Crypto Volatility Indicators - Technical Analysis In Python Tutorial смотреть онлайн

Let's demystify some of the techniques behind volatility analysis.
There are a ton of methods to work with - in this video I'll be covering the following techniques to do volatility analysis for cryptocurrencies in Python.

The code from this video can be found on my GitHub below
https://github.com/AdamGetbags/volatilityAnalysis/blob/main/cryptoVolatilityAnalysis.py
https://github.com/AdamGetbags/volatilityAnalysis/blob/main/BTC_TimeSeries.csv

Normalizing candlestick heights
Measuring drawdowns
Rolling range over price
Log return Zscore
Candle height Zscores
Rolling average log returns
Rolling average standard deviation
Rate of change
True Range + Average True Range
Efficiency
Quantiles
Correlation matrix

These can be helpful for building technical scanners, identifying trend and consolidation, and building custom indicators. Let me know what you think!

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Need some ideas for your project portfolio?

Check out how to get stock price data in Python with TD Ameritrade API.
https://youtu.be/ZeA8aE-sfIY

Here's how to quickly get option data in Python
https://youtu.be/Lj8QHPg2Rwg

Here's how to build a web scraping robot that gets crypto price data in Python
https://youtu.be/jUS64V2jDiY

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