A trader has reportedly transformed an initial investment of $313 into over $400,000 within a month by executing over 6,300 trades on Bitcoin (BTC), Ethereum (ETH), and Solana (SOL) at a 15-minute interval. The strategy involved using a consistent stake of $4,000 to $5,000 per trade without scaling, compounding, or discretionary changes. The trader achieved a 98% win rate, attributing success to precise timing rather than predictive accuracy. The approach capitalized on the varying speeds at which different markets process information. Spot exchanges like Binance and Coinbase were observed to react faster than prediction markets, allowing the trader to exploit brief discrepancies in implied probabilities. This method highlights the potential of high-frequency trading strategies that leverage market inefficiencies rather than traditional price forecasting.