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TL;DR

Thorsten Meyer AI says it tested two versions of a viral Polymarket 5-minute crypto trade using simulated money across four coins for two days. The paired strategy’s required double-fill occurred three times in 9,486 attempts, while both approaches recorded net-negative results; the findings have not been independently verified.

Thorsten Meyer AI says a two-day simulated test of a viral Polymarket “100x trade” strategy found that neither of two reconstructed versions made money across four cryptocurrencies. In the paired version, the strategy’s essential event—buying both sides of a five-minute market at low prices—happened three times in 9,486 attempts, according to the May 21 report.

The strategy was prompted by a YouTuber’s reported Polymarket trade that turned $1 into $50 in a five-minute Bitcoin Up/Down market. The source says the transaction could be checked on PolygonScan, but a single successful trade does not establish that the approach can be repeated profitably. The video’s creator reportedly said the event was rare and that he did not yet have results showing whether the method worked over time.

In the first reconstruction, called “paired-switch,” the bot placed two-cent bids on both the Up and Down sides. Each winning share pays $1 at settlement; if both positions are bought for two cents apiece, one winning share can return $1 while the other expires worthless. The source reports three double-fills among 9,486 paired attempts, alongside 1,297 fills on the losing side only and 8,162 attempts with no fills. Its simulated net result was minus $280.

The second version, “winner-snipe-postclose,” posted a bid only on the side that the system judged had won after the market closed. Of 3,482 posts, eight filled; the report says four fills were settled and all four lost. Across both versions, the source describes approximately 13,000 windows on BTC, ETH, SOL and XRP, using simulated money and a paper-fill model intended to require a real taker to sell into a simulated bid.

At a glance
reportWhen: Published May 21, 2026; the test ran fo…
The developmentThorsten Meyer AI published a paper-trading test of a viral Polymarket strategy, reporting that both versions lost money across roughly 13,000 test windows.
AI Runs 13,000 Tests on a Viral “100X Trade” Strategy

Paper test · Week four · May 21, 2026

AI Runs 13,000 Tests on a Viral “100X Trade” Strategy

A two-day simulated test of two Polymarket five-minute crypto strategies reported rare paired fills and net losses across BTC, ETH, SOL, and XRP. The findings have not been independently verified.

Essential event 3 / 9,486 Attempts where both low-price bids filled
Reported outcome Both lost Neither reconstructed version made money in the simulation
Test windows~13,000Across four crypto assets
Double-fill rate0.032%Three paired fills in 9,486 attempts
Paired-switch−$280Simulated net result reported
Real funds$0Paper trading only

What the test found

The strategy depended on capturing stale, unusually cheap orders near a five-minute market’s close. In the paired version, a fill on just one side could leave the position exposed to a total loss.

01 · Paired-switch

Two bids, one rare pair

The bot bid two cents on both Up and Down. Both sides filled just three times; one-sided losing fills were much more common.

02 · Fill imbalance

1,297 losing-side only

The report counted 8,162 attempts with no fills and 1,297 with a fill only on the losing side—an execution risk central to the result.

03 · Winner-snipe-postclose

Four settled, four losses

Eight of 3,482 post-close bids filled. The report says four were settled, and all four lost.

No fills
8,162 · 86.0%
Losing side only
1,297 · 13.7%
Both sides filled
3 · 0.032%

Why rare fills matter: a striking $1-to-$50 trade can show that an outcome happened once. It does not show how often both orders can fill, or whether losses from one-sided execution outweigh rare successful pairs.

How the viral trade works

The source describes binary markets where the winning side pays $1 per share at settlement and the other side pays nothing. Buying both outcomes cheaply could, in theory, cost less than the winning payout—if both orders execute.

01

Place low bids

Bid on both Up and Down near the end of the window.

02

Catch stale orders

Another participant must sell into the resting bids before canceling.

03

Need both fills

A one-sided fill can leave a position that settles at zero.

04

Settle at $1

Only the winning outcome pays; the other side expires worthless.

What the report says—and what it cannot establish

Thorsten Meyer AI says Polybot ran 24 parallel experiments against live order-book conditions for two days. The paper model counted a bid as filled only when a real taker sold into it.

“The double-fill — the event the entire strategy depends on — happened 3 times in 9,486 attempts.”

Thorsten Meyer AI · Reported finding

“The viral strategy does not work.”

Thorsten Meyer AI · Test conclusion

“No real funds were involved at any point.”

Thorsten Meyer AI · Paper test

Limits and next evidence

These results describe a short simulation, not confirmed live performance. The supplied material does not include independent replication or enough detail to resolve every execution assumption.

01

Simulation: fees, slippage, and paper-fill assumptions may differ from live execution.

02

Short duration: two days across four coins cannot establish results in other periods or markets.

03

Settlement: post-close price readings could differ from official resolution; the report gives no full breakdown.

04

Replication: transparent timing, data, fee, and settlement details plus independent testing would add useful evidence.

From viral trade to test result

The cited trade reportedly turned $1 into $50 in a five-minute Bitcoin Up/Down market. Its existence does not establish that the method can be repeated profitably.

01 · CLAIMA reported $1-to-$50 trade
02 · REBUILDTwo strategy versions
03 · SIMULATE~13,000 windows, four coins
04 · OBSERVEThree paired fills; losses reported
05 · VERIFYIndependent replication remains needed

Key questions

What was the “100X trade”?

A reported trade buying outcomes in a five-minute Polymarket crypto market at low prices. The source says the unusual trade turned $1 into $50; the test did not reproduce that return.

How often did both bids fill?

Three times in 9,486 paired attempts, or about 0.032%, according to the report.

Did either version make money?

No. The paired version reported a simulated net loss of $280. All four settled fills in the post-close version lost.

Was real money used?

No. Thorsten Meyer AI says the experiments used simulated money and involved no real funds.

Why Rare Fills Matter

The results address the gap between a striking screenshot and a repeatable trading method. A large return from one trade can draw attention, but it says little about how often the required conditions occur or what happens when a strategy is left running. In this test, the proposed paired trade depended on both orders filling at very low prices; the report says that happened three times in nearly 10,000 attempts.

The more frequent outcome was a fill on the losing side alone. That pattern matters because the paired strategy is not protected if only one order executes: the trader may be left holding a position that settles at zero. The test therefore highlights execution risk and fill imbalance, not merely whether a market prediction is correct. For readers considering a similar idea, the report’s results are a warning against treating an exceptional trade as evidence of a dependable edge. They are not proof that every possible implementation or market condition would produce the same outcome.

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How the Viral Trade Works

Polymarket’s five-minute crypto markets described in the source settle as binary outcomes: at the end of the window, either Up or Down pays $1 per winning share, while the other side pays nothing. The viral trade attempted to take advantage of stale orders near the close. If someone bought both outcomes cheaply and both orders filled, the payout on the winning side could exceed the combined cost regardless of direction.

The proposed edge depended on another market participant’s resting order remaining available after the outcome was effectively known. The source characterizes this as stale liquidity: a trader or bot may fail to cancel an order quickly enough, allowing another participant to buy at a favorable price. But the report’s central question was how often such orders could be captured—and whether failed or one-sided fills would outweigh rare successful pairs.

Thorsten Meyer AI says it ran two distinct versions through Polybot against live order-book conditions for two days, with 24 parallel experiments. It says the paper model counted a bid as filled only when a real taker sold into it. The article is identified as Week Four of an ongoing series; the source also states that no real money was used.

““This is going to take time because this is a rare event… probably I didn’t have anything for you in this video about the results.””

— The YouTuber whose trade prompted the test, as quoted by Thorsten Meyer AI

Limits of the Paper Test

The reported figures come from Thorsten Meyer AI’s own test; the supplied material does not include independent replication or external review. The results are simulated, and the article does not establish how the test’s paper-fill assumptions compare with actual execution, fees, slippage, or other costs in live trading. It also does not provide enough detail here to assess every parameter, including the exact cancel timings and how settlement-price disagreements were handled across all trials.

The report says the post-close version’s price reading could disagree with Polymarket’s official resolution because the final settlement price was not yet locked in. It does not provide a full breakdown of those disagreements or enough detail to determine whether different data feeds, timing rules or market conditions would change the results. The findings also cover two days and four coins; they do not establish what would happen over longer periods or in other markets. No real-money performance is reported.

Further Tests and Replication

The source frames the article as the fourth installment in an ongoing series, but the supplied material does not give a date or specific plan for the next report. The next useful evidence would be a transparent account of the test setup—including order timing, fees, data sources and settlement logic—along with independent replication or additional forward testing under clearly stated conditions.

Until such evidence is available, the reported outcome should be read as a limited simulated test, not as a guarantee about future market behavior. The source warns that using real funds could result in losses and says its experiments did not involve real money. Readers should distinguish the verified existence of a past trade, as described by the source, from the unproven claim that the strategy can be repeated profitably.

Key Questions

What was the viral “100x trade” strategy?

It was based on buying both sides of a five-minute Polymarket crypto market at very low prices. If both orders filled and one side later paid $1 per share, the combined position could return more than it cost. The source says the unusual trade that prompted the test turned $1 into $50; it does not report that the test reproduced a 100x return.

How often did the paired strategy’s two orders both fill?

Thorsten Meyer AI reports that both sides filled three times in 9,486 attempts, or 0.032% of the attempts in its test.

Did either tested version make money?

No. The source reports a simulated net loss of $280 for the paired version and says all four settled fills in the post-close version lost. These are results from the source’s paper test, not independently confirmed live-trading results.

Was real money used?

No. Thorsten Meyer AI says the strategies were run with simulated money and that no real funds were involved.

Why did the post-close version lose if it bid on the apparent winner?

The source attributes the losses to timing: its price feed could identify a likely winner before the final settlement price was locked in, and its reading sometimes disagreed with Polymarket’s official resolution. The report does not provide enough detail to independently assess all of those cases.

Source: ThorstenMeyerAI.com

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