Archived — below our codifiability bar

Larry Connors' R3 Strategy

Analyze the 'Larry Connors' R3 Strategy' which claims an 88% win rate. This strategy uses technical indicators for short-term market movements.

Published · Archived · Methodology: Technical Indicators

  • Algo score: 70%
  • Discretionary score: 30%

This strategy was decoded from a public trading video but did not clear Strategy Decoder's codifiability bar: the extraction could not pin the rules down precisely enough to be turned into a reviewable specification. It is kept here as a reference post-mortem rather than as a strategy you can trade or backtest.

  • Methodology: Technical Indicators
  • Content type: strategy

Why this strategy was archived

Larry Connors is one of the best-known names in short-term mean reversion — an approach built on the idea that weakness inside an ongoing uptrend tends to resolve upward rather than continue lower, and that oversold readings can therefore mark entries rather than exits. R3 belongs to that family of rules-based, short-holding-period systems. This entry covers Quantified Strategies' video "88% Winrate? Testing Larry Connors' R3 Strategy", which frames the strategy as something to be examined against data rather than simply asserted.

**Why this entry is archived.** Our extraction scored this video below the codifiability bar. What came back was concept-level: no objective criteria defining which conditions qualify as a valid setup, no confirmation trigger, and no stop or target logic — and no indicators, timeframes or markets our extractor could attach to the entry with confidence. The content is descriptive of an approach rather than prescriptive about how to execute it, and an entry we cannot code faithfully does not belong in the active catalog. A headline win-rate figure — even one posed as an open question, as the title does — is not a specification; the parameters underneath it are what a backtest actually needs.

**What it still offers.** The framing is the genuinely useful part. Treating a named, well-marketed strategy as a hypothesis to be tested rather than a recipe to be trusted is the discipline most retail strategy content skips, and this video points in that direction. As orientation to Connors-style mean reversion it does its job — it just leaves undefined the pieces an automated implementation requires. If you are researching this family of systems, see the mean-reversion concept hub and the active catalog for entries where complete entry and exit rules were successfully extracted.

Source video

Decoded from: 88% Winrate? Testing Larry Connors' R3 Strategy by Quantified Strategies — watch the original

Frequently asked questions

Why is this Larry Connors R3 strategy entry archived?

Our extraction returned concept-level content: the video discusses the strategy without defining objective qualifying conditions, a confirmation trigger, or stop and target logic. It scored below the codifiability bar we require for the active catalog, so there is nothing complete enough to code or backtest faithfully.

What is Larry Connors' R3 strategy?

It belongs to Larry Connors' family of short-term mean-reversion systems, which look to buy weakness within a market that is still trending higher and exit once conditions normalize. This page does not state its parameters because our extraction did not recover a specific, reproducible rule set from the video.

Does the win rate in the video title mean the strategy works?

A win-rate figure is only interpretable alongside the exact rules, the instrument and test window, the exit logic, position sizing and trading costs. We neither reproduce nor verify any figure here — without an extractable rule set there is nothing to re-test independently.

Where can I find codifiable mean-reversion strategies on Strategy Decoder?

The active catalog and the mean-reversion concept hub list decoded video strategies where full entry, exit and risk rules were successfully extracted.

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