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Copying the top 100 traders on Kalshi and Polymarket at a flat stake

The top 100 traders by observed profit on Kalshi and Polymarket, each copied at a flat $100 per recorded entry over the 90 days to September 23, 2026 and held to resolution. No picking, no filtering, no exits. Frozen at export; downloadable as JSON and CSV.

See the resultsDownload JSON

Exported September 23, 2026. Method leaderboard-flat-copy-v1.

Traders in profit on a flat copy
85%

160 of 188 scored traders across both boards.

Still in profit after a 4% cost
135

Of 188 scored, with 4 points taken off every trader's return for slippage and fees.

Settled entries scored
695,701

Every recorded buy by a scored trader in the window, at $100 each.

Doubled the stake
21

Traders whose flat copy returned more than 100% on stake in the window.

Results by venue

Read each column as its own sample. The venues are collected differently and carry different size floors, so this is two studies side by side rather than a contest.

Kalshi

94 of 100 scored
In profit on a flat copy
84%

79 traders, 15 negative

Median return on stake
+18.3%

median win rate 74.9%

Gross paper PnL
+$3,506,723

on $27,750,900 staked

Doubled the stake
17

38 above 25%, 59 above 10%

Polymarket

94 of 100 scored
In profit on a flat copy
86%

81 traders, 13 negative

Median return on stake
+8.1%

median win rate 64.4%

Gross paper PnL
+$1,356,069

on $41,819,200 staked

Doubled the stake
4

30 above 25%, 44 above 10%

Window is the 90 days ending 2026-09-23 UTC. Unresolved entries are excluded from every count. Sells are never scored.
MeasureKalshiPolymarket
Traders on the board100100
Under 30 settled entries, not scored66
Scored9494
In profit, gross7981
In profit after a 4% cost per position7461
Return above 10%5944
Return above 25%3830
Return above 100%174
Median return on stake+18.3%+8.1%
Median win rate74.9%64.4%
Median settled entries per trader1,230538
Settled entries, scored traders277,509418,192
Stake deployed at $100 per entry$27,750,900$41,819,200
Gross paper PnL+$3,506,723+$1,356,069

Rank is not the signal

Traders in profit on a flat copy, in groups of ten by leaderboard rank. The bottom of each board looks like the top.

Rank 1 to 10
8/10
8/10
Rank 11 to 20
9/10
9/10
Rank 21 to 30
8/10
8/10
Rank 31 to 40
7/10
10/10
Rank 41 to 50
8/10
8/10
Rank 51 to 60
9/10
9/10
Rank 61 to 70
8/10
8/10
Rank 71 to 80
8/10
6/10
Rank 81 to 90
8/10
7/10
Rank 91 to 100
6/10
8/10
KalshiPolymarket

Where the returns land

Scored traders by return on stake over the window. Kalshi median +18.3%, Polymarket median +8.1%.

Under -10%
4
4
-10% to 0%
11
9
0% to 10%
20
37
10% to 25%
21
14
25% to 100%
21
26
Over 100%
17
4
KalshiPolymarket

Kalshi: the best flat-copy records

Return on stake at $100 per entry over 90 days, gross of fees and slippage. Each name opens the trader's public record, which runs the same simulation live.

The twelve highest returns among the 94 scored Kalshi traders.
TraderBoard rankSettledWin rateReturn on stake
timboslice003#108383.1%+781.9%
secure.tortoise3162#414580.0%+578.2%
lengthy.starfish#734785.1%+566.3%
marcosnflo#663786.5%+553.0%
deliberate.oriole2027#634789.4%+505.2%
daring.squid4395#405398.1%+504.8%
nxxght#466482.8%+424.0%
dubleu#297880.8%+416.9%
felipe985#794791.5%+345.8%
amiry786#519581.1%+256.6%
bomb.drive#4714291.5%+256.2%
drum.leave#995207.1%+234.7%

Polymarket: the best flat-copy records

Return on stake at $100 per entry over 90 days, gross of fees and slippage. Each name opens the trader's public record, which runs the same simulation live.

The twelve highest returns among the 94 scored Polymarket traders.
TraderBoard rankSettledWin rateReturn on stake
mentionmarket#279766.0%+173.7%
CDAP1#6942100.0%+147.5%
sainttroplay#318185.1%+104.6%
sorcerer.00#6010694.3%+101.7%
barndoor3#6837100.0%+77.6%
ethBELIVER#4711584.3%+65.6%
0xE30E…6B87#3413694.9%+64.6%
TheyAreTakingTheHobitsToIsengard#775198.0%+57.9%
Kulilun#958496.4%+54.1%
TheReturnOfDarthMaul#71,397100.0%+53.6%
esportsbetter1#8920773.9%+52.4%
ArmageddonRewardsBilly#2827685.9%+46.4%

The ones a flat copy loses on

The lowest returns on each board. A high win rate at a high price still loses, and a sizing edge does not survive being flattened.

KalshiRankSettledWin rateReturn
BitcoinTradingChallenge#5613,47342.1%-39.4%
pinasasuke#3625153.8%-28.0%
pogoburger#92,76562.1%-13.0%
pritz786#3510,43179.5%-11.1%
reach.draft#56,08881.1%-9.7%
PolymarketRankSettledWin rateReturn
cnyek#4515737.6%-30.4%
Tiger200#183847.4%-16.9%
vito3corleone#134047.4%-11.3%
ethanaz#4928053.6%-10.5%
pleaseplease123#752,06045.4%-9.3%

Reading the result

The instinct is that a profit leaderboard is full of market makers and lucky runs that cannot be followed. On this tape, most of both boards are ordinary directional traders whose entries keep resolving in their favour. 79 of 94 scored Kalshi traders and 81 of 94 Polymarket traders finished the window in profit at a flat $100 per entry, and 74 and 61 are still in profit after 4 points come off every return for slippage and fees.

The gap between the two medians is price, not skill. Polymarket leaders buy a lot of favourites at 80 cents and up, which win often and pay little, so the typical return sits in the 0 to 10 percent band. Kalshi leaders pay lower prices for similar win rates, so each win pays more and the typical return sits a band higher.

Rank tells you almost nothing. Every group of ten on both boards produced between six and ten profitable copies, and the best records sit in the middle and the bottom of the boards, not the top. The number one trader on a profit board can be a losing copy when the profit came from sizing a few positions enormously rather than from a per-entry edge, which is exactly what a flat stake removes. The variables that do predict a good copy are the ones the leaderboard hides: win rate against the price paid, the depth of the settled record, and whether the profit came from many entries or a handful. Every name above links to a public record that shows all three, and the backtester runs the same simulation on any rule.

Population and method

  • Board. The top 100 traders per venue by observed net profit on Rivo's recorded trades, ranked at 2026-09-23T03:49:50.818Z. The same ranking as the public traders page.
  • Window. Recorded entries from 2026-06-25T03:49:50.818Z to 2026-09-23T03:49:50.818Z, the trailing 90 days at export.
  • Eligibility. buy_yes and buy_no entries with a recorded price. Sells are never scored. Entries in markets still open at export are counted but not scored.
  • Stake. $100 per entry, filled at the recorded price, held to settlement. PnL is 100 / price − 100 on a win and −100 on a loss.
  • Scoring floor. A trader needs at least 30 settled entries to enter any share, median or count. Thinner records are listed and downloadable, not scored.
  • Cost case. 4 return points subtracted from every scored trader, a flat stand-in for slippage and fees.
  • Not modelled. Entry delay, partial fills, depth, position limits, capital lock-up, and correlation between a trader's entries in the same market.

The full definitions, including the settlement rule and the payoff arithmetic, are on the methodology page.

Downloads and provenance

Both files are free to reuse with attribution. The JSON is the manifest with every trader row; the CSV is the same rows as a table.

JSON
Study manifest

Window, method, stake, every trader row per venue, content hash.

CSV
Trader table

One row per trader and venue, every column in the manifest.

The source revision is the repository commit the export ran against. The content hash is computed over the manifest with the hash field removed, and the page refuses to render a file whose hash does not match.
FieldValue
Study slugtop-100-flat-copy-2026-09-23
Method versionleaderboard-flat-copy-v1
Generated at2026-09-23T03:49:50.818Z
Window2026-06-25T03:49:50.818Z to 2026-09-23T03:49:50.818Z
BoardTop 100 by observed profit per venue
Fixed stake$100 per recorded entry
Scoring floor30 settled entries
Cost case4 return points per trader
Source revision41e3a16f59a58f8d432d2e085ac98f8ae91f2ee3
Content SHA-2569f2321c18df826ba39fddac708d0238a41672d6228a33afaeba12d11cfe56d22
Cite this study
Rivo (2026). Copying the top 100 traders on Kalshi and Polymarket at a flat stake. Window 2026-06-25 to 2026-09-23 (UTC), exported 2026-09-23. Method leaderboard-flat-copy-v1, $100 flat stake per recorded entry, held to resolution, gross paper PnL. https://rivo.markets/research/top-100-flat-copy-2026-09-23

Frequently asked questions

Who is on the board?

The top 100 traders on each venue ranked by observed net profit on Rivo's recorded trades at export time, the same ranking the public traders page shows. Ranks move daily; this study holds the ranks of September 23, 2026.

What does a flat copy mean?

Every recorded buy by the trader in the trailing 90 days is treated as a $100 stake filled at the trader's recorded price and held to settlement. A win returns 100 / price minus 100; a loss returns minus 100. Sells are never scored, so every rate is a rate on entries.

Why are traders under 30 settled entries not scored?

A large return on a dozen bets is usually one good week. Those traders stay in the table and the downloads, but they are excluded from every share, median and count on this page.

What is the 4% cost case?

A flat haircut of 4 return points per trader, standing in for the slippage of entering after the trader and the venue's trading fees. It is deliberately at the high end of what copy costs are usually modelled at, so the after-cost counts are a floor rather than a forecast.

Does this show Kalshi traders are better than Polymarket traders?

No. The venues are collected through different pipelines with different identity models and size floors, and the gap in median return is mostly the price paid per entry. Read each venue against its own earlier studies.

Can I reproduce it?

The JSON manifest carries every trader row, the window, the method version, the source revision and a SHA-256 over the payload. Each trader's public profile runs the same simulation live. Re-running later will differ because settlements keep arriving and the board reorders; that is a new study, not a correction.

Copy the records, not the rank.

Every trader here has a public record with the same flat-copy simulation, the price bands, the categories and the drawdown. Follow one, size it flat, or run it on Autopilot through your own venue account.

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Related

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