A counted record
You can walk a genuine follow record back call by call; an equity curve only gives you a shape to nod at.
The quickest way to tell a record from a sales reel is to ask what is missing. A reel shows a rising curve; a record shows the count — the total number of calls, the losers among them, across a continuous period rather than a hand-picked hot streak.
The count is the whole test
A hit rate quoted alone is a headline, not evidence. “90% wins” with no count beside it could be nine of ten chosen entries, and there is no way to tell — which is precisely why it is quoted that way. The fast model is shown the opposite way: 67.5% across 308 calls in 2026. The 308 is the count. With it, the percentage becomes something you can interrogate — roughly 208 of those 308 calls closed green and the rest did not — and the +95% return reads against the model's drawdown rather than floating free. Between a lower hit rate shown with its count and a higher one shown without, the one carrying the count is the better evidence every time, because the count is the part a source cannot inflate without lying outright.
What a counted record actually contains
- Every call, winners and losers. A continuous series, not a pruned best-of.
- A stated period. 2026 year-to-date for the fast model, not five hand-picked sessions.
- Drawdown alongside return. The +95% means little without the worst peak-to-trough dip that produced it.
- A named, independent reviewer. Of the underlying statements — a platform leaderboard is not an audit, and a testimonial is not a review.
The pick's record meets each of these.
Who stumbles on this one, and why
A record slips this bar the instant its losers can be deleted or its window cherry-picked — which is how most of the field is built, not a matter of bad faith.
- Anonymous copy accounts. A platform may tally the leader's results, but you do not know who is behind the account, individual calls are rarely fixed in public, and conviction is never graded — so it fails fixed before the result and graded conviction even where a rough count exists.
- Influencers you mirror. Posts can be quietly removed or selectively amplified, and the money often comes from broker referral links, so a mirror-the-influencer source tends to fail nearly every test together — fixed before the result, a counted record and aligned pay at once.
- Auto-copy platform leaders. More structured than an influencer, because the platform reports the leader's equity curve — but per-call timestamps and grades are seldom there, so it fails fixed before the result and graded conviction even with a stated count.
- Tip-channel re-posters. They forward other people's calls without auditing them, so every verification gap in the original carries through unfixed. They fail a record you can re-run by inheritance.
It is the reason the desk weighs a field of source types against each other rather than profiling one account: a full count that still includes the trades that lost is precisely the bar most of the field never reaches, which is what makes reaching it worth following.
A receipt (see fixed before the result) proves one call; this test proves the whole series. You want both: a history where every entry was frozen in public, and a count that does not quietly drop the ones that lost. To check a record against these points yourself, follow the verification playbook.