Fleet ยท Copy Scout ยท How it works
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Copy ScoutPolymarket skill-vs-luck screener ยท learn page

A copy-trade screener for Polymarket. This page teaches what it does, how it tells a genuinely skilled leader apart from a merely lucky one, what the "delay tax" of copying is โ€” and the honest story of why most impressive-looking leaders never make the shortlist.

PAPER TRADING Skill, not vibes Out-of-sample tested Delay tax measured Not financial advice

What the bot does

Copy Scout watches the public Polymarket leaderboards and the on-chain activity of top wallets, and asks one hard question about each: is this person actually skilled, or did they just get lucky? Only the ones that survive that question โ€” and a second test for whether they're even copyable โ€” make the shortlist it paper-mirrors.

Its value is screening, not signal-chasing. Anyone can look at a leaderboard and copy whoever's on top. That's exactly the mistake this bot exists to avoid. It does two things almost no copy-trader does:

  • It separates skill from luck statistically โ€” using conservative win-rate bounds, consistency tests, and out-of-sample checks on events the leader hadn't traded when we started evaluating them.
  • It measures the "delay tax" โ€” the cost of copying after a leader trades, when the price has already moved โ€” and subtracts it before deciding a leader is worth following at all.
The one-line version It's a leader-quality filter. The product isn't "copy trades" โ€” it's a short, brutal list of leaders who are statistically skilled, hold up out-of-sample, and are still worth copying after you pay the tax of being late.

The market it plays

Polymarket is a prediction market where people trade shares in the outcomes of real-world events. Because every wallet's positions and results are on-chain and public, there are leaderboards ranking traders by profit โ€” and a natural temptation to just mirror whoever's winning.

That temptation is a trap, for two reasons this bot is built around:

  • Leaderboards only show survivors. You see the wallets that won. You don't see the identical-looking wallets that made the same kind of bets and blew up. Ranking on visible profit alone is survivorship bias in its purest form.
  • You always copy late. By the time a leader's trade is visible on-chain and you react, the price has moved against you. A leader can be genuinely great and still not worth copying once you account for how late you arrive.

The concepts, in plain English

Four ideas carry the whole strategy.

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Skill vs luck

Over a short run, a coin-flipper can look like a genius. The question is whether a track record is more than could happen by chance. We use conservative statistics โ€” not raw profit โ€” to insist a leader's edge is real before trusting it.

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The delay tax

You copy after the leader trades, so the price has already moved in their favor and against yours. The gap between their fill and the fill you could realistically get is a real, measurable cost. Pay it before you count any "edge."

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Survivorship bias

The leaderboard is a graveyard with the headstones hidden. It shows winners and quietly omits the equally-confident traders who went to zero. Correct for the missing losers, or you'll systematically overrate everyone.

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Out-of-sample testing

A track record you tuned on is easy to fit. The real test is whether a leader keeps winning on fresh events they hadn't touched when you started watching. In-sample brilliance that collapses out-of-sample is just overfitting.

Skill vs luck: the brutal filter

Here's the uncomfortable research finding that drives this whole bot: of the traders who look like winners on a prediction-market leaderboard, most aren't skilled โ€” they're lucky, and they regress to the mean the moment you test them on fresh events. Only a very small slice are genuinely, repeatably skilled.

So the screen has to be harsh by design. A leader has to clear a conservative win rate (we deliberately assume their true rate is at the pessimistic end of what their sample supports, not the flattering point estimate), show consistency rather than one lucky whale of a trade, persist across many weeks, and then โ€” the real gate โ€” keep performing on out-of-sample events we held back. Fail any of these and you don't get copied, no matter how green the leaderboard looks.

Why so strict? If only a tiny fraction of apparent winners are actually skilled, a lax screen will fill your shortlist with lucky traders who are about to regress โ€” and you'll copy them right as their luck runs out. A brutal screen that rejects most candidates is the only honest response to a low base rate of real skill.

The delay tax

Even a genuinely skilled leader might not be worth copying โ€” because you can't be them, you can only follow them, and following is late. When their trade hits the chain and you react, the price they got is gone. The move you're trying to capture has already partly happened.

The cost of arriving late โ€” illustrative
Leader fillsgood price
โˆ’ delay tax
You fillworse price

We measure that gap โ€” the slippage between the leader's fill and the fill we could realistically achieve โ€” against a fair benchmark, and we subtract it before crediting a leader with any copyable edge. The conclusion is often counterintuitive: a leader can be provably skilled and still uncopyable, because their edge is smaller than the tax you pay to follow them late. Skill is necessary. It isn't sufficient.

Why we trust the delay number most Paper copies in the simulator fill near the leader's price and settle optimistically, so the copy P&L is best read as an upper bound. The number we actually trust is the measured delay and the count of trades that moved too fast for us to catch at all. Those frictions are real even when the paper profit looks flattering.

Why it's disciplined

The discipline is in refusing to trust the easy, flattering numbers:

  • Profit is never enough. A leader must pass a statistical skill test, not just sit high on a leaderboard.
  • Out-of-sample or it doesn't count. Performance on events used to evaluate a leader is treated as unproven until it repeats on fresh ones.
  • Survivorship is corrected, not ignored. The scorer accounts for the losers the leaderboard doesn't show before ranking anyone.
  • The delay tax is subtracted, not assumed away. Copyability is measured net of the cost of being late.
  • Leaders are demoted mechanically when their out-of-sample significance decays โ€” no loyalty, no "they'll bounce back."

The honesty story

The naive way to build a copy-trader is one line: find the #1 wallet on the leaderboard and mirror it. On paper that looks like free alpha โ€” someone else does the work, you clone their profit. We built the honest version, and the honest version kills most of that promise.

When we required real statistical skill instead of raw profit, most leaderboard stars fell out โ€” they were lucky, and they regressed on fresh events. Of the few who were genuinely skilled, several fell out at the next gate: once we measured the delay tax, their real edge was smaller than the cost of following them late. Skilled but uncopyable.

Naive โ€” mirror the leaderboard #1
"free alpha"
Rank by visible profit, copy the top wallet, assume you get their price. Survivorship bias plus a hidden delay tax โ€” a mirage.
Honest โ€” skill + copyable, net of delay
a short list
Demand statistical skill, test out-of-sample, correct survivorship, subtract the delay tax. Most candidates fail. What's left is small โ€” and real.

The lesson mirrors the rest of the fleet: the naive edge evaporated the moment we modeled reality. Copying isn't free, leaderboards lie by omission, and being late has a price. What survives all of that is a genuinely useful thing โ€” a short, honest shortlist of leaders worth following โ€” but it's a fraction of what the naive version pretended to offer. We'd rather show you the real fraction.

What stays private (and why)

We'll explain every concept above in as much detail as you like. We won't publish the exact machinery, because the machinery is the edge โ€” a public screen is a screen everyone games.

๐Ÿ”’Kept behind the curtain
  • The copyability scoring weights and how the components combine
  • The disqualification thresholds (minimum trades, concentration, hold-time rules)
  • The exact design of the skill test and the significance bar it must clear
  • The survivorship correction method and the hold-viability curve
  • Which specific leaders and markets are currently live

Leaders are shown anonymized and on a delay so followers can't crowd the trade, and the screen's internals stay private so it can't be reverse-engineered and defeated. "We test for skill, correct for survivorship, and subtract a delay tax" is safe to say. The thresholds and test design that make it work are not.

See it live

The public dashboard reads the exact JSON the bot writes โ€” the skill screen, the measured delay and miss rate, and the copy P&L clearly labeled as an upper bound. No edited screenshots, no cherry-picked leaders.