Verified research at scale.
Verified answers about your own money.
GoQuant screens 2,959 Indian stocks overnight across 90 frameworks for SEBI-registered advisors — and lets you link your own broker to see exactly what you hold, scored by the same engine. Every figure traces to its source. Nothing is ever invented.
Or explore the free screener first. Self-service tools are educational analysis, not investment advice — advisor-published research always waits for a registered human to approve it.
2,959
Indian stocks screened
90
screening frameworks
5
brokers you can link
100%
figures sourced
Why GoQuant
Manual research doesn't scale.
Generic AI tools don't comply.
The gap between what regulated advisors need — and what a retail investor actually gets when they ask an AI tool about their own portfolio — is structural, not a feature gap.
Research doesn't scale
A single analyst cannot meaningfully apply dozens of methodologies to 2,959 stocks daily. Stocks get missed, conviction gets guessed, and the most time-consuming work — verification — gets skipped.
Generic AI tools don't comply
AI tools that generate numbers, ratios, or signals without auditable source data violate SEBI's framework for RAs and RIAs — and leave retail investors trusting a black box about their own money.
Unadjusted data misleads
Corporate actions — bonus issues, splits, demergers — silently distort historical EPS and momentum. Most data providers only adjust back 2 years. Wrong adjustments produce wrong signals.
The advisor workflow
How research reaches your clients
Overnight scan
The engine screens all 2,959 Indian equities against 90 frameworks every night. Scores are computed by deterministic, versioned Python — not LLM generation. No number is ever invented.
Independent verification
Every key figure is independently re-derived and cross-checked against the primary computation. Any divergence blocks the signal. Abstention is a designed output — not an error state.
Human approval gate
Verified findings surface in your HITL dashboard. The SEBI AI-use disclosure gate activates before any output reaches a client. You approve. You control. The platform enforces it.
Research methods
90 screening frameworks. One verified engine.
No single methodology is right for every market regime. Four flagship methods below, 86 more covering named frameworks, shareholding, and technical setups — or build your own from scratch.
Catch growth leaders before the crowd
William O'Neil's seven-criteria framework screens for accelerating quarterly EPS, annual earnings trend, new price highs, supply and demand dynamics, relative strength leadership, institutional sponsorship, and market direction — simultaneously.
Emerging growth stocks with accelerating fundamentals
Find quality at a margin of safety
Benjamin Graham's criteria demand multi-year earnings stability, adequate market size, conservative P/E multiples, and a fortress balance sheet. Price must be meaningfully below intrinsic value before any signal fires.
Undervalued, financially sound businesses
Trade what the market is already pricing in
Quantitative relative strength ranks every equity in the universe by 12-month price momentum and 52-week breakout proximity. Volume must confirm the move. The market's vote is data — not sentiment.
High-momentum stocks approaching confirmed breakout points
Identify businesses worth holding for a decade
Saurabh Mukherjea's compounder filter requires long-run revenue growth, ROCE consistently above cost of capital, and low financial leverage. Only a handful of Indian businesses survive the full screen.
Long-duration compounders for patient, concentrated capital
Prefer your own combination? Build a custom screener from any mix of fundamental, technical, and shareholding criteria — no code required.
Your portfolio
Your holdings, scored by the same
verified engine.
Link your broker and GoQuant reads your actual holdings — read-only — and scores every one of them against the identical engine behind the overnight screener. Weak holdings get flagged against stronger alternatives, with reasoning, not a black-box verdict.
This is self-service, educational analysis directly to you — not advisor-mediated advice — and it carries the same mandatory SEBI AI-use disclosure as everything else on the platform. A short risk-profile assessment is required first.
Link your broker
Read-only OAuth to Upstox, Zerodha, Dhan, Fyers, or AngelOne. GoQuant only ever reads your holdings — it never places a trade without your explicit per-order consent.
Every holding gets scored
The same CANSLIM, quant-factor, and quality engine that screens the market overnight scores what you actually hold. No separate consumer-grade model, no shortcuts.
Get switch suggestions, with reasons
Weak holdings are flagged against stronger alternatives already in your portfolio's peer set — grounded in the same structured scores, never an LLM-invented verdict.
Stock research
Go deep on any of 2,959 stocks.
The screener finds candidates. These tools help you actually research them — all grounded in the same sourced data.
Full research pages
CANSLIM scorecard, quant factors, screener matches, AI explainer, and filings for any of 2,959 Indian stocks — one page, fully sourced.
Price charting
Corporate-action-adjusted price history on every stock page. Splits, bonuses, and demergers never distort what you see.
Watchlists
Track your own shortlist across every screen you run. Nothing gets lost between an overnight scan and your next login.
Ask GoQuant
A bounded conversational layer over the same verified data — it explains what the engine already computed, it never computes anything new.
Platform
Built for every registration type
The same verified engine powers self-service tools above and the advisor products below. RA, RIA, and PMS product lines are architecturally segregated — SEBI's regulatory requirements for each registration are wired into the platform, not patched in after.
Publish SEBI-compliant swing and short-term research calls. Overnight scans across your entire coverage universe. Every figure carries source, endpoint, and timestamp — audit-ready for any SEBI examination.
- RA-compliant research output with disclosure
- Swing and short-term call segregation
- Full audit trail for every published figure
- Overnight scan across 2,959 equities
Construct personalised portfolio recommendations backed by verified, sourced analysis. Client consent workflow and the HITL gate are built into the platform — not bolted on.
- Client-level audit trail and consent workflow
- HITL gate before every client-facing output
- RA / RIA product line segregation built in
- Personalised advice under RIA registration
Screen the full universe against your stated mandate overnight. Cross-verified, institutional-grade data with complete provenance. Two independent derivation passes before any signal surfaces.
- Full universe screened against mandate
- Institutional-grade provenance metadata
- Two independent verification passes
- Overnight run — fresh findings each morning
Data architecture
Three guardrails you can audit
These are architectural constraints, not best practices. Every figure that surfaces through GoQuant — advisor-published or self-service — passes all three. They cannot be bypassed.
100% data provenance
Every figure carries provider, endpoint, timestamp, and raw value. Corporate-action-adjusted across 8 years of history. Missing data surfaces as 'no verified figure' — never a guess, never a substitute.
Zero LLM-invented numbers
All calculations live in versioned, deterministic Python — not in prompts. The LLM reads the engine's output and explains it in plain language. It never produces a number, ratio, or threshold.
Independent cross-verification
A second pass independently re-derives every key figure. Any divergence from the primary computation blocks the signal. Abstention is a designed output state — you will never see an unverified figure surfaced.
AI explains — it never computes. All ratios, thresholds, and CANSLIM criteria are defined in versioned Python code, not in prompts. The LLM is handed a structured output and asked to explain it. Any numeral not present verbatim in the engine output triggers a regeneration or halt.
Live output
The screener, right now
These are tonight's verified signals — computed overnight, cross-checked, and ready for advisor review.
| Rank | Symbol | Composite | Verifier |
|---|---|---|---|
| 1 | KRISHANA | 92 | Verified |
| 2 | SGFIN | 92 | Verified |
| 3 | IRISDOREME | 91 | Verified |
| 4 | SGMART | 90 | Verified |
| 5 | TATVA | 89 | Verified |
| 6 | GSMFOILS | 89 | Verified |
| 7 | MBAPL | 87 | Verified |
| 8 | SSWL | 86 | Verified |
Showing top 8 by composite score. Educational analysis only.
View full screenerCompliance
SEBI compliance is the architecture
Not a checkbox. Not a disclosure appended to an output. The regulatory constraints for each registration type — and for self-service tools used directly by investors — are wired into every path through the platform.
Human-in-the-loop gate for advisor output
Every RA/RIA/PMS-published signal requires explicit approval from a SEBI-registered advisor before reaching any client — not bypassable. Self-service tools (the screener, portfolio evaluation) are educational analysis carrying the same AI-use disclosure, delivered directly to you rather than advisor-mediated. Execution always happens in your own broker account with per-order consent — GoQuant never custodies funds or places discretionary trades.
AI-use disclosure on every output
The SEBI Dec 2024 Research Analyst amendment mandates disclosure of AI use on every advisory output. GoQuant appends the mandatory disclosure to every signal, portfolio evaluation, and research report — automatically, without requiring anyone to manage it manually.
RA / RIA / PMS product segregation
SEBI requires strict product line segregation between swing/short-term calls (RA), personalised advice (RIA), and discretionary management (PMS). GoQuant enforces this at the platform level — there is no way to blend product lines by accident.
Full audit trail per figure
Every number in every output carries provider, endpoint, timestamp, and raw value. Corporate-action-adjusted across 8 years of history. Verifier pass status attached. If SEBI asks where a figure came from, the answer is one query away.
Get started
Two ways in. One verified engine.
For your own portfolio
Link a broker, watch your holdings get scored by the same engine that runs the overnight screener, and see switch suggestions with reasons — not a black box.
- Read-only broker linking, 5 brokers supported
- 90 screening frameworks + custom builder
- Watchlists, charts, and full research pages
For your advisory practice
White-label the research platform under your RA, RIA, or PMS registration. We onboard by application, with dedicated compliance documentation for each registration type.
- White-label research output
- Dedicated compliance docs
- Full audit trail export