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#

stock-price-prediction

Here are 1,609 public repositories matching this topic...

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

  • UpdatedDec 5, 2023
  • Python

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

  • UpdatedJul 28, 2022
  • Python

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

  • UpdatedNov 29, 2018
  • Python

Use NLP to predict stock price movement associated with news

  • UpdatedJul 15, 2024
  • Python

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: ARIM…

  • UpdatedFeb 19, 2024
  • Python

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).

  • UpdatedMar 4, 2025
  • Jupyter Notebook

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

  • UpdatedMar 25, 2023
  • Python

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

  • UpdatedSep 29, 2025

Programs for stock prediction and evaluation

  • UpdatedOct 9, 2025
  • Jupyter Notebook

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

  • UpdatedDec 26, 2022
  • HTML

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