Hunter is a quant level crypto trading bot executing on-chain trades with live PnL, smart token scanning, microstructure analysis, and adaptive risk control. Uses weighted multi-factor analysis and heuristic algorithms for intelligent decision-making. Updated in real time. If you find this project useful, drop a ⭐️ to support it

Sends telegram message to a Telegram Bot when RSI is below a certain value for selected coins / intervals

A real-time RSI-based crypto trading bot for Binance Futures with BTC-relative signal logic. A script for backtesting and optimising sl and tp thresholds is also included.

An advanced Telegram bot for cryptocurrency trading analysis, featuring multi-source data fetching, technical indicators (Heiken Ashi, Ichimoku, Fibonacci, etc.), on-chain metrics, social sentiment, and AI-powered signals with risk management.

Meet Our Al-Driven "Multi-Agent System" for Intelligent Financial Analysis, Predictive Trading, and Risk Management. (We are facing some issues in hosting, we'll be back soon. Meanwhile working sub-domain - chat.finforesight.dev )

🤖 Automated Binance trading bot optimized for Raspberry Pi with RSI strategy, OCO orders, and portfolio management

A crypto trading bot script made in Python to backtest a RSI strategy focused on scalping in the 1-5-15m timeframes with high W/R in Spot markets.

End-to-end trading bot with RSI, DMA, ML predictions, Google Sheets logging, Telegram alerts, and Groq AI commentary.

An automated trading system that implements technical analysis and machine learning strategies on NIFTY 50 stocks. The system features real-time data processing, backtesting, automated trade execution, and integration with Google Sheets for reporting.

i made these two scripts to run a RPI4/3/zero2 A straightforward Python-based RSI (Relative Strength Index) trading bot designed for the Kraken exchange. This bot features a web-based dashboard for monitoring and basic controls, and supports both live and paper trading.

Crypto Trading Simulation project that implements and compares three different algorithmic trading strategies for cryptocurrency trading, specifically focusing on Bitcoin (BTC) and Ethereum (ETH).

Multi-Strategy Quantitative Trading Dashboard - EMA Crossover, RSI, SMA, Bollinger Bands with Sharpe Ratio Analysis, Monte Carlo Simulation, and Live Data Integration

Momentum-based trading system with modular strategy design and volatility-aware position sizing.

An automated trading bot for Indian stock market (NSE) using VWAP + RSI and OHL Strategy .

A collection of algorithmic trading strategies implemented in Python. Ideal for backtesting and refining trading ideas, this repository serves as a resource for quantitative traders and developers interest.

📊 Build and analyze multiple trading strategies with the EMA-Sharpe dashboard, featuring real-time data and comprehensive performance metrics.