"If Friday can't beat Thursday's high, Friday's low gets hit on Monday" — checked on 20 years of S&P 500 days: the real hit rate, the comparison that matters, why Friday isn't special, and why a hit is not a trade. This free lesson covers: The claim, Does it fit?, The test, Is 53% overwhelming?, Compared to what?, Measure the gap, Friday isn't special, What did the weekday test show?, A hit is not a trade, How would you use it?, Does it hold up?, Put it together.
Going deeper
This lesson is the long form of the Friday-rule Reel. The rule comes from a short clip of a trader saying that when Friday's high is below Thursday's high, Friday's low gets hit on Monday with "overwhelming" odds. We paraphrase the claim because the clip's exact wording is hard to make out.
Data: daily S&P 500 and Nasdaq Composite candles from Yahoo Finance, January 1999 – December 2018, as shipped with the `arch` Python package (5,031 trading days). A Friday counts when the session before it was a Thursday; "Monday" is the next trading day, so after a Monday holiday it is the Tuesday. "Hit" means Monday's low was at or below Friday's low. Fridays whose high equalled Thursday's (rare) count with the higher highs.
The weekday comparison uses the same rules for every day: the session before must be the previous weekday, and the next trading day must reach the day's low. After a lower high, S&P 500 figures ran from about 50% (Thursday) to 55% (Tuesday); after a higher high, from 32% (Friday) to 42% (Monday).
The test used the S&P 500 and the Nasdaq, which moved the same way. The Dow usually moves with them day to day, but its exact figures would differ — check it on your own broker's data before relying on it.
That is the free daily dataset we could test reproducibly. A newer period could give different numbers, which is one more reason to treat the result as a tendency, not a rule.
Strategy Playbook · Learn · Step 1 of 12 · about 4 min
A trader in a viral clip says: if Friday's high stays below Thursday's high, Friday's low gets hit on Monday — with "overwhelming" odds.
We tested it on 20 years of daily data. Here is what came back.