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quant relevance 0.98
The paper tests whether news sentiment improves US equity pairs trading. Its sentiment-aware strategies did not consistently beat a Bollinger-band baseline on returns or Sharpe ratio, although one reported better Sortino ratios and lower maximum drawdowns. A backtest is feasible with available prices and the platform’s news feeds instead of the study’s scraped Google News headlines.
quant relevance 1.00
SOTA selects and trades option strategies on nine U.S. stocks and SPY. It reports an 18.3% return and a 1.60 Sharpe ratio over a six-month out-of-sample test, but the available data and methods cannot reproduce its trading environment or full policy.
we backtested it — Sharpe 0.63 · quant relevance 0.92
The paper develops an optimal portfolio-allocation policy for reaching a financial target before a deadline. Its results come from theoretical and numerical analyses of a stochastic model, not measured trading performance on historical market data.
The rest of the batch
The paper develops a distributionally robust portfolio-allocation method, with out-of-sample performance reported on 90 FTSE constituents.
and 6 more · see the full radar
Backtest and model results are research artifacts, not live trading results and not a guarantee of future performance. Informational and educational purposes only. Not individualised investment advice.