Can Tsallis Entropy Weight Optimization Beat the S&P 500? I Ran the Numbers
Tsallis entropy weight optimization applies generalized non-extensive statistical mechanics to portfolio construction, explicitly modeling the fat tails and non-linear co-movements of leveraged equity and hedge assets. By dynamically penalizing tail concentration, the model seeks to capture explosive upside in trending markets while rapidly rotating into cash and safe havens when systemic risk rises. The central trade-off lies between superior drawdown protection during market dislocations and structural friction from volatility drag and rebalancing turnover. If you'd put in $10,000, it would now be $49,420. 📈 Yearly return (CAGR): 17.4% 📉 Worst drop (max drawdown): -19.0% ⚡ Sharpe Ratio: 1.00 💰 Total Return: 394.2% 🆚 S&P 500 (SPY) over the same period: 311.5% — this strategy outperformed by 82.7 points 🎯 Universe: TQQQ, UPRO, SOXL, FNGU, BULZ, TECL, TNA, SPXL, TLT, IEF, GLD, SHY, BIL Metric Tsallis Entropy Weight Optimization S&P 500 (SPY) Total ret...