SpiderRock Gateway Technologies Launches Innovative Options Dataset
SpiderRock Gateway Technologies Introduces a Game-Changing Dataset
SpiderRock Gateway Technologies, a renowned player in the realm of historical and live options data, has made a groundbreaking announcement with the unveiling of its newly developed Option Features Dataset. This innovative dataset is specifically designed to provide vital insights into market behavior by leveraging advanced metrics and analytics from the options market.
The Evolution of Stock Return Predictability
In recent times, stock return predictability has seen an evolution. As trading volumes, particularly in dark pools, increase, options trading remains predominantly conducted on exchanges, maintaining a consistent growth trajectory year after year. The options market, often influenced by skilled traders utilizing proprietary information, offers a unique advantage in forecasting that isn't always apparent in stock prices. This dynamic signals a significant shift, suggesting that option features may serve as superior predictors of stock returns.
Diving Deep into the Option Features Dataset
The Option Features Dataset from SpiderRock integrates essential underlying equity information with a variety of options data points. This includes key metrics such as volatility surfaces, implied volatility, liquidity measures, order flow imbalances, and more. By combining both intraday and end-of-day data, this dataset offers a comprehensive profile that equips professionals to make informed, data-driven decisions and advance their machine-learning models.
Product Overview
Key attributes of this dataset encompass earnings indicators for detecting trading days associated with earnings announcements, estimators for both retail and institutional flow, and various risk-neutral implied metrics, including skewness and kurtosis. Additionally, it incorporates behavioral trading metrics like speculative call volume and Put-Call ratios, and market regime measures, which consist of mean-reversion/trending indicators.
Applications and Usability
This dataset supports numerous analytical processes, including dynamic analysis, cluster analysis, and strategy development, enhancing alpha factor augmentation. Users can construct market sentiment indicators, predict both directional and implied moves, and analyze various flow types through metrics such as open interest and volume ratios, specifically segmented by expiry. For instance, professionals can utilize the VWKS to predict returns or combine it with earnings indicators for forecasting news flow, all while assessing implied skewness to gauge tail risks and anticipating future volatility with implied volatility data.
Target Audience for the Option Features Dataset
The newly launched dataset has been designed to be indispensable for both buy-side and sell-side professionals. They can seamlessly integrate options market data into their proprietary workflows, deploy overlay strategies, model forward volatility, and enhance risk models or macro-driven strategies. Remarkably, daily data starting from January 2014 is readily accessible through platforms like AWS S3 and Snowflake.
About SpiderRock Gateway Technologies
SpiderRock Gateway Technologies, operating under the umbrella of SpiderRock Technology Solutions, specializes in providing top-notch options trading solutions. It functions as an exchange-licensed redistributor of market data, delivering a rich offering of US stocks, options, and futures market data in both raw and normalized formats, alongside comprehensive historical data. Notably, SpiderRock's extensive historical datasets are refreshed daily from live market feeds, making them ideal for research, backtesting, and data-driven strategic decision-making.
Frequently Asked Questions
What is the Option Features Dataset?
The Option Features Dataset is a curated collection of data that provides insights into market behavior using options market metrics.
Who can benefit from the Option Features Dataset?
Both buy-side and sell-side professionals, as well as researchers, can leverage this dataset to enhance their trading strategies and decision-making processes.
What key features are included in the dataset?
Key features include earnings indicators, risk-neutral implied metrics, speculative volume metrics, and various market regime measures.
How can the dataset aid in trading strategy development?
The dataset supports the construction of market sentiment indicators and provides insights for predictive modeling, which can enhance trading strategies.
Where can I access the Option Features Dataset?
The dataset is available for daily access through platforms such as AWS S3 and Snowflake starting from January 2014.
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