Pangura Module Library
Every analytical capability in Pangura is a module (a node on the Canvas). Modules are organized in a 5-layer architecture:
| Layer | Description | Examples |
|---|---|---|
| Layer 0 | Atomic inputs | price_factor, macro_factor, sentiment_factor |
| Layer 1 | Composite indicators | mfle_regime, contagion_sim_v1, reflexivity_detector_v1 |
| Layer 2 | Signal generators | bull_agent_v1, blcv_equity_scan_v1, fama_french_v1 |
| Layer 3 | Strategy vessels | casa_strategy_v1, institution_composite, portfolio_optimization_v1 |
| Layer 4 | Meta-strategy | meta_strategy |
What a module reference card includes
- What — what the module does (one-liner)
- How — how to use (node params, when to pick it)
- Why — research lineage (paper citation + URL + role)
- Assumptions — core assumptions and applicability
- Formulas — core formulas (LaTeX)
- Contract — input / output schemas
- Code — implementation path
- Golden test — cross-validated reference (Bloomberg / Excel / statsmodels / ...)
Browse
- Layer 0 — Atomic factors
- Layer 1 — Composite indicators
- Layer 2 — Signal generators
- Layer 3 — Strategy vessels
- Layer 4 — Meta-strategy
INFO
Initially most module pages are stubs produced by scripts/cangjie-scaffold.ts. Content (citations, formulas, golden-test links) is filled in progressively during beta.