Transformer Based Deep Q Learning Bot to trade stocks. Implemented in PyTorch.
- CryptoCurrency Trading
- Get larger data source than AlphaVantage
- Trading Environment
Bot that trades stocks.
Link, Use to create simulation mode for stocks
Create a transformer model in PyTorch.
Could also be added as extra metadata to predict stock value.
It will make a lot of sense if I also use a language model on the side to scrape the web to do sentiment analysis on twitter/news outlets/Subreddits, and then use that to generate a score/encoding for how the data is performing. This is passed in to the model to get a better prediction for the future.
You need an environment to trade in.
Implement basic Q Learning Algorithm as basic Prototype
Can maybe use AlphaGo Zero as the reinforcement learning model instead of basic Q - Learning to perform better.
TradingEnv
is depositing more BTC than it should (1.04 instead of 1) and then not removing it when the sale is made.
Side Note: This issue only appears when pytest runs all the tests, not when a singular test is run.
Find an API or Scrape historical data for stocks.
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