Trade Bitcoin and run forecasting models from the terminal

Machine learning for high frequency bitcoin price prediction

Bitcoin price prediction algorithm using bayesian regression techniques

Bayesian regression for latent source model and Bitcoin

CryptoCurrency prediction using machine learning and deep learning

The implementation of CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction

Predicts real-time bitcoin price using twitter and reddit sentiment, and sends out notifications via SMS.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

CryptoCurrency prediction using Deep Recurrent Neural Networks

We are the Anchain.ai Bitcoin Price Prediction team from UC Berkeley's Data-X course. Our product is called BTC Predictor.

This project focuses on predicting the prices of Bitcoins, the most in-demand cryptocurrency of today's world.

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

This is a functional trading bot that works by predicting the price of Bitcoin using Machine Learning, and placing trades based on its prediction. It's pretty experimental and largely untested, so please don't yolo.

Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)

AI multi-agent system for comprehensive Bitcoin (BTC) analysis, combining financial news, market performance, and AI-driven price predictions for investment recommendations.

Autoresearch: autonomous formula discovery for Bitcoin price prediction (time-based)

Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it for making any investment.This project focuses on the accurate prediction of cryptocurrencies price using neural networks. We’re implementing a Long Short Term Memory (LSTM) model using keras; it’s a particular type of deep learning model that is well suited to time series data (or any data with temporal/spatial/structural order e.g. movies, sentences, etc.).We have used different activation function for analysing the efficiency of the system.Instead of historical data we are using live streaming data for better accuracy.

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Recurrent Neural Network (RNN), LSTM (Long Short-Time Memory), Bitcoin, Google Trends, Prediction, Deep Learning

Bitcoin price prediction using both traditonal machine learning and deep learning techniques, based on historical price and sentiment extracted from Twitter posts. Fear of missing out analysis after Elon Musk tweeted about Dogecoin.

A dockerized prediction API for crypto.

Bitcoin price prediction using twitter sentiment analysis

📈 Bitcoin bull run peak prediction project (price and date)

Forex price movement forecast

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Analysis of LSTM and Deep-Learning for machine-learning guided Bitcoin Trading.

predicting the price variations of bitcoin, a virtual cryptographic currency. These predictions could be used as the foundation of a bitcoin trading strategy. To make these predictions, you will have to familiarize yourself with a machine learning technique, Bayesian Regression, and implement this technique in Python

A Model to Predict any kind of price such as Crypto price or Stock price using LSTM network and python

Bitcoin price prediction using ARIMA Model.

bitcoin prediction algorithms