Product Overview of OneMarketData’s OneTick
OneMarketData’s OneTick is a comprehensive and robust suite of software solutions designed to address the sophisticated data management and analytical needs of the financial industry. Here is a detailed overview of what the product does and its key features and functionality.
What OneTick Does
OneTick is an enterprise-wide solution for time-series data management, real-time event processing, and advanced analytics. It is tailored for equity, futures, and options proprietary traders, hedge funds, asset managers, and investment banks. The platform is built by Wall Street experts to support a wide range of use cases, including quantitative research, transaction cost analysis, market surveillance, and backtesting of trading strategies.
Key Features and Functionality
Data Management
- OneTick offers a unified, multi-asset class platform with a proprietary time series database. This allows for the collection, storage, and management of vast amounts of market data, including trades, quotes, minute bars, and daily OHLCV (Open, High, Low, Close, Volume) data from over 200 exchanges.
High Performance and Scalability
- The platform is designed for high performance with no limitations on data volumes, peak rates, or the length of stored history. It is highly scalable, enabling users to utilize any number of collectors on any number of nodes and access extensive storage from the query engines (tick servers).
Analytical Tools
- OneTick includes powerful analytical tools for historical simulations, backtesting, and developing trading and market-making strategies. It supports the construction of custom strategy analytics, simulated order flow, and PnL (Profit and Loss) statistics.
Real-Time Event Processing and Alerts
- The platform offers real-time event processing capabilities, allowing for the configuration of real-time alerts on various conditions. These alerts can be integrated into an existing alert management workflow dashboard for review, assignment, and action.
Development and Querying
- OneTick provides a Python Query API, enabling developers to build and run queries directly in Python using all OneTick analytical functions. This facilitates seamless integration with other tools and allows quants to write and run their own analytics using a pandas-like API.
Visual Dashboard Designer
- The platform includes a Visual Dashboard Designer that allows users to build new dashboards for visualizing query results in both historical and real-time complex event processing (CEP) modes. These dashboards can also serve as control interfaces.
Machine Learning and Data Science
- OneTick’s Market Data Research Environment (MDRE) includes an MLOps infrastructure and a data science framework. This enables users to leverage machine learning for creating and managing models based on market data, with features such as simple pipeline creation, data pre-processing, feature selection, experiment tracking, model comparison, and model serving.
Regulatory Compliance and Surveillance
- OneTick is equipped with tools to support regulatory compliance requirements, including market surveillance. It has been selected by the UK Financial Conduct Authority (FCA) for a cloud-based market surveillance system to detect market anomalies, market manipulation, and insider dealing.
Additional Benefits
- Lower Total Cost of Ownership: OneTick’s architecture helps reduce the total cost of ownership by streamlining data management and analytical processes.
- Extensive Historical Data: Users can access more than ten years of historical data, including level one and full depth of book, along with reference data, corporate actions, earnings, and event dates.
- User-Friendly Interface: The platform is designed for interface usability, with administration tools and authentication and entitlements to ensure secure and efficient use.
In summary, OneTick by OneMarketData is a powerful, scalable, and highly performant platform that addresses the complex data management and analytical needs of financial institutions, enabling them to enhance their quantitative research, transaction cost analysis, surveillance, and backtesting capabilities.