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 (QV: +6.06% EV lift)
Risk flags not measured as avoid edge
Avoid signals measured as net edge vs benchmark (6.50%)
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.

Our “Buy” signals

  • Right 61% of the time (vs 47% chance)
  • Average gain: +5.3% (vs +2.6% baseline)
  • Wins 2.7× bigger than losses

239 signals tested

Our “Avoid” warnings

  • Right 68% of the time
  • A-grades beat F-grades by +12%
  • Avoiding saved +6.5% vs market

6,971 signals tested

“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 our detailed validation report →