This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2C, DDPG, SAC, and TD3 in a realistic trading environment with transaction costs, it aims to optimize trading decisions based on return, volatility, and Sharpe ratio.
☆102Jun 28, 2024Updated 2 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-with-Stock-Trading
Users that are interested in Deep-Reinforcement-Learning-with-Stock-Trading are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Developing, training, and assessing the performance of a Proximal Policy Optimization (PPO) Stock Trading Agent.☆14Aug 20, 2025Updated last year
- RL algorithm for stock trading with multiple reward functions☆14Apr 21, 2024Updated 2 years ago
- Forex Trading Automation with PPO, ACKTR, DDPG, TD3 and Ensemble Strategy☆43Feb 24, 2023Updated 3 years ago
- Algorithmic Trading Using Deep Reinforcement Learning algorithms (PPO and DQN)☆21Feb 13, 2026Updated 8 months ago
- This is the code implementation of the paper "Financial Trading as a Game: A Deep Reinforcement Learning Approach".☆93Mar 15, 2021Updated 5 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Using weighted average formula, profit and loss is calculated in Bank Nifty Data of 5 min☆12Sep 30, 2021Updated 5 years ago
- Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.☆102Mar 15, 2024Updated 2 years ago
- Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.☆32Aug 25, 2021Updated 5 years ago
- Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learni…☆215Nov 24, 2021Updated 4 years ago
- PSAR Trailing Stop is a trailing stop expert advisor for MetaTrader that uses standard Parabolic SAR indicator to get its next stop-loss …☆16Aug 9, 2024Updated 2 years ago
- Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.☆11Nov 11, 2020Updated 5 years ago
- Deep Reinforcement Learning (DRL) stock trading system with LSTM-PPO, integrating technical indicators and FinBERT-based news sentiment a…☆43Sep 27, 2025Updated last year
- MQL5-RPC client library for MetaTrader 5☆11Apr 20, 2015Updated 11 years ago
- Trading Robot based on LSTM-PPO☆30Dec 27, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆52Dec 6, 2021Updated 4 years ago
- Crypto-Options Volatility Surface Calibration and Arbitrage☆17Dec 26, 2022Updated 3 years ago
- Code for paper Stock trading rule discovery with double deep Q-network☆14May 27, 2023Updated 3 years ago
- Deep Q-Learning Applied to Algorithmic Trading☆28Jun 10, 2026Updated 4 months ago
- Live Sentiment Analysis dashboard of NIFTY 500 universe of stocks using plotly and streamlit☆29Jun 30, 2026Updated 4 months ago
- Forex price movement forecast☆37Sep 15, 2021Updated 5 years ago
- Python code of complete backtest of Banknifty Option Straddle☆23Feb 5, 2022Updated 4 years ago
- Fractals Trailing Stop is a customizable trailing stop expert advisor based on Bill Williams' Fractals indicator.☆15Oct 30, 2024Updated 2 years ago
- QUIK Python is the QUIK Lua interface ported to Python☆14Mar 29, 2026Updated 7 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆688Nov 6, 2024Updated 2 years ago
- A mathematical model for Fibonacci Retracement and location entry and exit formulation using ML☆13Aug 2, 2022Updated 4 years ago
- Code for Chinn, M. D., Meunier, B., Stumpner, S. (2023). "Nowcasting World Trade with Machine Learning: a Three-Step Approach", NBER Work…☆13Dec 9, 2025Updated 10 months ago
- A Deep Reinforcement Learning Framework for Stock Market Trading☆190Oct 9, 2021Updated 5 years ago
- Low Latency Trading Simulator with heavy focus on performance.☆21Sep 8, 2025Updated last year
- Combine Karpathys autoresearch idea with evolutionary optimisation☆36Updated this week
- Quantitative analysis with deep learning prediction and reinforcement learning transactions.☆15Aug 5, 2020Updated 6 years ago
- This project implements cnn-lstm to predict the future prices of forex viz eurusd, gbpusd, usdjpy.... These predicted prices are not reco…☆12Apr 24, 2021Updated 5 years ago
- Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the mod…☆11May 8, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 基于 vnpy 的 CPV 价量相关因子 CTA 研究：复现东吴证券价量系列研报，拆分 T+0 / T+1 交易者行为并计算 DOV 市场情绪指标 | CPV price–volume factors on vnpy with a T+0/T+1 trader split☆16Mar 7, 2025Updated last year
- 本项目复现了 2020 年 ACM 国际金融人工智能会议（ICAIF 2020）上发表的论文《Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy》，使用 PPO、A2C、…☆13Mar 13, 2025Updated last year
- ☆19Nov 25, 2022Updated 3 years ago
- ☆10Jan 24, 2025Updated last year
- TradeWhisperer is a sophisticated cryptocurrency trading bot that leverages advanced Reinforcement Learning techniques, specifically the …☆29Dec 8, 2024Updated last year
- MQL5 Expert Advisor for algo traders☆21Feb 13, 2021Updated 5 years ago
- The work aims to explore Value based, Deep Reinforcment Learning (Deep Q-Learning and Double Deep Q-Learning) for the problem of Optimal …☆57Nov 8, 2019Updated 6 years ago