This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.

[EAAI] The official repo for the paper: "A Lightweight Multi-Head Attention Transformer for Stock Price Forecasting".

Problem statement - Implement a solution to forecast stock 'volatility' following earnings calls release of S&P1500 companies.

A repository for my stock price predictor project.

Predict stock prices using neural networks trained on historical price data.

Stocks Recomendation System for Portfolio Optimization

Baseline-aware NFLX forecasting with technical, fundamental, and sentiment features, comparing Random Forest, XGBoost, and LSTM under leakage-safe evaluation and a trading overlay.

A machine learning model to predict stock prices.

Backtesting News Sentiment with Asset Prices

📈 Predict stock movements using machine learning, integrating financial data and technology for clear, actionable insights in real-time.