Condor – S&P 500 Forecasting

Overview: Condor is a specialized machine learning system designed for 15-minute S&P 500 market prediction, specifically optimized for Iron Condor options trading strategies. The system identifies low-volatility market conditions where the underlying asset trades within a predicted range, enabling profitable options spreads when markets move sideways.

🕰️ 15-Minute Forecasting: The system generates precise 15-minute ahead predictions for S&P 500 price movements, optimized for short-term options trading windows and quick decision-making.

🦅 Iron Condor Strategy: Implements the Iron Condor options strategy, which profits when the underlying asset (S&P 500) remains within a predicted price range. This strategy benefits from low volatility and time decay, generating returns even when markets move sideways.

📊 Volatility Detection: Advanced algorithms identify low-volatility periods where the market is likely to remain range-bound, providing optimal entry points for Iron Condor positions.

🧠 Secret Algorithms: Proprietary machine learning models analyze market microstructure and order flow patterns. Due to NDA restrictions, specific algorithmic implementations cannot be disclosed.

⚖️ Risk Management: Integrated position sizing and risk controls specifically designed for options spreads, with automatic exit signals when market conditions shift outside predicted parameters.

Options-Focused Features: Custom indicators specifically designed for Iron Condor identification including implied volatility rank, option flow analysis, and market maker positioning patterns.

15-Minute Backtesting: High-frequency validation framework testing Iron Condor performance across thousands of 15-minute intervals, measuring profit/loss from time decay and volatility changes.

Spread Optimization: Algorithms determine optimal strike prices and expiration dates for Iron Condor spreads based on predicted price ranges and volatility forecasts.

Real-time Execution: Low-latency data processing pipeline capable of generating predictions and trade signals within seconds of market data updates.

Iron Condor Success Rate: Achieved 72% profitable Iron Condor trades during low-volatility periods, with the system correctly identifying range-bound market conditions in 15-minute windows.

Range Prediction Accuracy: 15-minute price forecasts maintained 78% accuracy for staying within predicted ranges, enabling consistent time decay profits from options spreads.

Volatility Regime Detection: Successfully filtered out high-volatility periods that would be detrimental to Iron Condor strategies, improving overall strategy performance and reducing losses.

Risk-Adjusted Performance: Generated consistent returns during sideways market movements while avoiding significant losses during trending periods through intelligent trade filtering.

Private Repository: Due to the proprietary nature of the trading algorithms and the potential for market impact, the full codebase remains private.

Research Focus: This project is primarily academic in nature, designed to explore the intersection of machine learning and financial markets rather than for commercial trading.

Regulatory Compliance: All research conducted in accordance with academic standards and applicable financial regulations.

Technology Stack: Python, LSTM Networks, Machine Learning Libraries, Real-time Data Processing, Database Systems, Options Analysis Tools

Repository: github.com/MuratAitov/condor (Private)