Quantarded Weekly Signals #010 — Week 9, 2026

This week closed modestly positive on a simple basis, but slightly negative on a weighted basis, underscoring once again how concentration shapes outcomes.

For context, this week Quantarded processed 39 House trade disclosures filed during the week, 311,469 Reddit comments analyzed and 38,599 stock ticker mentions detected and classified. As always, what matters is not volume alone, but how agreement evolves as volume grows.

Over February 28 to March 1, the Middle East risk backdrop escalated materially, with markets repricing energy and broader risk premia. In practice, these episodes tend to transmit through a few mechanical channels: higher oil and freight costs, wider volatility, and a faster rotation toward defensives and safety trades, even when the fundamental impact is still uncertain. Oil jumps 10% on Iran conflict and could spike to $100 a barrel, analysts say.

Reddit picks

As a reminder, a ticker is labeled BUY or SELL only when it clears a minimum imbalance threshold. High visibility alone is not sufficient; divided sentiment is explicitly penalized.

This week’s basket is unusually "clean" directionally: all five names clear the threshold as BUY signals. The dispersion is therefore less about direction and more about structure, namely how much of the basket is concentrated in broad, index-like participation versus narrower, more idiosyncratic signals.

$NFLX: BUY, 33% share

$NFLX carries the highest confidence in the basket. The imbalance is clearly positive, and the participation profile is broad: there are meaningful submissions plus a large comment base. That combination is typically what a stable signal looks like in this system, sustained agreement rather than a single flash event.

Netflix was in the news flow this week around the Warner Bros transaction headlines and investor reactions. See: Netflix surges as investors cheer decision to exit Warner Bros race and Paramount Skydance wins Warner Bros; Netflix walks away and its shares jump.

$SPY: BUY, 28% share

$SPY is the largest position, and it reads as the most breadth-driven inclusion of the week.

Structurally, the crowd leaned risk-on at the index level. That can dampen single-name idiosyncratic noise, but it also means the basket is more exposed to macro shocks and regime shifts than a pure meme-week.

Broad-market positioning and the S&P 500 narrative remained in focus during the week. See: S&P 500 flirts with record high; chipmakers and small caps in focus and State Street SPDR S&P 500 ETF Trust quote page.

$PLTR: BUY, 15% share

$PLTR is a mid-weight BUY with a clean positive imbalance, but noticeably lower confidence than the top two names.

The extended breakdown shows that most of the activity is comment-driven rather than submission-driven. That does not make it invalid, but it often makes the signal more fragile, because concentrated discussion clusters can fade quickly as attention rotates.

In other words, this looks like directional agreement, but with less structural ballast than $SPY and $NFLX. At 13% share it matters, but it is not carrying the whole basket.

Palantir has been in the cycle around government and defense-adjacent demand and its quarterly outlook. See: Palantir rallies after bumper quarter fueled by US defense spending and Palantir CEO defends surveillance tech as US government contracts boost sales.

$AAPL: BUY, 13% share

$AAPL clears the threshold as a smaller BUY with low-to-moderate confidence, but a reasonably strong imbalance profile.

Participation is present across both submissions and comments, which is supportive, but the basket share is small enough that it functions more as diversification than as a primary driver. This is the kind of name that can improve stability at the margin, without determining the weekly print. At this weight, you should treat it as a secondary contributor: it can help or hurt, but it is unlikely to dominate the outcome unless the rest of the basket is unusually flat.

Apple saw coverage around supply chain and manufacturing footprint decisions, and governance and regulatory headlines. See: Apple plans to manufacture Mac Mini in Houston, WSJ reports and Apple shareholders reject call for report on China manufacturing risks.

$LMT: BUY, 11% share

$LMT has the sharpest imbalance profile in the basket. Given the weekend macro backdrop, it is also worth noting that defense names can see higher sensitivity to headlines. That is not a causal claim about returns, just a reminder about the kind of tape $LMT often trades in.

Lockheed has been in the news cycle around defense procurement, production capacity, and allied procurement discussions. See: Lockheed Martin sets profit-sharing deal with US, outlook pleases investors and US ambassador urges Portugal to buy F-35s, join top-tier air forces.

Performance review

Last week’s results

Early strength faded mid-week as higher-weight names weakened, limiting recovery despite isolated positive sessions.

Dispersion again defined the outcome. One large-cap name posted a meaningful weekly decline, while others were flat to modestly positive. The aggregate result reflects how concentration amplifies single-name moves.

Portfolio tracking

• End of 26W8 return: -1.62%
• YTD (2026) return: +11.31%
• Cumulative return since inception: +22.64%

As of 2026-03-01, the portfolio stands at $12,209.76 starting from $10,000 on 2025-12-21.

Knowing the algorithm: Beta vs alpha weeks

Quantarded is a signal extraction pipeline, not a price model. On the WSB side, it maps a stream of Reddit events into a weekly ticker score by applying (1) recency decay, (2) modest weighting differences between submissions and comments, (3) aggregation across the ISO week, and then (4) an explicit BUY vs SELL imbalance gate so that visibility alone cannot qualify as a signal.

A useful way to interpret the output is to ask a classic finance question: are we seeing beta (market exposure) or something closer to alpha (benchmark-relative, idiosyncratic edge)?

In standard terms, beta is the sensitivity of an asset’s returns to the market’s returns, often defined as β_i = Cov(r_i, r_m) / Var(r_m)i = Cov(ri, rm) / Var(rm)` (Investopedia: Beta). Under CAPM, expected return is decomposed as E[r_i] = r_f + β_i · (E[r_m] - r_f)i] = rf + βi · (E[rm] - r_f)` (Investopedia: CAPM). Quantarded does not estimate β directly, but beta is still a useful mental model for what happens when the crowd concentrates on index proxies.

Why $SPY changes the character of the basket

When the basket contains $SPY as a large weight, the portfolio’s realized behavior becomes mechanically more macro-regime dependent. This is not a narrative claim. It is structural.

$SPY is designed to track the S&P 500 (before fees and expenses) (SPDR SPY fact sheet). If a meaningful share of the basket is an index proxy, the basket inherits exposure to systematic risk by construction (Investopedia: Systematic risk).

A back-of-the-envelope identity that helps frame this, without estimating any new parameters, is the portfolio beta approximation:

We are not running a regression here. The point is simpler: when w_SPYSPY is large, it is difficult for ββ_port to be small, almost regardless of what the other names are.

A rigorous interpretation rule for Week 9

Week 9 can be classified using only the model’s own outputs (basket shares, confidence, and breadth cues from the extended breakdown). The structure is unusually clean directionally (all BUY), so the interesting part is not sign, it is exposure type.

• Beta anchor: $SPY at 28% share
• Mega-cap beta-ish sleeve: $NFLX at 33% share and $AAPL at 13% share
• Idiosyncratic sleeve: $PLTR at 15% share and $LMT at 11% share

Label: this is a beta week (Investopedia: Alpha vs beta).

The key nuance is that this is a mixed beta week. $SPY is not the single dominant majority weight, but the basket still has a large “market-like” component once you include $SPY plus the mega-cap sleeve. That raises the probability that macro regime explains more of the weekly variance than single-name narratives do.

Why this matters in a geopolitical shock weekend

Because the WSB signal is recency-weighted and recomputed over the week, it is naturally sensitive to regime shifts, including those that occur outside market hours. That does not mean the algorithm forecasts news. It means the portfolio can carry gap risk when the basket is beta-heavy.

This weekend is a clean example of the kind of input that can move macro pricing. Reuters reported a sharp oil move tied to escalation risk and uncertainty (Oil jumps 10% on Iran conflict risk) and further reporting on strikes and escalation dynamics (More strikes aimed at Iran after U.S.-Israeli assault).

The subscriber takeaway is not "this causes the portfolio to do X." It is:

• If Monday opens with macro gap risk dominating price discovery, expect the basket to behave more like an index than like five independent stock picks, because a large share of the basket is explicitly market-proxy and mega-cap exposure.
• In that regime, single-name dispersion is second-order. The idiosyncratic sleeve can add variance, but the first-order driver is the systematic component.

That is the practical difference between alpha-style weeks (mostly idiosyncratic names, low index-proxy weight) and beta-style weeks (index proxy plus mega-cap sleeve is a large share). Quantarded is not trying to choose beta, but it can accidentally do so when the crowd expresses conviction at the index layer.

Disclaimer

This newsletter is not financial advice.

All content is provided for informational and educational purposes only. Markets involve risk, including loss of principal. Past performance does not guarantee future results. Always do your own research.

Links

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