发现优质的 AI Agent 技能

聚合 Claude Skills、LangChain、AutoGPT 等优质资源,助力开发者快速构建智能应用

144,276浏览
2下载资源
1用户
广告位 728x90

共 2730 个技能

🔗

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).

documentopenclawarchivebackup+1
2329
0
🔗

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.

documentopenclawarchivebackup+1
2329
0
🔗

Hierarchical Risk Parity (HRP) Methodology

This document describes how **Hierarchical Risk Parity (HRP)** is implemented in RiskOfficer for portfolio construction (auto-generate flow).

documentopenclawarchivebackup+1
2329
0
🔗

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.

documentopenclawarchivebackup+1
2329
0
🔗

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).

documentopenclawarchivebackup+1
2329
0
🔗

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.

documentopenclawarchivebackup+1
2329
0
🔗

Auto Portfolio Generation Methodology

This document describes how **automatic portfolio generation** works in RiskOfficer: data preparation, strategies, and where each calculation runs.

documentopenclawarchivebackup+1
2329
0
🔗

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`).

aidocumentopenclawarchive+1
2329
0
🔗

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.

aiagentautomationdocument+1
2329
0
🔗

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.

aiagentdocumentopenclaw+1
2329
0
🔗

ClawPurse Improvements Summary

This document summarizes all the security enhancements, test infrastructure, and code improvements made to the ClawPurse cryptocurrency wallet project.

documentsecurityopenclawarchive+1
2329
0
🔗

claw-rag

Simple RAG over local text/markdown. - query (string): question to answer. - docsPath (string, optional): folder of docs (default ./docs relative to CWD). - k (number, optional): number of top matches (default 3).

markdownopenclawarchivebackup+1
2329
0
广告位 728x90