AMF-WhiteSwan Crypto
AMF-WHITESWAN-CRYPTO Crypto AI adaptation long book — Swan Composite v1.1.0: the 6 highest composite scores (67% AI Adaptation Score + 33% market verdict versus BTC, conviction-weighted 5–20%) among cryptocurrencies whose public materials claim AI — greenfield and AI-native protocols (scoring run 2026-11-06), plus ET10 held by operator mandate since 2026-10-31 (unscored, conviction base weight), refreshed with each run HITL-dynamicAI-managed Index Basket · Theme: White Swan Events: Crypto AI-native Long Book · 7 components selected by fine-tuned AI models from a network of hundreds and dynamically swapped based on proprietary algorithms.
Wire · Binance breach puts custody at center of crypto infrastructure trade Crypto
Invest in AMF-WhiteSwan Crypto now — it's LIVE →
Redeem your shares at NAV →
Apply to the AI Model Hedge Fund →
Performance
Profile
Score-driven crypto portfolio: the AI
system reads every scored project’s public record — its CoinGecko
profile, homepage, agent cards and llms.txt, whitepaper, docs and
public repositories — and places it on one scale: no mention of AI,
AI in name only, bolt-on AI, AI-native, or greenfield
(built with AI from the ground up, the highest reward). The Crypto AI Adaptation
Score combines that level with how much of the claim is verifiable in code and
shipped product, the credibility of the claims and recent developer activity.
This book holds the highest-scoring AI-native and greenfield
coins that pass the liquidity screen (price, market-cap and traded-dollar
floors, acquirable on a supported venue), equal-weighted, and is recomposed with each
scoring run. Every rebalance keeps the index level continuous; live trading stays
behind Human-In-The-Loop approval.
Constituent research
One sourced Crypto AI Adaptation Research Report per constituent: why the project’s own public record places it in the CWhiteSwan long book (AI-native or built with AI from the ground up) — the sources quoted verbatim, the adoption level (no mention, name only, bolt-on, native, greenfield), what is verifiable in code and product, developer activity and what would change the verdict. Every factual sentence names its source. Scoring run 2026-11-06.
| Rank | Project | Level | AAS | Market | Composite | Weight | Report |
|---|---|---|---|---|---|---|---|
| 1 | TAO Bittensor | 4 | 84.2 | 47.9 | 72.1 | 17.6% | Read the report |
| 2 | VVV Venice Token | 3 | 69.6 | 74.0 | 71.0 | 19.9% | Read the report |
| 3 | NEAR NEAR Protocol | 3 | 66.1 | 76.6 | 69.6 | 18.5% | Read the report |
| 4 | FET Artificial Superintelligence Alliance | 4 | 80.3 | 38.6 | 66.4 | 13.2% | Read the report |
| 5 | ICP Internet Computer | 3 | 56.2 | 51.3 | 54.5 | 11.8% | Read the report |
| 6 | EIGEN EigenCloud (prev. EigenLayer) | 3 | 56.6 | 31.2 | 48.1 | 10.2% | Read the report |
| pinned | ET10 EventTrader ET10 — AI agent revenue share token mandate | — | — | — | — | 8.8% | Read the report |
How to read the columns: AAS is the AI Adaptation Score (0–100) from the project's own public materials; Market is the market verdict — the Failure-To-Adapt capture signal: how the asset moved on days BTC fell versus days it rose over 90 days (50 = moves with it, below = falls more and rises less); Composite blends them (67% AI Adaptation Score + 33% 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
| Component | Connection | Weight | Relevance | |
|---|---|---|---|---|
| VVV ▸ | direct | 19.94% | 0.000 | |
|
Venice Token Direct holding — its core business is the fund’s theme · weight 19.94% · AI model relevance 0.000. |
||||
| NEAR ▸ | direct | 18.50% | 0.000 | |
|
NEAR Protocol Direct holding — its core business is the fund’s theme · weight 18.50% · AI model relevance 0.000. |
||||
| TAO ▸ | direct | 17.55% | 0.000 | |
|
Bittensor Direct holding — its core business is the fund’s theme · weight 17.55% · AI model relevance 0.000. |
||||
| FET ▸ | direct | 13.16% | 0.000 | |
|
Artificial Superintelligence Alliance Direct holding — its core business is the fund’s theme · weight 13.16% · AI model relevance 0.000. |
||||
| ICP ▸ | direct | 11.85% | 0.000 | |
|
Internet Computer Direct holding — its core business is the fund’s theme · weight 11.85% · AI model relevance 0.000. |
||||
| EIGEN ▸ | direct | 10.23% | 0.000 | |
|
EigenCloud (prev. EigenLayer) Direct holding — its core business is the fund’s theme · weight 10.23% · AI model relevance 0.000. |
||||
| ET10 ▸ | direct | 8.77% | 0.000 | |
|
EventTrader ET10 — AI agent revenue share token Direct holding — its core business is the fund’s theme · weight 8.77% · AI model relevance 0.000. |
||||
Headlines
Signaling Network
How all crypto assets in this universe connect — each dot is a crypto asset, links are association strength (co-appearance on ontology concepts, decaying with ontology distance). This fund’s components sit inside this network. Click a dot to inspect it.
Derived, relative association measure (ontology distance × AI model scores). Not correlations, not price relationships, not trading signals.
Supply-Chain Return Map
The Signaling Network’s concept nodes, ranked by momentum. Each tile is an ontology category — sized by breadth of exposure (its direct constituents) and colored by their median trailing‑30‑day return. Hover a tile for its movers.
Median is outlier-robust: a single split-glitch cannot color a tile green. Illustrative of ontology-cluster momentum, not investment advice.
AMF-WhiteSwan Crypto — 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.