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AMF-WhiteSwan

AMF-WHITESWAN AI adaptation long book — Swan Composite v1.1.0: the 10 highest composite scores (50% AI Adaptation Score + 25% AI Story Score + 25% market verdict, conviction-weighted 5–20%) among software companies (SIC 7370–7379) (scoring run 2026-11-05, story run 2026-11-05), refreshed with each run HITL-dynamic

AI-managed Index Basket · Theme: AMF-WhiteSwan · 11 components selected by fine-tuned AI models from a network of hundreds and dynamically swapped based on proprietary algorithms.

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$199.17
+7.80%
11
2026-09-17

Performance

$ index price history since inception. Real-time index and orderbook are on the pro terminal.

Profile

AMF-WhiteSwan (AMF-WHITESWAN)
AI-Managed Fund (AMF) · long book
AI adaptation — holds the highest composite scores (AI Adaptation Score + AI Story Score + market verdict), conviction-weighted
Swan Composite v1.1.0 · composed 2026-11-05
target-weighted
AI model proposes · Human-In-The-Loop approves
2026-09-17
AMF-WHITESWAN/USDC on the CLOB

Score-driven portfolio: the AI system reads every scored company’s own filings and scores how far it has adapted to AI (the AI Adaptation Score: adoption level, credibility of the claims, trajectory and investment, judged against the company’s own sector). This book holds the ten highest-scoring names that pass the liquidity screen (price and traded-dollar floors, volatility cap), equal-weighted, and is recomposed with each scoring run. The AI event monitor keeps classifying black and white swan events alongside it. Every rebalance keeps the index level continuous; live trading stays behind Human-In-The-Loop approval.

Constituent research

One sourced AI Adaptation Research Report per constituent: why the company’s own SEC filings place it in the WhiteSwan long book (adapting successfully to AI) — the filing quoted verbatim, the adoption level, the score against its sector, the trajectory, recent developments and what would change the verdict. Every factual sentence names its source. Scoring run 2026-11-05. Composition algorithm: Swan Composite v1.1.0 — the AI Adaptation Score blended with the AI Story Score (narrative sentiment and belief network) and the market verdict (the Failure-To-Adapt capture signal against the universe), conviction-weighted.

RankCompanyLevel AASStory Market CompositeWeightReport
1 PERI Perion Network Ltd. 4 79.8 50.3 100.0 77.5 13.5% Read the report
2 INTU INTUIT INC. 4 72.9 61.4 86.0 73.3 12.8% Read the report
3 META Meta Platforms, Inc. 4 76.5 51.2 87.2 72.9 11.1% Read the report
4 TEAM Atlassian Corp 3 59.2 57.2 100.0 68.9 12.0% Read the report
5 CRM Salesforce, Inc. 3 57.4 58.6 100.0 68.4 11.3% Read the report
6 DOCU DOCUSIGN, INC. 3 57.4 54.1 100.0 67.2 10.1% Read the report
7 SNOW Snowflake Inc. 3 63.6 69.2 69.5 66.5 8.5% Read the report
8 CEVA CEVA INC 4 71.8 50.1 70.5 66.0 6.6% Read the report
9 FDS FACTSET RESEARCH SYSTEMS INC 3 57.7 50.0 97.7 65.8 7.4% Read the report
10 CTSH COGNIZANT TECHNOLOGY SOLUTIONS CORP 3 54.9 57.1 89.3 64.0 6.7% Read the report

How to read the columns: AAS is the AI Adaptation Score (0–100) from the company's own SEC filings; Story is the AI Story Score (0–100, 50 = no AI story; below 50 = casualty narrative, above = beneficiary); Market is the market verdict — the Failure-To-Adapt capture signal: how the asset moved on days the universe median fell versus days it rose over 90 days (50 = moves with it, below = falls more and rises less); Composite blends them (50% AI Adaptation Score + 25% AI Story Score + 25% market verdict) and sets the Rank — the highest composites make the book; Weight is the conviction weight (rank tilt × agreement of the inputs with the book's direction, clamped 5–20%). A mandate leg is held by operator instruction outside the ranking and is not scored. Each report explains the constituent's own evidence.

Holdings

ComponentConnectionWeightRelevance
Holdings are disclosed by design — this is the tradable index. direct = the component’s core business is the theme; hidden = a real but non-obvious supply-chain or second-order connection surfaced by the vector model. Relevance is the AI model’s raw affinity score for the theme: higher means a stronger link, and it is not capped at 1 or a percentage — compare it within a fund, not across funds.

Headlines

Telecompaper Salesforce wins 15-year, GBP 2 billion contract with HMRC 2026-11-04
PR Newswire Cognizant to Present at the BMO Technology and Innovation Leaders Conference 2026-11-04
https://marketingreport.one/ Salesforce to acquire voice AI company Cresta 2026-11-04
Mi-3.com.au. Salesforce to acquire AI customer experience platform Cresta 2026-11-03
The Futurum Group Salesforce Moves to Acquire Cresta 2026-11-03
PR Newswire Docusign Acquires Suplari to Accelerate AI-Powered Contract Management for Procurement 2026-11-03
M&A Salesforce to acquire Cresta for $2.7B 2026-11-03
www.verdict.co.uk Salesforce to acquire voice AI company Cresta 2026-11-03
Silicon Republic Salesforce to acquire Cresta in deal reportedly valued at $2.7bn 2026-11-03
Dataconomy Salesforce Agrees To Acquire Voice AI Firm Cresta 2026-11-03
Live newswire items from the headline pipeline connected to this fund — by its components and by its theme & ontology concepts (tagged above) — updating continuously, and an input that prioritizes the next portfolio re-measure. Headlines never trade by themselves.

AMF-WhiteSwan — live swarm

Every holding, the index and the pipeline running this fund, with every control, label and stat. Drag to rotate · scroll or pinch to zoom · hover a node for its metrics.