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fintech
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Following the tutorial from FinRL_HP_Tuning_Trade_Performance_with_Optuna_AI4F.ipynb, I wanted to optimize an agent against the forex environment instead of the env_stocktrading provided in the example.
So I added functions like save_asset_memory and save_action_memory and other class variables so that DRLAgent.DRL_prediction() can function properly with this new environment. Full edi
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ACH Version: v1.6.3
The achcli utility does not currently support ach files with IAT batches and ADV entries (and possibly other items). We should add support to print these items out to stdout.
A great repo and paper: https://github.com/golsun/deep-RL-trading
This could be useful for FinRL maybe as helper / environment function. Training first on rather simple idealized synthetic prices before feeding real data might be beneficial to learn the agent the "basics". Also it's great for testing.
- Sine wave
- Trend curves
- Random walk
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The current usage of lightGBM API is deprecated.
