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QQQ Asset Analysis

A guided view of price action, fund profile, quant behavior, and AI-style research notes.

Updated now
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OverviewPriceEventsThesisQuantProfileFund dataAI notes

Overview

QQQ · Invesco QQQ Trust

ETF · US growth equity · NASDAQ

Live data

Current price

0.4%
$738.31

USD

Asset class

ETF

Invesco

Yield

0.6%

Nasdaq-100

Expense ratio

0.20%

100 holdings

Price graph

1-year price history

0.4%

AI analysis

Research assistant

Quant context: NeutralReturnNet context attached

Asset overview: Invesco QQQ Trust (QQQ) is a ETF focused on US growth equity.

Exposure: Benchmark context is Nasdaq-100 and the issuer is Invesco.

Income and rate profile: Distribution yield is 0.6%.

Costs: Expense ratio is 0.20%.

Risks: Price behavior can be affected by rates, credit spreads, liquidity, benchmark composition, commodity prices, tracking error, and fund structure.

Educational summary: This is asset research context only and is not financial advice or a buy/sell recommendation.

Earnings calendar

Upcoming catalysts

No earnings calendar events were returned for this ticker.

SEC filing viewer

10-K / 10-Q summaries

No recent 10-K or 10-Q filings were found.

No SEC filing selected.

Insider transactions

Recent Form 4 activity

No recent insider transaction data was returned.

Institutional ownership

Major holders

Largest reported institutional positions from the current provider feed.

No major-holder data was returned by the configured provider for this ticker. SEC filings and insider activity remain available above when reported.

Thesis tracker

Bear-case monitor

Write the reason you care about QQQ, then test whether the latest financials, filings, catalysts, insider data, and price action support or weaken it.

Catalysts

0

Positive / caution

0 / 0

Filings tracked

0

Integrity score

--/100
Not checked

No thesis score yet. Save a thesis and run the integrity check to generate the monitor.

Provider: not generated. Educational research only.

The tracker will turn your thesis into concrete disconfirming evidence and a reusable monitoring checklist.

Educational thesis tracking only. This is not investment advice and does not recommend buying, selling, or holding any security.

Quant lab

Signals and ML forecast

Technical indicators, tail-risk statistics, and a validation-gated log-return model for QQQ. Educational only.

Neutral

Quant score

57/100

Trend 82 / Risk 55

ML next close

0.1%
$737.3

2026-06-01

EWMA volatility

17.4%

Downside vol 15.7%

Tail risk

2.30%

CVaR 3.25% / Max DD -35.6%

Price, bands, and forecast

Close, 20-day average, 50-day EMA, Bollinger range, and next-session model point.

Close SMA 20 Forecast

Validated return model

Expected move

-0.1%

Confidence

22%

Edge

-14.0%

Val samples

297

Next-session range: $718.5 to $756.6

Chronological ridge autoregression on standardized lag, momentum, volatility, drawdown-tail, and slope features.

Indicator table

RSI 1467.5

Momentum oscillator

MACD21.47 / 21.44

Line / signal

Bollinger position90.8%

0% lower band, 100% upper band

Daily move0.4%

Latest close vs prior close

Model RMSE1.57%

Chronological validation log-return error

Best baseline RMSE1.38%

Lower of zero-return and mean-return baselines

Validation hit rate51.9%

Predicted sign vs actual sign

Trend score
82/100

Moving averages, MACD, RSI

Risk score
55/100

Volatility and drawdown control

Model score
33/100

Sequence forecast and fit quality

Risk and regime diagnostics

Annualized return

17.4%

Compounded from mean daily log return

Downside volatility

15.7%

Annualized negative-return deviation

95% VaR

2.30%

Historical one-day loss threshold

95% CVaR

3.25%

Average loss inside the 5% tail

Sortino

1.02

Return per unit downside volatility

Calmar

0.49

Return divided by max drawdown

Hurst

0.63

Trend persistence estimate

Regime

High-volatility stress

1254 daily return observations

Quant readout

Price is trading above its 20-day average, which supports short-term momentum.

RSI is in a balanced range, so the signal is not dominated by overbought or oversold pressure.

EWMA realized volatility is moderate, so the model signal is less likely to be overwhelmed by daily noise.

Tail risk check: historical 95% one-day VaR is 2.3% and CVaR is 3.25%.

The return model has not beaten its simple baseline on the chronological validation split, so the forecast is heavily shrunk.

The forecast is an educational log-return model with validation-gated shrinkage, not a price target or investment advice.

Custom model

Train ReturnNet for QQQ

A custom neural network trains locally on next-session log returns and stores the latest fitted run in this browser. Scaling is fit on the training window only, with a chronological validation split and baseline gates.

No run yet

Model preset

Window

10

Layers

12

Features

Lags

Epochs

360

Predicted close

N/A

Awaiting training

Confidence

N/A

Awaiting training

Direction accuracy

N/A

Chronological validation

Model vs baseline

N/A

Log-return RMSE vs zero return

Forecast shrink

N/A

Validation gated

Neural network map

Planned architecture shown before training.

145 params10 inputs12 hidden
Returns10 nodesReturns 1Returns 2Returns 3Returns 4Returns 5Returns 6Returns 7Returns 8Returns 9Returns 10Hidden 112 nodesHidden 1 1Hidden 1 2Hidden 1 3Hidden 1 5Hidden 1 6Hidden 1 7Hidden 1 8Hidden 1 10Hidden 1 11Hidden 1 12...Return1 nodesReturn 1y
Green positive learned weight
Red negative learned weight
Thicker lines carry stronger weight magnitude

Prediction performance tracker

Each new training run logs a next-session forecast for QQQ. Completed rows score the model once the target close appears in price history.

Scored / pending

0 / 0

Forecasts tracked

Direction hit rate

N/A

Predicted sign vs actual

Return RMSE

N/A

Needs scored rows

Edge vs zero

N/A

Needs scored rows

Price MAE

N/A

Average absolute miss

Range capture

N/A

Actual inside predicted range

TargetPresetPredictionActualReturn errorHitRange
Train a model to begin tracking live prediction performance.

Out-of-sample scoreboard

Validation split compared against simple return baselines.

Model RMSE

N/A

Zero baseline

N/A

Mean baseline

N/A

Momentum baseline

N/A

Edge vs zero

N/A

Edge vs momentum

N/A

Best epoch

N/A

Early stop

N/A

Validation windowModel RMSEZero baselineHit rateSamples
Train a model to generate walk-forward diagnostics.

Training loss

Feature importance

No fitted weights yet.

Asset profile

Fund and exposure details

This ticker is modeled as a listed asset rather than an operating company, so SEC financial statements and valuation ratios are not the main lens. Use price history, quant behavior, exposure, yield, duration, fees, and benchmark context instead.

Asset class

ETF

Issuer

Invesco

Category

US growth equity

Benchmark

Nasdaq-100

Expense ratio

0.20%

Distribution yield

0.60%

Duration

N/A

Credit quality

N/A

Holdings

100

Fund data

Exposure snapshot

BenchmarkNasdaq-100
CategoryUS growth equity
IssuerInvesco
Expense0.20%
Yield0.60%
DurationN/A
Issuer site