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ADVAIT Daily Market Report

Date Range: 2026-01-20 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 — ADVAIT Report
Metric Value
Latest closed session 2026-10-26
Latest close 1598.2000
20-session average turnover 68861194.66
Distance from 252-session high -34.72%

Trailing Price Returns

Trailing Price Returns — ADVAIT Report
Sessions Return
1 1.12%
5 -14.28%
20 -16.86%
60 -29.17%
120 -21.55%
250 N/A

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

Current Market Intelligence Candidates

Current Market Intelligence Candidates — ADVAIT Report
Archetype Regime Primary horizon Strength First rejection risk
PRICE_DISLOCATION BEAR_PERSISTENT 120 0.28 Continued price deterioration or adverse fundamental evidence

Evidence Limits

Fundamental Research

Fundamental Research — ADVAIT Report
Field Value
Statement scope FULL_STATEMENTS
Latest annual period 2026-03-31
Statement completeness 100%
Revenue growth 79.47%
Net margin 7.25%
Return on equity 18.60%
Debt/equity N/A
Operating cash flow/net income -0.19
Free-cash-flow margin -17.13%
Trailing P/E 45.95
Price/book 8.58

Source: EODHD retrieved 2026-10-09T23:40:04.028120+00:00.

QA flags: balance_sheet_equation: difference=128251000.00; weak_cash_conversion: operating cash flow/net income below 0.5

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.