Equity intelligence · Samtrova Labs

Less market noise. More reasoned decisions.

FinMoqa brings screening, market signals, chart context and investment goals into one focused research view. Its AI layer is designed to explain what the evidence means and what changed, while deterministic calculations keep the underlying readings traceable.

Explore FinMoqa Start a conversation

FinMoqa interface prototype showing an annotated market chart and plain-language interpretation — Interface prototype · illustrative figures, not live market data

FindScreen a broad market into a relevant shortlist.

UnderstandRead signals alongside quality, valuation and risk.

TrackNotice when a watchlist thesis or goal changes.

DecideMake the final call with evidence in view.

Built around the investor's day

More than another stream of prices and scores.

FinMoqa is being shaped around the work between seeing a signal and making a decision: narrowing the field, checking the setup, understanding the downside and relating it to your own priorities.

A focused market briefing

Start with what changed.

A short, prioritized read brings portfolio risks, watched conditions and new candidates forward. It is designed to tell you why something deserves attention instead of sending you through another market feed.

See developments relevant to your watchlists and holdings.
Understand whether the underlying case changed.
Spend minutes on the decision, not hours rediscovering the evidence.

FinMoqa prototype with prioritized market briefing cards — What Matters Now prototype · sample data

Screening and discovery

Ask a sharper question of the market.

Use explicit criteria to discover candidates and compare them on the same basis. FinMoqa's planned natural-language input will turn a request into editable screen rules before the deterministic search runs.

Build screens using fundamentals and technical signals.
See the criteria that produced the shortlist.
Carry promising results into a watchlist.

FinMoqa screener prototype showing editable criteria and stock results — Screener prototype · sample data

Goals and portfolio context

Keep research connected to the reason you invest.

Goal views are designed to bring timelines, progress, allocation and risk together. A promising stock can still be the wrong fit for a near-term need; FinMoqa should make that tension visible without taking the decision away.

Track progress and concentration for each goal.
Compare a candidate with the goal's horizon and risk.
Review suggestions as options, not instructions.

FinMoqa goals prototype with progress and suitability context — Goals prototype · design intent and sample data

AI with evidence beneath it

Let AI do the explaining. Keep the facts anchored.

FinMoqa's AI advisor is designed to work from the platform's calculated evidence: why a signal changed, how candidates compare, what the risks are and which assumptions remain open. It can help frame a screen or a goal in plain language. It cannot invent market facts, rewrite a calculated score or make the final investment decision.

1Computed market evidenceScreen rules, signals, valuation, confidence and risk from a reproducible engine.
2Grounded AI interpretationA concise reading of what matters, with sources and uncertainty visible.
3Your judgmentCompare options, challenge the reading and decide what to do next.

Planned intelligence layer · no autonomous trading or fabricated live analysis

A clearer market view for decisions that remain yours.

Explore a collaboration around equity intelligence and the FinMoqa product direction.

Start a conversation

FinMoqa is in development. Interface excerpts use India-market examples and illustrative fixtures from the frontend prototype; they do not show live market coverage, released AI features or investment recommendations. The research approach is intended to adapt to other markets with appropriate local data, methods and rules.