Popular GitHub Repositories for Price

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Use unsupervised and supervised learning to predict stocks

Easy token price estimates for 400+ LLMs. TokenOps.

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

? Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Portfolio optimization with deep learning.

Predict Cryptocurrency Price with Deep Learning

Use NLP to predict stock price movement associated with news

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Introducing neural networks to predict stock prices

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

A stock trading bot that uses machine learning to make price predictions.

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Programs for stock prediction and evaluation

Predict bitcoin price with deep learning

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

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