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.

This repo is dedicated to the prediction of bitcoin with LSTM neural net

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.

Creating a Bitcoin value predictor by correlating social media sentiment with market trends using sentiment analysis and machine learning algorithms.

Financial time-series forecasting of Bitcoin (BTC-USD) using Meta's Prophet library, featuring trend decomposition, seasonality analysis, and 365-day price predictions.

This is built to encourage new bitcoin investors to buy profitably at the proper moment.

An analysis on Bitocin Prices, it includes two price prediction models to compare the sensibility of Bitcoin to underlying factors.

Predict Bitcoin prices based on historical data using machine learning techniques

Utilizing deep learning techniques to predict Bitcoin price movements based on historical data and relevant market indicators.

Time-series prediction scaffolding library. Sample example is with bitcoin prediction.

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.

TÜBİTAK 2209-A funded academic research project comparing various ML/DL models for Bitcoin price prediction using financial indicators and cross-asset correlations.

SimBit - Simple Bitcoin Prediction Ai. This Ai Model uses historical Bitcoin price data to predict future prices.