Get Telegram or Discord alerts when RSI, MACD, or moving average signals trigger for a configured list of cryptocurrencies across Binance or Coinbase.
Monitor over 500 cryptocurrencies for trading signals without manually watching charts, the tool runs continuously and notifies you.
Use as a modular base for adding custom trading strategies or machine learning experiments on top of the existing indicator pipeline.
Requires Docker and a config file, exchange API keys and notification credentials such as a Telegram bot token must be obtained before alerts work.
Crypto Signal is a command-line tool that automatically runs technical analysis on cryptocurrency prices and sends you alerts when certain conditions are met. Technical analysis refers to looking at price patterns and mathematical indicators to try to identify trading signals, and this tool automates the calculations so you do not have to do them manually or watch charts constantly. The tool supports over 500 cryptocurrencies across several major exchanges including Binance, Coinbase, Bitfinex, and Gemini. It calculates a range of standard indicators: RSI (Relative Strength Index, which measures whether an asset is overbought or oversold), MACD (a trend-following indicator), moving averages, Ichimoku Cloud, and several others. When one of these indicators crosses a threshold you configure, the tool can send an alert via SMS, email, Slack, Telegram, or Discord. Installing it requires Docker, a tool that packages software so it runs the same way on any computer. The setup is a few terminal commands: install Docker, create a configuration file (a text file where you set which coins to watch and which indicators to use), then run a single Docker command to start the tool. Updates are handled by pulling a newer Docker image. The project is community maintained and described as being in a stable beta state, though documentation sometimes lags behind the code. The code is designed to be modular, meaning developers can extend it with custom trading strategies or add machine learning experiments on top of it. The project includes a clear disclaimer: it is not financial advice, and the authors take no responsibility for trading losses. The recommendation in the README is to treat it as an educational tool and to practice with simulated trading before using real money. You assume all risk when acting on signals it produces.
← cryptosignal on gitmyhub — every repo by this author, as a profile.
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