Name		Name	Last commit message	Last commit date
parent directory ..
24h-with-spread.ipynb		24h-with-spread.ipynb
README.md		README.md
agent.py		agent.py
envs.py		envs.py
model.py		model.py
pandas_techinal_indicators.py		pandas_techinal_indicators.py
requirements.txt		requirements.txt
run.ipynb		run.ipynb
trade_functions.py		trade_functions.py
trained-model-24h-spread.pkl		trained-model-24h-spread.pkl
trained-model.h5		trained-model.h5
trained-model.pkl		trained-model.pkl
utils.py		utils.py

README.md

Deep Q Learning with FOREX data

This example trains on more pricing data and adds more technical indicators to the trading environment.

Training data is 12 hour bars from 2006-2017 for GBP_USD, USD_CAD and AUD_USD.

Test data is 12 hour bars from 2006-2017 for EUR_USD.

Technical indicators include:

pip3 install -r requirements.txt