Why retail traders can't see the full picture—and why it might not matter

Within a short span of each other, two of Wall Street's most-followed research desks highlighted a similar concern that was not apparent to retail traders looking at ordinary price charts.

Mizuho's multi-asset desk warned that momentum baskets had fully retraced, dropping below the lows from July's hedge fund unwind, and that the selloff had become self-fulfilling as systematic funds reduced risk. Around the same period, the chief technical strategist at JPMorgan made a more historically resonant comparison, informing clients that the divergence in AI stocks resembled the setup before the dot-com crash in 2000.

Dated August 21, the JPMorgan report described a market that appeared healthy on the surface. The S&P 500 traded just beneath resistance between 7,909 and 7,935, while still holding above support near 7,521 to 7,620, a technically bullish picture by standard measures. However, the underlying data painted a different picture. In a typical rally, the strategist observed, the firms purchasing chips and those selling them usually advance together. He compared the current environment to 1999, when communications equipment makers soared while the major capital spenders behind them collapsed from peak valuations. Today's version of that divergence was pronounced: the Philadelphia Semiconductor Index had gained 87% for the year and recorded its best quarter ever, but the hyperscalers financing the AI buildout were trailing sharply, with Microsoft experiencing its worst monthly drop since 2000 (the tech bubble) and Meta down for the year. The strategist's conclusion was that the index could appear bullish on the surface while weakening underneath, and that conditions could worsen rapidly as September approached.

The link between the Mizuho and JPMorgan notes is not the particular prediction but the nature of the evidence. Both relied on internal data such as positioning, factor basket construction, and proprietary technical levels that reside within institutional research, not on information available to retail traders on standard charting tools. This is significant because it reveals a structural disparity in what various market participants can observe.

A tool retail traders cannot access

Consider the Morgan Stanley Tech Momentum Index (ticker MSZZTMTM) as a concrete illustration of this gap. This proprietary index, from the same family as Morgan Stanley's broader US momentum offerings, appears to track a long-short pair trade in tech, media, and telecom stocks ranked by momentum and rebalanced systematically. In July's momentum unwind, its 17-day rate of change fell to negative 35.9%, reported at the time as the steepest drop in the index's 27-year history. A few days later, during the subsequent short squeeze, the same factor rose over 12% in a single session, the largest one-day increase on record, exceeding even the 2000 dot-com unwind.

This is a highly detailed and useful signal, but it is entirely hidden from anyone outside a small group of institutional clients. MSZZTMTM does not have a public ticker on Yahoo Finance, Google Finance, or any retail charting platform. It is not listed on an exchange. The only feasible ways to access it are via a Bloomberg terminal (costing roughly $2,000 per month per seat), through direct access to Morgan Stanley's prime brokerage or Quantitative Investment Strategies desk, or secondhand when a strategist mentions a data point from it in a note that later appears in financial media. For most independent and retail traders, that cost alone makes the index inaccessible, and even those who can afford it still need the right relationship or mandate to obtain the underlying data feed.

This is the true nature of the access gap. It is not that retail traders are poor at interpreting markets. Rather, a whole layer of the market, constructed from data that most people never see, influences the positioning of the largest and most sophisticated players, and that layer is only seen in fragments, after the fact, when a sell-side note references it.

Proxies and their subtle divergences

Confronted with this gap, the natural reaction is to look for a public substitute. For tech-focused momentum specifically, the most obvious options are the iShares MSCI USA Momentum Factor ETF (MTUM) and the Invesco S&P 500 High Beta ETF (SPHB), both of which can be charted freely on TradingView, Yahoo Finance, or any standard platform. For a closer match to MSZZTMTM's tech concentration, the Invesco S&P 500 Momentum ETF (SPMO) and the Invesco Dorsey Wright Technology Momentum ETF (PTF) narrow the gap further.

These are helpful, but they are not the same product, and the differences are more significant than they initially seem. MTUM and similar funds are long-only, holding only the winners, whereas a pair-trade index like MSZZTMTM is constructed long and short at the same time, so it captures the full force of a short squeeze or forced unwind on both sides. A long-only proxy cannot duplicate that magnitude. The rebalancing schedule also introduces drift, because MTUM's holdings are set on a periodic basis rather than adjusted daily, meaning it can still contain names that were momentum leaders months ago even as real-time leadership shifts.

This gap is not just theoretical. When Mizuho reported that momentum baskets had broken below their July lows in a new self-fulfilling unwind, the natural retail proxy, MTUM, did not show that at all. Its July low was $302.09, recorded on July 17, and weeks later it was still trading well above that level, far from confirming the breakdown Mizuho saw in the actual proprietary baskets. Used without caution, such a proxy does not merely provide an incomplete picture; it can point in a completely different direction from the professional data.

Making the most of visible data

None of this should make retail traders feel excluded from the discussion, even if the frustration is understandable. The honest reality is that retail operates with a lower-resolution view of certain internals, and that cannot be changed by sheer desire. What helps is understanding exactly where the resolution declines, so that a proxy is used for what it is actually good for: a directional sense of whether momentum overall is strengthening or weakening, and not confused with a precise substitute for a number it was never designed to match.

That is the only viable approach. Concentrate on what you can control: your own price action, volume, risk management, and a disciplined skepticism toward any single data point, including your own proxies. View notes like Mizuho's and JPMorgan's as useful context about a market layer you cannot observe directly, rather than as instructions to copy. Professional desks will always have access to information that retail does not. The traders who succeed over the long term are not those who resent that gap, but those who develop a process robust enough not to require it to be closed.