# jmrichardson/tuneta

<https://repo.masters-masters.com/en/repos/jmrichardson/tuneta>

[Home](https://repo.masters-masters.com/en) › [jmrichardson](https://repo.masters-masters.com/en/owners/jmrichardson) › [tuneta](https://repo.masters-masters.com/en/repos/jmrichardson/tuneta)

jmrichardson/tuneta has 463 stars on GitHub. Its RepoMasters card: Alpha tier. Intelligently optimizes technical indicators and optionally selects the least…

| Field | Value |
| --- | --- |
| Owner | [jmrichardson](https://repo.masters-masters.com/en/owners/jmrichardson) |
| Stars | 463 |
| Forks | 78 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | technical-analysis, hyperparameter-optimization, machine-learning, technical-indicators, optuna, finance, optimize, trading, stocks, stock-market |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jmrichardson/tuneta](https://github.com/jmrichardson/tuneta) |

## Repository

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## Nearby in Python

- [Bwkyd/wexin-read-mcp · ★ 463 · Python · Alpha](https://repo.masters-masters.com/en/repos/Bwkyd/wexin-read-mcp)
- [ailabs-393/ai-labs-claude-skills · ★ 463 · Python · Alpha](https://repo.masters-masters.com/en/repos/ailabs-393/ai-labs-claude-skills)
- [NyxFoundation/speca · ★ 463 · Python · Alpha](https://repo.masters-masters.com/en/repos/NyxFoundation/speca)
- [pydanny/django-uni-form · ★ 463 · Python · Alpha](https://repo.masters-masters.com/en/repos/pydanny/django-uni-form)
- [luispedro/jug · ★ 463 · Python · Alpha](https://repo.masters-masters.com/en/repos/luispedro/jug)
- [paver/paver · ★ 463 · Python · Alpha](https://repo.masters-masters.com/en/repos/paver/paver)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.