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Research the market, not the noise

AI-Based Investing
Research Platform

Structured market screening that turns price action, volume and derivatives data into transparent, auditable research.

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Research technology · No trade execution · No guaranteed outcomes
MARKET RESEARCH OS

Good morning, Rahul

Market session
UNIVERSEFnO EquitySystematic coverage
ENGINE60 secResearch refresh
DATA QUALITYValidatedProvider-normalized
MODULE 01

FnO Momentum

LIVE
SymbolMoveR factorClassification
ALPHA-01+2.84%8.72Long build-up
VECTOR-02+1.96%8.31Volume expansion
NEXUS-03−1.42%7.88Short build-up
FNO DIAGNOSTIC

Momentum Quality

03
SymbolMoveR factorQuality
ORBIT-04+2.14%8.54Strong continuation
PRISM-05+1.72%7.96Stable hold
AXIS-06−1.38%7.42Fading
Illustrative interface previewMethodology-led · Provider-independent
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INDIAN EQUITIESF&O INTELLIGENCEMOMENTUM QUALITYTRANSPARENT MATH
01 / THE PLATFORM

From fragmented market data
to one research workflow.

AIIH is designed for investors and market professionals who want a repeatable way to discover what deserves deeper attention.

Every output is tied to defined conditions and parameters. You can inspect the reason a stock appears instead of relying on an unexplained black-box score.

01

Observe

Normalize live and historical market data into a consistent research layer.

02

Evaluate

Apply documented mathematical conditions across the complete FnO universe.

03

Prioritize

Rank relevant candidates while preserving the evidence behind every classification.

02 / RESEARCH MODULES

One scanner.
Multiple evidence layers.

FnO Momentum combines participation, positioning, price structure and follow-through diagnostics in one disciplined process.

MODULE 01A

FnO Momentum

Combines time-adjusted volume, futures OI, breakout structure, gaps, ATM PCR, order pressure, EMA, RSI and opening-range movement.

  • 60-second research refresh
  • Interpretable 1–10 R factor
  • Bullish and bearish classifications
Review methodology
MODULE 01B

Momentum Quality

Classifies whether a directional setup is building, continuing, holding, stalling, fading or losing its trigger without altering the core R factor.

  • Five-cycle continuation context
  • Trigger-hold diagnostics
  • Transparent quality states
Review methodology
03 / TRANSPARENT BY DESIGN

The mathematics
stay visible.

A version-controlled strategy specification records every formula, threshold, scoring weight and output definition used by the engines.

R FACTOR / NORMALIZATIONv1.1
R = 1 + (raw points ÷ 135) × 9
1.010.0

R Factor measures signal strength. A separate signed Bias Score classifies direction as Bullish, Bearish or Mixed.

04 / MEMBER ACCESS

One membership.
Focused research.

Access the complete AIIH scanner dashboard once licensed market-data integration and member onboarding are active.

FOUNDING MEMBERANNUAL ACCESS

₹4,999 / year

  • FnO Momentum dashboard
  • Opening RVOL and Options OI diagnostics
  • Complete methodology visibility
  • Minervini scanner access
View membership

Secure payment and server-side activation through Razorpay.

AIIH / AI INSIDE HUMAN

Better questions.
Clearer research.

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