Welcome to Palmy. An ambitious project, which I, Mika Hemminger, am building up as founder. We are still at the beginning of our journey to achieve great things.
The vision of Palmy can't be bigger:
We want to close the information gap between institutional investors and retail investors, so that the latter do not have a strategic disadvantage in their investment decisions.
Key Thoughts:
You are the Shareholder of Palmy: Every suggestion, critique, and error report helps us to make the vision reality - Together.
Long-term Perspective: We keep building solutions, maily for long-term oriented stock investors. No need for technical analysis here!
Think Big:
It would be boring to offer only what every investor already knows. That's why we focus on providing new valuable insights such as those from the Proxy DEF 14-A filing.
These key thoughts are indeed the ground for the project.
We will fail if we loose only one of theses on our way.
Despite all the future savviness & goals, it's worth focussing on the present and you may ask why you should join Palmy today.
What sets us apart:
Your Competitive Edge:
We start where the industry standard fails to deliver. Solutions such as our tools for Sales segments, Supply, Risk factors, M&A, U.S. Contracts
etc. are offered at minimal costs.
Agility:
No matter what strategy you follow, we always present unbiased data for every stock, letting you form your own opinions.
Quality:
Palmy preserves the highest standards of accuracy to present top-tier stock analysis from
data vendors, but also individuals presenting their manual datasets.
Free Forever:
We don't put our annual fundamental data (income/cash flow/balance and key financial ratios)
behind a paywall. Access every year, after your free sign up.
No Ads:
Either if your are a Lite, PRO
or have just found us as a guest, we won't serve a single advertisment inside our products!
What's new:
Most recently we launched our first version for assessing macro risk on a worldwide scale.
A great thing was that Prof. Damodaran shared his OK with presenting the datasets he provides
at the NYU. This was a nice step, because of metrics such as CRP/ERP.
We are very honored and thankful to use this datasets.