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ABFRL 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 — ABFRL Report
Metric Value
Latest closed session 2026-10-26
Latest close 39.5800
20-session average turnover 204049456.70
Distance from 252-session high -53.64%

Trailing Price Returns

Trailing Price Returns — ABFRL Report
Sessions Return
1 -0.48%
5 -11.71%
20 -17.64%
60 -31.83%
120 -39.97%
250 -51.90%

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

Current Market Intelligence Candidates

Current Market Intelligence Candidates — ABFRL Report
Archetype Regime Primary horizon Strength First rejection risk
PRICE_DISLOCATION BEAR_PERSISTENT 120 0.30 Continued price deterioration or adverse fundamental evidence

Evidence Limits

Fundamental Research

Fundamental Research — ABFRL Report
Field Value
Statement scope FULL_STATEMENTS
Latest annual period 2026-03-31
Statement completeness 100%
Revenue growth 10.85%
Net margin -9.49%
Return on equity -13.29%
Debt/equity 1.06
Operating cash flow/net income -0.04
Free-cash-flow margin -5.88%
Trailing P/E N/A
Price/book 1.32

Source: EODHD retrieved 2026-10-09T14:00:48.912604+00:00.

QA flags: balance_sheet_equation: difference=4238400000.00; 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.