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Crypto AlgoTrading Framework
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Algorithmic trading framework for cryptocurrencies in Python
Algotrading Framework is a repository with tools to build and run working trading bots, backtest strategies, assist on trading, define simple stop losses and trailing stop losses, etc. This framework work with data directly from Crypto exchanges API, from a DB or CSV files. Can be used for data-driven and event-driven systems. Made exclusively for crypto markets for now and written in Python.
Follow this Quickstart Guide if you want to start right away
A Medium story dedicated to this project
Index
Operating modes
Framework has three operating modes:
- Realtime -- Trades with real data in real time, with real money or in simulation mode.
- Tick-by-tick -- Testing strategies in real time frames, so user can follow its entries and exits strategies.
- Backtest -- Backtesting strategies and presenting the results.
Realtime
In realtime, Trading Bot operates in real-time, with live data from exchanges APIs. It doesn't need pre-stored data or DB to work. In this mode, a bot can trade real money, simulate or alert the user when its time to buy or sell, based on entry and exit strategies defined by the user. Can also simulate users strategies and present the results in real-time.
Tick-by-tick
Tick-by-tick mode allows users to check strategies in a visible timeframe, to better check entries and exit points or to detect strategies faults or new entry and exit points. Use data from CSV files or DB.
Backtest
Allows users to backtest strategies, with previously stored data. Can also plot trading data showing entry and exit points for implemented strategies.
How to start
Pre requisites
Don't lose this
Three weeks from now, you'll want Algotrading again. Will you remember where to find it?
Save it to your library and the next time you need Algotrading, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Algorithmic trading framework for cryptocurrencies. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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