hriday-goyal/stock-trend-visualizer

This app uses historical stock data and a trained LSTM model to forecast stock prices for multiple horizons (1, 7, 30, and 365 days).

📈 Stock Trend Visualizer

An interactive stock forecasting tool powered by machine learning. Predicts next-day, 7-day, 30-day, and 365-day closing prices using LSTM and technical indicators (SMA, EMA, RSI).

🌐 Live App

👉 Launch the App on Streamlit Cloud

🧠 Key Features

• —📊 Visualizes historical stock prices with SMA and EMA overlays
• —🤖 Predicts the next-day closing price using Linear Regression
• —📡 Fetches real-time data from Yahoo Finance (yfinance)
• —🚀 Deployed on Streamlit Cloud, no local setup required

🛠️ Tech Stack

📂 Repository Structure

stock-trend-visualizer/ ├── app/ │ ├── streamlitapp.py ← Main app script │ └── linearmodel.pkl ← Trained ML model ├── notebooks/ │ ├── 01datacollection.ipynb │ ├── 03modeltraining.ipynb ├── requirements.txt ├── README.md

🧪 To Run Locally

git clone https://github.com/hriday-goyal/stock-trend-visualizer
cd stock-trend-visualizer/app
pip install -r ../requirements.txt
streamlit run streamlit_app.py

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## About the Creator
Built by Hriday Goyal, an aspiring data scientist and high school innovator passionate about AI, finance, and real-world problem solving.