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ARROWGREEN 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 — ARROWGREEN Report
Metric Value
Latest closed session 2026-10-26
Latest close 689.5500
20-session average turnover 30261564.88
Distance from 252-session high -24.48%

Trailing Price Returns

Trailing Price Returns — ARROWGREEN Report
Sessions Return
1 2.35%
5 -14.42%
20 -23.04%
60 -2.93%
120 31.40%
250 25.85%

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

Current Market Intelligence Candidates

Current Market Intelligence Candidates — ARROWGREEN Report
Archetype Regime Primary horizon Strength First rejection risk
EVENT_GAP_REACTION BEAR_PERSISTENT 5 1.74 Gap fill and reversal below prior close
PRICE_DISLOCATION BEAR_PERSISTENT 120 0.24 Continued price deterioration or adverse fundamental evidence

Evidence Limits

Fundamental Research

Fundamental Research — ARROWGREEN Report
Field Value
Statement scope FULL_STATEMENTS
Latest annual period 2026-03-31
Statement completeness 100%
Revenue growth -17.60%
Net margin 23.61%
Return on equity 20.20%
Debt/equity 0.01
Operating cash flow/net income 0.97
Free-cash-flow margin 20.87%
Trailing P/E 24.59
Price/book 5.03

Source: EODHD retrieved 2026-10-13T13:59:34.417130+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.