Why current way of searching stocks is inefficient

If you've ever tried searching for stocks on Google, you might have faced following problems:

• Biased information from news outlets.
• Repeating stock recommendations on multiple news websites and social media.
• Recommended stocks have a huge market capitalization with unrealistic expectations from investors.

Take a look at the following example from a popular website:

This is just one of many examples of websites that exploit the latest interest in the newest stocks. Many other recommendations on the internet, provided by reputable sources, do the exact same thing. Once people start to get excited about stocks, these sources begin publishing articles about how great the buying opportunity for that particular stock is, which in turn drives more investors to buy it.

But the question remains, how do you spot new investment opportunities when they are not being talked about in public?

Typically, you would do this by using Google and spending hours or even days researching different stocks to find one that meets your requirements.

But how about stock screeners?

Yes, they work like you expect them to when you know what you are looking for and can express your requirements with just numbers (e.g., automotive industry with a price below $5).

But what if you are looking for a stock that is not in the automotive industry, but rather in the electric vehicle industry, and you are looking for a company that is not well known yet?

That's where our tool comes into play.

We strive to optimize the process of finding new stocks and save you hours of your time.

By using our natural language search tool, you can find companies based not only on the industries they operate in but also on the products they produce and services they provide. This opens up a whole new way of finding stocks.

Try the search tool out by clicking on the button bellow and tell us how we can improve it in the future.