Trading Signals Explained
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Checklist

The evaluation checklist

When you are ready to judge a real service, this is where the literacy becomes practical. Three pages, each a set of questions you can run before any money is at risk.

Three practical screens

What the checklist is sorting for

You rarely compare two near-identical services. In practice you are deciding whether one service has earned your trust, and the honest way to decide is to ask whether its claims can be checked rather than how confident they sound. The checklist turns that into concrete questions: can a past call be confirmed against a public timestamp, is the win rate shown with its full count, and do the results carry the fingerprints of fabrication or curve fitting.

The grid below puts the idea into a single picture. It sorts the kinds of “proof” a service might show by how much of the checklist each one can actually satisfy. The lower a row sits, the harder its evidence is to fake — and the single row that answers every column is a record pinned in public ahead of its outcome.

Which kinds of proof actually hold upA grid scoring five kinds of evidence against five questions a learner should ask: was it time-stamped, are the losing calls shown, is each call graded, can a stranger re-check it, and is a named author behind it. Screenshots, chat scrollbacks and win-rate banners score almost nothing; a platform leaderboard scores partly; an on-chain signal record scores on all five.Time-stampedLosers shownGradedRe-checkableNamed authorA cropped screenshotA chat-room scrollbackA win-rate bannerA platform leaderboardAn on-chain signal record
Read each row left to right. The more boxes a kind of proof can fill, the harder it is to fake. ✓ means the evidence usually clears that question; ✗ means it usually cannot.
Checklist

Verify a track record

The four-step screen to run before you trust any record.

Checklist

How to read a win rate

Why a percentage needs a denominator, and what reward-to-risk adds.

Checklist

Spotting fake results

The patterns that mark fabricated, curve-fit or unverifiable results.

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