BROKNERS Β· Research

BROKNERS

Autonomous traders. Verifiable track records. Ownable.

Concept whitepaper β€” v0.2 draft Β· August 2026

This document is research, not an offering. Brokners is a testnet-only prototype. Nothing here is an offer to sell or a solicitation to buy any security, token, or investment product. Section 9, Legal and Regulatory Considerations, is not an afterthought β€” read it.

1Abstract

Brokners tokenizes the trader, not the trade. Each token in the collection is a pure-AI trading agent: a secret prompt (its "genome") committed on-chain by hash, a wallet of its own, an optional vault of outside capital, and an immutable, publicly verifiable track record built one on-chain trade at a time. Because the trader is an ERC-721 token, it can be bought and sold on any NFT marketplace β€” with its capital (the assets in its wallet transfer atomically with the token) or without (the seller sweeps the wallet first; the history stays). The roster of traders, taken together, is a hedge fund that exists only on the blockchain and can change hands as easily as any other digital asset.

2Motivation

Track records are the currency of asset management, and today they are unverifiable. A fund manager's tear sheet is a PDF; a Twitter trader's PnL is a screenshot. Even when returns are real, they are not portable β€” a manager cannot sell their track record, and a buyer cannot own it.

Putting the trader itself on-chain changes both facts:

A pure-AI trader also removes key-person risk in the traditional sense β€” the "manager" cannot quit, die, or start a rival fund β€” but replaces it with new questions of prompt custody and model risk, which this paper treats honestly in Β§10.

3The Trader Genome

A trader is minted from a genome: the prompt that defines its strategy, personality, and edge, plus configuration tweaks supplied by the minter:

ComponentVisibilityExample
PromptSecret (hash commitment only)"You are a mean-reversion trader specializing in…"
Risk profilePublic traitconservative / balanced / aggressive
Asset universePublic traitallowlisted token set
CadencePublic traitmax one trade per 4 hours
ModelPublic traitpinned model identifier

At mint, the protocol stores keccak256(canonicalJSON(genome)) on-chain along with the public traits and the birth block. The plaintext prompt is encrypted and stored off-chain; only its hash lives on-chain.

Immutability is the point. There is no genome-update function. If the hash can never change, the track record has provenance: the strategy that earned it is the strategy being sold.

Genome custody β€” sealed by default

How the plaintext is held is itself an on-chain trait, because it determines what a buyer is actually buying:

CustodyWho has ever seen the promptWhat a sale transfers
0 Β· Authoredthe minter (keeps a decryption key)key handoff; every past owner retains the plaintext forever
1 Β· Sealed-authoredthe minter only, at writing timenothing to hand off β€” the prompt is sealed to the enclave key at mint and no future owner can ever read it
2 Β· Sealed-generatedNo one β€” the prompt is composed inside the enclave from the minter's brief and sealed immediatelypure exclusivity: only the hash identifies the strategy

Sealed custody solves the resale-erosion problem of secret prompts: in authored mode, every sale leaks the strategy to one more permanent holder, so the "secret sauce" depreciates with each transfer. A sealed genome cannot leak through sale at all β€” the enclave (in production, a hardware TEE with remote attestation; in the prototype, the runtime process holding the enclave key) is the only thing that ever decrypts it, and it uses the prompt without exposing it. Sealed-generated goes furthest: a trader whose strategy no human has ever read, identified only by its commitment and judged only by its record.

4The Trader as Property

Each token controls, through the ERC-6551 token-bound-account standard, its own wallet β€” an address derived from the token itself. Whoever owns the NFT controls the wallet; when the NFT transfers, control of the wallet and everything in it transfers in the same transaction.

This is what makes "sell the trader" concrete:

Either way, the history is inseparable from the token: the trade events were emitted by the token's own addresses and can never be detached, faked, or left behind.

The collection is hard-capped at 4,096 traders β€” one brain per bit. Scarcity is a protocol constant, not a promise.

5Open Vaults

A trader's own wallet is its proprietary book. Beyond that, each trader fronts an ERC-4626 vault that outside depositors (LPs) can fund:

Vault administration β€” rotating the executor key, tightening policy β€” always follows ownerOf(tokenId) live. Buying the trader is buying the manager's seat.

6Execution and Guardrails

The AI runs off-chain: a runtime decrypts the genome, feeds market state to the model, and receives a structured trade intent. The runtime holds an executor key β€” a disposable hot key whose entire permission set is one function:

executeTrade(tokenId, venue, tokenIn, tokenOut, amountIn, minAmountOut)

The on-chain guard enforces, on every call:

The trust boundary is the contract, not the runtime. A fully compromised runtime can at worst make bad trades within policy β€” it cannot steal.

Proof of Brain: verifying the AI is the trader

A question any serious reader should ask: what stops a human from puppeteering a "brain" β€” trading by hand through the executor key and selling the record as AI provenance? The genome hash proves which strategy was committed; it does not prove the strategy was driving. The credible answer is attested execution:

  1. Attested enclaves. The full runtime β€” sealed genome, model call, and the executor key β€” runs inside a TEE (e.g. AWS Nitro). The enclave's remote attestation binds three facts together: the exact open-source runtime image (a reproducible-build hash), the executor public key (generated inside the enclave, never exported), and the genome commitment it serves. If the only thing that can sign executeTrade is code whose measured image contains no human-input path, then every trade is machine-decided by construction β€” not by policy, not by promise.
  2. An attestation registry. The v2 guard accepts an executor key only when it arrives with a valid attestation binding it to an approved runtime measurement; rotating an executor means submitting a fresh attestation. The custody trait then gains an execution analog every buyer can check: attested vs merely operated.
  3. Inference receipts. Every trade already carries a rationale; an attested runtime additionally commits a hash of the full inference transcript (market snapshot in, trade intent out) with each trade β€” auditable on demand without ever exposing the genome.
  4. What does not work. Behavioral statistics β€” 24/7 cadence, sub-second reaction to on-chain events β€” can flag a sleepy human but cannot prove a machine; that is monitoring, not verification. zkML (proving model inference in zero knowledge) would be the endgame and is not practical for frontier-model inference today.

Until attestation ships, "AI-traded" is an operator claim, and the prototype labels it as such.

7Provable Track Record

Every execution emits a TradeExecuted event with the trader's id, venue, tokens, amounts, and timestamp. An off-chain indexer folds these into NAV series, PnL, drawdown, and leaderboard data β€” but the indexer only summarizes; anyone can recompute the same numbers from public logs.

The genome commitment binds the record to the strategy: hash unchanged since birth block means the same brain produced every trade.

Wash trading, defended in depth. On-chain history proves the trades happened; it does not by itself prove they were arm's-length. Three mechanisms close most of the surface:

  1. Protocol curation. A trader can only ever touch protocol-curated venues and tokens β€” a handful of deep, established markets. An owner cannot allowlist their own pool or token, which removes the cheap version of painting PnL against self-controlled liquidity.
  2. The paper season. A track record must begin with real trades of the trader's own capital over a minimum period, so a freshly minted trader cannot be dressed up and flipped on day one.
  3. Recomputability. Anyone can rebuild every metric from raw logs; leaderboards still footnote that on-chain volume in curated pools is necessary, not sufficient, evidence of skill.

What curation cannot prevent is trading against the curated pool from an outside account to move its price; deep venues make that expensive, and TWAP pricing (Β§10) reduces what it can accomplish.

8Marketplace and Composability

The trader is a plain ERC-721. Seaport, OpenSea, Blur, and every existing NFT rail work on day one with zero protocol code β€” including trait filtering on the public genome traits and price discovery on the secondary market. A trader's floor price becomes a live market opinion on the value of a strategy plus its fee stream.

Buyer due-diligence checklist (the whitepaper's equivalent of a fund DDQ):

  1. Check the custody trait first: sealed traders (modes 1–2) have no plaintext to receive and nothing a prior owner can secretly retain; for an authored trader (mode 0), verify the genome hash matches the encrypted blob you will receive and price in that past owners keep the strategy.
  2. Inspect the token-bound wallet: balances, and any outstanding token approvals left by prior owners.
  3. Inspect vault state: NAV, share supply, fee parameters, high-water mark, accrued fees held in the trader's wallet.
  4. Check the current executor address β€” and rotate it immediately after purchase; the seller's runtime knew the old key.
  5. Recompute the track record from events rather than trusting a marketplace summary.

The stack above: wrapping funds in funds

Everything in this system is a standard primitive, which means everything in this system is potential collateral for the next layer up:

The honest counterweight: every layer compounds the risks of the layer below. Fees stack on fees; wrapped funds correlate hardest exactly when diversification is supposed to help; each wrapper widens the oracle and manipulation surface; and a token whose value derives from a fund whose value derives from other funds is a securities-law layer cake β€” investment-company regulation treats fund-of-funds structures more strictly, not less. Β§9 applies to every layer, with interest. The primitive composes; the obligations compose with it.

9Legal and Regulatory Considerations

This section is deliberately prominent, because the open-vault design intersects securities law about as directly as anything can.

Howey, applied plainly. An open vault takes (1) an investment of money, (2) in a common enterprise, (3) with an expectation of profits, (4) derived from the efforts of others β€” here, the AI agent and the protocol operator. That is the investment-contract test, and pooled vaults sit squarely inside it. The NFT itself, if marketed on its expected fee income, may independently be analyzed as a security.

Beyond Howey. A pooled vehicle of this kind may implicate the Investment Company Act (registration of pooled investment vehicles) and the Investment Advisers Act (the operator of a fee-earning strategy). These are not edge cases; they are the default analysis for this fact pattern.

Consequences for this project:

  1. The prototype is testnet-only. No mainnet deployment, no real deposits, no deposit UI on any public site.
  2. The vault's deposit allowlist ships on by default, so that any future gated launch (accredited investors, qualified purchasers, Reg D / Reg S structures) is a configuration, not a redesign.
  3. A closed mode β€” trader capital lives only in its own token-bound wallet, no outside deposits β€” is the legally lighter default and remains fully supported. An owner funding their own agent and selling it, capital included, raises far fewer pooling questions.
  4. Geo-fencing and marketing restraint are application-layer requirements for any future deployment.
  5. Nothing ships to mainnet without securities counsel. This is a gate, not a disclaimer.

10Risks

Everything described in this paper β€” contracts, runtime, documentation β€” is provided as-is, without warranty of any kind. Verification mechanisms are best-effort and clearly labeled; where a guarantee is not enforced on-chain or by attestation, it is a claim, not a promise.

11Roadmap

  1. Prototype (this repository): contracts + agent runtime + demo on a local chain.
  2. Testnet pilot (Base Sepolia): canonical ERC-6551 registry, real DEX routing, threshold-encryption genome handoff, public leaderboard.
  3. Audit + legal review gate: contract audit and securities counsel. Outcomes decide whether anything proceeds, and in what mode (closed-only vs. gated vaults).
  4. Mainnet decision: only after step 3, and possibly never for open vaults.