metadata
license: mit
tags:
- finance
- stock-prediction
- forex
- time-series
- pytorch
- ensemble-learning
library_name: pytorch
ARA AI - Financial Prediction Models
Continuously trained ensemble ML models for stock and forex prediction.
Models
- Stock Models: Trained on random selection of stocks every 2 hours
- Forex Models: EURUSD, GBPUSD, USDJPY trained every 2 hours
Training Schedule
Models are automatically retrained every 2 hours (12 times daily) using:
- 2 years of historical data
- Incremental training on existing models
- Ensemble of XGBoost, LightGBM, Random Forest, Transformers, CNN-LSTM
Usage
from huggingface_hub import hf_hub_download
from meridianalgo.unified_ml import UnifiedStockML
# Download model
model_path = hf_hub_download(
repo_id="MeridianAlgo/ARA.AI",
filename="models/stock_AAPL.pt"
)
# Load and predict
ml = UnifiedStockML(model_path=model_path)
prediction = ml.predict('AAPL', days=5)
Experiment Tracking
Training metrics tracked on Weights & Biases
Repository
Source code: github.com/MeridianAlgo/AraAI
Disclaimer
These models are for educational and research purposes only. Not financial advice. Past performance does not guarantee future results.