Written by: PolyHub
Who is predicting the market to "quietly make a fortune"?
While everyone debates whether prediction markets can accurately reflect polls, some accounts have turned them into stable profit channels through extremely high-frequency small trades.
Let's first look at these two smart money players who are extracting profits from the market: their underlying structure is based on the logic of this article:
Account k9Q2mX4L8A7ZP3R: Total profit exceeds $1,046,373.20 with 24,000 predictions made.
https://polymarket.com/@k9Q2mX4L8A7ZP3R
Account 0x8dxd: Profit has reached $1,680,017.40.
https://polymarket.com/@0x8dxd
Most notably, their profit curves are almost a perfect upward diagonal line. This indicates that their earnings are not derived from "precise predictions" of a single event (such as an election) but from a mature institutional-level market-making strategy.
Why is there an opportunity to "pick up money" here?
To understand how major players profit, one must first grasp the underlying logic of prediction markets. Polymarket's contracts are mathematically equivalent to a financial instrument — binary options — in a short period. Simply put, if the result occurs, it is worth 1 dollar; if it does not, it is worth zero.
Data reveals an interesting phenomenon: among 99 price levels, the active buyers (Takers) suffer negative returns on about 80 of those levels. Wealth systematically transfers from buyers to sellers (Makers) on the micro order book.
The "lottery trap" for retail investors
Many players like to buy extreme contracts priced at $0.01, thinking that if they hit, they could multiply their money a hundredfold.
However, Polyhub's backtest shows that the actual occurrence probability of such contracts is often just 0.43%, with premium deviations as high as -57%.
Major players systematically harvest these premiums generated by psychological biases by occupying the structural advantage of **Makers**.
In the order book of prediction markets, wealth is systematically transferred from the active takers to the makers.
The so-called "long-tail bias" simply refers to the "lottery mentality" of retail investors: ** many people enjoy buying extreme contracts priced at $0.01 (believing there is a 1% chance of occurrence), thinking that if they hit, they could multiply their money a hundredfold.
This means that when you buy these "cheap" contracts, you are already paying an extremely high premium. All of this premium turns into the market maker's steady profit.
Pricing logic: How to calculate the "fair value" of an order?
Professional traders never bid based on instinct; they view prediction contracts as binary options — a digital contract that is either "all or nothing."
To determine what this order is worth, major players deduce the implied volatility (IV).
IV is essentially a "sentiment indicator" of the market: the more volatile the price, the higher the IV.
If your model can calculate the true probability of the next minute more accurately than the market, you can identify those mispriced orders at the market.
The "time machine" in the hands of major players
Having a theory is not enough; the real challenge lies in implementing the engineering.
1. HMM state management: Installing an "intelligent switch" ** Due to Polymarket's second-level latency, while Binance operates at millisecond-level. Major players have introduced HMM (Hidden Markov Model).
You can think of it as an "intelligent switch": When the market is calm, the system remains in a stable state and trades normally; once Binance's prices spike, the system instantly recognizes and switches to an "active state," freezing data and canceling orders to prevent being hit by others' "fast entry" orders.
2. Brent method: The "super calculator" that never crashes ** In extreme market conditions, many rudimentary algorithms may crash due to excessive computation. Top systems employ the Brent method. This is an extremely robust mathematical tool: no matter how outrageous the price fluctuations are, it can calculate the most accurate pricing within nanoseconds, ensuring the trading system remains online at critical moments.
3. OFI order flow: The "radar" to predict the future ** Major players also monitor OFI (Order Flow Imbalance). This acts like a radar: it predicts future price trends by monitoring who among buyers and sellers has more power, who is canceling orders, and who is increasing orders, allowing them to ambush early or avoid risk.
Capital management: Hard constraints under risk
In prediction markets, the most dangerous thing is not misjudgment but rather tail risk — events with extremely low occurrence probabilities but devastating impacts that result in position liquidation.
Polyhub's research team found that top players do not directly apply traditional Kelly Criterion formulas. Because in a high-volatility environment like prediction markets, the standard formula often provides overly aggressive betting ratios, leading to drastic fluctuations in capital curves or even total loss.
To address this issue, the strategy incorporates the coefficient of variation (CV) as a penalty term.
CV (Coefficient of Variation) here measures the "cost-effectiveness" of returns: it calculates the ratio of risk from strategy volatility to expected returns.
This mechanism can be viewed as an "automatic decelerator":
When the system detects fuzzy signals and increasing market noise, the CV penalty term rapidly rises, suppressing the betting position to approach zero. Only during extremely clean signal periods with high certainty of gains will the system deploy large amounts of funds based on the model.
This means: the higher the uncertainty, the closer the invested position approaches zero. Only through this strict scaling of capital can a smooth profit curve of millions of dollars be achieved.
Conclusion: Leveling the asymmetric game
The truth behind Polymarket's profits is often that institutional-level algorithms systematically harvest the "intuition" of retail investors. In the face of HMM state switching and microsecond-level order harvesting, ordinary traders easily become "exit liquidity" for major players.
We do not encourage blind confrontation, nor do we advocate following trends without strategy. Polyhub exists to help you see those "invisible traps." By monitoring smart money movements in real-time and identifying market deviations, we provide you with the same decision-making precision as top players, making this asymmetric game fair again.
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