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Recurring publications, each answering one standing question from a fixed chain of AssetFlow's own tools. The same question, the same chain, a new date — so issues compare and changes can be watched.

Every table and chart below comes from a single run; the narrative describes only what that run produced. Each piece ends where the chat begins: ask deeper, and the analyst picks up from the recipe's last step.

Communication Services posts highest advancing share at 66.7%

Sector Attention Breadth · weekly · issue 2026-09-14 · data as of 2026-09-11
Which sectors are gaining web attention broadly, and which gains rest on a few names?
Communication Services' chart-topping participation rests on a handful of names and will not hold.
Split reading: 2 of 3 continuation, 1 of 3 rotation.

Communication Services posts the highest share of advancing names at 66.7% across 76 advancing names, while Basic Materials posts the lowest share of advancing names at 45.0%. Healthcare holds the highest net-breadth index at 4.13, whereas Technology holds the lowest net-breadth index at 0.68.

Communication Services records the highest gain share metric at 50.7%, supported by DISCA, LBTYK, and HUYA. Financial Services records the lowest gain share metric at 21.4%.

Technology recorded 208 advancing names, and Industrials recorded 156 advancing names in web attention.

                      
                                                                   Attention sigma by sector                                                 
                                                                                                              
                                                                                                                            
Consumer Defen n=109                                                                
                                                                                                                  
                                                                                                                           
                                                                               
Consumer Cycli n=258                                                                                                            
                                                                                                                      
                                                                                                                   
Communication  n=110                                                                          
                                                                                                               
                                                                                                                    
Industrials n=289                                                                       
                                                                                                                    
                                                                                                                             
Financial Serv n=283                                                       
                                                                                                                         
                                                                                                                             
                                                                                                              
Basic Material n=123                                                                      
                                                                                                                          
                                                                                                                   
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
SectorNamesAdvancingDeclining% advancingΔ vs 2026-09-0290-day net-breadth indexTop-5 share of gains (%)Δ vs 2026-09-02Top-5 names
Healthcare2001158557.5%+9.9% (was 47.6%)4.1328.1%+15.6% (was 12.5%)LIVN, RARE, CGC, HQY, UTHR
Financial Services29618111561.1%+10.0% (was 51.1%)3.9821.4%+6.5% (was 14.9%)FITB, GBOOF, ROOT, MARA, KPCPF
Communication Services114763866.7%+18.6% (was 48.1%)3.3450.7%-16.2% (was 66.9%)DISCA, LBTYK, HUYA, FVRR, EVC
Consumer Defensive105535250.5%+0.5% (was 50.0%)2.9439.5%+13.5% (was 26.0%)COCO, CELH, WMMVF, GCHEF, NGVC
Basic Materials129587145.0%+2.4% (was 42.6%)2.6033.4%+10.5% (was 22.9%)MXCHF, LAC, WPM, BAK, SID
Real Estate74363848.6%-7.0% (was 55.6%)2.1039.5%+7.6% (was 31.9%)FSV, SBAC, NMRK, HYSNY, HPP
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: 2026-09-11 (all rows).
Since 2026-09-02 — 15 new · 14 dropped · carried 0 of 15
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); A two- or three-letter US ticker collides with a foreign listing code, so the name's source-page set includes another company's pages and it (whole history). Coverage & data quality

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.

0.050.360.681.00parity (attention = market value)Israel and the→ state 1In association→ state 12025-092025-122026-052026-08AMZN · Attention / Market value (ratio, blue; parity = 1.0) · │ context marks (4)
AMZN · web attention as a fraction of market value, 1 year; dated marks = regime switches and front-page stories
NameState (1 = lowest attention)Days in stateExpected dwell (days)P(stay 5d)P(stay 21d)
AMZN3120.20.780.34
GOOG3120.80.780.36
ORA3110.80.620.13
WMG219.10.560.09
MKTX2110.00.590.11
BA1313.00.670.19
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
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); A two- or three-letter US ticker collides with a foreign listing code, so the name's source-page set includes another company's pages and it (whole history). 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.

NameEntryEditsHuman editors× own medianOwn-history percentileRevert shareNet bytes
LLYEli Lilly and Company1052.8678.20%30.00%525
AAPLApple Inc.51111.8574.20%2.00%-51,104
GOOGAlphabet Inc.25101.4773.30%12.00%319
MCDMcDonald's22131.9172.70%13.60%-5,556
MAMastercard1251.5071.40%8.30%-719
METAMeta Platforms21121.6869.90%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).

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.

ChairYearMentionsRate / 100k charsSegments
POWELL2026911.569
WARSH202600.044
POWELL20253912.6269
POWELL2024237.7255
POWELL2023237.8250
POWELL20223411.0197
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.

Members' publications

Published to members; the public page lists the question only.
Base Rates · monthly
After a screen fires, what happened to the price historically — measured against matched names, not against nothing?
Retail Activity Ledger · daily
Where is retail trading unusually today relative to each name's own history, and what did names like these do next, historically?
Published by AssetFlow.ai LLC. Descriptive research on attention and public-record data; not investment advice and not an offer or solicitation. No return claim attaches to anything on this page. This is not a Bloomberg replacement: no real-time quotes, no Level 2, no order routing. It is the research layer that sits next to your terminal.

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