A deterministic quantitative finance engine providing 63 specialized computational tools for AI agents via the Model Context Protocol.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install quantoracle
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install quantoracle using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is QuantOracle?
QuantOracle is a comprehensive computational library designed to bring professional-grade financial modeling to the Openclaw Skills ecosystem. It provides AI agents with 63 deterministic tools that bridge the gap between natural language reasoning and precise mathematical execution. By using the Model Context Protocol (MCP), QuantOracle allows agents to perform complex calculations including Black-Scholes pricing, Greeks analysis, Monte Carlo simulations, and portfolio optimization with absolute accuracy.
Every tool within QuantOracle follows a strict JSON-in and JSON-out protocol, ensuring that inputs always produce the same outputs. This deterministic nature is critical for developers building financial assistants, automated traders, or risk management systems where hallucinations cannot be tolerated. Whether you are analyzing traditional equities or navigating the complexities of DeFi and crypto-specific metrics like impermanent loss, this skill provides the necessary mathematical backbone.
QuantOracle Use Cases
- Pricing complex option contracts and calculating real-time Greeks for risk management.
- Running Monte Carlo simulations to forecast potential asset price paths over specific timeframes.
- Optimizing investment portfolios using mean-variance and risk parity weighting strategies.
- Calculating DeFi-specific metrics such as impermanent loss for Uniswap v3 and funding rate analysis.
- Performing statistical regression and cointegration tests for algorithmic trading strategy development.
How QuantOracle Works
- The AI agent receives a financial query from the user involving quantitative data or modeling.
- The agent selects the appropriate tool from the QuantOracle library based on the required calculation.
- A structured JSON request is sent to the QuantOracle MCP server containing the necessary parameters.
- QuantOracle executes the deterministic mathematical model and returns a precise JSON response.
- The agent interprets the numerical results to provide the user with actionable financial insights or data visualizations.
QuantOracle Setup
To integrate this skill into your environment, you can install it via npm:
npx quantoracle-mcp
Alternatively, you can connect your agent directly to the hosted MCP endpoint provided by the developer:
https://mcp.quantoracle.dev/mcp
Ensure your agent is configured to communicate with Openclaw Skills using the Model Context Protocol.
QuantOracle Data Schema & Taxonomy
QuantOracle organizes its functionality into specialized computational modules. All data is exchanged via JSON.
| Module | Key Metrics | Typical Inputs |
|---|---|---|
| Options & Greeks | Delta, Gamma, Theta, Vega, Rho | Spot, Strike, Expiry, Volatility |
| Risk & Portfolio | Sharpe, Sortino, VaR, Max Drawdown | Returns array, Risk-free rate |
| Monte Carlo | Path projections, confidence intervals | Drift, Volatility, Steps, Paths |
| Crypto/DeFi | Impermanent loss, APY/APR, Slippage | Pool price, Range, Liquidity |
| Statistics | Regression, Cointegration, GARCH | Time-series price data |
QuantOracle Advanced Features
- Support for exotic derivatives including barrier, lookback, and Asian options.
- Sophisticated volatility surface analysis and option chain processing.
- Integrated x402 payment protocol for seamless pay-per-call scaling on the Base network.
- Advanced regime detection and crossover analysis for technical indicators.
- Multi-leg strategy builder for analyzing complex derivative spreads and payoff diagrams.
SKILL.md
Loading
Related Openclaw Skills
Cao Dewang Perspective v2.0
An AI-driven mental model that emulates the strategic decision-making and ethical framework of Fuyao Glass founder Cao Dewang.
He Xiangjian Thinking Perspective v2.0
A sophisticated AI mental model simulating the strategic governance and leadership philosophy of Midea Group founder He Xiangjian.
NanoGPT Plugin
An integration plugin for OpenClaw that provides a dynamic model catalog and usage tracking via the NanoGPT API.
Fang Hongbo Perspective v2.0
A sophisticated AI cognitive model simulating the strategic leadership and professional management philosophy of Midea Group Chairman Fang Hongbo.
Li Shufu Thinking Perspective v2.0
An AI-driven strategic thinking framework modeled after Li Shufu's business philosophy for analyzing complex global corporate decisions.
Dong Mingzhu Strategic Thinking Model v2.0
An AI-driven mental model simulating the strategic, quality-obsessed, and independent innovation framework of Gree Electric's Chairwoman.
Featured*
