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NAM-INDIA Daily Market Report

Date Range: 2017-11-06 to 2026-10-26 | Evidence Type: Daily-only

DAILY-ONLY FALLBACK: This security has current daily OHLCV history but lacks the intraday files required by the legacy execution simulator. The page therefore reports observable daily-market evidence and current research candidates only. It does not claim intraday backtest performance or a trading recommendation.

Current Snapshot

Current Snapshot — NAM-INDIA Report
Metric Value
Latest closed session 2026-10-26
Latest close 919.1000
20-session average turnover 855887192.94
Distance from 252-session high -26.53%

Trailing Price Returns

Trailing Price Returns — NAM-INDIA Report
Sessions Return
1 -0.38%
5 -13.72%
20 -19.72%
60 -21.32%
120 -8.81%
250 2.83%

These are trailing observations ending on the latest closed session, not forward returns from a setup.

Current Market Intelligence Candidates

Current Market Intelligence Candidates — NAM-INDIA Report
Archetype Regime Primary horizon Strength First rejection risk
MEAN_REVERSION_CAPITULATION BEAR_PERSISTENT 20 1.63 Continued trend momentum breakdown
PRICE_DISLOCATION BEAR_PERSISTENT 120 0.27 Continued price deterioration or adverse fundamental evidence

Evidence Limits

Fundamental Research

Fundamental Research — NAM-INDIA Report
Field Value
Statement scope FULL_STATEMENTS
Latest annual period 2026-03-31
Statement completeness 100%
Revenue growth 31.49%
Net margin 52.14%
Return on equity 32.83%
Debt/equity 0.02
Operating cash flow/net income 0.99
Free-cash-flow margin 48.83%
Trailing P/E 46.28
Price/book 16.03

Source: EODHD retrieved 2026-09-23T23:41:22.837498+00:00.

QA flags: None

Missing statements mean data is unavailable. Balance-sheet equation flags require checking accounting definitions and units. Weak cash conversion and high leverage are financial risk observations, not necessarily data errors. A summary-only record cannot establish financial quality.

Provider-standardized figures are a research aid. Review consolidated filings, units, restatements, accounting policies, and QA flags before investment use.