Crypto Signal — AI Agent Framework: Live Stats & TrendScore

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: Jun 25, 2026

GitHub Statistics

Community Sentiment

Community Buzz: As seen on GitHub, 'Few signals that would have caught NATRO before launch' and on Dev.to, 'How Are Developers Actually Using AI At Work?' shows the community is discussing crypto and AI integration

Pros & Cons

What People Love

Crypto insights, AI integration, Developer community

Common Complaints

Scams, Data security concerns

Biggest Positive: Crypto insights

Biggest Negative: Scam risks

Why Crypto Signal Stands Out

Crypto Signal stands out from alternatives by taking a unique approach to technical analysis, leveraging a modular framework and open-source libraries such as TA-Lib. This allows for customization and flexibility that is hard to find in other tools. The project's focus on cryptocurrency-specific analysis and its ability to integrate with various exchanges also sets it apart. Additionally, the tool's emphasis on community-driven development and its large user base ensure that it remains up-to-date and relevant in the ever-changing cryptocurrency market.

Built With

Build a cryptocurrency trading bot — Automate technical analysis and alerts for over 500 coins across various exchanges using a modular, Docker-enabled framework, Build a cryptocurrency research platform — Leverage the tool's technical analysis capabilities and integrate with a data storage system for comprehensive insights, Build a cryptocurrency trading strategy backtester — Utilize the tool's alerts and technical analysis features to evaluate and refine trading strategies, Build a cryptocurrency data analytics dashboard — Combine the tool's data collection capabilities with visualization libraries for real-time insights, Build a cryptocurrency market sentiment analysis tool — Analyze community sentiment and combine it with technical analysis for more accurate predictions

Getting Started

  1. Install Docker CE — `https://docs.docker.com/install/`
  2. Create a config.yml file in your current directory — see the Configuring config.yml section below for customizing settings
  3. In a terminal run the application — `docker run --rm -v $PWD/config.yml:/app/config.yml shadowreaver/crypto-signal:master`
  4. When you want to update the application run `docker pull shadowreaver/crypto-signal:master`
  5. Try running a technical analysis on a specific coin to verify it works — use the tool's built-in indicators such as RSI, Ichimoku Cloud, or MACD

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

Competitive crypto market