Tykr is a stock screener and education platform all-in-one. It guides you throughout your entire investing journey and helps you reduce risk and manage your own investments.
If someone tells you to buy a stock, the last thing you should do is buy that stock. The first thing you should do is ask “why?”.
Tykr has an easy-to-understand rating system that clearly informs you on why a stock is rated On Sale (potential buy), Watch, or Overpriced (potential sell). This gives you the confidence to move forward and positions you as the expert when you share this knowledge with family, friends, and other investors.
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Based on our record, Pandas seems to be a lot more popular than Tykr. While we know about 199 links to Pandas, we've tracked only 4 mentions of Tykr. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You're right. But there's a tykr.com now as well. Source: 11 months ago
1) There are a number of websites, which provide stock picks, stock alerts ( stocksignal, Tykr, Kavout and many others). Are they all breaking the law? By reading up more, it seems when enforcing the law, SEC only goes after folks who are using pump and dump schemes, and making false guarantees of sure returns. So, I am not sure that all sites are illegal. Source: 12 months ago
I recently got my hands on a tykr.com account. They use Calculation Guidance 2 - Tykr - Sticker Price - Tykr for calculating stock value. Can someone check this and confirm if this is a good valuation technique? Source: about 2 years ago
I've been dabbling with Tykr it's a pretty neat tool for value investing. Source: over 2 years ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 20 days ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 1 month ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 1 month ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
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