rl
Unverified ML strategy on Multi by druce. BotFinder score 18 out of 100.
Deep Reinforcement Learning For Trading
Source: github
BotFinder analysis pending.
rl
Notebooks and code for Alpha Architect post on reinforcement learning. - Tic-Tac-Toe.ipynb - Table-based reinforcement learning to play Tic-Tac-Toe, and analogous if pointless deep learning algo - Cart-Pole.ipynb - Building deep reinforcement learning algos from scratch with Keras for OpenAI environments like Cartpole and LunarLander. - DQN - Policy Gradient (REINFORCE) - REINFORCE with baseline - RunCartPole.ipynb, RunLunarLander.ipynb - only run saved good models, don't train - Raytune.ipynb - Similar but with state of the art RL from UC Berkeley Ray project - TradingwithRL.ipynb - Algos to trade fake market data, inspired by Gordon Ritter paper Machine Learning for Trading. This should run in Google Colab. Typical installation procedure: - Install Anaconda python data science distribution - Make an environment like or if you have Nvidia GPU This should install requirements like working Nvidia drivers - Upgrade TensorFlow to latest version with - Install additional requirements as necessary - requirements.txt has python modules installed at time of testing. - TensorFlow Docker inst
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