QVeris Launches the Option Chain (T-Quote) Data Query Tool: A Complete Guide
In options trading and quantitative analysis, the option chain, also known as the T-quote view, is the core lens through which investors observe market sentiment and identify trading opportunities.
To help users access high-quality options data more efficiently and conveniently, we have developed a new Option Chain Data Query Tool.
Whether you focus on financial options, including ETFs and stock indexes, or commodity options, this tool provides fast and accurate data support.
Today, we will walk through the tool's key capabilities and how to use it.
Preface: Option Chains Are Essential for Reading the Market's Pulse
In options trading, volatility trading, and quantitative strategy backtesting, the option chain (Option Chain, also known as T-quote data）is the foundational data source for observing market sentiment, identifying arbitrage opportunities, and building volatility surfaces. It is more than a price table; it is a direct reflection of the market's expectations for future asset prices.
However, efficiently and accurately extracting structured option chain data from massive financial terminals has long been a pain point for many investment research teams and quants.
To solve this problem, we developed the Option Chain Data Query Tool by heavily encapsulating the underlying interfaces.
Core Highlights: Why Choose This Tool?
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🏠 Seamless Coverage Across Major Markets
The tool supports a wide range of options products on China's major exchanges, meeting cross-market research needs:
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Financial options: Shanghai Stock Exchange and Shenzhen Stock Exchange (ETF options), China Financial Futures Exchange (stock index options)
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Commodity options: Shanghai Futures Exchange, Dalian Commodity Exchange, Zhengzhou Commodity Exchange, Guangzhou Futures Exchange
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⚡ Flexible Query Dimensions
Move beyond rigid data exports with customizable multi-dimensional queries:
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By date range: Query not only the latest market data, but also specified historical periods (defaults to the current day).
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By expiration month: Query "all" contracts with one click, or precisely locate contracts for a specific delivery month.
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Custom data volume: Freely control the number of returned contracts (default: 50), making large-volume data needs easier to handle.
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📊 One-Click Switching Between Core and Full Data
For different use cases, the tool provides two data output modes:
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Core mode: Includes the 9 most commonly used core fields, such as close price, price change percentage, trading volume, open interest, underlying price, and remaining days. Responses are faster and more lightweight.
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All mode: Provides up to 23 detailed indicators, covering open, high, low, close, settlement price, intrinsic value, and more, supporting in-depth review and quantitative modeling.
Parameter Guide: How to Run an Accurate Query
Using this tool is simple. Enter a few key parameters to obtain customized data results.
The following table explains the parameters:
(Note: If the date parameters are left blank, the system will automatically retrieve the latest data for the current day in Beijing time.)
Practical Demo: Understand the Options Market with a Few Instructions
To give you a more intuitive sense of how convenient the tool is, we prepared a classic query scenario.
Scenario: Query Core Data for SSE 50ETF Options
Requirement: Query the option chain data for SSE 50ETF (510050) on April 15, 2026, to observe changes in open interest and trading volume for major contracts.
Input parameters:
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Exchange: Shanghai Stock Exchange
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Underlying name: 50ETF(510050)
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Underlying code: 510050.SH
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Start date: 20250313
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End date: 20250413
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Field mode: core (default)
👇 【Sample Run Result】 👇
Conclusion and Outlook
The options market changes rapidly, and a stable, efficient data handle is critical to gaining an edge. By heavily encapsulating the underlying interfaces, our Option Chain Data Query Tool shields you from cumbersome request construction and field parsing, allowing you to focus more of your energy on the trading strategy itself.
If you have additional customization needs in macroeconomic data analysis or quantitative tool development, feel free to leave us a message in the backend.
[Tap the share button in the lower-right corner at the end of the article] and recommend this useful tool to your trading partners. 📈