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Stock Prediction Models

Gallery of deep-learning stock-forecasting notebooks from the pre-LLM era

By huseinzol05

Live GitHub metrics

Live GitHub data · Oct 11, 2026
Stars
9,501
Stars · 7d
+6
Stars · 30d
+30
30d momentum
+0.3%
Forks
3,050
Open issues
47
Language
Jupyter Notebook
Last push
3 years ago

No tagged releases. Repository created Dec 18, 2017.

9.2k9.3k9.3kJul 4Oct 10
Cumulative GitHub stars, Jul 4, 2026 to Oct 10, 2026. Source: OSSInsight star history.

What it is

A large collection of LSTM, GAN, attention and agent-based forecasting notebooks. It is no longer updated, but it is where a generation of practitioners learned why naive price prediction fails, which makes it worth keeping on the map.

Archived in spirit; no commits since 2023.

In the maintainers' words: “Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations”

Tags

  • Deep learning
  • Forecasting
  • Notebooks
  • #deep-learning
  • #deep-learning-stock
  • #evolution-strategies
  • #learning-agents
  • #lstm
  • #lstm-sequence
  • #monte-carlo
  • #monte-carlo-markov-chain