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Natalie Kaminski
Natalie Kaminski
longreads /

What Higher Interest Rates And Inflation Mean For Startups

The 2010’s were an incredible decade for tech startups. Interest rates and inflation were at or near historic lows, making it easy to allocate capital for all kinds of projects. Investors were willing to bet on all kinds of creative and risky endeavors, and founders had greater opportunity to pursue their dreams.

As is always the case, few startups turned into long-term success stories. But because of easy money, many projects got off the ground that wouldn’t have otherwise.
Andrew Parshukov
Andrew Parshukov
longreads /

A Non-Technical Founder's Guide to Building a Tech Startup: From Idea to Development

Thirty years ago, the landscape of tech startups was a different realm, where a strong technical background was not just an advantage, it was a necessity. Building a software application or platform was a complex endeavor, often out of reach for non-technical founders.

But the 90s are gone, taking clunky tech and convoluted development processes with them. Today, anyone with a good idea can overcome technical barriers, decode tech jargon, and build a successful tech startup, regardless of their background. 

More effective development patterns, versatile funding options, and better infrastructure have all made it easier for non-tech founders to get into the startup game. But it is still important to bridge the gap between non-tech founders and the tech experts whom they work with. 
Natalie Kaminski
Natalie Kaminski
longreads /

Optimizing Your Website For Voice Search

Since Siri debuted on iOS in 2010, we’ve seen a slew of other voice-driven AI assistants. Alexa, Google Assistant, and Cortana have become household names.

At the same time, smart speakers have become ubiquitous in households and workplaces, making voice-driven computer human interaction commonplace. The result is that over 40% of people in the US now use voice search at least once per day, and that number is only likely to rise.
Alexey Chernysh
Alexey Chernysh
longreads /

Technical Aspects of Algorithmic Trading. Part #2

In the previous article, we discussed some key concepts, such as different markets and their characteristics, trading software, and chart visualizations of the market. 

In this article, I would like to dive a little more into the technical aspects of algo trading and discuss the usage of public APIs.

Generally speaking, one could have only two ways of interacting with trading software: manual or automatic.

Manual ways include:
  • Web interface
  • Mobile application
  • Phone calls to your broker representative (it is still possible for stock markets, yes)

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