From signal to settlement —
every step engineered.
LSTM neural networks forecast what volatility will actually be over the coming weeks. When the market's implied price runs meaningfully above our forecast — with statistical confidence — a signal fires. Pattern recognition models trained on years of intraday data filter for the highest-probability windows.
Every candidate trade runs through Monte Carlo simulation across thousands of scenarios — volatility spikes, correlation shocks, regime breaks. We model the full distribution of outcomes, not a single expected value. Position size is derived mathematically from risk budget. If the numbers don't clear the bar, the trade doesn't happen.
Trades are placed as defined-risk structures with known maximum loss. Our systematic activity — premium sales, delta hedges, rolls, spread adjustments — generates consistent order flow, creating a deliberate, model-driven footprint across the derivatives landscape rather than reactive one-off trades.
A continuous monitoring layer tracks every Greek, every position, every threshold in real time. Drawdown limits are hard-coded, not suggested. When regime classifiers detect a shift — trending, mean-reverting, crisis — sizing and structure adapt automatically. After close, every trade feeds attribution analysis back into the models. The loop never ends.