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98a6f9a0b1
The initial M-series specs were wrong (text digestion pipeline). Replaced
with the actual economy organ architecture:
M0 hub (independent system, scoped autonomy, multi-layered braking)
M1 Marketplace (multi-trader harness, deterministic law script, veto)
M2 Data Feeds (RSS + live market, bridges Marketplace ↔ Sims)
M3 Sims hub + 7 sub-specs (always-running, bounded predictions):
M3a statistical, M3b sociological, M3c AMM/liquidity,
M3d MEV/adversarial, M3e tokenomics/macro, M3f consensus/staking,
M3g market microstructure
M4 Wallets (sovereign custody, our keys only, 1:1 trader binding)
M5 Traders (AI actors, wallet-bound, all tool calls monitored)
M6 Conductor (supervisory AI, veto, pause/investigate, SAE intake)
M7 SAE monitor (trader surveillance, Brain-compatible message format)
Grounded in AMM invariant mechanics, MEV game theory, SDE tokenomics,
and evolutionary consensus games. Tax stub for Verschwörern Veregeister.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
79 lines
4.4 KiB
Markdown
79 lines
4.4 KiB
Markdown
# M5 — Traders (AI actors)
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## 1. Component
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The economy organ's hands: **specialized AI actors** that buy, sell, and mint cryptocurrency and
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NFTs. Each trader is bound to a Wallet (M4), operates through the Marketplace (M1), queries Sims
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(M3) for predictions, and has all tool calls monitored by the SAE (M7). Multiple traders may
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operate concurrently with **different specializations** (DeFi yield, NFT minting, arbitrage,
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long-term holding, etc.).
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## 2. Status / certainty
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DESIGN-FIRST · ABSENT. Role C3; implementation C1.
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## 3. Language & location
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TBD · `src/economy/traders/`. Each trader is an AI actor — likely LLM-based (small models for
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speed) or hybrid (LLM for strategy + deterministic execution logic). The harness managing
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multiple traders may be Pony actors or a Python async framework.
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## 4. Does / does-not
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- **Does:** query Sims (M3) for market predictions (bounded, multi-domain); consume Data Feeds
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(M2) for real-time market state; formulate trade decisions based on predictions + data +
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specialization; submit `MarketAction` requests to the Marketplace (M1) via bound wallet (M4);
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operate with **scoped autonomy** — trades within law/budget constraints don't need Brain or
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Conductor approval.
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- **Does-not:** execute on-chain directly (Marketplace does); hold keys (Wallet does); supervise
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other traders (Conductor does); modify the law script (immutable — M1-L2); bypass the
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Marketplace (M1-L1).
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## 5. Interface contract
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- `init_trader(specialization, wallet_id, config) -> trader_id`.
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`specialization` ∈ { `defi_yield`, `nft_minter`, `arbitrageur`, `trend_follower`,
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`market_maker`, … } — extensible.
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- `decide(market_state, predictions: [BoundedPrediction]) -> MarketAction?` — the trader's core
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loop. May return no action (waiting is a valid decision).
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- `tool_call(tool_name, args) -> result` — every tool call is intercepted and logged to SAE (M7)
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before execution. Includes Marketplace submissions, Sim queries, and Data Feed reads.
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- `pause() / resume()` — Conductor (M6) can pause a trader pending investigation.
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- `status() -> { active | paused | investigating, wallet_id, specialization, position_summary }`.
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## 6. Dependencies & stubs
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- M1 Marketplace — action submission; *stub:* mock marketplace that logs actions.
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- M2 Data Feeds — market data; *stub:* canned data.
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- M3 Sims — predictions; *stub:* fixed predictions.
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- M4 Wallet — bound 1:1; *stub:* mock wallet.
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- M6 Conductor — supervision; *stub:* no supervision.
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- M7 SAE — monitors all tool calls; *stub:* print calls.
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## 7. Invariants / laws
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- **L1 (C5):** **all market actions go through the Marketplace** — a trader cannot interact with
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any chain or protocol except via `MarketAction` → Marketplace (M1). Enforced by architecture
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(no direct RPC access), not just policy.
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- **L2 (C5):** **all tool calls are monitored** — every tool invocation (Marketplace, Sims,
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Feeds, internal) is logged to SAE (M7). No unmonitored trader action.
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- **L3 (C4):** **wallet binding is irrevocable within a session** — a trader's wallet cannot be
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reassigned to another trader at runtime.
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- **L4 (C4):** **Conductor can pause** — a paused trader cannot submit actions, query sims, or
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read feeds until resumed by the Conductor (M6).
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- **L5 (C3):** trader specialization constrains strategy but not the interface — all traders use
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the same `MarketAction` vocabulary regardless of specialization.
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## 8. Build steps
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1. Define the trader agent architecture (LLM-based? hybrid? rule-based for v1?).
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2. Implement the `decide` loop (observe market state + predictions → action).
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3. Wire tool-call interception → M7 SAE.
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4. Wire Marketplace submission → M1.
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5. Implement pause/resume for Conductor control.
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6. Build at least two specializations to test multi-trader dynamics.
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## 9. Tests
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Marketplace-only: trader cannot call chain RPC directly. Monitoring: every tool call appears in
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SAE log. Wallet binding: trader uses only its bound wallet. Pause: paused trader cannot submit
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actions. Specialization: different specializations produce different action patterns on identical
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market state.
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## 10. Open items
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- Trader agent architecture (which LLM? how much deterministic logic vs. model inference?).
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- Number of concurrent traders and resource allocation per trader.
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- Specialization catalog (which types, and how do they differ in strategy?).
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- Inter-trader coordination (do traders see each other's positions? shared state? isolated?).
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