stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Predicts stock market prices using LSTM-based RNNs with optional multi-stock embeddings.
Good fit when
- Forecasting stock prices requires an approach that benefits from long-term memory in sequential data
- Improved accuracy is needed when considering multiple stocks for prediction
Avoid when
- Short-term price predictions dominate the forecasting focus
- Single-stock analysis suffices without incorporating multi-stock embeddings
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1514d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install stock-rnnSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository provides a framework for predicting stock market prices using Recurrent Neural Network (RNN) models, particularly focusing on Long Short-Term Memory (LSTM) networks. It includes the implementation of an RNN model with multilayer LSTM cells and supports optional multi-stock embeddings to enhance prediction accuracy.
Capability facts
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
3. Run `python data_fetcher.py` to download the prices of individual stocks in S & P 500, eachSource link
Tags
README
Predict stock market prices using RNN Check my blog post "Predict Stock Prices Using RNN": Part 1 and Part 2 for the tutorial associated. One thing I would like to emphasize that because my motivation is more on demonstrating how to build and train an RNN model in Tensorflow and...
For agents
This page has a .md twin and JSON over the API.