Code Willing Unveils Revolutionary CWIQ Platform
Code Willing, Inc. has launched its cutting-edge CWIQ platform, specifically engineered for hedge funds. This advanced platform is tailored to streamline the data analysis processes needed for model development, simulation, and backtesting, enabling research teams to dedicate their efforts towards critical areas such as data science, feature engineering, and generating alpha, all while making the best use of compute resources for better returns.
Features of the CWIQ Platform
Central to the CWIQ platform is the CWIQ FS, a patented file system that provides enterprise-level high-performance computing (HPC) scalability and simplifies storage orchestration. It is designed primarily for systematic trading and data science applications. By effectively managing extensive datasets across various hybrid multi-cloud environments, the CWIQ FS ensures real-time updates of metadata. It seamlessly integrates with popular object stores such as S3, guaranteeing that firms have access to consistent and up-to-date views of their data, irrespective of location.
Addressing High Compute Costs
With a deep understanding of the challenges related to inefficient trading simulation and the consequent high compute bills, Code Willing has introduced the CWIQ Bench, a unique self-service cloud compute system aimed at capital market participants. This system is equipped with functionalities that allow users to regulate costs and manage budgets on a per-user basis. Quants are now able to efficiently find, evaluate, and select the best compute resources, including vCPUs, storage, and GPUs, optimizing their workloads and minimizing operational costs.
Advantages of the CWIQ Suite
Rob Martinez, the CRO of Code Willing, highlighted a significant aspect of the platform: offering 100% budget visibility. He stated, "The CWIQ Suite was designed to eliminate the confusion generated by unpredictable billing models while still delivering top-tier performance. By incorporating per-user cost controls, our platform allows teams to forecast their cloud usage accurately and avoid the surprise of unanticipated costs at month's end, giving them complete command over their expenditures down to the last cent."
Real-World Implementation
Paul White, CEO of Quantbot Technologies, expressed his views on the platform’s impact: "We have been utilizing Code Willing over a significant period and have witnessed substantial improvements in our global data and research efficiencies. More importantly, this platform has drastically lowered our data discovery and trialing costs. By harnessing the capabilities of the Code Willing platform, our data team has been repurposed to focus on data science and signals, leading to our current trial of approximately 150 datasets annually. This marked improvement has been transformative for our operations."
About Code Willing, Inc.
Code Willing, Inc. is committed to providing a comprehensive quant solution that empowers hedge funds to capture alpha and drive results through sophisticated data management and compute optimization strategies. The CWIQ platform stands as a testament to this commitment and is available for further exploration and demonstration.
Frequently Asked Questions
What is the CWIQ platform?
The CWIQ platform is an advanced solution by Code Willing designed to streamline data analysis and optimize computing resources for hedge funds.
How does the CWIQ FS enhance performance?
The CWIQ FS offers enterprise-level HPC scalability, facilitating smooth data management across hybrid multi-cloud environments for real-time metadata updates.
What is the benefit of CWIQ Bench?
CWIQ Bench allows users to control costs with budgeting features while enabling efficient resource selection for compute tasks.
What did Rob Martinez mention about budget control?
Rob Martinez emphasized that the platform ensures total visibility of costs, helping teams avoid unexpected bills and better manage cloud spending.
How has Quantbot Technologies benefited?
Quantbot Technologies has improved data efficiency and reduced costs significantly by utilizing the Code Willing platform, enabling more focus on data science and signals.
