AssetFlow Intelligence

AMZN is one of four names switching to state 3

Regime Watch · weekly · issue 2026-09-02 · data as of 2026-08-31
Whose web attention just changed state, and how persistent is the new state?

This week's switch board is two events wearing one label: mega-cap attention in AMZN and GOOG has genuinely re-levelled into state 3 on slow chains, while the short-dwell crossers around them are day-to-day churn that will not carry.

Split reading: 1 of 3 mixed, 1 of 3 continuation, 1 of 3 rotation.

As of 2026-08-31, four watched names switched into state 3. AMZN and GOOG transitioned to state 3, recording staying probabilities of 0.34 and 0.36 on 1 day in state each. ORA recorded a staying probability of 0.13 on 1 day in state.

Two names moved into state 1. BA shifted to state 1 with a staying probability of 0.19 on 3 days in state, while NWBO recorded 0.09 on 3 days in state.

On the long-dwell board, names sitting past their expected dwell carry model fit flags rather than persistence. WMT posts a fit flag ratio of 33.6, BH registers a fit flag ratio of 21.6, and TAL carries a fit flag ratio of 7.7.

AMZN · web attention as a fraction of market value, 1 year; dated marks = regime switches and front-page stories

Name	State (1 = lowest attention)	Days in state	Expected dwell (days)	P(stay 5d)	P(stay 21d)
AMZN	3	1	20.2	0.78	0.34
GOOG	3	1	20.8	0.78	0.36
ORA	3	1	10.8	0.62	0.13
WMG	2	1	9.1	0.56	0.09
MKTX	2	1	10.0	0.59	0.11
BA	1	3	13.0	0.67	0.19

A hidden-Markov regime model on each name's own attention series (states ranked 1 = lowest). Persistence is memoryless chain math — sitting modestly past the expected dwell is normal; a Days ÷ expected dwell above 5 is a fit flag, not persistence. Descriptive regime measurement, not a forecast of attention or price. States (K): 3 (all rows). As of: 2026-08-31 (all rows).

Since 2026-09-01 — 0 new · 0 dropped · carried 10 of 10

Why did AMZN switch? →Page-level regime for AMZN →Longest-dwelling: WMT →

Known open data defects affecting this publication: Digital-asset market caps are present but stale: the upstream cap feed froze silently. (2026-02-17 to 2026-08-04); A name whose attention falls below the publication floor silently leaves the published universe; the exit is indistinguishable from a delist (always); The historical cross-section is today's universe backfilled: a name onboarded later carries rows for earlier dates. 115 of 2,135 names end b (2015-05 to 2026-08). Coverage & data quality

Full issue → · Coverage & data quality

Real Estate records the highest advancing share at 55.6%

Sector Attention Breadth · weekly · issue 2026-09-02 · data as of 2026-08-31
Which sectors are gaining web attention broadly, and which gains rest on a few names?

This week's attention gains are narrow rather than broad, with several sectors' advances carried by a handful of names, and that concentration should ease as the news spikes behind it age.

Split reading: 2 of 3 reversal, 1 of 3 continuation.

As of August 31, 2026, Real Estate recorded the highest advancing share at 55.6%, while Industrials recorded the lowest advancing share at 40.4%. Financial Services recorded an advancing share of 51.1%. On the 90-day net-breadth index, Basic Materials recorded the highest reading at 4.73, while Consumer Defensive recorded the lowest reading at 2.63.

Communication Services recorded the highest five-name share of gains at 66.9%, with contributors including GOOG, WMG, and NWS. Healthcare recorded the lowest five-name share of gains at 12.5%.

                      
                                                                   Attention sigma by sector                                                 
                                                         ⡇             ⢀⣀⠤⠤⠤⠒⠒⠒⠊⠉⠉⠉⠉⠉⠉⠉⠒⠒⠤⠤⠤⣀⣀⣀⣀⡀     ⢸                                      
                                                         ⡇     ⢀⣀⣀⡠⠤⠒⠒⠉⠁                        ⠈⠉⠉⠉⠒⠢⢼⠤⢄⣀⣀⡀                                 
Consumer Defen n=109              ⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠒⠒⠒⡗⠒⠒⠊⠉⠉⠁                                      ⢸    ⠈⠉⠑⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠢⠤⠤⠤⠤⠤⠤⠤       
                                                         ⡇               ⣀⡠⠤⠒⠒⠒⠒⠒⠒⠒⠒⠤⠤⠤⣀⣀             ⢸                                      
                                                         ⡇       ⣀⣀⣀⠤⠤⠒⠊⠉                ⠉⠉⠉⠒⠒⠒⠤⠤⠤⠤⠤⣀⣀⣸                                      
                                  ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⡧⠤⠤⠔⠒⠒⠊⠉                                     ⢸⠉⠑⠒⠒⠢⠤⠤⠤⠤⢄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀       
Consumer Cycli n=259                                     ⡇                                            ⢸                                      
                                                         ⡇       ⣀⣀⣀⣀⣀⠤⠤⠤⠒⠒⠒⠒⠊⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠒⠒⠒⠤⠤⠤⣀⣀⣀⡀   ⢸                                      
                                                      ⣀⣀⣀⡧⠤⠤⠔⠒⠉⠉⠉                                 ⠈⠉⠉⠑⢺⠒⠢⠤⠤⢄⣀⣀⣀⣀⡀                            
Industrials n=291                 ⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉   ⡇                                            ⢸         ⠈⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉       
                                                         ⡇        ⢀⣀⠤⠤⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠤⠤⠤⣀⣀⣀               ⢸                                      
                                                         ⡇  ⢀⣀⠤⠔⠒⠉⠁                    ⠉⠉⠉⠉⠉⠒⠒⠒⠒⠒⠒⠒⠒⠒⠢⢼⠤⢄⣀⣀⡀                                 
Communication  n=109              ⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠔⠒⠒⠒⠒⡏⠉⠉⠁                                         ⢸    ⠈⠉⠉⠉⠉⠑⠒⠒⠒⠒⠒⠒⠒⠢⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤       
                                                         ⡇          ⣀⣀⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⣀⡀                   ⢸                                      
                                                         ⡇  ⢀⣀⠤⠔⠒⠉⠉⠉              ⠈⠉⠉⠑⠒⠒⠒⠒⠒⠒⠤⠤⠤⣀⣀⣀⡀   ⢸                                      
Basic Material n=123              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⡠⠤⠤⠔⠒⡗⠒⠉⠁                                     ⠈⠉⠉⠑⢺⠒⠒⠒⠒⠒⠒⠢⠤⠤⠤⠤⠤⠤⠤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀       
                                                         ⡇            ⢀⡠⠤⠒⠒⠒⠤⠤⠤⠤⠤⣀⣀⣀                  ⢸                                      
                                                         ⡇       ⣀⡠⠤⠒⠊⠁             ⠉⠉⠉⠒⠒⠒⠢⠤⣀⡀        ⢸                                      
                                                      ⣀⣀⣀⡧⠤⠤⠔⠒⠒⠊⠉                            ⠈⠉⠒⠢⠤⠤⠤⣀⣀⣸⣀⡀                                    
Financial Serv n=281              ⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉   ⡇                                            ⢸ ⠈⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉       
                                                         ⡇     ⢀⣀⠤⠔⠒⠉⠉⠉⠉⠉⠉⠉⠉⠒⠒⠒⠢⠤⠤⢄⣀                  ⢸                                      
                                                      ⣀⣀⣀⡧⠤⠒⠒⠒⠉⠁                    ⠉⠉⠉⠒⠒⠒⠒⠒⠤⠤⠤⠤⢄⣀⣀⣀  ⢸                                      
Healthcare n=199                  ⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠒⠒⠒⠒⠒⠉⠉⠉   ⡇                                          ⠉⠉⢹⠉⠉⠉⠉⠉⠉⠑⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤       
                                                         ⡇       ⢀⡠⠤⠒⠒⠉⠉⠉⠉⠉⠉⠒⠢⠤⠤⠤⣀⣀⣀                  ⢸                                      
                                                         ⡇  ⢀⣀⠤⠔⠊⠁                  ⠉⠑⠒⠒⠒⠤⢄⣀          ⢸                                      
Technology n=318                  ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⡠⠤⠤⠤⠒⠒⠒⠒⠒⠒⡏⠉⠉⠁                               ⠉⠑⠒⠒⠒⠒⠒⠒⠒⠒⢺⠤⠤⠤⠤⠤⠤⢄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀       
                                -4.0                   -2.0                    0                     2.0                    4.0              
                                                                                sigma                                                        
                                                                                                                                             

1689 names · sigma vs each name's own trailing year · red/green verticals = ±2σ tails · ordered by mean

sector_sigma · per-sector distributions of each name's trailing-year attention sigma for the eight largest sectors; the ridge counts names with a full trailing year of sigma while the breadth table counts names with a reading in the latest session across all groups, so neither n is a subset of the other

Sector	Names	Advancing	Declining	% advancing	90-day net-breadth index	Top-5 share of gains (%)	Top-5 names
Basic Materials	122	52	70	42.6%	4.73	22.9%	SVM, IPI, VHI, GPRE, AG
Real Estate	72	40	32	55.6%	3.71	31.9%	FOR, CDP, XHR, BDN, HPP
Healthcare	191	91	100	47.6%	3.63	12.5%	VCEL, SNDA, UFPT, ORMP, BEAM
Financial Services	278	142	136	51.1%	3.54	14.9%	MCY, AMG, VIRT, VCTR, WTFC
Utilities	74	32	42	43.2%	3.32	30.3%	ORA, SO, VST, DTE, CWT
Energy	94	44	50	46.8%	3.27	23.1%	ET, HAL, DQ, CLB, DK

Advancers = names whose attention value rose day over day; the Names column is the count with a prior session. The index sums daily (advancers − decliners) ÷ (advancers + decliners) over the window, rebased to zero at the start. Top-5 share of gains = the share of the sector's summed positive day-over-day log change in attention value over the last 7 calendar days (about five sessions) carried by its five largest contributors, equal-weighted per name with share classes of one company counted once; 100% means five or fewer names carried the whole advance, and a blank means no name in the sector advanced. Breadth describes participation, not direction of value. Groups under 20 names, the unclassified residual and the crypto bucket (an asset class, not a sector) are excluded from this table and from the headline; they remain in the sector-sigma ridge only if it draws them. Sector is each name's current label applied to its whole history. As of: 2026-08-31 (all rows).

Since 2026-09-01 — 0 new · 0 dropped · carried 14 of 14

Which names drive Basic Materials? →Ridge for Basic Materials only →Why did GOOG cross? →

Full issue → · Coverage & data quality

Visa Inc. recorded the highest revert share at 50.00% across 8 edits

Editorial Attention · monthly · issue 2026-09-01 · data as of 2026-07-31
Which company entries in the public encyclopedia are being rewritten most heavily against their own history, and what changed?

The heaviest rewriting this month is uncontested structural pruning of the two largest technology entries rather than any fight over what those companies are, while genuine contestation sits in a handful of low-volume entries where a single disputed sentence dominates the month.

In the 2026-07 snapshot as of 2026-07-31, Visa Inc. recorded a 50.00% revert share across 8 edits in the contested table. Eli Lilly and Company recorded a 30.00% revert share across 10 edits.

Net content reductions were recorded for Apple Inc. at -51,104 net bytes, Amazon (company) at -48,672 net bytes, and McDonald's at -5,556 net bytes.

Across editing intensity relative to each entry's own history, Eli Lilly and Company stood at the 78.20% own-history percentile. Apple Inc. reached the 74.20% own-history percentile, while Alphabet Inc. registered the 73.30% own-history percentile.

Name	Entry	Edits	Human editors	× own median	Own-history percentile	Revert share	Net bytes
LLY	Eli Lilly and Company	10	5	2.86	78.20%	30.00%	525
AAPL	Apple Inc.	51	11	1.85	74.20%	2.00%	-51,104
GOOG	Alphabet Inc.	25	10	1.47	73.30%	12.00%	319
MCD	McDonald's	22	13	1.91	72.70%	13.60%	-5,556
MA	Mastercard	12	5	1.50	71.40%	8.30%	-719
META	Meta Platforms	21	12	1.68	69.90%	4.80%	1,328

Each entry is the company's own public-encyclopedia page, named explicitly in the watch list and measured against its own monthly history (raw edit counts are never compared across entries — editing peaked site-wide in 2007). Subsidiary, product and brand pages are not included. A high revert share means contested editing, not vandalism per se. Entries with fewer than five edits in the month are omitted. Month: 2026-07 (all rows).

What changed on Visa_Inc.? →Eli_Lilly_and_Company: edits vs attention →Contested entries →

Full issue → · Coverage & data quality

Powell used labor market or employment at a higher rate than Warsh in 2026

Fed Language Tracker · event · issue 2026-09-01 · data as of 2026-07-29 · Next press conference: 2026-09-16
What is the Federal Reserve saying more of, and who is saying it?

Warsh's press-conference mix — zero mentions of inflation expectations against elevated productivity and balance-sheet language — describes a reaction function anchored on market prices and supply-side capacity rather than on expectation anchoring.

Press-conference language shows marked divergences across tracked terms in 2026. Powell used labor market or employment at a rate of 53.8 per 100k characters, higher than Warsh at 27.9.

Warsh had 0 mentions of inflation expectations across 44 press-conference segments in 2026. Conversely, Powell recorded 0 mentions of balance sheet and 0 mentions of financial conditions across 2026 press conferences.

Chair	Year	Mentions	Rate / 100k chars	Segments
POWELL	2026	9	11.5	69
WARSH	2026	0	0.0	44
POWELL	2025	39	12.6	269
POWELL	2024	23	7.7	255
POWELL	2023	23	7.8	250
POWELL	2022	34	11.0	197

Segments = the speaker's own press-conference turns in the year; a current-year row is partial and rests on few segments. Rates are per 100k characters of the speaker's own words.

Quote Powell vs Warsh on tariffs →When did 'inflation expectations' peak? →Speeches vs pressers on the labor market →

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Research

AMZN is one of four names switching to state 3

Real Estate records the highest advancing share at 55.6%

Visa Inc. recorded the highest revert share at 50.00% across 8 edits

Powell used labor market or employment at a higher rate than Warsh in 2026

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