einstein-research-options-dvOptions trading strategy analysis and simulation tool. Provides theoretical pricing using Black-Scholes model, Greeks calculation, strategy P/L simulation, a...
Install via ClawdBot CLI:
clawdbot install clawdiri-ai/einstein-research-options-dvGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://financialmodelingprep.com/api/v3/historical-price-full/{symbol}Audited Apr 16, 2026 · audit v1.0
Generated Oct 4, 2026
Retail traders analyze an upcoming earnings report and simulate a long straddle or iron condor on a high-beta tech stock using the skill's Black-Scholes pricing and volatility analysis. The tool helps assess implied vs. historical volatility and potential P/L outcomes.
A portfolio manager wants to generate additional income on existing stock holdings by selling covered calls. The skill calculates theoretical premiums, max profit, break-even points, and Greeks to evaluate the trade-off between income and upside potential.
An executive holds a large position in a single stock and seeks downside protection using protective puts. The skill simulates P/L, estimates cost via Black-Scholes, and provides risk metrics like max loss and break-even.
An individual investor learns about options strategies through hands-on simulation. The skill explains Greeks, P/L charts, and risk management in plain language, making complex concepts accessible without real capital.
A quant developer tests various options strategies (e.g., iron condors, credit spreads) across different underlying assets and market conditions. The skill's simulation engine and volatility inputs enable rapid hypothesis testing.
Basic options analysis and limited simulations are free, while advanced features like real-time data integration, portfolio tracking, and custom volatility models require a monthly subscription.
Developers and trading platforms can integrate the options pricing and simulation engine via a pay-per-call API, enabling automated strategy analysis within their own applications.
Brokerages and financial advisory firms license the skill as a white-label tool to offer options analysis to their clients, enhancing their platform's capabilities.
💬 Integration Tip
Ensure Python environment has yfinance and required libraries; validate user inputs to avoid errors in Black-Scholes calculations. For real-time data, consider integrating a paid market data API.
Scored Oct 4, 2026
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