Found 51 repositories(showing 30)
The goal of this study is to predict prices for Cryptocurrencies using Time series analysis and machine learning techniques. The purpose of this project is to take a sneak peek into the future by forecasting the next 30 days' average daily Realized Volatility (RV) of ETH-BTC using 2 different approaches - the traditional econometric approach to volatility prediction of financial time series GARCH and state-of-the-art LSTM Neural Networks. Quantitative research methodology was used in this study and the The dataset Consist the historical data values of any any crypto-pair such as Open/Close/High/Low prices of any interval such as 15-minutes, Hourly, 1-day interval weekly, monthly. Dataset were obtained using the Binance API .
This project aims to compare the performance of various open-source Large Language Models (LLMs) in predicting the price movements of cryptocurrencies and stocks. The goal is to assess how well these models handle price prediction tasks in financial markets with different levels of volatility, such as cryptocurrencies and traditional stocks.
Phuong-code
Crypto Price Prediction with LSTM uses machine learning and LSTM neural networks to forecast Bitcoin (BTC-USD) prices based on historical data. This project is for educational purposes only and should not be used for actual financial decisions due to cryptocurrency market volatility.
tanusdave2007
This repository contains all the theory and practical data regarding the Machine Learning Project of Cryptocurrency Volatility Prediction.
sandwichdude
This is a cryptocurrency volatility prediction project based on implementing the Stochastic Volatility with Co-Jumps (SVCJ) framework from the 2022 research paper by Huang, et al. It uses a particle filtering algorithm for model calibration and Monte Carlo simulations to forecast volatility.
Kousiiik
In this project, we will examine the nomenclature of non-volatile cryptocurrencies and stablecoins, focusing on how they are named. I will use Bitcoin as an example of a non-volatile cryptocurrency and USDTether as a representative stablecoin. I used LSTM and GNN for prediction and Hypothesistesting for validation.
nainayadav120-hue
Cryptocurrency Volatility Prediction Project
Cryptocurrency Volatility Prediction Project
UmeshHazra
Cryptocurrency Volatility Prediction project
YOGI000097
Cryptocurrency Volatility Prediction Project
Harshali2628
Cryptocurrency Volatility Prediction Project (ML )
ML Cryptocurrency Volatility Prediction Project
prathameshpatrawale
Cryptocurrency volatility prediction project with deployment
Biraj985465
ML Project 1- Cryptocurrency Volatility Prediction
mohitmayank2002
Machine Language Project
JignaBavaliya
No description available
kirtivish974
This project aims to build a predictive model that forecasts cryptocurrency market volatility. The model analyzes historical market data and engineered features to predict future price movements, helping traders and investors make informed decisions.
suman12-coder
Predicting cryptocurrency price volatility using machine learning techniques. This project explores historical market data, applies statistical analysis, and builds predictive models using Python, Pandas, NumPy, and scikit-learn.
Arpansamanta649
No description available
ayushonly267
No description available
Cryptocurrency Volatility Prediction
No description available
nehachouhan169
No description available
No description available
No description available
Arpansamanta649
No description available
Aastha-collab
No description available
No description available
Project Assignment
Shivam-97-code
No description available