An interesting phenomenon has been discovered in the prediction market ecosystem. A market-making Bots has been lurking on a well-known prediction platform for more than a year, continuously capturing trading opportunities with precision.
The data is quite astonishing – a total profit of $181,000 has been achieved, targeting nearly 23,000 markets, backed by close to a million executed trades. What does this scale indicate?
The strategy is actually not complicated, but the execution is ridiculously strong:
• The moment the market opened, the Bots were already in. Before ordinary users could react, it had locked in the mathematically optimal entry price point.
• Accumulated stable arbitrage opportunities through extensive market participation and frequent trading.
This reflects the structural opportunities present in the prediction market—information asymmetry, pricing discrepancies, and liquidity asymmetries are being efficiently captured. For those interested in DeFi arbitrage, market-making behavior, and market microstructure, this is a case with significant research value.
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MevSandwich
· 12h ago
Haha, the Bots earn more than my annual salary, and I'm here losing money manually.
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WenAirdrop
· 12h ago
Bots earn 180,000 a year, and I'm still looking at charts... why is there such a big gap?
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OnchainSniper
· 12h ago
Bots have targeted 23,000 markets in a year, earning 180,000 dollars. This speed is truly amazing; how can we manual operators keep up?
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DuskSurfer
· 12h ago
Bots earn 180,000 a year, while we are still struggling over which coin to buy... This gap is really amazing.
An interesting phenomenon has been discovered in the prediction market ecosystem. A market-making Bots has been lurking on a well-known prediction platform for more than a year, continuously capturing trading opportunities with precision.
The data is quite astonishing – a total profit of $181,000 has been achieved, targeting nearly 23,000 markets, backed by close to a million executed trades. What does this scale indicate?
The strategy is actually not complicated, but the execution is ridiculously strong:
• The moment the market opened, the Bots were already in. Before ordinary users could react, it had locked in the mathematically optimal entry price point.
• Accumulated stable arbitrage opportunities through extensive market participation and frequent trading.
This reflects the structural opportunities present in the prediction market—information asymmetry, pricing discrepancies, and liquidity asymmetries are being efficiently captured. For those interested in DeFi arbitrage, market-making behavior, and market microstructure, this is a case with significant research value.