Trying to Make a Stock price prediction model using Neural Network in Python
update
π Just Launched: My Stock Price Prediction Web App! π
I'm excited to share a project I've been working on: a Stock Price Prediction model using LSTM (Long Short-Term Memory) neural networks β now deployed and live on Streamlit! π
π Try it here: https://stock-price-prediction-a1.streamlit.app
π What it does:
Predicts future stock prices using historical data from the last 5 years
Implements technical indicators like SMA, EMA, RSI, Bollinger Bands
Visualizes predictions interactively with Plotly
Built using Python, TensorFlow, yFinance, and Streamlit
π§ Tech Stack:
Python, LSTM, TensorFlow, yFinance, Pandas, Plotly, Streamlit
β¨ This project helped me dive deeper into time series analysis, model training, and deploying ML models as interactive web apps. Big thanks to the amazing open-source community that makes this possible.
Would love to hear your thoughts or suggestions for improvement!
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