Home / Backtesting & trading frameworks
Trading Strategy
Getting-started notebooks for a DeFi trading framework
What it is
The getting-started repository for TradingStrategy.ai, a framework covering market data, backtesting, live trading and investor management for decentralised finance. The notebooks walk through developing a strategy from data to deployment. Developers and teams doing quantitative research and trading in DeFi are the intended users. The framework is built for on-chain markets, so it is not a fit for traditional stock or futures trading.
At a glance
Worth watchingOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Developers |
|---|---|
| Used for | Backtesting, Live trading |
| Markets | Crypto |
| Stack | Python |
| Learning curve | Moderate learning curve |
| Practical value | Medium practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | Commits today |
GitHub stars, last 30 days
Daily snapshots since 2026-09-28 (up to 30 days): +11 over the period, now 264. Gaps mean no snapshot was taken that day.
TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance.
Similar tools
Free, open-source crypto trading bot written in Python
Advanced crypto trading framework for backtesting and live trading
Async event-driven Python framework for crypto algorithmic trading
Python framework for building, backtesting, and deploying trading algorithms
Archived Python crypto-asset algorithmic trading engine
Python framework for backtesting and live algorithmic trading