AlgoML

This repository contains implementations of machine learning algorithms and techniques applied to the domain of financial trading. 🚀 Crypto Trading Bot:

🚀 Crypto Trading Bot

Open-source, AI-powered crypto trading bot built with Python 3.11+
⚠️ For educational purposes only. Use at your own risk.

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⚠️ Disclaimer

• Do not trade with money you can’t afford to lose.
• Always start in dry-run mode before using real funds.
• The authors and contributors take no responsibility for trading results.
• Recommended: Have basic Python and coding knowledge before running this bot.

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🌐 Supported Exchanges

This bot works with multiple exchanges (spot & futures). Some may require extra configurations.

Spot Exchanges:
✅ Binance
✅ Bitmart
✅ BingX
✅ Bybit
✅ Gate.io
✅ HTX
✅ Kraken
✅ OKX / MyOKX (EEA)
✅ Hyperliquid (DEX)
✅ Others (community tested: KuCoin, Bitvavo)

Futures (Experimental):
⚡ Binance
⚡ Gate.io
⚡ Hyperliquid (DEX)
⚡ OKX
⚡ Bybit

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✨ Features

• ✅ Cross-platform (Windows, macOS, Linux)
• ✅ Persistence with SQLite
• ✅ Dry-run mode (safe testing without real money)
• ✅ Backtesting & performance simulation
• ✅ Machine learning optimization for strategies
• ✅ Adaptive AI-based prediction models
• ✅ Whitelist / Blacklist coins
• ✅ Built-in Web UI + Telegram bot control
• ✅ Profit/Loss tracking in fiat
• ✅ Daily & performance reports

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⚡ Quick Start

The fastest setup is with Docker 🐳

git clone https://github.com/YOUR_USERNAME/crypto-trading-bot.git

📂 Project Structure:
crypto-trading-bot/
│── dev.container/              
│── .github/          
│── build helper/         
│── config example/           
│── docker/                 
│── vscode/           
│── README.md   
│── LICENSE         


🛠️ Installation (Manual):
Clone the repo:
git clone https://github.com/kantkrishan0206-crypto/crypto-trading-bot.git
cd crypto-trading-bot

Create a virtual environment:
python -m venv venv
source venv/bin/activate   # On Windows: venv\Scripts\activate

Install dependencies:
pip install -r requirements.txt

Run the bot:
python bot.py

Backtesting

Run simulations to test strategies before using real money:
python bot.py backtest --strategy MyStrategy --timerange 20240101-20240601

🤖 AI Optimization
Built-in machine learning models tune strategy parameters.
Supports reinforcement learning & predictive modeling for coin selection.

Example:
python bot.py optimize --strategy MyStrategy

📱 Control & Monitoring
Web UI: Manage trades, view logs, check portfolio.
Telegram Bot: Start/stop trades, get profit/loss reports in real-time.