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cnn-lstm-hybrid-archiecture

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kb-90 / clairvoyant

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Powerful XRP price forecasting using public data. Stacking ensemble (Bi-GRU/LSTM/CNN-LSTM + LightGBM/XGBoost, RidgeR). Fuses market OHLCV (CCXT), news sentiment & top50 whale activity. No API keys or signups. Easy setup. CPU/GPU-ready. Multi-horizon single run forecasting. Backtests + Predictions visuals: plot_charts & in-depth tensorboard dash

xgboost lightgbm ridge-regression tensorboard-visualizations forecasting-models lstm-neural-networks price-prediction lstm-sentiment-analysis cnn-lstm ccxt market-analysis bi-gru whale-alert chart-plotter price-forecasting ohlcv-analysis on-chain-metrics-tracking cnn-lstm-hybrid-archiecture crypto-analyser xrp-ledger-whales
  • Updated Jan 7, 2026
  • Python

Kanika-Sharma205 / stock-market-trend-analysis

Star 3

Predicting next-day AAPL price direction using ML ensembles and a CNN + LSTM + Attention deep learning pipeline, with a full-stack web dashboard.

react python docker machine-learning deep-learning deployment random-forest xgboost stock-price-prediction lightgbm feature-engineering lstm-neural-networks stock-analysis cnn-architecture deployment-automation huggingface alpaca-api cnn-lstm-hybrid-archiecture
  • Updated May 4, 2026
  • Jupyter Notebook

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