First Real Estate Investment Trust Of New Jersey, Inc.
Weekly quant signals for First Real Estate Investment Trust Of New Jersey, Inc.
Ticker
FREVS
Coverage
2018–present
Update frequency
Weekly
Signal families
5
About FREVS Quant Signals
The Whystock.app analytics engine computes five quant signal families for First Real Estate Investment Trust Of New Jersey, Inc. every night from public financial statements: the Piotroski F-Score, Altman Z-Score, Beneish M-Score, Sloan accrual ratio, and a real HMM market regime, plus a composite score. They are served together under components on one REST endpoint. All signals are bitemporal — each row carries effective_ts (data date) and knowledge_ts (when VectorFin computed it), enabling accurate point-in-time backtesting without look-ahead bias.
Signal families
All families ship in a single response from GET /v1/signals/FREVS. The composite score sits at the top level; the five signal families live under components.
Composite Score
scoreTop-level composite score: the Piotroski F-Score expressed as a 0–1 fraction (positives / 9). Returned as the score field on every record.
Piotroski F-Score
components.piotroskiNine fundamental-strength booleans spanning profitability, leverage/liquidity, and operating efficiency. The F-Score is the count of true values (0–9).
Altman Z-Score
components.altman_zBankruptcy-distance Z-Score with a distress zone (safe, grey, or distress) and the underlying sub-factors x1–x5.
Beneish M-Score
components.beneish_mEarnings-manipulation M-Score with a boolean flag indicating a likely manipulator when the score exceeds the threshold.
Sloan Accrual
components.sloan_accrualAccrual ratio and an earnings-quality label measuring how cash-backed reported earnings are. Quality may be null when inputs are unavailable.
Market Regime
components.regimeReal HMM market regime: bull, bear, or sideways, with a confidence score.
Access via API
# Fetch FREVS quant signals (newest first)
curl https://api.vectorfinancials.com/v1/signals/FREVS \
-H "X-API-Key: vf_sk_your_key_here" \
-G \
-d "date_from=2026-01-01" \
-d "date_to=2026-06-16" \
-d "limit=30"Example response (one record):
2026-06-172026-06-16[{
"ticker": "FREVS", "date": "2026-06-16", "score": 0.778,
"components": {
"piotroski": {
"positive_ni": true, "positive_ocf": true, "roa_increasing": true,
"ocf_gt_ni": true, "leverage_decreasing": false,
"current_ratio_increasing": true, "no_dilution": true,
"gross_margin_increasing": true, "asset_turnover_increasing": false
},
"altman_z": {
"score": 6.12, "zone": "safe",
"components": {"x1": 0.28, "x2": 0.19, "x3": 0.22, "x4": 4.85, "x5": 0.88}
},
"beneish_m": {"score": -2.61, "flag": false},
"sloan_accrual": {"ratio": -0.021, "quality": "high"},
"regime": {"current": "bull", "confidence": 0.82}
},
"effective_ts": "2026-06-16T00:00:00Z",
"knowledge_ts": "2026-06-17T06:30:00Z"
}]Access FREVS signals in your pipeline
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