📈 AI-Powered Real-Time Stock Analysis & Prediction

This project is an AI-driven stock trend prediction system that continuously fetches real-time stock prices, applies technical indicators (Moving Averages), and predicts stock price movements using RandomForestClassifier. It also automatically retrains itself periodically based on live market data.

📌 Features

✅ Real-Time Market Data – Fetches live stock prices using Yahoo Finance (yfinance).
✅ Technical Indicator-Based Predictions – Uses 5-day & 10-day moving averages for trend analysis.
✅ Machine Learning (RandomForestClassifier) – Trains a predictive model to classify stock movements.
✅ Periodic Model Retraining – Ensures dynamic adaptation to market trends.
✅ Real-Time Visualization – Plots stock prices, moving averages & predicted signals dynamically.

⚡ Installation

Step 1: Install Dependencies

Run the following command to install required libraries:

pip install -r requirements.txt

Step 2: Run the Code

Execute the Python script for real-time stock trend prediction:

python stock_analysis.py

🛠 Project Structure

real-time-stock-analysis/
│── stock_analysis.py         # Main AI-powered stock prediction script
│── requirements.txt          # List of dependencies
│── README.md                 # Documentation
│── .gitignore                # Ignore unnecessary files
│── models/                   # Saved trained models
│── results/                  # Performance visualizations

📊 How It Works

1️⃣ Fetches real-time stock prices from Yahoo Finance (yfinance). 2️⃣ Computes 5-day & 10-day moving averages for trend analysis. 3️⃣ Trains a RandomForestClassifier model for trend prediction. 4️⃣ Predicts buy/sell signals based on latest data. 5️⃣ Updates live visualization of stock movements. 6️⃣ Retrains the model every 60 minutes for continuous improvement.

If you have any suggestions: Mail me at help.brokenbrains@gmail.com