Hedge Fund Workflows

E3D is most useful when you use it as a live research desk. The workflows below are adapted from the hedge fund use-case spec.

1. Pre-Trade Due Diligence

Problem: Is this token real or manufactured?

Signals to watch: Rabbit Loop, Rabbit Mirror

API calls:

await e3d.stories.list({ limit: 20 });
await e3d.tokens.getTokenProfile(address, { chain: 'ETH' });

How to interpret results:

Circular flows and tightly coordinated wallet behavior are warning signs for wash trading or manufactured activity.

Problem: See structural preparation before price reacts.

Signals to watch: Rabbit Staging, Rabbit Funnel

API calls:

await e3d.stories.list({ limit: 20 });

How to interpret results:

Dormant wallets waking up, funding paths, and funnel-like flow can signal pre-positioning.

Problem: Know when your exposure is touching stressed infrastructure.

Signals to watch: Flow, grouped evidence graphs

API calls:

await e3d.tokenIntelligence.getAddressCounterparties({
  address,
  limit: 20,
});

How to interpret results:

Shared infrastructure across multiple anomalies is a stress signal, not just a one-off event.

Problem: Prove the structure, not just the price chart.

Signals to watch: Rabbit Cluster, Rabbit Thesis

API calls:

await e3d.stories.list({ limit: 20 });
await e3d.theses.list({ limit: 20 });

How to interpret results:

High reciprocity, dense clusters, and repeated coordination across wallets indicate possible manipulation.

Problem: Track capital moving between ecosystems and categories.

Signals to watch: Ecosystem Shift, Category stories

API calls:

await e3d.tokens.fetchTokensDB({ dataSource: 1 });

How to interpret results:

Use the flow of capital, not just price, to update chain and sector exposure.

Problem: Monitor voting power concentration and delegation changes.

Signals to watch: Delegate Surge

API calls:

await e3d.stories.list({ limit: 20 });

How to interpret results:

Rapid delegation shifts can foreshadow protocol control changes and market repricing.