CryptoDataDownload

Historical OHLCV, Tick, Derivative data organized by exchange. API resources. Plus+ member data analytics, risk analysis, & Python code base.

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Free historical OHLCV data and optional upgrades to more bespoke and curated data sets. API service available. Affordable. Comprehensive. Options. Greeks. Implied Volatility. On-chain. Funding. Futures.

[CryptoDataDownload @cryptodataDL]

Big day for XRP hitting highs of ~$3.20 after the daily close on 1/15. Nearly $0.50c on the day

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🧨🧨🧨 Crypto data analysis with https://t.co/ASVxajiyEq

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Did you get everything you wanted for Christmas? #CryptoDataDownload continues to deliver free crypto data year round. Updated daily. #bitcoin #ethereum

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How to capture the RFR (risk free rates) using US Treasury par yield curves in Python (this is also available via our API resource on our site!)

#RFR #crypto #datascience #python #CryptoDataDownload

https://t.co/qq6pwwag53

[CryptoDataDownload @cryptodataDL]

Using Pricinpal Component Analysis (PCA) to examine the correlation relationships across cryptocurrency markets

#Bitcoin #cryptocurrency #PCA #datascience #CryptoDataDownload

https://t.co/zgozjCG0cL

[CryptoDataDownload @cryptodataDL]

Academics review some key warning signs and red flags of Initial Coin Offerings (ICOs) ⚠️⚠️⚠️

#ICO #cryptocurrency

https://t.co/vAy3jDIBb1

[CryptoDataDownload @cryptodataDL]

How to combine multiple timeseries across different Pandas dataframes into one dataframe for analysis in Python

#python #CryptoDataDownload #analysis #DataScience

https://t.co/TIAxFgbk46

[CryptoDataDownload @cryptodataDL]

Research paper develops Tail Ratio Forecasting model to predict crypto currency returns using low order returns distribution moments as independent variables in a multi variable OLS regression model. Fully functional Tail Ratio Model created in Python.

https://t.co/tQQyCCeZ0F

[CryptoDataDownload @cryptodataDL]

Have you ever wanted to tap into the SEC API for news flow? This working example shows how to see litigation releases via the SEC API in Python

#Python #SEC #Bitcoin #CryptoDataDownload #pythonprogramming

https://t.co/exSiHwqv6m

[CryptoDataDownload @cryptodataDL]

Academic comparison of available volatility models in the ARCH / GARCH family and their variations. Which model performs best when predicting Bitcoin volatility?

#cryptocurrency #volatility #CryptoDataDownload

https://t.co/ob0fKOaG5g

[CryptoDataDownload @cryptodataDL]

Modeling GJR-GARCH volatility in Python to better capture downside volatility in Bitcoin and other cryptocurrencies. Fully working code example

#python #bitcoin #ether #btc #eth #CryptoDataDownload

https://t.co/xiQ9sgtNkv

[CryptoDataDownload @cryptodataDL]

How to stream real time market data from Binance API using Python websockets (non-US based users)

#Binance #crypto #Bitcoin

https://t.co/6UGdpevUvN

[CryptoDataDownload @cryptodataDL]

Working example in Python for how to retrieve the EUR/USD exchange rate from the Bitstamp trading exchange

#Bitstamp #python #DataScience #coding

https://t.co/tAqUbI2dNq

[CryptoDataDownload @cryptodataDL]

Reputation risks remains a top concern in the cryptocurrency markets.

https://t.co/gXEBJVL5Pp

[CryptoDataDownload @cryptodataDL]

Learn how to use the Akaike Information Criterion (AIC) to compare different statistical models. AIC allows you to estimate the quality of each model for a given set of data and provides a means for model selection

#crypto #CryptoDataDownload #Bitcoin

https://t.co/ygNwdFID3a

[CryptoDataDownload @cryptodataDL]

Learn about GARCH Volatility Modeling, a method used to analyze changing periods of variance/volatility in time series. GARCH takes into account long run average of volatility, previous periods' volatility, and an error term.

https://t.co/xBlsQyBRRM

[CryptoDataDownload @cryptodataDL]

Does your cryptocurrency API provider have the same comprehensive coverage as us and affordable rates? Check out our unique endpoints

#API #Crypto #Bitcoin

https://t.co/qtEEJWuJmE

[CryptoDataDownload @cryptodataDL]

Most crypto exchange APIs record time in Unix timestamps (UTC timezone). Here is how to convert them to any timezone of your choosing in Python

https://t.co/MBQtwUtro6

[CryptoDataDownload @cryptodataDL]

Determining whether or not there is Autocorrelation in Bitcoin timeseries (working example using Python)

#datascience #python #CryptoDataDownload

https://t.co/7bvfBTLzPX

[CryptoDataDownload @cryptodataDL]

Pros and cons of the Value at Risk lookback window when applied to cryptocurrency. (🗣️ by the way, we include our VaR calculations in our API)

https://t.co/QRSw1iasrk