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Why $HISS

Three things became true at once. Real-world assets went onchain — tokenized stocks and ETFs with canonical addresses and Chainlink-style oracles. AI got good at structured research — an agent can turn a narrative into named assets, weights, and a written thesis in seconds. And crypto Twitter turned portfolios into content — people already share screenshots of their theses; they just can’t fork them.

$HISS combines the three: an AI basket builder whose output is a public, portable, validated manifest. The basket is a CT-native primitive — something you can publish, argue about, fork, and enter into competition, with the weights and risk notes attached instead of implied.

The three modes

mode 01 · default

Paper

Baskets simulate against deterministic mock prices. Nothing is bought or sold. All performance is labeled SIMULATED. This is the product today.

mode 02 · gated

Onchain registry

Manifests can reference canonical Robinhood Chain Stock Token addresses for onchain record-keeping. Live execution stays disabled behind jurisdiction, audit, and oracle gates — and only verified registry addresses are ever eligible.

mode 03 · plans only

Brokerage MCP planning

$HISS exports no-autotrade system prompts and rebalance plans for the Robinhood Trading MCP. Your own agent executes, only with your explicit per-order approval. $HISS never touches accounts or credentials.

Baskets as a public primitive

A $HISS basket is a JSON manifest: schema-versioned, slug-addressed, validated. Weights are basis points that must sum to exactly 10,000. Risk notes are mandatory fields, not marketing copy. Because the manifest is the artifact, everything downstream is honest by construction: share cards render from it, Basket Wars ranks it, forks inherit its lineage, and MCP plans quote it verbatim.

Coil your first basket →

$HISS is an independent research project. Not affiliated with, endorsed by, or connected to Robinhood, Disney, Bankr, or Chainlink. Not investment advice.