Assessing Market Action with Indicators and History

U.S.
Joined July 2008
SPX is About to Enter an Incredibly Bullish Seasonal Period quantifiableedges.com/spx-is… $SPX $SPY
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Despite this historically being one of the most volatile weeks of the year, $SPY just posted its narrowest intraday range of 2026.
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One Backtest Might Just Be Lucky youtu.be/vuPaos-ME9k
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$SPY range in the 1st 5 minutes today was about the same as the total range the rest of the day. Have fun with that. #summerdoldrums
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How August and September Have Fared After June & July Both Close Lower quantifiableedges.com/how-au… $SPX $SPY #seasonality
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Introducing the Quantifiable Edges Hypothetical Correlation Tool quantifiableedges.com/introd…
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Using Claude Code to Backtest with RealTest youtu.be/n444wX0QC6s $SPX $SPY #AI
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Quantifiable Edges retweeted
Warsh's first fingerprint on the Fed: a much shorter statement
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A TICK TomOscillator Study Suggesting a Monday Bounce quantifiableedges.com/a-tick… $SPX $SPY $TICK
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Memorial Week History And The One Day That's Been Consistent quantifiableedges.com/memori… $SPX $SPY
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Inspired by @bespoke xitter.cf/bespokeinvest/status/2… I examined # days $SPX direction diverged from SPX adv/decl for every rolling 100-day period 1957-now. Yesterday 5/18/26 was the 32nd day in last 100 that breadth diverged. (15 days up on bad breadth, 17 down on good breadth). Highest reading ever.
S&P 500 breadth and price are on pace to move in opposite directions on 79 trading days this year, which would easily be a record since 19990. $SPY
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Quantifiable Edges retweeted
The 2026 NAAIM Founders Award papers are now posted! Search the full library (2009–2026): naaim.org/programs/find-a-wh… #NAAIM #FoundersAward #InvestmentResearch #ActiveManagement
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A Historical Look at the Top 20 6-week $SPX Rallies Since 1950 quantifiableedges.com/a-hist… $SPX $SPY
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Quantifiable Edges retweeted
Low drawdowns caught my eye in @QuantifiablEdgs' NAAIM study, so I ran the numbers myself. The strategy: Go long for 1 week if any of these 3 sentiment triggers hit(I paraphrase the conditions): Condition 1. NAAIM investors are very pessimistic, but becoming less pessimistic week-on-week. Condition 2. NAAIM investors are more optimistic than average, and becoming meaningfully more optimistic month-on-month. Condition 3. NAAIM investors are very optimistic to the point of being leveraged long. Here's what I found: - Condition 1 is true only 3-4% of the time, but works fairly consistently with a Calmar ratio > 2/3, which is huge. I would describe this as the rebound after a crash that occurs around the same time as breadth thrusts. - Condition 2 is true 3-4 times more often than Condition 1, and also works well, but is also more susceptible to data mining. Changing the thresholds (see Rob's article) from 80 and 15 to something else tends to make the results worse. - Condition 3 does not work as well as Conditions 1 and 2, but is profitable, and compliments the other conditions. One final comment: Actionable high-Calmar ratio alpha is rare. The performance of such strategies tends to degrade once they are disclosed, so trade with care. All in all, an excellent study.
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A Strong Start to May Has Often Been Followed by a Short-Term Dip quantifiableedges.com/a-stro… $SPX $SPY
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I'll be going on the NAAIM Confidential podcast in about 30 minutes to discuss a model I built based on the NAAIM Survey, as well as the recent "Scranton Party" Market Rally. Join me here: youtube.com/watch?v=Kzx9... @NAAIM_Official
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