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[01]Research engine

Quant research for market opportunities before they become obvious.

CreativeQuant Market uses quantitative signals, historical data, news context, and risk scoring to produce daily and long-horizon research watchlists — built for investors who want structure, not hype.

No hype or social picks
No guaranteed returns
Quantitative structure
Risk always visible

Educational research only. Not personalized financial advice.

Research Terminal PreviewSample Data Only
cq-market / daily-watchlist / SAMPLE-ONLY
DailyWeekly1M3M12M
#1
NVDA
NVIDIA Corp
Daily
Score
91
Risk
Medium
#2
PLTR
Palantir Technologies
Weekly
Score
86
Risk
Med-High
#3
XOM
Exxon Mobil Corp
3M
Score
78
Risk
Low-Med
Signal Summary — Example (NVDA)
Momentum Score
79
Volatility Index
52
News/Sentiment
74
Confidence Band
68

SAMPLE ONLY — Mock data for product preview. Not a current recommendation. Not investment advice.

Sample Research

What a daily watchlist looks like.

Below is a product preview showing the format of a CreativeQuant Market research briefing. Model scores are illustrative. Market data is live/delayed from the data provider. Nothing here is a recommendation to buy or sell any security.

Sample Watchlist

Live market data · Not a recommendation

Mock
Fetching market data…

SAMPLE WATCHLIST — Market data may be delayed, cached, or unavailable depending on the data provider. Watchlist tickers are shown for product preview and research demonstration only. Model scores are illustrative until the research engine is fully connected. This is not investment advice or a recommendation to buy or sell any security.

Chart takeaway

Strongest momentum on the list and the model's top rank — the trade-off is an elevated-volatility, watch-it-daily name.

NVDA125.17+8.6%
Momentum build
sample data — not live
Apr 8hover to inspectAug 27
What the annotations mean

Green marks where the model flags a constructive setup; the crosshair lets you read any bar. Hover or drag across the chart.

Why risk stays pinned

Red marks the bar where volatility or news could invalidate the read. Risk is annotated on the chart, never hidden in a footnote.

Illustrative Research Notes — Sample Only
#1NVDANVIDIA Corp
Daily HorizonRank #1Illustrative Model Score: 91 / 100
Confidence Band
68–79%
Risk Level
Medium
Takeaway

Strongest momentum on the list and the model's top rank — the trade-off is an elevated-volatility, watch-it-daily name.

Momentum
88
Sentiment
79
Risk Score
62
Research Note — why it ranks

Semiconductor sector showing elevated relative strength. Volume expansion and momentum confluence across multiple timeframes. AI infrastructure spending cycle context tracked.

Invalidation — what breaks the thesis

Break below 20-day moving average on volume, or sector rotation away from technology and semiconductors.

#2PLTRPalantir Technologies
Weekly HorizonRank #2Illustrative Model Score: 86 / 100
Confidence Band
62–74%
Risk Level
Med-High
Takeaway

High sentiment and momentum, but the widest risk band here — a size-it-smaller, higher-volatility position.

Momentum
74
Sentiment
83
Risk Score
71
Research Note — why it ranks

AI/data analytics sector positioning. News sentiment elevated. Higher volatility profile noted — wider expected range relative to sector peers.

Invalidation — what breaks the thesis

Sentiment reversal, earnings disappointment, or broader software sector selloff.

#3XOMExxon Mobil Corp
3M HorizonRank #3Illustrative Model Score: 78 / 100
Confidence Band
58–70%
Risk Level
Low-Med
Takeaway

Lowest momentum but the best risk-adjusted profile — the defensive, slower multi-month name on the list.

Momentum
61
Sentiment
65
Risk Score
45
Research Note — why it ranks

Defensive energy positioning in current macro regime. Lower momentum but favorable risk-adjusted profile for a multi-month horizon. Dividend yield context included in score.

Invalidation — what breaks the thesis

Significant decline in oil prices, macro demand destruction signal, or broad energy sector rotation.

Sample Disclaimer

SAMPLE WATCHLIST — All model scores, research notes, and confidence bands shown above are illustrative mock data for product preview purposes only. Live market data (price, volume, returns) is provided by a third-party data provider and may be delayed. Market data is shown for research demonstration only. This is not a current recommendation, not investment advice, and not a suggestion to buy or sell any security. CreativeQuant Market provides educational research only. Investing involves risk, including loss of principal.

Want the full walkthrough of a single score?How to read a CQ Alpha score →
How to read Market

Research reads — not stock picks.

Every name on the dashboard carries four reads. Learn them once and the whole engine becomes legible — and clearly distinct from a buy/sell tip service.

Score

A research rank within the universe.

Not a buy or sell command.

Confidence

How much usable data supported the score.

Not certainty about the outcome.

Source / Freshness

Input quality — which provider, how current.

Stale or missing data is handled, not guessed.

Forward Test

Measured after time passes, on stored snapshots.

Not a performance claim — yet.

The system, end to end
  1. Data
  2. Normalize
  3. CQ Alpha Score
  4. Confidence
  5. Snapshot
  6. Forward Test

Educational research only — not investment advice, and never a buy or sell signal.

Methodology

A model built on data, not opinion.

CreativeQuant Market synthesizes quantitative signals into a composite model score — producing structured research across five time horizons. Less hype. More process.

Not hype

No social media picks, no narrative-driven calls, no guaranteed returns.

Not guesses

Every ranking is backed by quantitative inputs, not opinion or trend-chasing.

Structured process

A repeatable model that ranks by signal strength and risk-adjusted confluence.

Risk stays visible

Invalidation conditions, volatility profiles, and downside scenarios are part of every output.

Price & Momentum
  • Price momentum (20/50/200-day)
  • Relative strength vs SPY / sector
  • Volume expansion patterns
  • RSI and oscillator signals
Risk & Volatility
  • Historical volatility (30/60-day)
  • Drawdown depth and duration
  • Beta and benchmark correlation
  • Expected range estimates
Fundamentals
  • Revenue and earnings growth
  • Valuation multiples vs sector
  • Analyst estimate revisions
  • Earnings calendar and catalysts
News & Macro
  • News flow volume and direction
  • Sentiment signal aggregation
  • Sector narrative context
  • Macro regime classification
Model Principle

The model ranks setups by signal strength and risk-adjusted confluence. It does not predict the future. All outputs are educational research — not investment advice. Model outputs can be wrong, incomplete, or outdated.

Research time horizons
Daily
1–5 days
Weekly
1–4 weeks
Monthly
~1 month
3-Month
1–3 months
12-Month
6–12 months

Each horizon uses the same scoring model — calibrated for the frequency and risk profile of that timeframe.

Read the full methodology →
The engine

Built like infrastructure, not a stock-pick newsletter.

Every score is computed, stored, and stamped with its sources, freshness, and confidence. The market engine keeps the receipts — point-in-time snapshots, not hand-wavy calls.

cq-market / engine.tsillustrative
// score the research universe, point-in-time
const snapshot = await computeMarketSnapshot({
  universe: "expanded-large-cap",
  storage: "postgres",
  confidenceAware: true,
})

// missing data is never invented
if (!signal.available) {
  return neutralizeWithLowerConfidence(signal.reason)
}
run log
  • [cache hit]scores served · cq-alpha:v1
  • [provider]news sentiment · 50 items
  • [neutralized]missing feed · confidence lowered
  • [snapshot]stored · point-in-time
Data pipeline
  1. Providers
  2. Normalize
  3. CQ Alpha
  4. Confidence
  5. Snapshot
  6. Postgres
Snapshotstored
scope
expanded-large-cap
records
scores + factors
kind
point-in-time
store
postgres
Confidence-awareupdated

Every score carries a 0–100% confidence. When a feed is missing, the factor neutralizes and confidence falls — it's never guessed.

0.85
Provider freshness
freshcacheddelayeddegraded

Educational research infrastructure. Forward-test record still accumulating — not a performance claim, and not personalized financial advice.

Engine lineage

One method, three notebooks — honest about what's proven.

CQ Alpha runs as a lineage of engines. v2-bars is the primary public score — wider and deeper than before, computed offline from stored bars. v2.1-fundamentals layers on as a partial fundamentals overlay, and v1is retained as a legacy fallback. It's a research forward-test: ranked, but nothing here is a performance claim.

Price bars
276/284
full depth · 7 partial · 1 missing
Fundamentals
26/284
covered · 12 stale >90d
Freshest data
2026-07-09
fundamentals 2026-07-06
Forward test
96 legs
1-week legs filled
Live · publicPublic
v2-bars

CQ Alpha v2-bars

The primary public engine. Price-structure score computed offline from stored daily bars across a 284-name universe, so the cross-sectional statistics are real and there is no live-API cap. Removes v1's momentum/1-month contamination. A research forward-test — ranked, but not proven.

Data inputs
  • Stored daily price bars (point-in-time)
  • Benchmark & sector ETF bars
Runs
4
Scored
283
Avg conf
85%
Internal · forward testOverlay
v2.1-fundamentals

CQ Alpha v2.1-fundamentals

v2-bars plus value / quality / growth factors from a point-in-time fundamentals store (60% price, 40% fundamentals). Shown as a partial overlay (a fundamentals-backed badge) while coverage grows; names without a stored row renormalize toward the price factors — never faked. Not the default ranking yet.

Data inputs
  • Everything in v2-bars
  • Point-in-time fundamentals (P/E, P/B, margins, ROE, growth)
Runs
3
Scored
283
Avg conf
52%
Legacy · fallbackLegacy
v1

CQ Alpha v1

The original live-provider engine: 9 factor families scored from real-time data across a ~15-name core universe. Retained as an automatic fallback and for lineage — no longer the primary public ranking.

Data inputs
  • Live price history
  • Fundamentals (FMP / SEC EDGAR)
  • 13F institutional ownership
  • Earnings revisions & sentiment (when a feed is available)
Runs
41
Scored
75
Avg conf
35%

Coverage and run counts are read live from stored data — never invented. Exact CQ Alpha weights are not shown. Forward-test record still accumulating: this is educational research, not a performance claim and not investment advice.

Early Access

Early access is opening soon.

CreativeQuant Market is not yet publicly available. We're onboarding a small early access cohort to validate the research format. Join the waitlist and you'll be among the first to receive access.

Early Access Waitlist

Get in early.

Early access members help shape the research format. Tell us your time horizon, experience level, and what you need — we'll build around the actual requirements of our earliest subscribers.

No payment required. Educational research only. Not financial advice.

Planned pricingNot yet live

Subscription tiers are planned for after the early access research format is validated. No payments are being collected at this time.

Preview
Free
Weekly market summary
  • Weekly research briefing
  • Market regime note
  • 3 watchlist examples
Starter
$19/mo
Daily + weekly watchlists
  • Daily research watchlist
  • Weekly setups
  • Risk scores per name
  • Email delivery
Most Complete
Pro
$49/mo
Full research suite
  • All time horizons
  • Full model output
  • Methodology notes
  • Invalidation tracking
Research Plus
$99/mo
Premium + archive
  • Everything in Pro
  • Report archive access
  • Priority updates
  • Future: sector deep-dives
Important Disclaimer

CreativeQuant Market provides educational market research and model-generated watchlists. It is not personalized financial advice, investment advice, or a recommendation to buy or sell any security. Markets involve risk, including loss of principal. Model outputs can be wrong, incomplete, or outdated. Always do your own research.

FAQ

Common questions.

Is this financial advice?

No. CreativeQuant Market provides educational market research and model-generated watchlists. It is not personalized financial advice, investment advice, or a recommendation to buy or sell any security. Always do your own research and consult a qualified financial professional before making any investment decision.

Are these guaranteed picks?

No. There are no guaranteed picks, no guaranteed returns, and no certainty of any outcome. Markets involve risk, including loss of principal. The model ranks setups by signal strength — it does not predict the future.

How are stocks ranked?

The model synthesizes quantitative signals — price momentum, relative strength, volume, volatility, fundamentals, sentiment, and macro regime — into a composite model score. Higher scores indicate stronger signal confluence, not guaranteed performance.

How often are reports published?

Planned cadence: daily watchlists (trading days), weekly setups, monthly opportunities, 3-month themes, and a 12-month compounder list. Report frequency may vary during early access.

Is this for day trading?

Not primarily. While daily watchlists include shorter-horizon setups, CreativeQuant Market is built for investors who want structured research — not rapid-fire trading signals. Risk management and invalidation conditions are central to every output.

Will there be a paid version?

Yes, subscription tiers are planned after early access validation. Planned pricing: free weekly preview → paid tiers ($19–$99/month). No payments are being collected yet.

Early Access

Get in before we open publicly.

Join early access and help shape the research format. Free while in beta. No payment required.

Join Early Access

Educational research only. Not financial advice.