureau of Economic Research | research | Keywords: valuation, analysis, modeling, portfolio management, performance | |
| RSI ATR MACD Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, average, convergence, divergence, excel | |
| RSI Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, strength, technical, excel | |
| Six Control Principles Financial Services Blockchains | Deloitte | research | Keywords: governance, regulation, smart, contract, interoperability, audit, cybersecurity | |
| Sortino Ratio Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, risk, adjusted, volatility, excel | |
| State of Blockchains Q2 2017 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| State of Blockchains Q3 2018 | Coindesk | research | Keywords: network, exchange, regulation, sentiment, developer, social, enterprise, investment | |
| Taxonomy for Cryptographic Assets | Bravenewcoin | research | Keywords: classification, sector, hierarchy, protocol, dlt, basket | |
| Taxonomy Of Blockchain Tech Principles Of Identification And Classification | Center for Blockchain Technologies | research | Keywords: immutable, identification, taxonomy, framework, org structure, governance | |
| The Brooklyn Project | Brooklyn Project | research | Keywords: taxonomy, classification | |
| The Brooklyn Project Framework Version 1 | Brooklyn Project | research | Keywords: taxonomy, classification | |
| Token Mania | Autonomous NEXT | research | Keywords: crypto, ico, token, regulatory, venture, fork, hack, fund, taxonomy | |
| Volatility Spreadsheet | Cryptosheets | model | Keywords: metrics, indicators, vol, deviation, historical, excel |
| Parameter | Description | Required | Type | Example |
|---|---|---|---|---|
| DatetimeUTC | Query based off of a specific value for DatetimeUTC | false | string |
|
| Symbol | Query based off of a specific value for symbol or symbols using csv (BTC) | false | string |
BNB |
| Name | Query based off of a specific value for Name | false | string |
|
| CodeRepoClosedIssues | Query based off of a specific value for CodeRepoClosedIssues | false | number |
|
| CodeRepoClosedPullIssues | Query based off of a specific value for CodeRepoClosedPullIssues | false | number |
|
| CodeRepoForks | Query based off of a specific value for CodeRepoForks | false | number |
|
| Code Repo Open Issues | Query based off of a specific value for Code Repo Open Issues | false | number |
|
| CodeRepoOpenPullIssues | Query based off of a specific value for CodeRepoOpenPullIssues | false | number |
|
| CodeRepoStars | Query based off of a specific value for CodeRepoStars | false | number |
|
| CodeRepoSubscribers | Query based off of a specific value for CodeRepoSubscribers | false | number |
|
| FBLikes | Query based off of a specific value for FbLikes | false | number |
|
| FBTalkingAbout | Query based off of a specific value for FbTalkingAbout | false | number |
|
| RedditActiveUsers | Query based off of a specific value for RedditActiveUsers | false | number |
|
| RedditCommentsPerDay | Query based off of a specific value for RedditCommentsPerDay | false | number |
|
| RedditCommentsPerHour | Query based off of a specific value for RedditCommentsPerHour | false | number |
|
| RedditPostsPerDay | Query based off of a specific value for RedditPostsPerDay | false | number |
|
| RedditPostsPerHour | Query based off of a specific value for RedditPostsPerHour | false | number |
|
| RedditSubscribers | Query based off of a specific value for RedditSubscribers | false | number |
|
| TwitterFavourites | Query based off of a specific value for TwitterFavourites | false | number |
|
| TwitterFollowers | Query based off of a specific value for TwitterFollowers | false | number |
|
| TwitterFollowing | Query based off of a specific value for TwitterFollowing | false | number |
|
| TwitterLists | Query based off of a specific value for TwitterLists | false | number |
|
| TwitterStatuses | Query based off of a specific value for TwitterStatuses | false | number |
|
How Do I Use This Data?
-
CHECK API STATUS
-
HELP & TUTORIALS
-
PRICING & ACCESS
Have Questions? Contact us here.See statistics on the current and recent status of this API endpoint here.
Learn more about how to use this endpoint from tutorials, FAQs and examples.
See pricing details for this endpoint including rate limits, account subscriptions, custom bulk data access and more here.
OHLCV Historical
A method to query data for historical daily OHLCV pricing for thousands of assets.
string2019-03-17stringBTCstringEthereumnumbernumbernumbernumbernumbernumbernumberHow Do I Use This Data?
-
CHECK API STATUS
-
HELP & TUTORIALS
-
PRICING & ACCESS
Have Questions? Contact us here.See statistics on the current and recent status of this API endpoint here.
Learn more about how to use this endpoint from tutorials, FAQs and examples.
See pricing details for this endpoint including rate limits, account subscriptions, custom bulk data access and more here.
Network Value
A method to query historical data from our network value metrics database, data returned includes various methods for calculating market cap including traditional market cap, average cap, realized cap, delta cap and more. Related metrics for NVT, transaction activity and network fees are also included.
string2019-01-01stringBTCnumber4022.71number70825023305.4256number22741190488.8506number53312718586.5977number251428number2047679784.73899numbernumber70.3987580389117number1006055011.17332numbernumberHow Do I Use This Data?
-
CHECK API STATUS
-
HELP & TUTORIALS
-
PRICING & ACCESS
Have Questions? Contact us here.See statistics on the current and recent status of this API endpoint here.
Learn more about how to use this endpoint from tutorials, FAQs and examples.
See pricing details for this endpoint including rate limits, account subscriptions, custom bulk data access and more here.
Paradigm is a multidimensional crypto data API. Our unified platform provides single endpoint access to datasets, curated content and visual analytics all at the same time. We harmonize the data so you don’t have to.
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