Quasar for equities and Pulsar for crypto turn the setup on your screen into a ranked historical analogue set. Inspect the outcome range, downside case, and a versioned public record of scheduled signal outcomes before you act.
Finite Free Preview · No card required · Inspect the evidence before you pay
Illustrative workspace preview · sample data · not a current signal
Market data, research infrastructure, and supported broker connections.
A fixed public-ledger cohort covering up to 12 months of model-score-filtered directional signals and their recorded outcomes. This is research evidence, not an investable portfolio return or a promise of future performance.
The fixed public-ledger cohort is unavailable, ineligible, or too small to summarize responsibly right now. We do not substitute cached headline numbers. Open the track record to inspect the currently available outcomes, cohort controls, and methodology.
Illustrative examples of how Quasar (equities) and Pulsar (crypto) present historical analogue context, relative model-ranking scores, and outcome ranges for a setup.
Illustrative product examples, not current track-record results · review the API-backed outcome cohort above or open the public track-record methodology.
Quasar and Pulsar turn a current market setup into a searchable numerical fingerprint, then surface comparable historical patterns and the distribution of outcomes that followed.
Quasar encodes the setup on your screen, finds nearby patterns in the historical index, and shows the range of outcomes that followed. You get evidence and uncertainty in one research view instead of a bare indicator.
Pulsar extends the pattern-research workflow to crypto-native market structure, including price, available funding, and market-regime context. Its outcomes are reported using the same transparent cohort rules shown on the Results page.
Nine tools that connect an interesting chart to inspectable evidence, a documented risk case, and an optional read-only broker snapshot. Product visuals below use clearly labeled sample data.
Type a ticker. We surface ranked historical setups that look most like right now — and show you what happened next.
Model-ranked 5/10/20-day historical analogue distributions. Quasar on equities, Pulsar on crypto.
Head-and-shoulders, flags, and triangles are drawn on the chart with inspectable pattern context for that ticker.
Fresh scheduled setups before the U.S. session — each with entry, target, stop, observed outcome share and the supporting evidence.
An AI research assistant that can use available market snapshots, your default manual portfolio, and Quanta analysis context. Verify every response; it is not a trade instruction.
NVDA?0.88 · 8/10 illustrative analogues finished higher by day 10. Inspect the individual paths and downside case before acting.Stock and crypto candidates, ranked for deeper research by relative model evidence.
Up to three tickers, side by side. The workspace highlights the top-ranked result under the selected comparison rules.
Multiple triggers — including price, volume, pattern, model signal, and insider activity.
Link a supported brokerage through SnapTrade’s hosted flow to review available account, balance, and position data in Quanta’s connection view. The integration is read-only and the snapshot is not automatically injected into Copilot or asset analysis.
From data ingestion to a published signal receipt, the workflow keeps the historical context, risk case, and outcome method visible in one browser workspace.
Available U.S. market data, SEC Form 4 features, crypto market context, and optional read-only broker snapshots are accessible across the relevant product views.
Quasar (stocks) and Pulsar (crypto) are models we trained for market-pattern retrieval. Each new bar becomes a numerical fingerprint, then the system finds nearby historical setups. Not a fine-tuned LLM — pattern-matching infrastructure we own end-to-end.
Available signals include a relative model score, historical analogue outcomes, entry and risk levels, and an R-multiple. The separate Results page reports eligible matured directional outcomes with sample size, date coverage, score floor, uncertainty, profit factor, and methodology.
Scheduled signals land in the dashboard with a research receipt: the model factors, ranked historical analogues, entry, target, stop, and outcome context for the setup. Free Preview shows one directional summary each day. Pro unlocks the complete list and supporting detail.
Connect a supported brokerage through SnapTrade’s hosted flow to review available account, balance, and position data in the connection view. Verify it with your broker and place any order there.
Start with finite preview credits and no card. Eligible customers can evaluate Pro for $9 for 14 days, then it automatically renews at the selected charge unless canceled.
For traders evaluating the engine. No credit card required.
Start previewComplete Quasar & Pulsar workflows across the supported universe.
$9 · Try Pro for 14 days14-day paid evaluation. $9 today. Then $79 every month starting Sep 15, 2026, until canceled.
For active researchers who need the highest usage capacity.
Subscribe to EliteCompare a short list of setups, inspect the historical outcome range, and pressure-test the risk case before the opening bell.
Use model score, analogue outcomes, and the public cohort methodology to decide which chart setups deserve deeper research.
Rank a broad watchlist, inspect counter-cases, and add historical context before a thesis reaches the portfolio-decision stage.
Run a crypto setup through Pulsar to compare historical paths, downside ranges, and market-regime context before sizing risk.
Research the underlying with Quasar, then use Copilot to examine evidence, timing, and the counter-case behind a directional view.
Run Time Machine on a watchlist to add historical context to positions already under fundamental or portfolio review.
Inspect similarity evidence, model-score methodology, and fixed-cohort outcome controls as distinct layers of the workflow.
Use inspectable cohort controls and methodology when explaining what a signal says—and what it does not say—to an audience.
Compare a constrained list of opportunities and leave a slot unused when the historical evidence or risk case is weak.
Illustrative research workflows—not customer testimonials or promised outcomes. Historical signal or simulation results do not guarantee future results. See disclosures.
No. Quasar is a 128-dimensional embedding network we trained from scratch — a deep neural model, not a prompt. Gemini powers the conversational Copilot layer. Quasar's pattern workflow runs on our own versioned historical index and produces inspectable analogue evidence for deeper research.
Open the public Results page and inspect the eligible cohort, sample size, model-score floor, wins, losses, pending calls, date coverage, and outcome methodology together. The landing page shows a numeric summary only when the backend marks the cohort eligible and enough exact-horizon outcomes exist. Treat all historical outcomes as research evidence, not expected future returns.
They're primarily scanners and charting tools. Quanta adds ranked historical analogues and the range of outcomes that followed comparable setups. Different problem, different model. Use them together if you like; the Quanta workflow helps you decide whether a breakout deserves deeper research.
Yes. Signals can and do lose, and historical hit rates do not remove market risk. Quasar provides a historical outcome range and risk context for research; position sizing and any decision to trade remain yours. We're a tool, not a guarantee.
Create a no-card Free Preview, type a ticker, and Quasar returns a ranked set of historical analogues on demand. The preview includes finite credits so you can inspect the workflow before paying.
Yes. Pulsar applies the pattern-research workflow to supported crypto assets, with crypto-native market context layered into the analysis. Pro and Elite include the full crypto experience at no extra cost.
One click in account settings. Your subscription runs until the end of the current period and stops. No retention call, no win-back email, no friction. We'd rather lose a customer who isn't getting value than keep one out of inertia.
No. Quanta AI is research and analytics software. Past performance does not guarantee future results. Trade at your own risk. Size positions you can afford to lose. The market does not owe anyone money.
Finite no-card preview, transparent methodology, and a public signal-outcome track record. Test the workflow on real tickers before deciding whether Pro earns a place in your routine.