Integrating Technical Indicators to Automated Bitcoin Trading Bot #5

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In this tutorial, we’ll integrate a few most popular technical indicators into our Bitcoin trading bot to make it learn even better decisions while doing automated trades in the market.

In my previous tutorials, we already created a python custom Environment to trade Bitcoin, we wrote a Reinforcement Learning agent to do so. Also, we tested 3 different architectures (Dense, CNN, LSTM) and compared their performance, training durations, and tested their profitability. Actually, I thought that probably there are no traders or investors who would be doing blind trades without doing some kind of technical or fundamental analysis, more or less everyone uses technical indicators. So I thought ok if we can create a trading bot doing some kind of profitable trades just from Price Action, maybe we can use indicators to improve our bot accuracy and profitability by integrating indicators? Let’s do this!

Text version tutorial:
GitHub code:

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