TÜBİTAK 2209-A funded academic research project comparing various ML/DL models for Bitcoin price prediction using financial indicators and cross-asset correlations.
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Updated
Mar 10, 2025 - Python
TÜBİTAK 2209-A funded academic research project comparing various ML/DL models for Bitcoin price prediction using financial indicators and cross-asset correlations.
Utilizing deep learning techniques to predict Bitcoin price movements based on historical data and relevant market indicators.
SimBit - Simple Bitcoin Prediction Ai. This Ai Model uses historical Bitcoin price data to predict future prices.
This repo is dedicated to the prediction of bitcoin with LSTM neural net
Time-series prediction scaffolding library. Sample example is with bitcoin prediction.
This is built to encourage new bitcoin investors to buy profitably at the proper moment.
Open-source Bitcoin price predictor with deep learning methods. Foundation for ML enthusiasts to learn and contribute to crypto prediction algorithms. Smart Bitcoin price prediction with sleek interface - 7 day analysis, neural networks, and 70% accuracy. Your playground for crypto AI experimentation.
Uses deep learning recurrent neural networks to model Bitcoin closing prices. One model uses fear and greed indicators while the second uses a window of closing prices.
An analysis on Bitocin Prices, it includes two price prediction models to compare the sensibility of Bitcoin to underlying factors.
Creating a Bitcoin value predictor by correlating social media sentiment with market trends using sentiment analysis and machine learning algorithms.
Trabajo de Fin de Grado en Ingeniería Matemática: Sistema de predicción direccional de Bitcoin mediante modelos de machine learning (LightGBM) y análisis de sentimiento (RoBERTa). Investigación sobre integración multimodal en mercados financieros.
Predict Bitcoin prices based on historical data using machine learning techniques
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