GodFin
Trade Smarter with Neural Intelligence
GodFin combines LSTM neural networks, real-time sentiment analysis, and institutional-grade risk management to find trades humans miss.
Encoder-decoder neural network with attention mechanism trained on 5 years of market data. Multi-horizon forecasting for 1, 2, and 5-day predictions.
Aggregates sentiment signals from Reddit, financial news, Google Trends, and social media. Real-time composite scoring weighted into every decision.
Circuit breakers, position sizing limits, stop-loss automation, and daily drawdown protection. No single trade risks more than 2% of capital.
Direct brokerage connection for automated paper trading and live trading. Signals become orders with zero manual intervention.
Stocks (AAPL, MSFT, NVDA, TSLA, META, AMZN, GOOGL) and crypto (BTC, ETH, SOL). One engine, multiple markets.
Z-score normalization against rolling prediction baselines eliminates systematic model bias. MC-Dropout variance estimation for confidence scoring.
Pulls 5 years of OHLCV data, computes 25+ technical indicators (RSI, MACD, Bollinger Bands, VWAP, Volume Profile), and engineers features for the neural network.
LSTM encoder-decoder with attention processes 60-day lookback windows. MC-Dropout forward passes estimate prediction confidence. Output: directional score + variance.
Composite sentiment from Reddit, Yahoo Finance, FinViz news, and Google Trends gets weighted 30% into the final decision alongside 50% LSTM direction and 20% confidence.
Combined score maps to STRONG_BUY / BUY / HOLD / SELL / STRONG_SELL. Position sizing, stop-loss, and take-profit calculated automatically. Orders sent to Alpaca.
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