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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file stock_trek-0.1.5-cp38-abi3-win_amd64.whl.
File metadata
- Download URL: stock_trek-0.1.5-cp38-abi3-win_amd64.whl
- Upload date:
- Size: 156.2 kB
- Tags: CPython 3.8+, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1eab6abd766f1edaf0779ff4749b8ae6e7001075fe5198645ad3ea71144ab0c0
|
|
| MD5 |
6074b4df21537a1b48ac9ba84532f74b
|
|
| BLAKE2b-256 |
48da0ff097f85329623bf562fd913f0e15ecc339aff0383472f50f6ea6d6ef17
|
File details
Details for the file stock_trek-0.1.5-cp38-abi3-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: stock_trek-0.1.5-cp38-abi3-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 306.2 kB
- Tags: CPython 3.8+, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
920068767e0ee6d06eec756e47f83ff412d2945eec8762be91b177bcff3ed1d9
|
|
| MD5 |
4d85bdef9afc2c0633d9c836c5472319
|
|
| BLAKE2b-256 |
72a53af4ae50dbfd7749d33c5b8bc66746130cd3ba098c7a86ee3cac1e0aef1b
|
File details
Details for the file stock_trek-0.1.5-cp38-abi3-manylinux_2_28_aarch64.whl.
File metadata
- Download URL: stock_trek-0.1.5-cp38-abi3-manylinux_2_28_aarch64.whl
- Upload date:
- Size: 299.3 kB
- Tags: CPython 3.8+, manylinux: glibc 2.28+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f62ca6e0e4787e4964f3dcda4826d5fa2c93ee3276f90433c4f800ab9dccbfb0
|
|
| MD5 |
0e1e6c72aef7662b87b0fb6820e5eb62
|
|
| BLAKE2b-256 |
52702c6340d80ce6c7189105bdafaf9dc4c548609562edfa8c959262efae30ae
|
File details
Details for the file stock_trek-0.1.5-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.
File metadata
- Download URL: stock_trek-0.1.5-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
- Upload date:
- Size: 522.7 kB
- Tags: CPython 3.8+, macOS 10.12+ universal2 (ARM64, x86-64), macOS 10.12+ x86-64, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
33e2b15a3cc082f1174421c2e272d65b408ee4fdb5950527f1df3dd953a8a6d4
|
|
| MD5 |
a214d789e99a0417494fa4c0785bcaea
|
|
| BLAKE2b-256 |
fa819da9505e8ba997e40f9b6e35ee945e13b95c5519f3d148ea923f9806b8dd
|
