HTZ Inc.

Weekly quant signals for HTZ Inc.

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Ticker

HTZ

Coverage

2018–present

Update frequency

Weekly

Signal families

About HTZ Quant Signals

The Whystock.app analytics engine computes five quant signal families for HTZ 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/HTZ. The composite score sits at the top level; the five signal families live under components.

Composite Score

score

Top-level composite score: the Piotroski F-Score expressed as a 0–1 fraction (positives / 9). Returned as the score field on every record.

score

Piotroski F-Score

components.piotroski

Nine fundamental-strength booleans spanning profitability, leverage/liquidity, and operating efficiency. The F-Score is the count of true values (0–9).

positive_nipositive_ocfroa_increasingocf_gt_nileverage_decreasingcurrent_ratio_increasingno_dilutiongross_margin_increasingasset_turnover_increasing

Altman Z-Score

components.altman_z

Bankruptcy-distance Z-Score with a distress zone (safe, grey, or distress) and the underlying sub-factors x1–x5.

scorezonecomponents (x1–x5)

Beneish M-Score

components.beneish_m

Earnings-manipulation M-Score with a boolean flag indicating a likely manipulator when the score exceeds the threshold.

scoreflag

Sloan Accrual

components.sloan_accrual

Accrual ratio and an earnings-quality label measuring how cash-backed reported earnings are. Quality may be null when inputs are unavailable.

ratioquality

Market Regime

components.regime

Real HMM market regime: bull, bear, or sideways, with a confidence score.

currentconfidence

Access via API

bash

# Fetch HTZ quant signals (newest first)
curl https://api.vectorfinancials.com/v1/signals/HTZ \
  -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

json

[{
  "ticker": "HTZ", "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"
}]

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Related Concepts

Piotroski F-Score →Altman Z-Score →Beneish M-Score →Sloan Accrual →Market Regime →Knowledge Timestamp →Bitemporal Data →Point-in-Time Query →

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