Crypto trading signal bot based on rsi

Rsi Strategy Signal Bot

Implementation of some trading strategies and verifying their performance by backtesting using historical prices.

This repository is a collection of open-source use-case examples of algorithmic or quant trading in Python.

WATA (Warrants Automated Trading Assistant) is a Python-based automated trading system for executing Knock-out warrants on Saxo Bank. It processes webhook signals, performs rule validation, executes trades via API, and provides real-time monitoring with Telegram notifications or built-in reporting dashboard. Built on a microservice architecture.

A Python library for algorithmic trading and technical analysis. Integrates 7+ data providers, 50+ indicators, with smart caching to minimize API costs. Built for performance and reliability.

A self-hosted, privacy-first solution for sharing and managing crypto trading signals. Customize trading pairs, track performance, and automate notifications via Telegram or Web UI.

A commercial AI-driven platform for real-time and end-of-day forecasting of all Tehran Stock Exchange symbols. Built in collaboration with industry partners and academic advisors, it integrates automated data-ingestion pipelines, deep-learning LSTM models, smart feature extraction (technical data & news data), and rolling 40-minute predictions.

ML-Powered Trading Signal Generation System - Production-ready platform with 200+ indicators, 5 ML models, backtesting, and real-time streaming

A daily-updated web-based system for technical stock market analysis using technical indicators.

Python script for BTC/USDT daily signal generation (Overbought Long & MACD Bearish Div) with Out-of-Sample (OOS) performance validation. Showcase of strategy development. Not financial advice.

A cloud system that integrates GAE and AWS services including Lambda, EC2, and S3 for scalable risk analysis and trading strategy optimisation. GAE manages API requests, while AWS handles computation and storage.

📈 Technical Market Analyzer - Advanced financial analysis tool with multi-timeframe MACD, ROC, Stochastic oscillators, and automated Excel reporting for trading signals.

📈 Generate high-quality trading signals using this enterprise-grade ML platform, combining traditional models and deep learning for real-time performance.

A Python-based system that analyzes market sentiment from news sources to generate trading signals. Combines NLP (VADER & BERT) with technical indicators to identify trends in commodities and indices (Gold, Oil, S&P 500, Nasdaq).

📊 Optimize trading decisions for Vietnamese stocks using a multi-agent pipeline that integrates data analysis and risk management for smarter investments.

A repository containing a Python script for implementing a simple trading strategy based on moving average crossover.