Take Control Of Your Data With The Code Willing Platform

Code Willing Alternative Data Management Solutions

Researchers should be able to focus on research, not on managing data.

Utilizing cloud services to manage and process time series data is rapidly becoming the go-to data solution. This is not surprising given the cost savings and processing power available in cloud-based platforms. 

Code Willing is an independent global provider of quantitative research and trading software specializing in cloud-based technology. We provide data management services to handle ingesting, cross referencing, cleaning and storing data. We pride ourselves on building efficient, clean and complete data solutions that allow our clients to focus on research.

Code Willing makes data easy and usable. 

By leveraging the Code Willing platform, processing raw vendor data into a clean, readily accessible and usable format is made easy allowing research staff to focus on the core of their business. These robust services include: cross referencing, data quality and scalable storage.

Aligning time-series data from different sources is a significant challenge. Cross-referencing independent vendor data sets and keeping them all in time synchronous order can be even more of a challenge. We accomplish this by assigning a unique identifier to all listings. This identifier, known as the “Code Willing Stable ID” or SID, is used to track specific assets through time and across multiple data sets. Additionally, we manage daily processing jobs in a very controlled and batch-oriented manner using Code Willing’s proprietary job scheduler HAL. HAL handles job dependencies, market schedules, time zone conversions and provides an extremely formattable alerting system to notify operation teams of all on-going processes.  

Learn more about Data Processing and HAL Scheduler.

Data Quality is an integral part of the Code Willing suite. Anomalies in data behavior can be difficult to detect and can be very frustrating throughout the research process. We approach data quality using a two-phased approach. Our rules-based algorithms check against vendor supplied documentation to ensure correct formatting and overall content while our machine-learning/pattern-recognition processes can find deeper, more embedded anomalies. We are making great strides towards even more robust machine learning techniques. In general, our data quality processing detects outliers regardless of formatting and changes as it  automatically re-trains over time. By applying both a rules-based and an algorithmic approach to spot anomalies, the data quality program ensures that the data is clean and lowers the error rate as part of our daily data pipeline.

Learn more about Data Quality.

Content Addressable Storage (CAS) is a flexible platform for optimized content storage with customizable, role-based permissions. CAS stores the data securely in your data center or in the cloud so that it is readily accessible and it features a single, consolidated interface to all files, regardless of their physical location. The CAS platform works for anyone who requires local or cloud-based storage of large numbers of files and the ability to configure fine-grained permissions for access to those files. 

Learn more about Content Addressable Storage.

High-performance data access and data processing are core aspects of the Code Willing platform. Through these services, research staff can focus on research and investments without having to worry about routine data management. 

Learn more about our Data Management Services.

Code Willing is named one of CIO Review’s 50 Most Promising FinTech Solution Providers

The breadth and depth of data available for financial research is growing at a rapid pace. What used to be daily price and volume data sets has now grown to become order by order streaming data feeds, unstructured social media data, even geospatial imagery. Data issues like tracking assets through time sound like simple problems but are actually quite difficult challenges.

Even with large and well-known data vendors, financial organizations often find themselves straddled with significant data quality issues. As Baron K. Davis, CEO, Code Willing asserts, “Rather than using a large player that taps into multiple verticals, we think it’s better to hire a firm that understands the data specific to the finance industry. This goes a long way in processing financial data quickly and efficiently.” Code Willing, a financial technology startup, converts this idea into actionable insights for its clients. In addition, Code Willing provides data pipeline and management services to the financial industry.


We are familiar with a broad set of financial data sets, and that experience helps us quickly onboard new data from new, emerging data vendors. We understand difficult data issues facing our clients such as data quality and provide them with appropriate data management services at an affordable price,” states Davis.

Read the entire article as shown in CIO Review.

 

MIT Students Leverage Code Willing Technology for Quantitative Finance Research Project

MIT utilizes Code Willing for Research

Code Willing is working with the academic sector to advance research in the field of Quantitative Finance.

Quantbot Technologies LP, a global quantitative hedge fund and Code Willing client, is constantly looking for new research opportunities and partnerships but is often restricted due to the highly proprietary nature of their work. With Code Willing managing the Quantbot data and cloud infrastructure, it enables Quantbot to engage external research teams via consulting arrangements. Through the use of the Code Willing technology suite, Quantbot can provide tightly controlled access to clean data and the virtually unlimited resources of cloud computing infrastructure.

Recently, Quantbot worked with several student groups participating in a month-long MIT Sloan 2019 Finance Research Practicum course. The students performed real research for Quantbot in a secure environment running on Amazon AWS with strictly controlled access to the clean datasets they needed.


Without the Code Willing platform there’s really no way we would have been able to host these projects. Now we have the ability to run almost limitless amounts of additional research projects with no risk of impact to our internal systems.”

– Paul White, President and CTO of Quantbot

 

Hugh Alexander Joins Code Willing as Chief Technology Officer

Hugh Alexander is CTO of Code Willing.

Code Willing, an independent global provider of quantitative research and trading solutions, has announced that Hugh Alexander has joined the company as Chief Technology Officer (CTO). Hugh will draw upon his extensive expertise in the financial information and technology industry to drive the continued global growth of Code Willing.

Hugh brings a wealth of knowledge about designing stable, cost effective infrastructures for efficiently managing the raw materials that quantitative research and trading requires.


Hugh Alexander’s experience and background leading teams of quantitative researchers and traders will ensure that Code Willing continues to lead the market in developing quantitative tools that improve decision-making, analytics and trading decisions of our customers.”

– Baron Davis, CEO Code Willing


Hugh has been successfully building quantitative trading tools and platforms since 2004, where he served as Managing Director and Chief Operations Officer for a very successful quantitative trading desk at one of Wall Street’s largest banks. Hired in 1996, his prior roles were as VP/ED in the technology organization leading their time series engineering and real time market data development teams.  

Hugh commented, “It’s an exciting time for financial data analysis that can take advantage of the almost infinite scale of cloud hosted processing and storage. Code Willing has a very unique product suite that is tailored for the quantitative trading team enabling them to focus on what they want to: Quantitative Research and Trading. Code Willing’s technology is an essential foundation for successful trading decisions driven by quantitative methods. I am thrilled to be able to lead the technology talent at Code Willing and guide the continued development of their platform into a world class product.”