Autonomous Agents & Declarative Manifests

Any strategy in Sisera can become a persistent autonomous agent (/agents and @sisera/agent-runtime) that monitors markets around the clock using the exact same technical, valuation, corroborated event, liquidity, and portfolio intelligence available to a human trader.

Institutional Governance Principles

No Direct Execution: Agents never execute orders directly against venues. They emit structured trade proposals to the policy evaluator and pre-trade risk engine.
Deterministic Sandboxing: Strategies execute inside isolated evaluation contexts with hard caps on maximum allocated capital, per-trade notional, open positions, and slippage budget.
Immutable Version Hashing: Every agent configuration is compiled into a cryptographically hashed manifest. Modifying any parameter (universe, entry/exit rule, stop-loss, or capital limit) produces a new manifest version that restarts promotion evaluation from draft.

The Six Autonomy Levels

Operators assign each agent an explicit autonomy disposition (POST /v1/agents/:id/autonomy):

Level	Identifier	Execution Authority	Human Supervision
0	`research` (`RESEARCH`)	Read-only market data and quantitative evaluation. Cannot propose trades.	None
1	`suggest` (`SUGGEST`)	Generates trade recommendations and signals with full rule rationale.	Operator must manually create and submit the order.
2	`confirm` (`CONFIRM`)	Compiles structured trade proposals (`GET /v1/agent-orders`); awaits one-tap approval.	Mandatory operator approval (`POST /v1/agent-orders/:id/approve`) per trade.
3	`policy_auto` (`POLICY_AUTO`)	Automatically executes proposals that strictly satisfy the manifest and risk mandate.	Real-time monitoring; manual pause/kill override (`POST /v1/agents/:id/pause`).
4	`autonomous` (`AUTONOMOUS`)	Continuous multi-market execution within risk boundaries.	Daily supervision; automated circuit breakers.
5	`risk_only` (`EMERGENCY_RISK_ONLY`)	Dedicated watchdog mode authorized only to reduce exposure or close positions.	Post-incident audit review.

Declarative Manifest Specification

Agents can be authored via YAML manifests (AGENTS.md) or structured JSON payloads (POST /v1/agents and POST /v1/agents/:id/versions):

version: "2.0"
agent:
  id: "btc_momentum_alpha_v2"
  name: "BTC Trend Follower v2"
  description: "Multi-timeframe trend following with dynamic funding rate filter"
  autonomy_level: "POLICY_AUTO"
  lifecycle_stage: "PAPER"

capital_allocation:
  max_capital_usd: "100000.00"
  max_trade_notional_usd: "25000.00"
  max_leverage: "3.0"

strategy:
  universe:
    - "binance:BTC/USDT:perpetual"
    - "hyperliquid:BTC-USD:perpetual"
  timeframes: ["5m", "1h", "4h"]
  factors:
    - name: "ema_cross"
      parameters: { fast: 12, slow: 26 }
    - name: "funding_percentile"
      parameters: { window_days: 14, max_percentile: 85 }

risk_guardrails:
  max_daily_drawdown_pct: 3.5
  stop_loss_pct: 1.5
  take_profit_pct: 4.0
  max_open_positions: 2
  kill_switch_action: "CANCEL_ALL_AND_HALT"

execution:
  algorithm: "SOR_MAKER_FIRST"
  max_slippage_bps: 2.5
  urgency: "MEDIUM"

{
  "name": "NVDAx Fair-Value Reversion Agent",
  "universe": ["NVDAx", "TSLAx"],
  "timeframe": "1h",
  "entryConditions": [
    { "type": "premium_below", "pct": -1.5 },
    { "type": "rsi_below", "period": 14, "value": 38 },
    { "type": "no_negative_event", "minSeverity": "high", "lookbackHours": 24, "includeRumors": true }
  ],
  "exitConditions": [
    { "type": "premium_above", "pct": 0.5 },
    { "type": "rsi_above", "period": 14, "value": 65 }
  ],
  "maxCapitalUsd": 50000,
  "maxTradeNotionalUsd": 10000,
  "stopLossPct": 2.0,
  "takeProfitPct": 4.5,
  "maxDailyDrawdownPct": 3.0,
  "maxOpenPositions": 2,
  "maxSlippageBps": 35
}

Append-Only Decision Trail

Every 60 seconds, the agent runtime ticks each active agent and writes an immutable decision record to PostgreSQL containing:

Observed State: Exact market prices, Pyth reference premiums, technical indicator values, and active event clusters at tick time.
Rule Evaluation Matrix: Pass/fail status for every entry and exit condition in the manifest.
Disposition & Risk Outcome: Whether the tick resulted in hold, propose_entry, propose_exit, or blocked_by_risk, along with full pre-trade risk engine attribution.
Agent Book Accounting: Proposals, fills, realized P&L, and implementation slippage are attributed directly to the agent’s isolated book.

Getting Started

Markets & Execution

Intelligence & AI Policies

Autonomous Agents & Marketplace

Token & Curve Launches

Portfolio, Risk & Security

Autonomous Agents & Declarative Manifests

Institutional Governance Principles

The Six Autonomy Levels

Declarative Manifest Specification

Append-Only Decision Trail

​Institutional Governance Principles

​The Six Autonomy Levels

​Declarative Manifest Specification

​Append-Only Decision Trail

Institutional Governance Principles

The Six Autonomy Levels

Declarative Manifest Specification

Append-Only Decision Trail