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Data and code to use in R Studio to study seasonality trends in BTC-USD, specifically month-of-the-year effects, day-of-the-week effects and 1-hour/4-hour heatmaps for bitcoin's average returns, volatility and candle body ratio.

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jsholmes7/BTC-seasonality-analysis

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This repository contains code and files for data analysis in R looking at seasonality trends in BTC-USD, read more here: https://medium.com/interdax/seasonality-in-bitcoin-examining-almost-a-decade-of-price-data-abf47b1421cb?source=friends_link&sk=f8bb18af9f42a53491a65eafcee78108 The data is from CoinMetrics (Bitcoin price/volatility by month, weekday) and CryptoDatum.io / TradingView (Bitmex 1hour and 4hour). The files provided here from CoinMetrics' data are cuts to make the analysis easier and 1-hour/4-hour data for BTC-USD. Use R-Studio-Code file for all of the R code to reproduce the results or create your own charts/heatmaps. The data files are provided separately.

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Data and code to use in R Studio to study seasonality trends in BTC-USD, specifically month-of-the-year effects, day-of-the-week effects and 1-hour/4-hour heatmaps for bitcoin's average returns, volatility and candle body ratio.

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