About OctoQuant Analytics

OctoQuant Analytics is a research workbench for systematic index credit-spread strategies on the S&P 500 (SPX) and Dow Jones (DJX). Instead of eyeballing a chart and guessing where to sell premium, you describe a rule set once — the volatility regime you are willing to trade, the delta of the short strike, the width of the spread, the profit target and the stop — and the app replays that rule set across a year of simulated index paths. It then reports the numbers that actually decide whether a strategy survives: expectancy, win rate, maximum drawdown, the equity curve and a month-by-month heatmap of returns.

The purpose is to make the unglamorous part of options trading measurable. A short-premium strategy can look profitable on a chart and still be a losing proposition once a handful of stop-outs are counted honestly. Every backtest here is generated from the same rules every time, so two configurations can be compared side by side and the difference in performance can be attributed to a rule rather than to luck. Because the market history is simulated, results are a study of how a rule set behaves in a controlled regime — not a forecast of future index returns.

It is built for self-directed options traders and quantitative hobbyists who already understand credit spreads and want to test variations quickly on a phone or a laptop, without wiring up a data pipeline first. The interface is mobile-first: the strategy panel collapses, the trade log becomes a readable card list, and saved runs live in one place for comparison.

OctoQuant Analytics is built and maintained by the OctoQuant Analytics team, an independent group working on systematic options research tooling. Nothing in the app is investment advice; it is an analysis and simulation tool, and any strategy you study here should be validated on your own terms before capital is involved.