In today's volatile markets, traditional financial analysis isn't enough. Quantitative finance combines mathematical models, statistical methods, and computational power to uncover hidden patterns in market data. Whether you're managing portfolios, assessing credit risk, or developing trading strategies, quantitative analysis provides the precision and insight needed to make informed decisions.
Sourcetable transforms complex quantitative finance workflows into intuitive, spreadsheet-based solutions. No more switching between multiple tools or wrestling with complex programming languages. Everything you need for advanced financial modeling is at your fingertips.
Combine the power of advanced analytics with the familiarity of spreadsheets
Build sophisticated Value at Risk (VaR) and stress testing models with natural language commands. Our AI understands financial terminology and generates accurate risk assessments automatically.
Optimize asset allocation using modern portfolio theory, Black-Litterman models, and custom constraints. Watch your efficient frontier update in real-time as market conditions change.
Price complex derivatives using Black-Scholes, Monte Carlo simulations, and binomial trees. All calculations happen instantly within your familiar spreadsheet environment.
Test trading strategies against historical data with built-in performance metrics. Analyze Sharpe ratios, maximum drawdown, and alpha generation without complex coding.
Generate Basel III, CCAR, and other regulatory reports automatically. Our templates ensure compliance while saving hours of manual work.
Connect to Bloomberg, Reuters, and other market data providers. Your models update automatically with the latest prices and economic indicators.
See how finance professionals use Sourcetable for complex analysis
A regional bank built a comprehensive credit risk model using logistic regression and machine learning. They analyze loan default probabilities across different customer segments, incorporating macroeconomic factors and borrower characteristics. The model updates daily with new application data and market conditions.
A hedge fund developed a mean-reversion strategy for currency pairs using statistical arbitrage. They identify mispriced currency relationships, calculate optimal entry and exit points, and manage position sizing based on Kelly criterion. The strategy generated consistent alpha over 18 months of live trading.
An insurance company manages a $2B bond portfolio using duration matching and convexity analysis. They optimize yield while maintaining liability matching, analyze credit spread risk, and perform scenario analysis for interest rate changes. The model helps them stay within regulatory capital requirements.
A proprietary trading firm uses advanced Greeks calculations and volatility surface modeling for options market making. They calculate real-time fair values, manage delta hedging, and optimize bid-ask spreads across multiple strikes and expirations.
An asset manager created a quantitative ESG scoring model that incorporates environmental, social, and governance factors into investment decisions. The model weights various ESG metrics and generates composite scores for portfolio construction and risk management.
From data import to model deployment in four simple steps
Connect to market data providers, upload historical datasets, or import from existing systems. Sourcetable handles various data formats including CSV, Excel, and API connections to Bloomberg, Alpha Vantage, and other financial data sources.
Describe your analysis needs in plain English. Want to calculate portfolio beta? Need to run a Monte Carlo simulation? Our AI understands financial terminology and generates the appropriate formulas and models automatically.
Test your models against historical data to ensure accuracy. Sourcetable provides built-in validation tools, statistical tests, and performance metrics to verify your quantitative models before deployment.
Put your models into production with automated updates and monitoring. Set up alerts for risk limits, performance thresholds, and model drift. Share results with stakeholders through interactive dashboards.
Modern quantitative finance increasingly relies on machine learning techniques. Sourcetable makes it easy to implement random forests for credit scoring, neural networks for price prediction, and clustering algorithms for portfolio construction. Our AI assistant can help you choose the right algorithm for your specific use case.
Analyze tick-by-tick market data to identify microstructure patterns and execution opportunities. Calculate realized volatility, detect market impact, and optimize order execution strategies. Sourcetable handles large datasets efficiently, allowing you to work with millions of data points without performance issues.
Incorporate alternative data sources like satellite imagery, social media sentiment, and web scraping into your models. This non-traditional data can provide unique insights and alpha generation opportunities. Our flexible data integration allows you to combine traditional financial data with alternative sources seamlessly.
Yes, Sourcetable supports various regulatory frameworks including Basel III, CCAR, IFRS 9, and Solvency II. Our templates ensure compliance while automating much of the reporting process. You can also create custom reports for specific regulatory requirements.
Sourcetable is optimized for large datasets commonly used in quantitative finance. We can handle millions of rows of market data, historical prices, and transaction records. Our cloud-based architecture ensures fast processing even with complex calculations.
Absolutely. Sourcetable offers APIs and connectors for popular risk management platforms like Murex, Calypso, and Summit. You can also export results to existing systems or use our outputs as inputs for downstream processes.
Sourcetable supports pricing for a wide range of derivatives including vanilla and exotic options, swaps, forwards, futures, and structured products. We provide both analytical and numerical methods including Monte Carlo simulations and finite difference methods.
Security is our top priority. Sourcetable is SOC 2 Type II certified and uses enterprise-grade encryption for data at rest and in transit. We also support single sign-on (SSO) and role-based access controls to ensure your sensitive financial data remains protected.
Yes, Sourcetable supports real-time data feeds from major market data providers. Your models and dashboards update automatically as new data arrives, enabling real-time risk monitoring, portfolio tracking, and trading decision support.
Quantitative finance doesn't have to be intimidating or require extensive programming knowledge. With Sourcetable, you can perform sophisticated analysis using familiar spreadsheet interfaces enhanced by AI capabilities.
Whether you're building risk models, optimizing portfolios, or developing trading strategies, Sourcetable provides the tools and flexibility you need. Our platform scales from individual analysis to enterprise-wide risk management systems.
Ready to see how Sourcetable can revolutionize your quantitative finance workflow? Start your free trial today and experience the future of financial analysis.
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