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EDELWEISS Daily Market Report

Date Range: 2016-01-01 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 — EDELWEISS Report
Metric Value
Latest closed session 2026-10-26
Latest close 122.9100
20-session average turnover 591334878.30
Distance from 252-session high -13.89%

Trailing Price Returns

Trailing Price Returns — EDELWEISS Report
Sessions Return
1 2.83%
5 -8.85%
20 -11.58%
60 7.04%
120 6.41%
250 14.77%

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

Current Market Intelligence Candidates

Current Market Intelligence Candidates — EDELWEISS Report
Archetype Regime Primary horizon Strength First rejection risk
None — — — No current Market Intelligence candidate

Evidence Limits

Fundamental Research

Fundamental Research — EDELWEISS Report
Field Value
Statement scope FULL_STATEMENTS
Latest annual period 2026-03-31
Statement completeness 100%
Revenue growth 32.47%
Net margin 5.03%
Return on equity 11.82%
Debt/equity 4.02
Operating cash flow/net income -1.64
Free-cash-flow margin -8.88%
Trailing P/E 16.58
Price/book 2.43

Source: EODHD retrieved 2026-10-20T13:56:48.279839+00:00.

QA flags: balance_sheet_equation: difference=13205100000.00; weak_cash_conversion: operating cash flow/net income below 0.5; high_leverage: debt/equity above 2

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.