Algorithmic Trading Using Deep Reinforcement Learning algorithms (PPO and DQN)
☆16Feb 13, 2026Updated last month
Alternatives and similar repositories for DeepRL-trade
Users that are interested in DeepRL-trade are comparing it to the libraries listed below
Sorting:
- PSAR Trailing Stop is a trailing stop expert advisor for MetaTrader that uses standard Parabolic SAR indicator to get its next stop-loss …☆14Aug 9, 2024Updated last year
- A multi-task deep reinforcement learning model for trading futures contracts using the Interactive Brokers API and TensorFlow☆15Feb 8, 2023Updated 3 years ago
- RL algorithm for stock trading with multiple reward functions☆11Apr 21, 2024Updated last year
- Automated stock trading strategy using deep reinforcement learning and recurrent neural networks☆14Oct 31, 2024Updated last year
- Collection of common indicators used for EA31337 strategies.☆13May 10, 2025Updated 10 months ago
- Expert advisor based on nnfx methodology☆12Feb 3, 2021Updated 5 years ago
- trading by Deep Q-Network☆15Oct 20, 2016Updated 9 years ago
- 逢甲資訊系統自動化程式(含搶課程式、MyFCU)☆11Feb 1, 2024Updated 2 years ago
- Detects abandoned objects in a video, particularly useful for identifying suspicious abandoned luggage in railway stations and bus stands…☆10Apr 24, 2019Updated 6 years ago
- Fractals Trailing Stop is a customizable trailing stop expert advisor based on Bill Williams' Fractals indicator.☆15Oct 30, 2024Updated last year
- This is a complete FOREX trading system that uses martingale strategy with deep Q learning to set the best action as each price change☆13Dec 22, 2022Updated 3 years ago
- Some correction on IR video labels for Anti-UAV Dataset☆12Apr 13, 2021Updated 4 years ago
- A productivity tool offering a wide range of functions to streamline office work and automate repetitive tasks, including batch processin…☆11Mar 10, 2026Updated last week
- Simple YOLOv5 Inference in Pytorch☆14Jun 20, 2020Updated 5 years ago
- This robot is created to automatically trade forex and utilize Exponential Moving Average. It has been tested to give 60% accuracy. It wa…☆16Apr 19, 2020Updated 5 years ago
- Expert advisor that will only make trades after reversal patterns appear near support and resistance levels.☆12Jul 26, 2020Updated 5 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Apr 12, 2019Updated 6 years ago
- A Deep Reinforcement Learning Framework for Stock Market Trading☆186Oct 9, 2021Updated 4 years ago
- A trade bot for cryptocurrencies powered by machine learning☆35Apr 9, 2019Updated 6 years ago
- A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥☆12Mar 13, 2023Updated 3 years ago
- This repository contains all the source code needed to reproduce the experiments or review the results obtained in the research paper "…☆13Dec 9, 2023Updated 2 years ago
- Based on paper Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning☆13Dec 24, 2022Updated 3 years ago
- MT5 Expert Advisor Template to create your own EAs for MetaTrader 5.☆25Jun 20, 2025Updated 8 months ago
- Emergent Trading Strategies with DQN in Stock Market Trading This repository contains the implementation of a Deep Q-Network (DQN), appli…☆13Aug 8, 2023Updated 2 years ago
- 一元机场官网/官方地址☆43Jan 15, 2026Updated 2 months ago
- 强化学习进行量化金融☆42Jul 20, 2022Updated 3 years ago
- Advanced trend detection and labelling for time series with Python☆22Mar 8, 2026Updated last week
- Financial Time tick data Features is a collection stocks, forex, crypto, commodities and indices data of Features & Data for everyone. Fe …☆19Sep 12, 2024Updated last year
- Advanced MT5 indicators and expert advisors experiments☆20Jan 20, 2017Updated 9 years ago
- 本科毕业设计,利用深度强化学习训练A股市场股票自动交易智能体☆27Jul 21, 2022Updated 3 years ago
- stock trading strategy automatic generated from historical price and volume, using DQN☆25Feb 5, 2018Updated 8 years ago
- ☆13Jul 25, 2025Updated 7 months ago
- Implmentation of Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context (AAAI24)☆16Feb 16, 2024Updated 2 years ago
- A trading agent that uses deep reinforcement learning to trade Ethereum.☆22Jun 21, 2024Updated last year
- Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series☆14Aug 12, 2024Updated last year
- An emerging asset class, the recent surge of popularity in crypto markets has made cryptocurrencies an essential part of investment portf…☆12Jan 22, 2023Updated 3 years ago
- ☆11Feb 2, 2021Updated 5 years ago
- Profitable Reinforcement Learning Agent on Crypto Markets☆14Apr 26, 2023Updated 2 years ago
- LSTM neural network predicting price movements of Bitcoin, backtesting and visualisations.☆21Jan 17, 2023Updated 3 years ago