I’ve published CLASSIFIED on PyPI under the distribution name classifiedai.
The idea behind the project is straightforward: applications that work with market data shouldn't all need to implement their own exchange connectivity and data-handling infrastructure.
CLASSIFIED provides a shared foundation for retrieving and handling market data, with support for normalized OHLCV data, multi-timeframe requests, and HTTP/WebSocket delivery through its API gateway.
What it provides
- Exchange connectivity through CCXT.
- Normalized OHLCV candle data.
- Multi-timeframe market-data requests.
- Historical market-data retrieval.
- HTTP endpoints and WebSocket streaming through the gateway.
Installation
python -m pip install classifiedai The PyPI distribution is named classifiedai, but the Python import namespace remains classified.
import classified Links
- PyPI package: https://pypi.org/project/classifiedai/
- GitHub repository and README: https://github.com/IamClassified9/Project-Documentation/blob/main/CLASSIFIED
Why I built it
I wanted a reusable market-data foundation that applications and analytical systems could consume without each one having to manage its own exchange integration.
CLASSIFIED is infrastructure, not a trading bot or a trading strategy. Its purpose is to provide market-data functionality that other systems can build on.
The package is now published, and I’m interested in feedback from Python developers working with exchange APIs, OHLCV data, charting, and real-time market-data systems.
If you check it out, I’d appreciate your thoughts on the package structure, API design, and areas worth improving.
