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摘要: NEW YORK, NY –The Goldman Sachs Group, Inc. (NYSE: GS) announced new business segments for the reporting of its financial results, beginning with its 2019 fourth quarter and annual results to be announced Wednesday, January 15. The business segments are: Investment Banking, Global Markets, Asset Management and Consumer & Wealth Management.

摘要: “This one time, at band camp…” Everyone knows that you do embarrassing things at “band camp” so the analogy seems fitting. A long time ago, I did something really dumb with my options trading, and I lost a significant amount of money because of it. In this article, I am going to share with you my story along with the lessons to be learned so that you can avoid unnecessary pain and loss in your own trading. The article includes real numbers and calculations because you have to be able to understand and calculate your costs and gains if you want to be a successful options trader. After the wonky stuff, I include some advice for how to avoid making the type of mistake that I did, as well as some advice on how to approach mistakes that inevitably happen anyway.

摘要: Given the commodification and decline of high frequency trading, I was a bit surprised to see that Michael Lewis wrote a book on the topic. Not only that, but based on the reviews (I haven't read the actual book), it sounds like a scary "tell-all" book revealing how HFT rips off "the little guy".

摘要: The Taiwan Futures Exchange (TAIFEX) and Taiwan Index Plus Corporation (“TIP”), a wholly-owned subsidiary of Taiwan Stock Exchange (“TWSE”), will jointly launch Taiwan Strategic Indices, composed of securities with cross-asset classes listed on the Taiwan’s financial market.

摘要: What is sauce for the goose is sauce for the gander when it comes to implementing artificial intelligence in the capital markets industry insiders testified before the House Financial Services Committee’s Taskforce on Artificial Intelligence.

摘要: Right around the time you get your first basic regression or classification model going, it will at least cross your mind. The vast piles of time series data, coupled with the possibility of retiring young has the irresistible pull of finding an old treasure map in your grandfather’s attic. How can you NOT think about it? Can you use machine learning to predict the market?

摘要: The short answer to this question is: It depends! The longer answer is different for different investors and trading signals. That, in turn, means issues like long queues, invested venues and speed bumps matter more (or less) depending on how you need to trade.

摘要: Regulators are pushing brokers to disclose more information about how and why they route equity trades. Some industry practitioners want to go a step further.