Hybrid AI Trading Strategy Delivers 135% Return

A Jan. 27, 2026 preprint by Akshay Ajith proposes a hybrid AI trading strategy combining EMA, MACD, RSI, Bollinger Bands, FinBERT sentiment analysis, and XGBoost with volatility-based regime filtering. In a 24-month backtest the system grew an initial investment to $235,492.83, yielding a 135.49% return and outperforming S&P 500 and NASDAQ-100 benchmarks. The paper highlights improved flexibility and lower downside risk from multimodal signals.
Scoring Rationale
Strong practical performance and actionable design drove score, limited by single preprint source and lack of peer review.
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