khuangaf/CryptocurrencyPrediction resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1058 stars · 362 forks observed · 2026-08-28

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

A Jupyter Notebook-based deep learning project that predicts Bitcoin prices using CNN, LSTM, and GRU models built with Keras and TensorFlow. It includes data collection from Poloniex, preprocessing, model training, and validation result plotting.

Use cases

• predict bitcoin price with deep learning
• learn lstm and gru for time series forecasting
• build a cnn model for cryptocurrency price prediction
• collect historical crypto data from poloniex for training
• compare rnn and cnn models on financial time series
• tutorial project for keras and tensorflow time series

When to choose

• learning deep learning on time series with a small, readable codebase
• reproducing a classic CNN/LSTM/GRU price prediction experiment
• starting a student project on cryptocurrency forecasting

When to avoid

• building a production trading system - models underperform a simple lag baseline
• working with modern Python - it targets Python 2.7 and old TensorFlow/Keras versions
• needing live data pipelines or up-to-date exchange APIs

Facets

learning-resource · maturity maintenance

deep-learning machine-learning data-science deep-learning machine-learning fintech python bitcoin lstm gru cnn keras tensorflow price-prediction time-series jupyter-notebook final-year-project cryptocurrency

Member repositories

For agents

markdown · JSON · MCP: product_card(name="khuangaf/CryptocurrencyPrediction")