Trying to create Reinforcement Learning powered Bitcoin trading bot

DQN RL Trading bot for bitcoin

A trading bitcoin agent was created with deep reinforcement learning implementations.

A transformer-based deep RL trading bot built with PyTorch.

Reinforcement Learning based trading bot (Open AI Gym, Stable Baselines)

neural-network-based trading bot with cluster-based RL signals and more!

RL Forex Bot with PPO AI-powered trading bot using PPO, dynamic position sizing, AMD GPU acceleration (DirectML/OpenCL), and MetaTrader 5 integration.

Trading Bot using RL PPO algorithm powered by transformer

An imaginative example of a neural-network-based trading bot that merges a fantasy world simulation with cluster-based RL signals

A reinforcement learning-based cryptocurrency trading bot that implements and compares PPO, A2C, and DQN algorithms for BTC/USDT trading strategies.

Create a Portfolio of Stocks using Open AI gym's stable baselines

Reinforcement Learning Trading Bot for Crypto. Using PPO (Proximal policy optimization).

No description available

This project provides an AI-powered gold (XAU/USD) trading bot using Reinforcement Learning (RL). The system analyzes market trends in real-time and makes trading decisions

Reinforcement Learning for trading forex and indices

RL-based crytocurrency trading bot

A trading bot using transformers, bayesian nets, and RL.

forex trading bot using reinforcement learning (A2C algorithm and open AI's gym environment)

Deep Reinforcement Learning Trading Bot for Forex Markets - DQN agent with advanced risk management, frame stacking, and adaptive position sizing

No description available

Applied Computational Intelligence (ACI) Project

RL (PPO) Trading Bot for XAUUSD using Ichimoku Multi-Timeframe strategy. 128 features, 4 TFs. Test: +7.12%, PF 3.76, WR 86.7%

This Python program uses reinforcement learning (RL) to build a trading bot that can make decisions based on live stock market data. The bot fetches real-time market data using Yahoo Finance, analyzes it, and makes decisions (buy, sell, or hold) using a **Deep Q-Network (DQN)** model.

Optimizing grid bot trading strategy with RL.

An AI‑driven stock trading bot, incorporating neural networks with advanced Reinforcement Learning (RL) algorithms such as DQN, PPO and others.

this RL-based bot uses Binance API for downloading historical data. also we implement heiken-ashi and RSI for our bot to have more sense of trading

Creating a RL Stock Trading Bot

No description available

Reinforcement Trading Bot in C++

A trading bot with reinforcement learning techniques.