Crypto Signal — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for Crypto Signal. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Jul 7, 2024 • Sentiment updated: Mar 16, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The CryptoSignal project has a strong following and is actively maintained, with a focus on providing reliable and accurate signals for cryptocurrency traders.

Why Crypto Signal Stands Out

CryptoSignal stands out from alternatives due to its community-driven development, modular architecture, and extensive technical analysis capabilities. Its use of TA-Lib for technical analysis ensures accurate and reliable results. By providing a customizable and extensible framework, CryptoSignal enables users to create tailored trading strategies and integrate with various exchanges. The project's focus on democratizing access to cryptocurrency markets and its strong community support make it a valuable resource for traders and researchers alike.

Built With

Build a customizable trading bot that automates technical analysis across multiple exchanges — CryptoSignal's modular code enables easy implementation of various trading strategies, Build a real-time alert system for cryptocurrency market movements — CryptoSignal's alert features allow for SMS, email, and platform notifications, Build a data analysis pipeline for cryptocurrency markets — CryptoSignal's integration with TA-Lib enables accurate technical analysis, Build a machine learning model for predictive cryptocurrency analysis — CryptoSignal's data output can be used to train and test ML models, Build a research tool for backtesting trading strategies — CryptoSignal's historical data access enables strategy evaluation

Getting Started

  1. Install Docker CE by running the command: `docker install`
  2. Create a config.yml file in your current directory to customize settings
  3. Run the application using the command: `docker run --rm -v $PWD/config.yml:/app/config.yml shadowreaver/crypto-signal:master`
  4. Update the application by running the command: `docker pull shadowreaver/crypto-signal:master`
  5. Try running a technical analysis on a specific cryptocurrency to verify it works, such as tracking the RSI of Bitcoin

About

Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks

Official site: https://www.linkedin.com/in/AbenezerMamo

Category & Tags

Category: trading

Tags: abenezer-mamo, algorithmic-trading, binance, binance-api, bitcoin, bittrex-api, coinbase, coinbase-api, coinbase-pro, crypto, crypto-signal, cryptosignal, cryptotrading, ethereum, gdax, mamo, technical-analysis, trading, trading-bot, trading-strategies

Market Context

This project is well-suited for experienced traders looking to automate their cryptocurrency trading strategies using APIs from major exchanges.