People say that you’re always smarter with the benefit of hindsight; of course, this also applies to stock market trading. Based on the ups and downs in the historical performance of a stock, it seems as clear as the light of day when an investor should have bought or sold stocks in order to leverage upswings and reap huge profits.
It goes without saying that it is infinitely more difficult to speculate successfully with stocks whose price development is still unknown. Chemistry wizard Niels Bohr once quipped that forecasts are generally difficult, especially those concerning the future.
Random Fools
I recently stumbled across a book titled Fooled by Randomness [1] and read about a theory stating that most successful stock market speculators were simply lucky. This may sound unlikely to the average person, but it does seem plausible given the tiny proportion of successful speculators. Be that as it may, one section of the book made me sit up and take notice. In this section, author Nassim Nicholas Taleb mentions that he had commissioned a software company to write a “backtester,” a program that is familiar with the historical price data of interesting stocks and that checks trading strategies packaged into algorithms to see whether the strategies would have succeeded in a historical context.
How difficult could it be to write something like this in Go? For some sample data, I’ll take the price performance of Netflix stock (NASDAQ: NFLX) over the past two years (Figure 1). After a huge price slump from $600 (January 2022) to $180 (April 2022), Netflix stock slowly came back and as of recently has fully recovered.
Strategy or Random Walk
هذه القصة مأخوذة من طبعة #285/August 2024: Kernel Exploits من Linux Magazine.
ابدأ النسخة التجريبية المجانية من Magzter GOLD لمدة 7 أيام للوصول إلى آلاف القصص المتميزة المنسقة وأكثر من 9,000 مجلة وصحيفة.
بالفعل مشترك ? تسجيل الدخول
هذه القصة مأخوذة من طبعة #285/August 2024: Kernel Exploits من Linux Magazine.
ابدأ النسخة التجريبية المجانية من Magzter GOLD لمدة 7 أيام للوصول إلى آلاف القصص المتميزة المنسقة وأكثر من 9,000 مجلة وصحيفة.
بالفعل مشترك? تسجيل الدخول
Tracking your finances with plain text accounting Plain Numbers
If you're tired of tinkering with spreadsheets, using hledger and plain text accounting offers a simpler method for managing your finances without vendor lock-in
Dependency resolution with apt-get and apt Evolutionary Tale
Over the past 30 years, the apt family has played an important role in dependency resolution for Debian distros.
Cryptomining with Litecoin Traveling Lite
Although not as popular as headliners like Bitcoin and Ethereum, Litecoin is one of the oldest crytocurrencies, and it offers some useful features, such as dual-mining with Dogecoin.
Software Update SnoopGod
SnoopGod delivers an Ubuntu-based pentesting distribution with an emphasis on security education.
Kernel Trouble
This deep look at how intruders attack an out-of-date kernel should be enough to convince you of the need to stay vigilant.
Using Wake-on-LAN for a NAS backup Power Saver
Put your backup server to sleep when you don't need it and then wake it on demand using the Wake-on-LAN feature built into network adapters.
Time Travel
Mike Schilli uses a Go program to check whether a strategy for trading stocks is making gains or losses on the basis of historical price data.
URL filtering with Pi-hole Into the Funnel
Supporting browser plug-ins, network-based DNS blockers like Pi-hole help protect you against online tracking and unwanted content.
Artificial intelligence on the Raspberry Pi Learning Experience
You don't need a powerful computer system to use Al. We show what it takes to benefit from Al on the Raspberry Pi and what tasks the small computer can handle.
MakerSpace Manage your greenhouse with a Raspberry Pi Pico W Sheltered Growth
You can safely assign some greenhouse tasks to a Raspberry Pi Pico W, such as controlling ventilation, automating a heater, and opening and closing windows.