What's in the session?

In this webinar, Peter Simpson, OneTick Product Owner, and Alexander Serechenko, LLM Team Lead, discuss how OneTick APIs utilize AI to enhance customer experience with concise, actionable answers and appropriate code samples upon request.

This session is designed for financial professionals who are interested in learning about modern search technologies and their practical implementations, exemplified with our onetick-py documentation.

Topics Include:

• Limitations of The Alternative (Keyword-Based Search): Challenges with exact word matching and handling complex queries
• Advantages of Vector-Based Search: Improved accuracy through contextual understanding and semantic relationships
• Experimental Comparisons: Performance metrics demonstrating vector search's superiority over traditional methods
• Real-World Applications: Implementing vector search in documentation systems and other practical scenarios
• LLM-Generated Answer Integration: Exploring the use of large language models to generate concise, actionable answers.
• Optimization through RAG: Enhancing LLMs through Retrieval Augmented Generation
• Implementation Trade-Offs: Speed vs. Accuracy vs. Cost

OneTick provides a trusted market data platform, both on-demand in the Cloud and deployed, for real time, intra-day and historical analysis. Access to data can be provided by file, and via API across SQL, REST, and Python, with emphasis on executing analytics on cloud data.

The OneTick APIs are designed to support trading analytics use cases such as market structure and transaction cost analysis. With our recent enhancements, our ability to meet customer demands skyrockets, allowing you to instantly get the concise, actionable answers and appropriate code samples you need.

In this webinar, we walk through how to ask these natural language questions to our API documentation, what the answers look like, and how it is implemented.

About Our Speakers

Peter Simpson | OneTick Product Owner

Peter is an experienced Analytics Product Manager, with a history of working in and with the world’s biggest banks, brokers, fund managers and exchanges in London & New York. He provides tick database analytics consulting to financial customers including Exchange Surveillance Order Book Analysis and Market Participant Quality Statistics, Broker Surveillance Order Book Analysis, Tick Database Analytics Training, and Data Quality Analysis. 

Alexander Serechenko | Senior Python Developer and LLM Team Lead at OneMarketData

Alexander Serechenko is a Senior Python Developer specializing in AI-driven solutions for time-series data analytics. With an expertise in machine learning, MLOps, and natural language processing, he leads the development of AI-powered search and automation tools. He holds a Master's degree in cryptography and information security from the National Research Nuclear University MEPhI.