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: Apr 16, 2026

GitHub Statistics

Community Sentiment

Community Buzz: I've been building a crypto signal system for the past months, and I ran into...

Pros & Cons

What People Love

Innovative solutions, Transparent signal groups, Reddit users praise Crypto Signal for its potential

Common Complaints

Scams, Losing trades, Lack of transparency

Biggest Positive: Innovative

Biggest Negative: Scams

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 and saturated market with many signal providers