lilianweng/stock-rnn resource

Health v2 · maintenance only

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1991 stars · 673 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A tutorial repository demonstrating how to build and train an RNN with multilayer LSTM cells in TensorFlow to predict stock market prices, including optional multi-stock embeddings. It accompanies a two-part blog post and is intended as a learning reference rather than a production prediction system.

Use cases

• learn how to build an LSTM model in TensorFlow
• predict stock prices with an RNN
• understand multi-stock embeddings for time series
• follow a tutorial on training RNNs on financial data
• get a starting point for stock prediction experiments

When to choose

• you want a hands-on tutorial for LSTM/RNN in TensorFlow
• you need reference code for time-series prediction with embeddings
• you are learning deep learning on financial data

When to avoid

• you need a production-grade stock prediction system
• you require modern TensorFlow 2.x or maintained code
• you need accurate, reliable financial forecasts

Facets

learning-resource · maturity abandoned

machine-learning deep-learning machine-learning fintech tutorials python lstm rnn tensorflow stock-price-prediction time-series embeddings educational

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markdown · JSON · MCP: product_card(name="lilianweng/stock-rnn")