kingzarckier/predictionFx

Forex Prediction Model

This model predicts XAU/USD price movements using LSTM.

Model Details

• Architecture: LSTM with 2 layers
• Hidden Size: 64
• Context Length: 60 minutes
• Prediction Length: 1 minute(s) ahead

Usage

import torch
import pickle
from your_model_file import ForexLSTM

# Load model
model = ForexLSTM(**config)
model.load_state_dict(torch.load('model.pth'))
model.eval()

# Load scaler
with open('scaler.pkl', 'rb') as f:
    scaler = pickle.load(f)

# Make prediction
# scaled_input = scaler.transform(your_input)
# prediction = model(torch.tensor(scaled_input).unsqueeze(0))
# prediction = scaler.inverse_transform(prediction.detach().numpy())