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---
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.
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