Stock Trek time-series analysis python bindings
Project description
stock-trek
A lightweight, composable time series and statistical toolkit designed for running crypto bots on stock-trek.com. Rust-native core with optional Python bindings
Overview
stock-trek provides core abstractions and utilities for working with price data, including:
- Strongly-typed Datum representation
- Efficient TimeSeries container
- Statistical and analytical functions
- Functional-style transformations and mappings
It is built with a focus on:
- Performance (zero-cost abstractions where possible)
- Ergonomics (clean, composable APIs)
- Extensibility (designed to grow into simulation/backtesting)
Installation
Add to your Cargo.toml:
[dependencies]
stock-trek = "0.1.0"
Python Bindings
stock-trek also provides Python bindings which can be installed via
pip install stock-trek
Roadmap
Planned features include:
- Technical indicators (EMA, RSI, MACD, etc.)
- Backtesting and simulation utilities
- OHLCV-native data structures
Status
This project is in early development (0.x). APIs may change.
License
MIT
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