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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
| Date | Stars |
|---|---|
| 2026-07-24 | 371 |
| 2026-07-25 | 372 |
| 2026-07-28 | 372 |
| 2026-07-30 | 372 |
| 2026-08-06 | 372 |
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growth rate 0.00%/day
[](https://badge.fury.io/py/trading-strategy) [](https://github.com/tradingstrategy-ai/trading-strategy/actions/workflows/python-app.yml) [](https://github.com/tradingstrategy-ai/trading-strategy/actions/workflows/pip-install.yml) <a href="https://tradingstrategy.ai"> <img src="https://raw.githubusercontent.com/tradingstrategy-ai/trading-strategy/master/logo.svg" width="384"> </a> # Trading Strategy framework for Python Trading Strategy framework is a Python framework for algorithmic trading on decentralised exchanges. - Download decentralised finance market data sets - Develop and backtest trading strategies in Jupyter Notebook - Live trade execution for onchain trading - Smart contract vault support for turning your trading strategy to a third-party investable vault The `trading-strategy` library provides data fetching for backtesting and live trading. It is using [backtesting data](https://tradingstrategy.ai/trading-view/backtesting) and [real-time price feeds](https://tradingstrategy.ai/trading-view) from [Trading Strategy Protocol](https://tradingstrategy.ai/). # Use cases * Analyse cryptocurrency investment opportunities on [decentralised exchanges (DEXes)](https://tradingstrategy.ai/trading-view/exchanges) * Creating trading algorithms and trading bots that trade on DEXes * Deploy trading strategies as on-chain smart contracts where users can invest and withdraw with their wallets # Features * Supports multiple blockchains like [Ethereum mainnet](https://tradingstrategy.ai/trading-view/ethereum), [Binance Smart Chain](https://tradingstrategy.ai/trading-view/binance) and [Polygon](https://tradingstrategy.ai/trading-view/polygon) * Access trading data from on-chain decentralised exchanges like [SushiSwap](https://tradingstrategy.ai/trading-view/ethereum/sushi), [QuickSwap](https://tradingstrategy.ai/trading-view/polygon/quickswap) and [PancakeSwap](https://tradingstrategy.ai/trading-view/binance/pancakeswap-v2) * Integration with Jupyter Notebook for easy manipulation of data. See [example notebooks](https://tradingstrategy.ai/docs/programming/code-examples/index.html). * Write [algorithmic trading strategies](https://tradingstrategy.ai/docs/programming/strategy-examples/index.html) for decentralised exchange # Getting started See [the Getting Started repository](https://github.com/tradingstrategy-ai/getting-started) and the rest of the [Trading Strategy documentation](https://tradingstrategy.ai/docs/). # Prerequisites * Python 3.10 * [Understanding Python package management and installation](https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments/) (unless using Dev Container from teh above) # Installing the package You can install this package with [Poetry](https://python-poetry.org/) as a dependency: ```shell poetry add trading-strategy -E direct-feed ``` Poetry, local development: ```shell poetry install -E direct-feed ``` Pip: ```shell pip install "trading-strategy[direct-feed]" ``` **Note**: `trading-strategy` package provides trading data download and management functionality only. If you want to [developed automated trading strategies you need to install trade-executor package as well](https://github.com/tradingstrategy-ai/trade-executor/). # Documentation - [Documentation](https://tradingstrategy.ai/docs/). - [Getting started](https://tradingstrategy.ai/docs/getting-started.html). Community --------- * [Trading Strategy website](https://tradingstrategy.ai) * [Blog](https://tradingstrategy.ai/blog) * [Twitter](https://twitter.com/TradingProtocol) * [Discord](https://tradingstrategy.ai/community#discord) * [Telegram channel](h
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:517112b0c6f8a837, topic:quantitative-finance, topic:trading, desc:financial