# Strategy Hypothesis To Live

> Formulates new trading strategies, runs a swarm debate to vet them, backtests them, and rolls out from paper trade to live capital endpoints.

- Skill: `knuckles-team/strategy-hypothesis-to-live` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add knuckles-team/strategy-hypothesis-to-live`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knuckles-team/strategy-hypothesis-to-live/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Knuckles-Team (https://skillmd.com/u/knuckles-team)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/knuckles-team/strategy-hypothesis-to-live

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# Strategy Hypothesis To Live Workflow

**CONCEPT:EE-011**

Formulates new trading strategies, runs a swarm debate to vet them, backtests them, and rolls out from paper trade to live capital endpoints.

## Steps

### Step 1: Hypothesis Generator
**Agent**: `data-fetcher`
**Tools**: `graph_query, sx_search`

Formulates new trading strategies using historical market regimes and anomalies data.
Expected: `strategy-blueprint`

### Step 2: Swarm Debate [depends_on: hypothesis-generator]
**Agent**: `compute-engine`
**Tools**: `graph_analyze`

Runs a quant debate between analyst and trader to vet the strategy logic.
Expected: `debate-transcript-and-feedback`

### Step 3: Backtest Evaluator [depends_on: swarm-debate]
**Agent**: `risk-assessor`
**Tools**: `graph_query, graph_analyze`

Backtests the strategy over 5 years of historical tick-level data.
Expected: `backtest-performance-metrics`

### Step 4: Paper Trade Run [depends_on: backtest-evaluator]
**Agent**: `report-generator`
**Tools**: `graph_write, document_tools`

Deploys to a simulated paper trading exchange for 30 days to measure forward performance.
Expected: `paper-trade-forward-tearsheet`

### Step 5: Live Deploy Gate [depends_on: paper-trade-run]
**Agent**: `data-fetcher`
**Tools**: `graph_query, sx_search`

Formally deploys the strategy to live execution with restricted capital limits.
Expected: `live-deployment-receipt`

### Step 6: KG Persistence [depends_on: live-deploy-gate]
**Agent**: `report-generator`
**Tools**: `graph_write`

Persist workflow results as nodes and edges in the Knowledge Graph.
Create appropriate typed nodes with metadata and link to existing domain entities.

## Output
- Strategy Hypothesis To Live results persisted in KG
- Structured report (MD/PDF)
- Audit trail with timestamps and agent attributions

## Execution

Run this workflow as a dependency-ordered DAG. Steps with no unmet `depends_on` run in parallel; dependents run after their prerequisites complete.

- **Run first (in parallel):** Step 1 — Hypothesis Generator
- **After level 0:** Step 2 — Swarm Debate
- **After level 1:** Step 3 — Backtest Evaluator
- **After level 2:** Step 4 — Paper Trade Run
- **After level 3:** Step 5 — Live Deploy Gate
- **After level 4:** Step 6 — KG Persistence

**Execution:** If graph-os is reachable, offload the whole DAG via `graph_orchestrate action=execute_workflow` (or the `kg-delegate` skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet `depends_on` in parallel, then their dependents.