Train and Deploy an ML REST API to predict crypto prices, in 10 steps

Predict any cryptocurrency with any pair (USDT/ETH/BTC/BNB/ETC) on Binance through Deep Learning (commonly known as Artificial Intelligence for those who do not know the difference between AI/Ml/Dl).

Openclaw 🦞 AI Polymarket Trading Bot — TypeScript bot built with Openclaw AI agent. Predicts crypto price on Polymarket 5m BTC Up/Down markets and tracks results (paper or live) and automatically executes trading according to the prediction result.

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

AI Model to predict crypto prices

Uses Facebook Prophet to analyze time-series data and make predictions on cryptocurrency prices

End-to-end ML-enhanced Hierarchical Risk Parity (HRP) portfolio strategy for multi-crypto assets: from research and feature engineering (price normalization, technical indicators, on-chain metrics) to predictive modeling, backtesting, and live execution-ready allocation.

Uses Reddit, Twitter, Google, Historic, Technical Analysis and Blockchain based data to predict crypto currency prices. Done as my undergrad dissertation. Uses a self made backtest module.

A Python bot which can compare and assist in predicting future crypto prices

Project shows that real-time Twitter data can be used to predict market movement of Bitcoin Price. The goal of this project is to prove whether Twitter data relating to cryptocurrencies can be utilized to develop advantageous crypto coin trading strategies. By way of supervised machine learning techniques, have outlined several machine learning pipelines with the objective of identifying cryptocurrency market movement. The prominent alternative currency ex- amined in this paper is Bitcoin (BTC). Our approach to cleaning data and applying supervised learning algorithms such as logistic regression, Decision Tree Classifier, and LDA leads to a final prediction accuracy exceeding 70%. In order to achieve this result, rigorous error analysis is employed in order to ensure that accurate inputs are utilized at each step of the model.

This repository contains a Streamlit app, which predicts the future price of a user specified crypto ticker from Coinmarketcap using Facebook Prophet..

Crypto Price Prediction is the webapp based on Machine Learning model that predicts the future closing price.

The Crypto Price Prediction Bot is a Telegram bot that predicts cryptocurrency prices using machine learning. It fetches historical data from Binance, trains different models, and provides predictions for the next 30 days. Users can interact with the bot via Telegram commands to get insights into the cryptocurrency market.

ZEROAI leverages AI to forecast crypto prices, utilizing diverse data to train a predictive machine-learning model.

A repository for comparing machine learning models for cryptocurrency price classification and breakthrough prediction. Explore traditional and advanced techniques to analyze and predict significant price movements in the crypto market.

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A transformer based model to predict crypto-currency prices using sentiment analysis and cross-correlation

A Flask app to predict the future prices of various Crypto Currencies implemented various supervised and deep learning algorithms such as LSTM (RNN), polynomial regression, using scikit-learn, tensorflow, keras etc.

use TFT model to predict the crypto price

Cryptocurrency Price Predictor is a webapp that uses machine learning (like Linear Regression or Neural Networks) to forecast crypto prices.

This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you ask it.

Exploratory data analysis on crypto currency price predictors and trends to eventually construct trading strategies on parity/gekko engine

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 .

We are attempting to create a cryptocurrency price predictor using machine learning

Cryptocurrency Price Prediction Tool uses machine learning to predict crypto prices for selected time periods with historical data from CryptoCompare API.

Crypto Price Predictor experimental project, a machine learning system designed to predict cryptocurrency price movements by combining real-time market data with news sentiment analysis.

based on sentimental data scraped off twitter, this project tries to effectively predict crypto assets' pricing using a neural network.

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Predicting stock/forex/crypto price using python, deep learning and tensorflow

Machine learning project for market price prediction across crypto, forex, and commodities using engineered technical indicators with LSTM and XGBoost models.