Read the weather
Macro regime as the precondition.
live · india · long-short
Discipline, encoded.
Institutional long-short research is a slow craft, held in one analyst's memory. Vishwaguru runs the same professional framework in code — and evaluates it up to 20× faster, so the edge is still alive when you act.
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Thesis
A signal is only worth the speed you act on it.
20×
faster execution
The framework isn't a secret. Disciplined analysts know it. But run by hand, a single name eats hours — and by the time the work is finished, the dislocation has already closed.
Vishwaguru runs the full professional framework in code, evaluating up to 20× faster than a human analyst. The discipline stays. The lag disappears.
Same rigor
Five-step protocol on every name. No fatigue, no shortcuts.
Hours → minutes
Acted on while the price is still wrong.
Protocol
A protocol, not a posture.
Five steps. Same order. Every trade. The discipline is the difference between knowing the framework and running it.
Find the gaps
Cross-sectional dislocations only.
Verify the story
Score, don't guess. Travels with the trade.
Size by rule
Hard constraints; never discretion.
Exit by design
The most conservative stop wins.
Engines
Five engines. One enforced sequence.
Each engine runs a stage of the framework in code — and hands off, in order, to the next.
Architecture
From data to decision. In one system.
Six data streams feed a single reasoning core. Five engines emerge from it. Every link is enforced in code.
Macro Indicators
News & Filings
Earnings Calls
Market Data
Fundamentals
Corporate Actions
Professional Reasoning Core
Regime
Macro context read
Signal
Cross-sectional screen
Verify
Qualitative scoring
Construct
Risk-bounded sizing
Risk
Stop & target synthesis
Distinctions
Built around the doctrine.
Practitioner-taught.
Not theory. Not a screener with branding.
Long-short. Regime-aware.
Two-sided books that scale with the weather.
Risk in code.
No discretionary override path.
Status
In active build. No theatre.
Live
Data foundation.
Shipped
Deterministic engine.
In build
AI research layer.
Not yet
Paying customers.
Pre-revenue. Bootstrapped. Solo-founder. The work speaks; we'd rather it speak in a briefing than on a marketing page.
Horizon
Institutions first. Discipline, eventually, everywhere.
We earn the hard market first. What works for an institutional desk becomes the floor for everyone after it.
Now
Institutional desks
Long-short equity teams in Indian markets. The framework, run as infrastructure.
Next
Emerging managers
Smaller books that need institutional discipline without an institutional bench.
Horizon
Disciplined everywhere
The same encoded discipline, eventually, wherever capital is put at risk.
Founder
One founder. Building in the open. Judged by the work.
No committee, no narrative team. A practitioner-taught framework, encoded by the person who has to live with every decision it makes.
Abhishek Kanojia
Founder · Vishwaguru
- Encoding a discretionary long-short process into a deterministic system.
- Making professional rigor run 20× faster than it can by hand.
- Shipping in public — no roadmap theatre, no vanity metrics.
Questions
Direct answers.
Is this live?
The data foundation and the deterministic engine are live. The AI research layer is in active build.
How is it faster?
The full professional framework runs in code — evaluating every name in parallel, up to 20× faster than a human analyst working by hand.
Who is this for?
Institutional long-short equity desks in Indian markets — and the allocators who back them.
What is the professional framework?
A practitioner-taught, systematic long-short research protocol. Five steps, enforced in the same order, every trade.
Do you have paying customers?
Not yet. Pre-revenue and bootstrapped — we would rather show the work in a briefing than overstate it on a page.
Contact
Request a briefing.
For institutional desks, allocators, and review partners. Use the form, or write directly — we read every message.