Gold Price Prediction with LSTM It predicts daily gold prices using a 2-layer LSTM model in PyTorch.
Overview Data: MacroTrends gold prices (1968–2024), repo includes only sample (2023–2024). Preprocessing: MinMax scaling, 60-day input windows. Model: LSTM with dropout, trained with Adam + MSE. Output: training loss curve + predicted vs. actual gold prices.
Setup: python3 -m venv myenv, source myenv/bin/activate, pip install -r requirements.txt
Run: python train-predict-daily-gold-prices.py, python pre_test.py
