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Stock Market

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  • 3 min

Financial Crisis: It’s A Game & We’re All Being Played

Barely three months into 2023 and we have seen a series of major banking crises unfold right before our eyes. Silicon Valley Bank collapsed, followed by Signature Bank and Credit Suisse is encountering turmoils that send panic across the market. All these on top of global economic crises, inflation, rising cost of living, major economies of the world facing strong headwinds, energy crisis, stock market instability, post-pandemic recovery, and the Ukraine War; we are indeed living in a time of polycrisis, chaos and panic. One thing that many people believe is that there is a financial crisis happening right now.…
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  • 8 min

Convert Your Raspberry Pi Into A Trading Bot With Pythonic

Reduce your power consumption by setting up your cryptocurrency trading bot on a Raspberry Pi. The current popularity of cryptocurrencies also includes trading in them. Last year, I wrote an article How to automate your cryptocurrency trades with Python which covered the setup of a trading bot based on the graphical programming framework Pythonic, which I developed in my leisure. At that time, you still needed a desktop system based on x86 to run Pythonic. In the meantime, I have reconsidered the concept (web-based GUI). Today, it is possible to run Pythonic on a Raspberry Pi, which mainly benefits the power consumption because…
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  • 2 min

Computers Manage More Stocks Than Humans Do

Computers completely overtook humans in terms of the proportion of stocks being managed. This is what is revealed by a recent study of The Economist.   35.1% of the US stock market is now being managed by algorithms. Meanwhile, 24.3% of the stock market is still being handled by humans. The remaining portion of the stock market are assets held by companies (15.3%) and other owners such as governments, insurance, and foreigners  (25.3%). In order to come up with these statistics, The Economist studied US$31 trillion worth of equities and checked which entity governs each portion. Understandable shift The stock…
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  • 5 min

Using Wall Street Secrets To Reduce The Cost Of Cloud Infrastructure

“Risk-aware” traffic engineering could help service providers such as Microsoft, Amazon, and Google better utilize network infrastructure. Stock market investors often rely on financial risk theories that help them maximize returns while minimizing financial loss due to market fluctuations. These theories help investors maintain a balanced portfolio to ensure they’ll never lose more money than they’re willing to part with at any given time. Inspired by those theories, MIT researchers in collaboration with Microsoft have developed a “risk-aware” mathematical model that could improve the performance of cloud-computing networks across the globe. Notably, cloud infrastructure is extremely expensive and consumes a…
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