Popular GitHub Repositories for Btc

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Make Payments Crypto Native. MugglePay makes merchants and AI agents accept crypto and sell more with it.

Machine Learning Cognitive Service capable of forecasting the crypto markets! Utilizing Microsoft Machine Learning & Intel MKL.

Cryptocurrency Prediction with Artificial Intelligence V3.0 [GRU Neural Network]

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

A lightweight crypto payment processor microservice, written in Golang, designed for creating and processing cryptocurrency invoices via gRPC.

BTC Mesh Relay is designed to send Bitcoin payments via LoRa Meshtastic.

Implementation of various Neural Network using Keras for predicting Stocks Market (BM&F Bovespa future contracts of dollar - Mini Dolar) and Bitcoin.

Bittensor Subnet for crypto prediction, including TAO, BTC, ETH so on...

ML & DL based Investment Strategies for BTC using Technical Trading Indicators and On-Chain Data Analysis

A Comprehensive Crypto Market Monitor & Alert System

Bitcoin Price Prediction model - LSTM | Multivariable (Price&Polarity) Time Series Forecasting with NLP for Twitter Sentiments aka my Master's Thesis

Bitcoin Mempool AI Assistant is an advanced chatbot designed to provide real-time insights and information about Bitcoin transactions, blockchain data, and market trends

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

Quantitative analysis of crypto carry trade strategies (funding rates, staking, Pendle) on BTC/ETH, using historical data and visual insights.

Predict BTC Price target using machine learning classification algorithm

Textual analysis of the tweets in order to predict the trend of the value of Bitcoins

BTC每日监控指标分析与AI投资建议

Quantitative analysis of crypto carry trade strategies (funding rates, staking, Pendle) on BTC/ETH, using historical data and visual insights.

This project builds a hybrid trading agent that integrates LLM-extracted sentiment and macroeconomic signals into a reinforcement learning crypto trader using the FinRL framework. The agent trades BTC using custom-processed news, Alpha101 technical factors, and RNN-mined features.