deep-RL-trading and trade-rl

deep-RL-trading
50
Established
trade-rl
40
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Stars: 360
Forks: 123
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 29
Forks: 10
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About deep-RL-trading

golsun/deep-RL-trading

playing idealized trading games with deep reinforcement learning

This project helps quantitative traders develop and test automated trading strategies. It takes historical market data as input and provides an optimized trading strategy for momentum or arbitrage opportunities as output. Traders and quantitative analysts seeking to apply machine learning to financial markets would use this.

quantitative-trading algorithmic-trading financial-modeling market-arbitrage momentum-strategies

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

deep-RL-trading and deep-trading-agent deep-RL-trading and QLearning_Trading deep-RL-trading and Deep-RL-Stocks deep-RL-trading and Reinforcement-Learning-for-Market-Making deep-RL-trading and QLearning_Trading

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