This quote has always hit home for me. Whether it is to make sense of events happening presently, to what registers when I think about how my past has shaped my present, Apple’s iconic founder was definitely on to something magical when he uttered those words 16 years ago.
In Japan, the 5th most common surname is Watanabe, making up approximately 1% of all Japanese surnames. However, the term “Mrs. Watanabe” doesn’t denote a specific person. Instead, it refers to a generic, collective make-up of Japanese housewives who take control of their family finances and brazenly seek out lucrative investing opportunities, most commonly in the form of foreign exchange trading. Specifically, Mrs. Watanabe is known to strike in moments of sheer necessity when ordinary investments fail to live up to her expectations for her family, and her male counterpart cannot pick up the slack.
Ask any serious trader how she/he measures the effectiveness of any trading strategy, and you're bound to get the names of two popular ratios thrown your way: the Sharpe Ratio and the Sortino Ratio. While the Sharpe Ratio is undoubtedly the more popular among the two, the question still remains: which ratio actually does a better job at comparing risk-adjusted portfolio returns?
Many of us are used to actively using Google Sheets to accomplish our spreadsheet data manipulation needs. For me, I tend to store most of my spreadsheets in the Sheets format, and only really use Excel for heavy duty work, usually associated with intensive processor driven back-testing. I was pleasantly surprised to discover that using nothing but Google Sheets, you can easily retrieve historical and real-time stock prices for all listed NSE equities. Here's how to do just that.
Just around two years ago, I stepped down from a company I co-founded (a stock brokerage called Upstox) in order to start RAIN, an AI-powered hedge fund in India. The stark difference between the two types of companies may not seem obvious at first, especially since they both fall in the general "fin-tech" category. Both companies also heavily rely upon technology-driven solutions to provide their users and clients the type of experience they deserve.
Something interesting occurred last week in the world of derivatives trading. The world's powerhouse exchange in derivatives trading activity had been the Chicago Mercantile Exchange (CME), but that suddenly changed when the baton was passed on to the National Stock Exchange of India (NSE) and the NSE overtook the CME as the world’s largest derivatives exchange by volume.
I have been trading exclusively with proprietary, automated trading strategies since 2006. My introduction to algorithmic trading was in 2005 during my sophomore year at the University of Illinois, Urbana-Champaign (UIUC), where as an uninspired 19-year-old, I was seriously starting to question the merits of my decision to pursue a career in Actuarial Science. I had no interest in becoming an actuary, but didn't know what else I should be doing. My 2.5 GPA at the time did not help matters, either.
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