Ara AI (ARA.AI) - Financial Prediction Engine

Overview

Ara AI is an advanced financial prediction system designed for multi-asset forecasting. This repository contains the latest weights for the ensemble models trained on market data.

Model Architecture

The system employs a sophisticated ensemble architecture:

• Feature Extraction: 44+ technical indicators (RSI, MACD, Bollinger Bands, ATR, etc.)
• Neural Core: A large PyTorch model with 4M+ parameters
• Attention Mechanism: Multi-head attention for identifying key temporal features
• Ensemble Heads: Specialized prediction heads inspired by XGBoost, LightGBM, Random Forest, and Gradient Boosting
• Dynamic Weighting: Softmax-based attention weights for weighted prediction averaging

Latest Training Stats (2026-01-10 21:11:54)

• Last Trained Symbol: Initialization
• Validation Accuracy: N/A%
• Validation Loss (MSE): N/A
• Total Unique Symbols in Training History: 0

Continuous Training

This model is part of a self-evolving system. It is retrained daily on a rotation of 6,800+ tickers and 20+ forex pairs to maintain high accuracy across different market conditions and time horizons (1D, 1H).

Usage

Loading the model

import torch
from meridianalgo.unified_ml import UnifiedStockML

# Download the model file from this repo first
ml = UnifiedStockML(model_path="stock_AAPL.pt")
prediction = ml.predict_ultimate("AAPL", days=5)
print(prediction)

Disclaimer

Not Financial Advice. This software is for educational purposes only. Trading involves significant risk. The authors are not responsible for any financial losses incurred.