Incredibuild for Quant
Deliver quant models faster with shorter builds and improve your quants’ time-to-market for modeling, algorithms, and simulations.
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Faster Iteration
Incredibuild significantly shortens C++ build times, letting you compile models faster and iterate more frequently to continuously refine and optimize financial models.
Stable FinServ environments
Incredibuild works on top of existing models and complex systems involving C++ without changing workflows, tools, or code to ensure compatibility and peak performance.
Stay Compliant
IncredibBuild optimizes performance without disrupting your existing compliance setup. Our future-facing approach lets you respond easily to evolving regulations, ensuring your operations remain both cutting-edge and compliant.
How we do it
Quants rely heavily on C++ to build models in an environment that requires high performance and quick response times. Incredibuild distributes the compilation processes across multiple cores and machines, drastically reducing build times by leveraging idle computing power within your network. Our caching technology cuts down build times even further by reusing previous build artifacts from across your organization to enable true build-per-commit.
Learn more about the Incredibuild platformEnhanced Performance for Algorithmic Trading
Incredibuild accelerates the C++ build process and ensures that trading strategies and models can swiftly adapt to market changes, maintaining a competitive edge.
Improved Efficiency in Market Analysis
Quants use sophisticated algorithms to predict market trends and make informed decisions. Incredibuild lets quant teams zip through the integration of their C++ models, allowing for frequent iterations and better responsiveness to real-time market data.
Optimized Risk Management
Incredibuild facilitates faster iterations and deployments helping Quants ensure that risk management systems remain up-to-date and efficient, helping firms to proactively manage and mitigate potential risks.
Real-Time Quant Enhancements
Enable real-time market analysis by quickly compiling and deploying models that process financial data. Stay ahead with the most accurate and up-to-date information.
Incredibuild enabled us to drastically reduce our release cycles from 2 hours to 12 minutes, allowing us to run any number of builds per day.
Alon Gilat, Release Manager, RetalixFrequently asked questions
How does Incredibuild speed up C++ builds?
Incredibuild distributes the compilation processes across multiple cores and machines, drastically reducing build times by leveraging idle computing power within your network. Our caching technology cuts down build times even further by reusing previous build artifacts from across your organization to enable true build-per-commit.
Is Incredibuild compatible with my existing development tools?
Yes, Incredibuild seamlessly integrates with various development environments and tools, ensuring a smooth transition and immediate performance improvements.
Can Incredibuild handle large-scale financial models?
Absolutely. Incredibuild is designed to handle complex and large-scale builds, making it ideal for financial applications that require intensive computations and frequent updates.
What support does Incredibuild offer for financial services?
Incredibuild offers comprehensive support, including dedicated account managers and technical experts familiar with the unique challenges of the financial services industry.
How can I get started with Incredibuild?
You can start your free trial now, contact us to request a demo, or speak with our experts to see how Incredibuild can be tailored to your specific needs in quantitative finance.
Quant Performance Benchmarks
The efficiency of Incredibuild in accelerating build times is demonstrated through updated benchmarks on standard projects:
Without Incredibuild | |
| Average C++ Build Time | 3 hr |
| Number of Iterations per Day | 2 |
| Time to Market for New Models | 2 weeks |
| Downtime During Builds | High |
With Incredibuild | |
| Average C++ Build Time | 30 min |
| Number of Iterations per Day | 10 |
| Time to Market for New Models | 5 days |
| Downtime During Builds | low |
