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Monte Carlo Simulation Methodology
This document describes how **Monte Carlo** portfolio forecasts are implemented in RiskOfficer. The logic runs in the **RiskOfficer backend** (risk_service).
Portfolio Metrics (Sharpe, Volatility, Max Drawdown)
This document describes how **Sharpe ratio**, **volatility**, **max drawdown**, and related metrics are computed in RiskOfficer. They appear in VaR responses, optimization results, and construct-portfolio outputs.
Hierarchical Risk Parity (HRP) Methodology
This document describes how **Hierarchical Risk Parity (HRP)** is implemented in RiskOfficer for portfolio construction (auto-generate flow).
Cross-Portfolio PnL Correlation Methodology
This document describes how **cross-portfolio PnL correlation** and optional **crisis regime analysis** are implemented in RiskOfficer. The logic runs in the **RiskOfficer backend** (Celery task `correlation.run_correlation_analysis`); market data (historical prices) comes from the Data Service.
Calmar Ratio and Max-Calmar Optimization
This document describes how the **Calmar ratio** is defined and how **Max-Calmar** optimization is implemented in RiskOfficer (ComputeService and construct-portfolio).
Black-Litterman Optimization Methodology
This document describes how **Black-Litterman (BL)** portfolio optimization is implemented in RiskOfficer. The logic runs in **ComputeService** (`optimize_bl`); the RiskOfficer backend fetches market data from the Data Service and passes it to ComputeService.
Auto Portfolio Generation Methodology
This document describes how **automatic portfolio generation** works in RiskOfficer: data preparation, strategies, and where each calculation runs.
Aggregated Portfolio (Center Book) Methodology
This document describes how the **aggregated portfolio** (combined view across user portfolios) and its **daily PnL** are implemented in RiskOfficer. The logic runs in the **RiskOfficer backend** (`portfolio_service.get_aggregated_portfolio`, pure helpers in `aggregation_math`).
ClawPurse Trust Model
This document explains how AI agents, automation systems, and individual operators can establish trust in ClawPurse wallets and verify the integrity of transactions.
ClawPurse Test Plan
This document outlines the comprehensive testing strategy for ClawPurse, a local cryptocurrency wallet for the Neutaro blockchain designed for AI agents and individual users.
ClawPurse Improvements Summary
This document summarizes all the security enhancements, test infrastructure, and code improvements made to the ClawPurse cryptocurrency wallet project.