A real-time Machine Learning powered trading assistant for Gold and Silver markets. This project provides live price tracking, next-day predictions, trading recommendations, and model evaluation metrics — all in an interactive dashboard built using Streamlit.
- 📈 Live Gold/Silver price tracking
- 🔮 Next-day price prediction
- 🎯 Confidence score of prediction
- 📉 Interactive historical price charts
- BUY 🟢 / SELL 🔴 signals based on ML model
- Model confidence indicator
- MAE (Mean Absolute Error)
- RMSE (Root Mean Squared Error)
- R² Score
- Precision, Recall, F1 Score
- Moving Average (MA7, MA30)
- RSI (Relative Strength Index)
- Trend Strength
- Volatility
- Convert gold weight (grams) → price
- Based on latest live price
- Python
- Streamlit
- Pandas
- NumPy
- Scikit-learn
- Matplotlib / Plotly
The model is trained on historical gold price data and leverages:
- Time-series feature engineering
- Technical indicators (MA, RSI, etc.)
- Regression + classification approach
This project is for educational purposes only and does not constitute financial advice.
Sanjay
Machine Learning & Trading Enthusiast
If you like this project, give it a ⭐ on GitHub!