▲ QUANTGPTTHE STRATEGY LIBRARY ▸
// STUDY RESULT · 2016-01 TO 2026-10

Inspired by Connors and Alvarez: RSI(2) Mean Reversion

NO EDGE

In uptrending markets, deep short-term oversold readings (2-period RSI) mark high-probability bounce entries.

How this run differs from the source: Exits at the next close unless still oversold, not on the first close above the 5-day average; long only, daily from 2016.

THE STRATEGY$SPXTR BUY & HOLD
Growth a year (CAGR)3.7%15.1%
Return per unit of risk (Sharpe)0.280.88
Worst fall (max drawdown)-66.6%-33.8%

// GROWTH OF $1, LOG SCALE

AMBER: THE STRATEGY · GREY: $SPXTR BUY & HOLD

Tested on years it never saw (from 2021): 12.6% a year against 15.0% for the benchmark; Sharpe -0.16 in the training years, 0.63 after.

After 25 bps of trading costs: -48.8% a year. EDGE OVER RANDOM

// DECADE BY DECADE

ERASTRATEGYBENCHMARK
2010s-9.6%15.1%
2020s12.5%15.2%

// THE IDEA, AS PUBLISHED

Larry Connors & Cesar Alvarez, 'Short Term Trading Strategies That Work' (2008) · 2008

RUN IT YOURSELF ▸ IN THE LIBRARY

A real computation on the QuantGPT warehouse, walk-forward. A study across the whole market includes only part of the companies that later delisted from 1998 (survivors only before); a study on your own list of tickers is not affected. Gross returns, no costs except where stated. Past performance is not a promise. Findings, not advice. COMPUTED 2026-10-19 18:59 ON THE QUANTGPT WAREHOUSE. COMPANIES THAT LATER DELISTED ARE ONLY PARTLY IN THIS UNIVERSE (A FIX IS IN PROGRESS), SO THE RESULT LEANS TOWARD SURVIVORS. FUNDAMENTALS BY FILING DATE. NOT INVESTMENT ADVICE.