Crypto Trading

Automated Cryptocurrency Trading Bot with Python – Pt. 2 Bollinger Bands Backtesting

Automated Cryptocurrency Trading Bot with Python – Pt. 2 Bollinger Bands Backtesting

Automated Cryptocurrency Trading Bot with Python – Pt. 2 Bollinger Bands Backtesting

Part 2 of the automated cryptocurrency trading series. In this video, we backtest a simple trading strategy using Bollinger Band Indicators.

Full code:
main backtest: https://github.com/ThePrincipalComponent/01_TradingSeries/blob/main/Part2_BollingerBandsBacktest.py
plot_utils functions: https://github.com/ThePrincipalComponent/01_TradingSeries/blob/main/plot_utils.py

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9 Comments

  1. Hi, first of all i gotta say that your videos are helping me learn a lot!
    but i have some questions about how the program handles the balance and how it places the buy and sell orders.
    ¿Does it know how much should it buy in order to trade efficiently at the different pairs? that would be cool to implement.
    Also, defining the amount of currency that it spends on every trade would make it more realistic i believe, as i said im learning and there's a lot of stuff that i don't know but this things came to mind while i was trying to watch.

  2. Great videos mate, one of the best on the subject to be honest. Thanks for sharing your work

  3. Does anyone confuse about "from plot_utils import plot_results"? I got an ImportError : cannot import name 'plot_results' from 'plot_utils' , Thanks! Very great video

  4. Nice video altough it would be amazing if there were some zoom function implemented in the browser, just to see the code better 🙂

  5. over two years from the beginning of the pandemic started to learn python, trading bot, and AI.
    to be honest, this channel is one of the best informative and educational series I found.

    I hope, we will see more videos from him with only 2 parts that answer most of my questions.

    I have a suggestion could you please create combined indicators like RSI, MACD, and (Bollinger band or Stochastic)
    or Risk Management (Passive & Active strategy).

    Again, Thanks

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