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The Computomatix Times

All the posts fit to save — curated from @computomatix's bookmarks & likes on X

Edition of Tuesday, April 21, 2026

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Student Backtesting Tool Tests Polymarket Strategies on Historical Trades

Student Backtesting Tool Tests Polymarket Strategies on Historical Trades

Recogard describes an open-source prediction-market backtesting simulator built by a computer science student on a dataset of 1.1 billion Polymarket trades. Users can apply strategies to past markets and measure PnL and accuracy, with a GitHub link provided.

Original post · 1 min read
A computer science student built a working simulator that lets you test your own Polymarket strategies using real historical data and released it on GitHub for free…

This is a ready to use tool based on the largest dataset of 1.1 billion Polymarket trades.

Here is how you can use it for your trading:

This simulator takes all past markets, analyzes how they behaved from open to close and applies your own strategy to them. As a result, it calculates the potential Pnl and accuracy as if u had actually made those trades yourself.

Lets imagine, while trading, you have noticed a pattern: All movie markets are less volatile and often have a clear winner right from the start (with the highest % probability) - just an example!

But how could u actually test this pattern right now without risking real money? - thats exactly where backtesting comes in…

So, you take your strategy, lets say - Always buy the most probable outcome at market open, but only in movie markets.

Then, the simulator analyzes all movie markets that have ever existed up to today, applies your strategy to them and shows you the accuracy. Based on that, u can decide whether its actually worth using for your future trades.

This way you can test hundreds of strategies like that without risking any money.

GitHub: github.com/evan-kolberg/prediction-market-back…
Recogard @recogard
5 students from Shanghai University analyzed over 1.1 billion Polymarket trades across 268K markets, collected 107GB of real trading data and released it for free on GitHub…

This is the largest public prediction market dataset I have ever found.

Here is how you can use it for trading on Polymarket:

This dataset allows you to understand how Polymarket actually behaves and how prices typically move.

You can analyze and compare all markets within the same category to find patterns in price movements that repeat over time.

Lets imagine, while analyzing this dataset, you discover that, for exa…
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Tengen Shares Eric Budish Lecture on HFT Mechanics in Order Books

Tengen Shares Eric Budish Lecture on HFT Mechanics in Order Books▶

Tengen recommends a one-hour lecture by UChicago Professor Eric Budish on the math behind high-frequency trading in continuous order books, including latency arbitrage and the liquidity tax. The post also cites a quoted claim of a bot earning $500k on Polymarket 15-minute crypto markets.

Original post · 1 min read
Professor Eric Budish (UChicago) delivers a 1-hour masterclass completely deconstructing the exact math HFT bots use to extract millions from continuous order books.

Bookmark this and watch it today, if you want to stop trading narratives and start trading architecture

It will permanently change how you view markets and liquidity. Check the quoted post below to see an example of HFT bot that appears to be exploiting these mechanics, printing over $500k in just 26 days on Polymarket.

For the platform, attracting this level of algorithmic warfare is the ultimate validation. This level of deep, constant liquidity cements the platform as a Tier-1 financial fortress.

What you'll learn inside:

- The fundamental flaw in the continuous limit order book (clob)

- How latency arbitrage actually works under the hood

- The concept of the "liquidity tax" and who ultimately pays it

- Why pure speed mathematically eliminates directional risk

There are no magic pills or secret formulas in this game. The edge simply belongs to those who understand the mechanics better than the others.
Tengen @0xTengen_
polymarket trader made $500k on 15m crypto markets in just a 25 days

exclusively trade 15-minute and hourly "up or down" intervals on btc, eth, sol, and xrp

absorbing the newly introduced platform fees without breaking a sweat

that’s roughly $20,700 in pure profit per day

visually, everything points to an hft bot, the profile shows nearly 24,000 predictions

we can only theorize about the exact logic under the hood, but if this is a fully autonomous script, the creator should be proud of the flawless execution

looks like we are witnessing classic quantitative trading, likely smart money s…
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Aesty Pitches Closet App That Reads Camera Roll Instead of Manual Photos

Aesty Pitches Closet App That Reads Camera Roll Instead of Manual Photos▶

Nadia Zueva promotes aesty.ai, a digital wardrobe app that builds a closet by scanning the user's camera roll rather than requiring each item to be photographed. The post is a short promotional video.

Original post · 1 min read
pov: you opened your closet in 2026

every digital wardrobe app makes you photograph each item. aesty.ai just reads your camera roll
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Seduction Palace Post Claims Sex Therapist Distinguished Intimacy Types

Helen Casanova of Seduction Palace shares a promotional post claiming a sex therapist explained a difference between making love and sex, and that women crave both at different moments. The text offers little substantive detail.

Original post · 1 min read
A famous sex therapist explained the difference between making love and f#cking.

Women crave both at different moments.

Bedroom kings know when to give each.

Here’s how....
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