robertmartin8/MachineLearningStocks resource
Using python and scikit-learn to make stock predictions observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3489
- days_rel: n/a
- days_push: 807
- n_releases_24m: 0
Adoption not part of the score
1961 stars · 539 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python tutorial project and template applying scikit-learn classifiers to historical stock prices and fundamentals to predict which stocks will outperform. It walks through data cleaning with pandas, feature engineering, backtesting, and generating predictions on current data.
Use cases
- learn how to apply machine learning to stock prediction
- scrape and clean historical stock fundamentals with pandas
- backtest an ML-based stock selection strategy
- build a starter template for algorithmic trading research
- understand the ML workflow for predicting stock price movements
- classify stocks by fundamentals like PE ratio and debt/equity
When to choose
- you want an educational, extensible walkthrough of ML for stock prediction
- you are learning pandas and scikit-learn on real financial data
- you need a starting template for a quantitative trading research project
When to avoid
- you need actively maintained production trading software
- you want reliable live-trading signals without your own improvements
- you need portfolio optimization rather than stock selection
Facets
learning-resource · maturity abandoned
machine-learning data-science etl machine-learning fintech data-science tutorials python cross-platform stock-prediction scikit-learn quantitative-finance algorithmic-trading tutorial backtesting educational
1 source
- readme: https://github.com/robertmartin8/MachineLearningStocks · fetched 2026-08-28 · 0f61710e77d1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| robertmartin8/MachineLearningStocks | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="robertmartin8/MachineLearningStocks")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem