The derivatives market moves fast. One minute you're analyzing a covered call strategy, the next you're stress-testing a complex butterfly spread against volatility scenarios. Traditional spreadsheets crash under the weight of real-time calculations and multi-dimensional analysis.
That's where Sourcetable transforms your workflow. Instead of wrestling with slow formulas and static models, you get AI-powered analysis that adapts to market conditions, backtests strategies instantly, and delivers insights that help you make confident trading decisions.
Transform complex derivatives analysis from a time-consuming challenge into a strategic advantage
Calculate Delta, Gamma, Theta, and Vega automatically across your entire portfolio with live market data integration
Test option strategies against historical data with Monte Carlo simulations and scenario analysis built-in
Monitor position limits, correlation risks, and portfolio-wide exposure with automated alerts and reporting
Build and analyze implied volatility surfaces with advanced interpolation and curve fitting algorithms
Analyze equity options, futures, swaps, and exotic derivatives in a single integrated workspace
Generate compliance reports automatically with audit trails and documentation for regulatory requirements
See how finance professionals use Sourcetable to analyze complex trading strategies and optimize portfolio performance
A portfolio manager needed to analyze iron condor spreads across 50 different stocks. Using Sourcetable, they built a model that automatically calculates profit/loss zones, optimal strike selection, and time decay scenarios. The AI assistant helped optimize entry timing based on implied volatility rankings, resulting in a 23% improvement in strategy performance.
An institutional investor managing a $500M equity portfolio wanted to enhance returns through systematic covered call writing. They used Sourcetable to screen for optimal strike prices and expiration dates, considering dividend schedules and earnings announcements. The integrated backtesting showed which stocks performed best with covered calls, leading to a 180 basis point annual return enhancement.
A proprietary trading desk needed to identify volatility arbitrage opportunities across different option expirations. Their Sourcetable model compares implied volatility to historical volatility forecasts, identifies mispriced options, and calculates optimal hedge ratios. The automated alerts notify traders when volatility spreads exceed profitable thresholds, capturing 15-20 basis points per trade.
A hedge fund running credit spread strategies across multiple sectors needed better risk monitoring. They built a Sourcetable dashboard that tracks Greeks exposure by sector, monitors correlation between positions, and simulates portfolio performance under stress scenarios. This comprehensive view helped them reduce maximum drawdown by 40% while maintaining target returns.
See how Sourcetable streamlines your derivatives analysis workflow
Connect to your broker API, upload historical data, or paste from existing spreadsheets. Sourcetable handles multiple data formats and automatically structures your information for analysis.
Use pre-built templates for common strategies or let the AI assistant help you construct custom models. Black-Scholes, binomial trees, and Monte Carlo methods are all available with simple prompts.
Run scenario analysis, stress tests, and backtests with a few clicks. The AI identifies optimal parameters and suggests improvements based on historical performance and current market conditions.
Set up automated monitoring dashboards and generate professional reports. Share insights with stakeholders or export to your existing risk management systems.
Value complex instruments like barrier options, Asian options, and structured products using advanced numerical methods. Sourcetable's AI handles the mathematical complexity while you focus on strategy development.
Understand how derivatives positions interact across different asset classes. The platform automatically calculates correlation matrices, identifies concentration risks, and suggests hedging opportunities to optimize your portfolio balance.
Build delta-neutral portfolios that automatically adjust hedge ratios as market conditions change. Monitor gamma exposure and implement systematic rebalancing rules to maintain target risk profiles.
Analyze how scheduled events impact option pricing and develop strategies around earnings announcements, Fed meetings, and product launches. Historical event impact analysis helps predict volatility patterns and optimize position timing.
Enhance returns through systematic options strategies, overlay programs, and tail risk hedging. Generate alpha while managing downside risk across large equity or fixed-income portfolios.
Monitor firm-wide derivatives exposure, stress test portfolios under extreme scenarios, and ensure compliance with risk limits. Create comprehensive risk reports for senior management and regulators.
Identify arbitrage opportunities, optimize trade sizing, and develop systematic trading strategies. Backtest ideas quickly and implement automated screening for new opportunities.
Implement client-appropriate options strategies for income generation, downside protection, and tax optimization. Educate clients with clear visualizations of strategy payoffs and risks.
Yes, Sourcetable supports unlimited complexity in strategy construction. Whether you're building simple covered calls or complex iron butterflies with multiple expirations, the platform handles the calculations automatically. The AI assistant can even suggest optimal leg combinations based on your market outlook and risk tolerance.
Sourcetable connects to major market data providers to stream live option prices, underlying asset prices, and volatility data. Greeks are calculated in real-time, and your models update automatically as market conditions change. You can also import historical data for backtesting and scenario analysis.
The platform includes Black-Scholes, binomial trees, Monte Carlo simulation, and finite difference methods. For exotic options, Sourcetable automatically selects the appropriate pricing method based on the instrument's characteristics. You can also implement custom pricing models using the built-in programming capabilities.
Absolutely. Sourcetable's backtesting engine allows you to test strategies across bull markets, bear markets, high volatility periods, and low volatility environments. You can analyze performance during specific events like earnings seasons or market crashes to understand strategy robustness.
The platform automatically generates reports that comply with major regulatory frameworks. You can track position limits, calculate risk metrics like VaR and Expected Shortfall, and maintain audit trails for all trades. Reports can be exported in formats required by regulators or internal compliance teams.
Yes, Sourcetable supports bonds, interest rate swaps, caps, floors, and other fixed income derivatives. The platform includes yield curve modeling, duration analysis, and convexity calculations. You can analyze the impact of rate changes on your entire fixed income derivatives portfolio.
If you question is not covered here, you can contact our team.
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