📈 Stock Moving Average Prediction Tool

Live demo: stock-ml.gvonb.dev

🔍 Overview

This Python script predicts when a stock's 150-day moving average will reach a given target price using linear regression. It fetches historical stock data via yfinance, performs calculations, and presents the results in a clean, easy-to-read table format.

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🚀 Features

• Fetches real-time stock data from Yahoo Finance.
• Calculates 50-day and 150-day moving averages.
• Uses linear regression to predict the crossover date.
• Beautiful terminal output with ANSI colors and a formatted table.

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🛠 Installation

If you're new to Python and Git, follow these steps to install and run the project.

1️⃣ Install Python (if not already installed)

Ensure you have Python 3.8+ installed. Check with:

python3 --version

If Python is not installed, download it from python.org.

2️⃣ Clone the Repository

If you have Git installed, run:

git clone https://github.com/GVonB/stock-moving-average-ml.git
cd stock-moving-average-ml

If you don’t have Git, download the ZIP file from GitHub and extract it manually.

3️⃣ Create a Virtual Environment (Recommended)

python3 -m venv venv
source venv/bin/activate  # macOS/Linux
venv\Scripts\activate    # Windows

4️⃣ Install Dependencies

pip install -r requirements.txt

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📌 Usage

Run the script using the command:

python3 prediction.py <STOCK_TICKER> <TARGET_PRICE>

Example:

python3 prediction.py NVDA 150

This command predicts when NVIDIA (NVDA) will have a 150-day moving average reaching $150.00.

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📊 Example Output

Fetching stock data for NVDA...

📊 Stock Analysis for NVDA
╒═════════════════════════════╤═════════════╕
│ Stock Ticker                │ NVDA        │
├─────────────────────────────┼─────────────┤
│ Current Price               │ $116.66     │
├─────────────────────────────┼─────────────┤
│ Target Moving Average       │ $150.00     │
├─────────────────────────────┼─────────────┤
│ Projected Days Until Target │ 197.52 days │
╘═════════════════════════════╧═════════════╛

🚀 Based on current trends, NVDA is expected to hit $150.0 in approximately 197.52 days!

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❓ FAQ

1️⃣ What if I get Invalid stock ticker?

Make sure you're entering a valid ticker symbol (e.g., AAPL, TSLA, GOOGL).

2️⃣ How do I update dependencies?

Run:

pip install --upgrade -r requirements.txt

3️⃣ Can I predict other moving averages?

Currently, the script is set to 150-day MA, but you can modify predict_ma_hit() to use custom time frames. The necessary format is shown in the 50-day MA, which is currently calculated but unused.

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🤝 Contributing

Feel free to submit pull requests or open issues for improvements.

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📝 License

This project is open-source under the MIT License.