---
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

```python
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](https://wandb.ai)

## Repository

Source code: [github.com/MeridianAlgo/AraAI](https://github.com/MeridianAlgo/AraAI)

## Disclaimer

These models are for educational and research purposes only. Not financial advice.
Past performance does not guarantee future results.