A trading bot has recorded rapid multi-fold growth in prediction markets over a very short period, highlighting both the opportunities and quirks within binary trading systems.
In this line, data from Polymarket shows that the bot, operating under the account “woshfq19,” generated approximately $64,334 in all-time profit within just four days of activity.
The strategy focused on ultra-short-term “up or down” contracts tied to Bitcoin (BTC), each lasting only five minutes.
The most notable trade occurred on April 3 within a five-minute window between 7:30 PM and 7:35 PM ET. The bot entered at $0.01 and exited minutes later.
Rather than a simple directional bet, it accumulated 16,262 shares at near-zero prices, exploiting brief pricing inefficiencies caused by liquidity imbalances. This allowed the contract to reprice sharply as the market normalized.
As a result, roughly $16 turned into more than $16,000 in a single trade, a gain of about 9,900%. Similar five-minute trades generated steady profits, pushing total gains past $64,000.
Trading bots and maximum profits
The episode shows that short-duration binary prediction markets can produce extreme outcomes when liquidity, timing, and pricing align, though such opportunities are rare and quickly disappear as competition increases.
More broadly, automated trading bots powered by AI have emerged as a key force reshaping cryptocurrency prediction markets, with several turning small stakes into outsized profits.
For instance, as reported by Finbold, one bot using Anthropic’s Claude grew about $1 into $3.3 million through high-frequency arbitrage across sports markets, executing over 37,000 trades and capturing rapid pricing gaps.
Another bot, 0x8dxd, expanded roughly $313 into more than $550,000 by exploiting latency differences between Polymarket and exchanges like Binance and Coinbase, focusing on short-duration crypto contracts.
At the same time, a separate automated strategy completed nearly 9,000 trades on five-minute Bitcoin and Ethereum (ETH) markets, generating about $150,000 by locking in small arbitrage spreads.
Interestingly, these cases have emerged even as platforms adjust fees; automation continues to outperform, although most participants still lose in what remains a zero-sum environment.
