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DDIntel - Tech for Financial Decision Making

DDIntel - Tech for Financial Decision Making
By DataDrivenInvestor • Issue #51 • View online

People who own the best tech and think the hardest on problems, see the furthest, and rule the world.
This is true for countries as well as for businesses and individuals. Whether you are a businessman, a government official, or an individual investor, keeping yourself updated on what is available in terms of technology, data, and best practices, will allow you to rise above your competition and reap maximal efficiency in getting things done.
In this week’s DDIntel, we cover the intersection of technology and finance. We look at how you can up your investment game using the latest tools and technologies. We also cover important moves in the tech financial sector and how to best understand financial technologies such as crypto.
Spotlight: The Big Tech War
The Big Tech War and how you will win | by Devansh- Machine Learning Made Simple | Sep, 2022 | DataDrivenInvestor
The tech industry is inherently competitive. In the recent past, various companies had the potential to rule the tech world if they made the right decisions. One such example is Xerox, which had the potential to dominate the personal computer industry. Steve Jobs witnessed the first graphical computer interface in his life at Xerox. He was addicted to it and believed that it was the future of computers and that one day, everyone would own a personal computer. The management of Xerox, however, didn’t think the same, as they were only interested in increasing their market share rather than developing new, great products for the future.
Any companies that refuse to evolve and adapt to the future will fail. Xerox could have ruled the personal computer industry and even the Internet, as it was also putting in enormous work at PARC (Palo Alto Research Center) in 1970, which was founded by them. You now know Xerox for lame printers that are used to pour ink on paper, while Steve Jobs created a personal computer revolution, and the Internet completely changed the world we live in. The lack of vision in their company led them to miss leading a trillion-dollar industry.
The companies that capitalized on the future and seized opportunities are now known as “The Big 4,” and they rule the technology sector. Apple, Google, Amazon, and Microsoft are now collectively worth more than $4 trillions, and they are constantly acquiring new technology startups to integrate into their ever-expanding empires. These four companies alone control the majority of the world’s technology, and they are adamant about keeping it that way. There is currently a tech war between the four, and it will continue in the future as they all compete to increase their influence and expertise.
The big question is how you can win from their war. Is there a way to capitalize on the ongoing economic conflict between these behemoth corporations? And can you make money doing this? The answer is a resounding “Yes!”. This week’s spotlight article will explain exactly how you can profit from their war.
Web Scraping to Predict Retail Performance
Web Scraping to Predict Competitor Performance in Retail | DataDrivenInvestor
Predicting the trajectory of a company or its stock should be getting a bit easier with data-driven applications. You can either adapt to the future and emerge victorious, or you can stay in your comfort zone and fall behind. If you are an investor interested in researching on retail companies, you should use as much relevant data about companies as possible. You can then use it to direct your decisions toward the most profitable deals or to better understand your competition. This article will provide an overview of using web scraping to forecast competitor performance in the retail sector.
AI for Value Investing
How to Utilize AI and Programming for Value Investing with Python
Choosing the best company to invest in takes time. You must research the annual reports of the companies and keep up to date on any developments that have occurred recently as well as those that are likely to occur. You must also stay in touch with the economic area you are targeting in order to fully understand the trends and future prospects. While some people enjoy reading and researching, others may not have the time to do so due to full-time jobs and/or families. That’s where AI and coding come in. All of that reading can be summarized for you using the most recent natural language processing AI algorithms, allowing you to gain insights without wasting time.
From Data Scientist to Financial Engineer
Career Switch: How to Become a Financial Engineer as a Data Scientist
In today’s data-driven world, machine learning engineers and data scientists are in high demand. However, there is one position that is even more sought after as it requires the dual understanding of a data scientist and that of a financial analyst. Individuals who are gifted at both can earn a lot of money and hold positions of power in corporations or even governments. You can also become a financial engineer if you have a knack for finance and enjoy machine learning and data science. This will pave the way for you to work for the world’s most prestigious financial institutions. This excellent article explains everything about leveling up your career from data scientist to financial engineer.
Why Intel Stock is a Must Buy
Why Intel Stock is a must buy. Intel appears to have been beaten to a… | by Stefan Pircalabu | Sep, 2022 | DataDrivenInvestor
Intel has had a bad 2022, as the stock has dropped to new lows of $26; for comparison, the last time their stock was this low was in 2014. This is primarily because they hired a new CEO with the goal of returning Intel to the forefront of the technology sector. This can only be accomplished through massive investment and the sacrifice of short-term market share for long-term success. Intel, at the heart of Silicon Valley, was perhaps the most important company in bringing about the digital revolution we are now undergoing. Intel is waking up from its long slumber and refocusing on what made them great in the first place: technology and innovation. This article will demonstrate why Intel is an excellent long-term investment and why it will triumph in the long run.
Cryptocurrencies & the Dot-Com Bubble
Cryptocurrencies & the Dot-Com Bubble: Two Sides of the Same Coin? | by Zane Fleming | Sep, 2022 | DataDrivenInvestor
The Dot-Com bubble was possibly the most productive of all. It gave us the world’s greatest web companies, including Google, Facebook, Microsoft, and many others. However, it is important to remember that a lot of money was also squandered during that time period on ideas that had little to no chance of success. In reality, much more money was poured into useless companies with no expertise or vision simply because they claimed to be internet companies. Today, you can see the same thing happening with Crypto and Web3, where many people are simply using the buzzword “crypto company” to attract investments when, in reality, they are just another useless crypto scam. Discover the similarities between the Dot-Com and Cryptop bubbles, as well as the lessons they teach us, in this excellent article!
Tech and Crypto Valuations: How Similar?
How Are Technology and Crypto Valuation Correlated? | by Sarath CP | Sep, 2022 | DataDrivenInvestor
Understanding company valuations can greatly improve your decision-making process when looking to invest in something. To determine whether a company is undervalued or overvalued, several factors must be considered, including market size, growth, and future, emerging trends in that industry. When it comes to blockchain, this may be a little trickier, as there are many more factors to consider in order to invest in the few winning technologies available, rather than the many losers or scam cryptos that are constantly emerging. This article will teach you how to do so, as well as how to evaluate the cryptocurrency you’ve chosen before putting your money at risk.
Creating a Momentum Trading Scanner
Creating a Momentum Trading Scanner with Dynamic Time Warping | by Danny Groves | Sep, 2022 | DataDrivenInvestor
Time is the most important currency for all humans, whether they realize it or not. In some cases, time can mean the difference between making a lot of money and losing a lot of money. This is especially true when it comes to stock market signal analysis, which involves looking for patterns in a stock’s candlestick chart to determine when there is a buying opportunity. A human trader, on the other hand, can only follow so many stocks and be efficient at it because it is a time-consuming and eye-damaging endeavor. The solution to this problem is to automate the process by developing a momentum trading scanner, which is exactly what you will learn to do in this article.
Evaluate Stocks using Python & Pandas
4 Financial Metrics Used to Evaluate Stocks using Python & Pandas | by Almas Myrzatay | Sep, 2022 | DataDrivenInvestor
When deciding when, where, and how much to invest, the best investors use all of the tools at their disposal. In today’s world, the most successful investment firms have a plethora of data analysis tools, most of which are based on machine learning algorithms. As an individual investor, you should learn from them and begin adding as many AI tools to your toolbox as possible. This will help you maximize your monthly profit and protect you from making bad investments that could bankrupt you. This article will give you an overview of how to build a basic AI tool to help you evaluate stock metrics, as well as the code needed to do so.
Learn Web Scraping With Python
Learn Web Scraping With Python! | DataDrivenInvestor
“Data is the new gold,” as the saying goes these days. It may have gotten old, but that doesn’t make it any less true. And, if data is gold, then the people who mine it are gold diggers. Every good gold digger or data digger has some reliable tools around him that he can use to speed up the extraction process. Web scraping is one of those tools for data diggers. The best way to collect data with web scraping bots is to use Python, the most powerful programming language of all time. You have a plethora of fantastic libraries just waiting to be used in your quest to mine data from the internet. This article will teach you how to dig for data using a web scraping bot that you can build in Python.
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