PRODUCT · HEALTH CHECKS
The vetting panel that argues with you
Nine automated checks cross-examine your own track record — the same checklist that exposes fake signal pages, pointed at your account.
2026-10-08 · SIDDANI BLOG
Every trading account has a story, and most of the time the story is flattering. Siddani's Deep Analysis ships a panel that does something uncomfortable: it cross-examines your own numbers with the same checklist we use to expose fake signal pages on the internet — automated, nine signals, run every time your data updates.
The nine signals
Sample size (is there enough record to say anything at all), activity ratio (do the metrics predate a dormant period), profit-factor band (sustained 3+ is usually martingale or curve-fit), recovery factor, Sharpe-versus-CAGR coherence, win/loss shape (winning often and small while losing rarely and big is the martingale fingerprint), sizing after losses, streak dependency, and the equity-versus-balance drawdown gap.Why it matters more on your own account
It is easy to be skeptical of strangers. The value here is the machine being skeptical of you — politely, numerically, every sync. A flag is a question, not a verdict: the panel marks it, explains what the signal usually means, and lets the record grow.The MAE/MFE pair
Deep Analysis also measures how well you enter and exit: maximum adverse excursion (how far a trade went against you) versus maximum favorable excursion (how far it ran your way), both R-normalized from real venue candles. Entry and exit gauges turn thousands of invisible decisions into two numbers you can actually improve.The honesty rule. Every check reports what it saw, with pass, watch and flag states. A small sample never produces a confident verdict — the panel says so instead of pretending.
The same checklist that exposes fake signal pages runs on your own record — flags included, ego excluded. That is what source-verified data is for.