通过Mark Minervini的波动率收缩模式检测、2阶段模板搜索和openAi API的新闻情绪分析实现每日股票筛选
stockprediction 开源项目推荐(37 个)
stockprediction 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 37 个仓库This repo provides projects on deep-learning mainly using Tensorflow 2.0
A simple LSTM-based machine learning project to predict stock prices using historical data.
A simple LSTM-based machine learning project to predict stock prices using historical data.
A Markov Model machine learning stock prediction algorithm
A program built to earn money automatically through stock trading, with little to no input from the user.
네이버 주식 데이터를 크롤러를 통해 수집하고 LSTM을 이용하여 주식 가격을 예측했습니다.
This project predict Stock close price
The Stock Prediction React Project is a web-based application that utilizes machine learning algorithms and financial data to predict stock prices. Stock Prediction Project Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Full-stack stock prediction web app. Frontend built with React, Tailwind CSS, and clerk for auth. Backend, powered by Python and Flask.
Simple Stock Market Predictor
该项目在 GitHub 上没有填写描述
Interactive S&P 500 stock price prediction app using machine learning and Streamlit. Visualise trends, forecast prices, and explore data insights.
This project aims to predict stock prices using machine learning algorithms. By leveraging historical stock data and various features, we train predictive models to forecast future price movements. The goal is to provide users with actionable insights for making informed investment decisions
Stock Prediction & Forecasting Using Machine Learning (SVR And LSTM)
Multimodal Hybrid Deep Learning Framework for ASX Stock Prediction using FinBERT, LSTM-Transformer architectures, and production AI deployment.
This is a project for PPO S&P 500 trading
Stock signal engine with feature engineering + backtesting + ML-ready pipeline
A clean, reproducible workflow for time-series stock prediction using neural networks (LSTM baseline). Swap in any ticker’s historical CSV from Yahoo Finance, engineer indicators with TA-Lib, and generate forecast plots with train/validation/test splits. Research/education only—no financial advice.
Explains why a stock moved, not just what moved — correlating market events into an auditable, partial-order evidence graph with calibrated odds and an honest unexplained residual. Runs locally. Not investment advice
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/stockprediction。
- 该话题在 GitHub 上共有 37 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 193 Star,覆盖 2 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。