Public accountability

Hard proof for anyone evaluating the system.

This page exists so serious observers can judge Kahramana without logging in. It uses tracked public proof records, visible losses, explicit sample size, and public classification rules.

Integrity-verified public proof. Losses visible. Methodology public.

Integrity-verified signalsLosses publicly trackedNo post-publication edits

Time rangeJudge the sample size in context. Smaller windows are current but naturally thinner.

Total signals tracked5000

Win rate0%

Loss rate0%

Neutral outcomes518

Pending3728

Insufficient data754

Average move up+0.13%

Average move downCollecting

Outcome counts0 wins · 0 losses · 518 neutral

Pending / incomplete3728 pending · 754 insufficient

Public accountability, not performance marketing

This surface exists so serious observers can judge the system with real tracked data, clear loss visibility, and visible sample size.

Losses stay visible beside wins and neutral outcomes

Sample size remains visible before anyone reads into the win rate

Classification rules are public and consistent across proof pages

No post-publication edits can rewrite the record later

Classification rules

How outcomes are classified

Each proof is classified from its latest completed tracked checkpoint in descending window order: 24h, 4h, 30m, then 5m. If no checkpoint is complete, it stays pending or insufficient data.

Decision impact

What the postures actually changed

Blocked protected0

Favorable follow-through0

Cautionary setups518

Still pending3728

How to read this

Transparency over performance theater

Public performance is based on stored tracked outcome checkpoints attached to published proof records. Losses, pending states, and incomplete data are shown explicitly. It is not a promise of future returns, and it is not a substitute for your own risk controls.

Use public performance for accountability, live cases for current tracking, and proof pages for the full posture and decision record.