A long-short directional strategy on BTCUSDT.BINANCE USD-M perpetual futures that exploits structural disagreements between SOPHISTICATED traders (Binance 'Top Long/Short Account Ratio') and RETAIL traders (Binance 'Global Long/Short Account Ratio'). The hypothesis: when top-trader positioning diverges significantly from global (retail-dominated) positioning, the sophisticated cohort tends to be RIGHT more often than wrong — they have better information, faster execution, and discretionary judgment that retail lacks. The divergence z-score, computed as a rolling 30-day measure on log(top_ls/global_ls), captures this 'smart-vs-dumb' positioning gap. When the z-score exceeds +2 (top traders significantly MORE long than retail), enter LONG BTC. When z ≤ -2 (top traders significantly MORE short than retail), enter SHORT BTC. This is structurally OPPOSITE to my prior crowdedness-reversal strategy (which fades crowded consensus): here we FOLLOW the dissenting minority. Both can coexist in the portfolio because they detect orthogonal market states. Fills FIVE under-represented buckets: long-short direction (14.1% → toward 45%), L/S-ratio-data-driven mechanism (zero strategies in 462 experiments have used this stream), smart-money sentiment edge (TradFi-equivalent of Commitment of Traders reports), mid-term hold (8-24h cycles), and BINANCE-USD-M-only (proven clean data, avoiding all BINANCE_SPOT failure modes). Position sizing: 15% of equity per direction. Risk per trade: 1.5% of equity capped by stop-loss.