📈 Stock Price Predictor App

🚀 Predict future stock prices with AI! This project uses deep learning (LSTM) to analyze historical stock data and forecast future trends. With Streamlit & Yahoo Finance, you can interactively predict stock prices. Plus, it runs seamlessly on Google Colab—no powerful hardware needed! 🎯

---

🚀 Features

✅ Real-time stock data fetching from Yahoo Finance 📊
✅ Deep Learning (LSTM) based stock price prediction 🤖
✅ Interactive moving average (100, 200, 250 days) visualization 📈
✅ Easy deployment & access with Streamlit 🌐
✅ Google Colab support—run it anywhere, no setup required! 💻

---

📌 Steps to Run the Project

1️⃣ Upload Files to Google Colab 📂

Follow these steps to upload the required files:

1. Open Google Colab (Click Here)
2. Click on the folder icon 📁 in the left sidebar
3. Click the Upload button ⬆️ and select these two files:
   • stock_price.ipynb (Jupyter Notebook)
   • web_stock_price_predictor.py (Streamlit App)

2️⃣ Run the Jupyter Notebook ▶️

Just click on Run All Cells in stock_price.ipynb. The model will train, and the server will start.

3️⃣ Get Your App Link 🔗

Once the notebook runs successfully, you’ll see a Streamlit App link in the last output cell. Click on it! 🎯

4️⃣ Enter the Password 🔑

The app will ask for a password. Run the command below in Cell 2 of the notebook:

!wget -q -O - ipv4.icanhazip.com

Copy the output and enter it as your password.

5️⃣ Start Using Your Stock Predictor 📈

You’re in! Congrats! 🎉

---

📊 How to Use the App

🔍 Step 1: Find Stock Ticker Symbol

Go to Yahoo Finance 🔗 and search for a stock. Find the short form (ticker) inside parentheses:

• Example: Microsoft Corporation (MSFT), Apple (AAPL), Tesla (TSLA).

⌨️ Step 2: Enter Stock Code

In the app, type the company code (e.g., MSFT for Microsoft) and hit Enter! 🚀

🖨️ Step 3: Print the Results

Click on the three dots in the top-right corner of the app and select Print to save your predictions. 🖨️

---

🔧 Installation & Running Locally (Optional)

Want to run it on your local machine instead of Google Colab? Follow these steps:

1️⃣ Clone the Repository

git clone https://github.com/your-username/stock-price-predictor.git
cd stock-price-predictor

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the App

streamlit run web_stock_price_predictor.py

---

🎯 Technologies Used

• Python 🐍
• Streamlit 🚀
• Keras / TensorFlow 🧠
• Yahoo Finance API 📊
• Pandas, NumPy, Matplotlib 🔬

---

🤝 Contributing

Love this project? Fork it, improve it, and send a Pull Request! 🚀

---

📧 Contact

For questions or feedback, open a GitHub Issue or reach out via email. 💌

---

🎯 Start predicting stock trends with AI! Happy Trading! 💹📊