By Irene Aldridge Once you add Neural Networks to your existing analytical toolset, you can benefit from detecting patterns in data that cannot be captured otherwise. This article shows, with IBM as an example, how using Neural Networks unlocks statistical insight, you could not have achieved without it. Technical analysis is a discipline that has managed to survive it all over more than 100 years. Starting from the 1920s, and possibly even earlier, technical analysts persevered at distilling meaning from patterns in the data. Numerous generations of quants declared technical analysis to be dead, only to resurrect it in various Auto-Regressive Moving Average (ARMA) specifications.
Irene Aldridge, a co-author of the forthcoming book “Big Data Science in Finance” has launched her very own YouTube channel where she discusses her latest research in the areas of Big Data, Artificial Intelligence and Finance. Please subscribe here to receive updates: https://studio.youtube.com/channel/UCMYuhgyMhzkw5tBIyEa2p3g Aldridge has a seasoned portfolio of TV appearances, including CNBC, CNN, and even Comedy Central. Aldridge is looking to make her research more accessible through video clips and offerings. Please share with your colleagues and friends!
By Irene Aldridge S&P Global just announced acquisition of IHS Markit for a whopping US $44 billion, the largest acquisition in the financial data industry to date. The amount reflects the current reality on Wall Street: premium data brings on premium revenues and valuations follow. IHS Markit’s flagship offerings, like the ISM Manufacturing Index, has long been a beacon to selected hedge funds, who paid a fair share of their investors’ earnings for the opportunity to squeeze an extra edge out of the data. As shown in our book, “Real-Time Risk: What Investors Should Know About Fintech, Flash Crashes and High-Frequency Trading”, in many cases
By Irene Aldridge, co-author of “Big Data Science in Finance” (Wiley, 2020) The NYPost reported on November 5, 2020, just two days after the still-inconclusive U.S. Presidential Election, that “Bitcoin rallies past $15,000 for the first time since January 2018”. Bitcoin is just one of now many cryptocurrencies, “crypto” for short. Other cryptocurrencies, like Ethereum, XRP, Chainlink, and many others are surging as well, offering investors an opportunity for unparalleled returns. The surge in may seem random to some, but it also may have very strong fundamentals rooted in the current political landscape. This article makes a case for Crypto becoming a stronger performer in
In the next five years, big data analysis is poised to become one of the most important and competitive skill sets around. Portfolio analysis in particular is where pension funds are focusing their big data investments. Big data is a set of techniques embedded in the latest, most sophisticated technologies: social media analytics, digital video recognition, 5G cellular technology and much more. The capabilities of big data are incredibly powerful and extend far beyond traditional systems. Supported as a spying technology in the World War II and later, the Cold War, core big data techniques were developed in the 1940s, 1960s and 1980s and are
By Irene Aldridge The history of Finance is full of Mathematical and technological revolutions. With the expansion of computer technology, mathematical innovations are not only abstractly interesting, but also very fast and profitable. Most recently, mathematical innovations in Finance first generated opportunities in quant techniques that were followed by the revolution of high-frequency trading, Now, the opportunity expands as Big Data techniques are implemented within Finance. Many people are still puzzled by what is so special about Big Data. After all, Econometrics and other data processing tools have been used in Finance for decades. It is true that Econometrics comprises a part of Big Data