EquityScore

BETA

Most advanced quant-first, AI-last analysis

Most advanced stock analysis platform in India with quant-first, AI-last philosophy.

Our proprietary signal system is market-tested and continuously evolving.

“We built a scoring engine that tells you if a stock is cheap for its sector, a risk firewall that catches manipulation before headlines, and signals validated against real outcomes. The system learns from market feedback and recalibrates itself. Ask any question — get answers without hallucinations.

1,349
Stocks

NSE-listed companies analyzed daily

20
Sectors

Each with calibrated thresholds

141
Subsectors

Fine-grained peer comparison

<30ms
Response

API response time

A complete equity research operating system

Analysis Engine

  • Sector-calibrated thresholds
  • 8-quarter trajectory analysis
  • 141 subsector peer groups

Risk Intel

  • Forensic manipulation detection
  • Multi-level risk scoring
  • A-F risk grades with rationale

Market Intel

  • Factor performance dashboard
  • Market regime detection
  • Grade migration tracking

Signal System

  • 8 divergence patterns
  • 60-day outcome tracking
  • Segment-based gating

Cohort Engine

  • Portfolio & watchlist analysis
  • Sector & subsector views
  • Index & fund decomposition

Universal Chat

  • Natural language queries
  • Context-aware responses
  • Pre-computed grounding

EquityScore vs Typical Indian Stock Platforms

“We're not a data terminal. We measure whether quality filters and signals actually add edge — then turn it into a workflow: screen → explain → refine.

Typical Platforms
EquityScore
One-size-fits-all ratios
20 sectors + 141 subsector calibrated thresholds
Forensic risk rarely first-class
Beneish/Sloan forensic scoring enforced in cohort gates
Latest quarter focus only
QoQ trajectory engine with 8-quarter history snapshots
Risk simplified or not enforced
Multi-level risk firewall (Crit/High/Med/Low) + quarantine
Market regime absent or not actionable
Regime mode + stress index → actionable playbook guidance
Signals unvalidated
Every signal measured on real 60-day forward outcomes
No baseline — "lift vs what?" missing
Neutral baseline + lift decomposition, research-caveated until promoted
Risk flags not measured as avoid edge
Avoid signals measured as net edge vs benchmark in reviewed windows
Drilldowns inconsistent across modules
Explorer backbone: canonical fields + audit packs
Chat = doc QA only
Universal Chat: NL → Screen → Explain → Refine workflow
Stock Analysis
Stock Analysis

Multi-dimensional scoring with 5 analyzer modules and data quality verification

Built on validation, not claims

What works stays. What doesn't gets turned off.

Grade evidence

  • Latest reviewed 90-day windows show cleaner grade separation than noisy short-horizon checks.
  • Current grades are treated as the decision anchor; transitions are review events, not standalone trading calls.
  • Evidence windows are refreshed as forward outcomes mature and reviewed before stronger claims are used.

Report-only evidence; historical windows do not guarantee future returns.

Signal discipline

  • Signals explain risk, opportunity, and drift, but do not override the grade unless promoted by evidence governance.
  • Research overlays such as QV, OAS, BCG, and Hidden Gems stay caveated until their own gates pass.
  • Tracker and audit artifacts monitor drift, freshness, and evidence status before claims move into product language.

Signals remain contextual unless the Evidence Registry marks the claim as promotable.

“In stressed markets, we focus on two things: avoid landmines and buy quality only when it's mispriced.

Want to see the full analysis? Read the latest market-first evidence note →