The above animation shows how far "out the curve" the options contracts are being traded. Notice how some contracts trade further into the future than others. The different trading windows give an idea into how a person may build their trading strategy, as well as the general time scales involved with different markets. It is commonplace to use algorithms to study futures and options data in order to gain certain insights for trading. This is especially useful for huge volumes of data that are just not feasible for humans to analyze. While beneficial, not all algorithmic trading is equal. Some models are better than others, for instance, when quantifying the attitude of investors in a market—known as market sentiment. There is almost always more than one school of thought by investors toward a given market, especially leading up to big events with uncertain outcomes. Conventional approaches may not take multiple schools of thought into account, missing out on the whole story. One tool, the CME Market Sentiment Meter (MSM), is able to capture multiple schools of thought and market sentiment states that are rare or short-lived, yet highly important to recognize. Overall, this can potentially result in making more money in a systematic way from algorithmic trading. To learn more about the MSM, reach out to an expert at firstname.lastname@example.org, and visit here.Futures and options data can provide insight into where traders think the price is heading better than simply looking at spot price and volume data.
The Importance of Investing in People
Karen Scanlan is the Director of People Operations at 1QBit. While working as an editor for a legal publication, she became interested in the employment side of human rights, which led her to an HR consulting firm. There, she learned the importance of hiring the best talent and then keeping that talent through engagement, development, and recognition.