FundOracle - Find undervalued ETFs with AI

## How It Works ### Price Prediction - A state-of-the-art machine learning algorithm analyzes each fund to predict its future average price 5 days ahead - The system utilizes historical data spanning 20 years and employs neural networks specifically trained for each fund - The algorithm has demonstrated high accuracy, with predictions typically within 1% of actual prices 95% of the time ### Value Metric The app generates a normalized metric (0-100%) to evaluate fund pricing: - Lower percentages (closer to 0%) indicate the fund is underpriced, suggesting potential buying opportunities - Higher percentages (closer to 100%) indicate the fund is overpriced, suggesting potential selling opportunities ## Trading ### Buy Opportunities When the Value Metric indicates a fund is underpriced, users may consider it a potential buying opportunity. ### Sell Recommendations Users can consider selling their positions based on several factors: 1. Achievement of desired profit targets 2. Value Metric showing "Overpriced" status 3. Price falling below purchase point (for risk-averse investors) 4. Any other personal investment criteria *Note: All recommendations are for educational purposes only. Users should consult financial advisors for professional guidance.* ## Features ### Notifications - The app provides real-time notifications for buy/sell opportunities - Users must enable notifications in their device settings to receive alerts ### Fund Access - Basic version includes access to selected funds - Premium subscription ("Pro" version) unlocks access to all funds - Users can upgrade through the "Unlock Pro" button in the app ## Validation & Testing - The algorithm has been extensively backtested using data from recent years - Each fund has its own dedicated neural network - Users can verify algorithm effectiveness by reviewing past two months of buy/sell signals for each fund - Historical data shows the algorithm successfully identifies local price minima and maxima