Found 21 repositories(showing 21)
ucaiado
Learning to trade under the reinforcement learning framework
DeepNeuralAI
An RL model that uses double deep Q learning to generate an optimal policy of stock market trades
AlexisDrch
Generate trading orders (BUY, SELL, NOTHING) using technical orders' rules based on historical data. Manual Strategy uses my modest intuition to find the optimal policy. QLearnerStrategy uses Machine Learning (QLearning algorithm) to find the optimal policy: four indicators are discretized to generate each state.
talaikis
No description available
Kulovitz
An automated trading bot based on a Qlearning (Array based reward driven) platform built on Python with Pandas and Numpy.
Kiana58
No description available
pruce99
No description available
SudilHasitha
Qlearning based trading bot
Memofeng
No description available
ywang412
No description available
nattaran
No description available
mukherjeesagar
Q-Learning based algorithmic-trading: sub-projects for the student seminar project
yjallan
Summer 2017 - Machine Learning for Trading - Final Project
borjagamboa
No description available
Tsaousis
Q learning for learning the optimal trading strategy by maximizing investment.
simple ANN approximation for Q learning with single asset trading
hillaryhitch
This repo shows how to build an RL agent to trade in shares- Safaricom share price
afarin461
KNTU AI course project: A Q-Learning Agent developed in Python for algorithmic trading on a single asset (AAPL). The agent learns an optimal policy to maximize profit by selecting Short, Hold, or Long actions based on a discretized state space.
NadaMaliki
No description available
Codes for ML for Control Systems Course. Includes projects such as: QLearning and applied ML for various Trading Tasks.
Jaiswal-Amit-Kumar
This tutorial will walk you through building a simple stock trading agent using Deep QLearning DQN) with PyTorch, pandas, and yfinance. Weʼll explain every step, from data collection to agent training and evaluation
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