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The Sentiment Score

Every LexRegPulse briefing carries a single number that answers one question: how favorable is the current regulatory environment for U.S. banking? Here is exactly how it is built.

+38 example

Scale: −100 to +100

Above zero = net-favorable regulatory environment; below zero = net-unfavorable. A negative score is never labeled “neutral” — only a tight −5 to +5 band around zero is neutral. The index is deliberately damped, so most readings fall between −12 and +27 (the trailing environment has been mildly favorable on average, ~+8). Recalculated every morning before the daily briefing is sent.

Unfavorable (≤ −20)
Mildly Unfavorable (−20 to −5)
Neutral (−5 to +5)
Mildly Favorable (+5 to +20)
Favorable (≥ +20)

Three Components

Administration Baseline
Dynamic measure of the prevailing macro regulatory posture
35%

Derived from a 90-day aggregate of regulatory direction scores — every rule, guidance, and enforcement action tagged as loosening or tightening over the trailing quarter. Two real-time modifiers are layered on top: an enforcement surge/calm signal (how the 30-day enforcement rate compares to the prior 60-day baseline) and an application approval trajectory (whether bank charter and M&A approvals are running above or below historical pace). This component captures sustained posture shifts — like a wave of deregulatory softening across Basel III, model risk, and AML — that individual document scores alone would understate.

Regulatory Tone
AI analysis of the past 7 days of agency output
35%

Analyzes up to 40 regulatory documents — proposed rules, final rules, guidance, enforcement actions, speeches, and interagency advisories — published in the trailing 7 days. Document type weighting ensures that a final rule counts 3× as much as a routine notice, and strategic developments (asset threshold changes, capital relief packages, major deregulatory proposals) trigger an additional 5× multiplier. Fed speaker content is analyzed separately on a hawkish/dovish axis and folded in. Blended 85/15 with a 7-day rolling average to prevent single-day distortions.

Market Sentiment
Six sub-signals: social, news, bank-ETF relative momentum, market direction, VIX, earnings
30%

A composite of six sub-signals (renormalized automatically when one is unavailable): social media (22% — 100+ tracked accounts: regulators, banking attorneys, CCOs, analysts), news coverage (22% — trade press, law-firm alerts, wire services), bank-ETF relative momentum (16% — KBE/KRE/XLF 5-day performance vs SPY: are banks outperforming the broad market), market direction (14% — SPY 5-day absolute return: is the broad market up or down), VIX (14% — the volatility/fear gauge; elevated VIX reads negative), and earnings call sentiment (12% — bank earnings tone, age-decayed, dropped out off-season). The market-direction and VIX signals were added so the index reacts to broad market moves and stress, not only to banks-versus-market.

Why It Doesn't Swing Wildly

The regulatory-tone reading uses an 85/15 blend: 85% from the fresh daily reading, 15% from a 7-day rolling average. This keeps the index responsive to genuine shifts while still damping the noise of any single day — a stray enforcement action or a one-off market wobble — so the headline reflects the broader environment rather than a blip.

Blended Reading = (Today's Reading × 0.85) + (7-Day Average × 0.15)

On quiet days with no new data, the score falls back to the rolling average rather than dropping to zero — preventing the score from misleadingly implying "nothing is happening."

The regulatory-delta blend

Every regulatory document the platform analyzes also receives a regulatory delta: whether it loosens or tightens the rules, with a magnitude and a confidence. The blended tone reading above is then averaged 50/50 with the seven-day aggregate of those deltas, weighted by each document's priority and confidence, whenever at least three documents in the window carry one. Half of the published regulatory-tone pillar is therefore a document-by-document loosen/tighten tally, not a reading of language. The same delta aggregate over 90 days is what produces the Administration Baseline pillar, so the document-delta signal enters the index through two doors.

Regulatory Tone = (Blended Reading × 0.5) + (7-Day Delta Aggregate × 0.5)

Sampling, confidence, and the fast reading

The daily calculation reads the newest 40 documents, 20 social posts and 20 news items in the window, in a fixed order (newest first, ties broken by record id), so two runs on the same data produce the same score. Those figures are caps, not a measure of breadth; the count of items available in the window is stored alongside the count used. The confidence figure is the share of each cap that was filled, averaged across the three pillars, on a 20 to 95 scale; it moves when a pillar is thin.

The intraday fast reading shown on some surfaces is a different construction: one model pass over the ten most recent posts and ten most recent headlines, with no ETF, market-direction, volatility or earnings signals and no smoothing. It is a quick read on the day's chatter, not the index with a shorter window.

Calculation version 2026.09.07. Each stored score carries the version it was computed under; the formula on this page is updated whenever the version changes.

What It Tells You — and What It Doesn't

Useful for
  • Tracking directional shifts in regulatory posture week over week
  • Orienting to the tone of a given week before reading the detail
  • Comparing intensity across different regulatory periods
  • Board-level framing: "the environment is net-favorable / restrictive right now"
Not a substitute for
  • Reading the underlying regulatory actions
  • A compliance risk score for any specific institution
  • A prediction of market returns or stock prices
  • Investment advice

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The sentiment score appears in every daily and weekly LexRegPulse briefing alongside the full regulatory intelligence digest — agency actions, enforcement, earnings, and what's coming next week. Delivered before 7 AM.

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