daily stock screening by using Mark Minervini's volatility contraction pattern detection, stage 2 template searching and news sentiment analysis by openAi api
-
Updated
May 17, 2025 - Python
daily stock screening by using Mark Minervini's volatility contraction pattern detection, stage 2 template searching and news sentiment analysis by openAi api
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
네이버 주식 데이터를 크롤러를 통해 수집하고 LSTM을 이용하여 주식 가격을 예측했습니다.
A program built to earn money automatically through stock trading, with little to no input from the user.
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.
Stock Prediction & Forecasting Using Machine Learning (SVR And LSTM)
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
This is a project for PPO S&P 500 trading
Multimodal Hybrid Deep Learning Framework for ASX Stock Prediction using FinBERT, LSTM-Transformer architectures, and production AI deployment.
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.
dStock is a stock prediction program
To associate your repository with the stockprediction topic, visit your repo's landing page and select "manage topics."