A sophisticated quantitative finance toolkit for portfolio optimization, automated backtesting, and multi-asset risk parity analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install temp-skill
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install temp-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Financial Analysis Skill is a powerful extension designed for investors and developers who need to perform deep quantitative analysis on diversified portfolios. It integrates seamlessly with popular data providers to fetch market data for stocks, ETFs, and cryptocurrencies, allowing for comprehensive risk assessment and return analysis. As part of the Openclaw Skills ecosystem, this tool simplifies the complexity of financial modeling by providing built-in logic for risk parity and performance visualization.
This skill is particularly valuable for users who want to move beyond static spreadsheets into dynamic, code-driven investment research. By utilizing rolling window calculations and expanding window volatility metrics, it ensures that your financial strategies are grounded in rigorous technical standards while avoiding common pitfalls like look-ahead bias.
To get started with this financial module within Openclaw Skills, install the required Python libraries:
pip install yfinance pandas numpy matplotlib seaborn plotly
If you are using Alpha Vantage for data, configure your API key as an environment variable:
export ALPHA_VANTAGE_API_KEY=your_key_here
The skill manages data through structured JSON configurations and generates diverse analytical outputs:
| Component | Format | Description |
|---|---|---|
| Portfolio Config | JSON | Key-value pairs of asset symbols and their target weights. |
| Performance Report | TXT | A detailed summary of returns, risk metrics, and rebalancing logs. |
| Analytics Data | JSON | Raw calculated data including rolling weights and daily returns. |
| Visualizations | PNG | Includes return curves, correlation heatmaps, and allocation charts. |
| Market Data | CSV | Input format for custom price and return data. |
Loading
A professional-grade financial toolkit for portfolio optimization, risk parity analysis, and automated backtesting using multi-source market data.

A sophisticated financial modeling tool for risk parity portfolio optimization and historical backtesting using local market data.

A specialized skill for automating TRC20 token payments to AI agent endpoints using the x402 protocol on the TRON network.

An automated prediction market scanner and trading agent that leverages the Simmer API to identify and execute high-probability trades.

A travel intelligence skill that identifies hidden-city flight deals and flexible itineraries using the Skiplagged Model Context Protocol server.

A macOS-specific automation for seamlessly sending images to phone numbers via the native iMessage application.








































