A Skeptic's Checklist for Paid Trading Signals

The internet is full of people who will sell you their picks. Almost all of them fail a serious audit — not because the whole category is fraudulent, but because most operators quietly rely on the fact that buyers never check. This post hands you the checklist. Apply it to every paid signal service you are tempted by. Apply it to us. If a service cannot survive these questions, keep your money.

We are writing this even though we run a paid research service, because the same standards that expose the shills are the ones we hold ourselves to. The honest move is to teach you to be adversarial and then invite the scrutiny.

1. Were the calls timestamped before the outcome?

This is the first filter and it eliminates most of the field. A prediction is only worth anything if it was public before the event resolved. A screenshot taken afterward proves nothing — anyone can post "we called it" once the answer is known.

What to demand: a public, timestamped log — on-chain fills, a dated public post, a channel where calls appear and cannot be quietly edited after the fact. If the "proof" is a gallery of after-the-fact winners, walk away.

Our standard: every call is logged and timestamped before the market settles. That is the whole point of a public record.

2. Can you see the denominator — including the losers?

"6 for 6 today." "Up 900%." These are numerators without denominators. Six out of how many? Up from what, and after how many losses?

A real track record shows the full sample: total calls, wins and misses, no cherry-picking. Any service that only ever shows you winners is not showing you a track record — it is showing you a highlight reel, and highlight reels are free to manufacture.

What to demand: the full count, with losses visible. Ask directly: "What's your record on everything, not just the wins?" The reaction to that question tells you most of what you need to know.

Our standard: the public record includes the misses. Honesty about losses is not a weakness to hide; it is the only thing that makes the wins mean anything.

3. Do they state the sample size — and its limits — out loud?

A hit rate on a handful of calls is mostly luck. Ten-for-ten proves nothing; a coin can do that. Real statistical confidence needs a meaningful denominator, and even then the honest operator flags how much uncertainty remains.

What to demand: an explicit sample size, and an operator who volunteers its limitations rather than hiding them behind a big percentage.

Our standard: we report 94.9% settled-call accuracy on n=59, and we say "n=59, small sample" every single time — because 59 is small, and you should treat the figure as consistent with skill, not proof of it, until the denominator grows. An operator who tells you their sample is small is doing you a favor most will not. We explain the underlying statistics in Calibration and Brier Scores.

4. Is there a calibration metric, not just a hit rate?

Hit rate is gameable — only ever call 95% locks and you will look brilliant while adding no value. Calibration and the Brier score measure something harder to fake: was your confidence honest? Did your 70% calls come true about 70% of the time?

What to demand: a Brier score or a calibration/reliability plot alongside the accuracy number. Its absence suggests the operator either does not understand forecasting or does not want you looking too closely.

Our standard: Brier score 0.058, published beside the accuracy, so the confidence can be audited, not just the batting average.

5. Is the benchmark something you can independently verify?

Watch how a service frames its edge. "We beat the market" against a number only they can see is meaningless. A credible benchmark is one you can check without trusting them at all.

What to demand: a benchmark anchored to public, auditable data. On-chain records, public indices, verifiable third-party accounts — anything you can pull yourself.

Our standard: we measure against a public, on-chain account, @car (+$1.29M over 582 days, ~93%/yr) — a figure anyone can verify on the blockchain rather than take on faith. If a service benchmarks against something unverifiable, that is the tell.

6. Do they promise returns — or describe them honestly?

This one is a hard line. Nobody can promise you a return on a probabilistic activity. Any service that guarantees profits, quotes a future percentage as a certainty, or leans on "you'll make X per month" language is either naive about variance or deliberately misleading. Both should end the conversation.

What to demand: "illustrative," "target," "past results," "not a promise" — the language of people who respect that the future is uncertain. Guarantees are a red flag, not a selling point.

Our standard: every figure is illustrative of past settled calls, never a promise of future results, and nothing we publish is investment advice. A free membership during our testing period is a gift, not a guaranteed payoff — variance is real, and any single call can lose.

7. Do they leak or oversell the "secret sauce"?

There is a tension worth naming. A serious operator will not hand you their exact selection process — that is the intellectual property you are paying for. But there is a difference between protecting a method and dressing up a nonexistent one in mystique. Be wary of both: the service that reveals nothing and offers no verifiable results, and the service that drowns you in impressive-sounding jargon signifying nothing.

What to demand: transparency where it counts (the results, verifiably) and discretion where it is legitimate (the method). You should be able to audit the outcomes even if you cannot see the recipe.

Our standard: the results are fully public and auditable; the selection process is not disclosed, because that is what the service is. We would rather you verify the outcomes than trust the story.

Now use it on us

That is the checklist. It is deliberately hostile, because your money deserves a hostile filter. Run every one of these seven questions against any service asking for a subscription — and run them against Polymarket Select. Our public dashboard exists precisely so you can be adversarial with it before you trust a single call. If we ever fail one of these, hold us to it.

Pair this with How to Size Bets You Can Survive — because even a genuinely good signal will ruin you if you size it recklessly. The service can be honest and you can still blow up on your own sizing. Both halves matter.

Kick the tires with zero risk. We are in an early testing period and giving free memberships to early testers — no card, no commitment, cancel anytime. Join our Discord and DM the founder (or open a ticket) to claim: https://discord.gg/C6hX9w94Ej. Or just audit the public dashboard first — we would rather you verify than trust.

Independent research service. Not affiliated with Polymarket. Illustrative of past results, not a promise. Not investment advice.