Showing posts with label Fund Flows. Show all posts
Showing posts with label Fund Flows. Show all posts

Thursday, May 7, 2026

Record Systematic Shorts: Profit-Taking Pullback Ahead | Seth Golden

Goldman Sachs' chart, which tracks the rolling one-month change in positioning among systematic traders—primarily rule-based funds, including commodity trading advisors (CTAs), that rely on predefined models and algorithmic signals—points to a potential near-term pullback in US stock indices.
 
Record short positioning of systematic traders in Q1 2026—profit-taking pullback likely.

This segment of systematic traders has emerged as one of the most influential forces in equity markets in recent months. Having established aggressive short positions in spring 2025 and again in 2026, the group reached its longest and most extreme short exposure on record. Such outsized positioning suggests that systematic traders are now poised to take profits, thereby increasing the likelihood of a near-term correction in major US stock indices.
 
By early May 2026, a broad consensus had emerged among Goldman Sachs, JPMorgan, and Bank of America that the prevailing buying impulse in US equities had largely exhausted itself. Goldman Sachs specifically highlights that systematic traders (CTAs) remain positioned at sizable long levels—approximately $32–44 billion net in the S&P 500—but are poised to shift toward neutral or modest selling in flat or declining markets. Should key downside thresholds be breached, this could trigger substantial selling pressure exceeding $50 billion. 
 
Nobody wants puts on the Nasdaq: The put/call ratio has collapsed to its lowest
level since 2023. Near-term mean reversion and price consolidation next?

Taken together, these flows indicate that the momentum-driven buying that fueled the recent rebound has become stretched, pointing to a material decline in marginal demand. For individual retail investors, this setup implies an elevated risk of near-term exhaustion or pullback in major indices and technology stocks once systematic support diminishes. While continuation remains possible in a strong uptrend supported by further modest CTA buying, any meaningful stall or breakdown could rapidly amplify selling pressure.
 
Reference: 
 
US equity market breadth is at one of its lowest levels since the 1980s, reaching near-record lows on a long-term chart from 1985–2025. The latest reading sits far below average and one standard deviation below the mean, signaling extreme narrowness despite repeated new highs in major indices. This is driven by heavy capital concentration in a small number of AI, semiconductor, optics, and memory stocks, which are powering index gains while the vast majority of equities significantly lag. 
The S&P 500 just saw the largest call-buying day in history: $2.6T in call volume. Massive call buying forces market makers to hedge by buying stocks, pushing prices higher, triggering more hedging, and fueling a gamma squeeze. It’s powerful on the way up—and vicious on the way down when flows unwind or calls expire. This isn’t fundamentals driving markets anymore. It’s options flow moving the world’s largest index. The question isn’t if it unwinds — it’s when.   

ES (daily candles): Expect a pullback or sideways consolidation toward at least the neutral mean (solid black rising line)—the equilibrium point between the premium (overextended upper red) and discount (overextended lower green) zones. 
 
Major banks show broad agreement on resilient 2026 S&P 500 earnings growth driven by AI and the economy, but diverge on the index target due to differing views on valuation multiples. Here is a combined comparison table of their latest 2026 forecasts (as of late April 2026): Goldman Sachs, JPMorgan, and Morgan Stanley are constructive, viewing the price-EPS divergence as a buying opportunity with prices likely to catch up to upward earnings revisions. Bank of America is the most cautious, anticipating further P/E compression despite solid EPS growth.   
See also: 

Monday, May 4, 2026

Hedge Funds Dump Tech, While Retail Piles Into QQQ | Jason Goepfert

Hedge funds sold US tech stocks at the second-most aggressive pace in a decade (largest net selling since 2021), according to Goldman Sachs Prime Book data.

Everybody back in the pool: 21-day sum of daily fund flows in QQQ.
 
This institutional selling coincides with strong retail buying, as rolling 21-day QQQ fund flows hit the third-largest inflow in recent years—even as Nasdaq 100 prices rise. A classic smart money versus retail divergence. May 7 (Thu) is the scheduled ITD #5 peak (± 4 CD) in US stocks.
 

Goldman Sachs Prime Book, as of April 30: Go with the flow.
The GS Prime Book reflects aggregated activity from Goldman's prime brokerage clients (a large but not complete slice of the hedge fund universe), so it's directional but not exhaustive. Similar insights sometimes come from JPMorgan or Morgan Stanley prime services reports. Goepfert specializes in sentiment indicators, including fund flows, options activity, positioning (e.g., hedge funds via prime broker data like Goldman Sachs), and retail vs. institutional behavior (e.g. Dump Money Confidence vs. Smart Money Confidence). Access requires a subscription, but he often shares highlights on X.

As of May 1, Dumb Money Confidence was very optimistic,
while Smart Money Confidence was neutral. 

Tuesday, February 4, 2025

The Most Consistent Seasonal Patterns in the S&P 500 | With Statistics

Excluding the specifics of the decennial and presidential cycles, the average annual cycle of the S&P 500 since 2004 reveals five consistent seasonal periods, three of which are suitable for high-probability swing trades (90%+):
 
S&P 500 average annual cycle (2014-2024).
Since the S&P rises 70% of the time, bearish trends are less consistent than bullish ones. 
The average annual performance of this seasonal strategy was +18.91%.  

# 1: Mid-February to Late-March Decline: Price action shows an important top between February 14 and 15, followed by a bearish trend lasting into March 20. 
 
 Bearish from February 14-15 High to March 20 Low (2004-2023).
Average move lower: -2.35% (during 12 out of 20 years, down = 60%).
[ ¡ stats in tab referring to February 15 to March 1 (not March 20) - typo, error ?]

# 2: Late-March Rebound: Over the past 20 years, the S&P 500 has risen 18 times between March 23 and April 27.
 
 Bullish from March 23 Low to April 27 High (2004-2023).
Average move higher: +4.78% (during 18 out of 20 years, up = 90%).

# 3: July Rally: Since 2009, the S&P 500 has always risen between June 27 and July 25. Not most years. Every single year.
 
 Bullish from June 27 Low to July 25 High (2009-2023).
Average move higher: +4.27% (during 15 out of 15 years, up = 100%).
 
# 4: September Chop: Lack of clear bullish or bearish trends; tentatively sideways to down.
 
September chop between September 1 High to September 30 Low (2009-2023).
Average move higher: +2.77%. Average move lower: -2.63% (during 8 out of 15 years, down = 53%).

# 5
: November Rally:  S&P 500 consistently rising since 2004 and averaging a 4.88% gain.

Bullish from October 25 Low to November 30 High (2004-2023)
Average move higher: +4.88% (during 18 out of 20 years, up = 90%).

Reference:
 
 S&P 500 Seasonality (2000-2025).
 
February averaged 0.1% gain over the past 
five decades, with positive results at 56%.
 
Med
ian Monthly Flow into Equity Mutual Funds and ETFs
as a % of total Assets Under Management (1996-January 2025).