🤖 Open-source crypto trading bot | 📈 DCA & GRID strategies | ✨ UI | ⭐ Star to support the project!
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
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.
PancakeSwap Prediction game by use of RSI Indicator Crossover!
Sends telegram message to a Telegram Bot when RSI is below a certain value for selected coins / intervals
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.
SwitchGain is a Python-based algorithmic trading project implementing Momentum and Mean Reversion strategies on stock data. It automates signal generation using technical indicators (RSI, Bollinger Bands) and provides performance analytics.
🎯 An interactive Streamlit app to backtest SMA, EMA, and RSI trading strategies with real stock data, portfolio simulation, and beginner-friendly insights.
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 )
An RSI and Bollinger Bands-based trading strategy, yielding a 3103% cumulative return for provided backtesting setting
End-to-end trading bot with RSI, DMA, ML predictions, Google Sheets logging, Telegram alerts, and Groq AI commentary.
📈 Indicadores Crypto inspirados no tradingview
Buy when RSI is oversold and volume is increasing and sell when RSI is overbought and volume is decreasing.
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.
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.
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