QLearning_Trading and trade-rl

QLearning_Trading

Established

trade-rl

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 7/25

Maturity 16/25

Community 17/25

Stars: 517

Forks: 181

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: Apache-2.0

Stars: 29

Forks: 10

Downloads: —

Commits (30d): 0

Language: Python

License: Apache-2.0

Stale 6m No Package No Dependents

About QLearning_Trading

ucaiado/QLearning_Trading

Learning to trade under the reinforcement learning framework

This project helps financial traders develop an adaptive strategy for trading a single stock. By inputting historical stock data, it trains an agent through a reward/punishment system to learn and maximize profits. The output is a trading strategy that has learned from experience. This tool is for individual traders or quantitative analysts looking to automate and optimize their trading decisions.

algorithmic-trading quantitative-finance stock-market trading-strategy financial-modeling

About trade-rl

komo135/trade-rl

Learn to use reinforcement learning to maximize the profit gained from a trade.

This project helps quantitative traders and financial analysts develop and test automated trading strategies. It takes historical market data (like stock or forex prices) as input and uses reinforcement learning to produce a trading agent trained to maximize profit. The output is a model that can make buy/sell decisions based on market conditions.

algorithmic-trading financial-modeling quantitative-analysis market-prediction trading-strategy-optimization

Related comparisons

QLearning_Trading and deep-RL-trading QLearning_Trading and deep-RL-trading

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