What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
Global symbol search with exchange information
KlickAnalytics provide global financial markets information with thousands of companies traded in multiple exchanges. We've enhanced our auto-complete search functionality so that when you search a symbol, it will display;
Symbol Name
Exchange/Country short name

Now you can see both the symbol name and its associated exchange or country information within auto-complete.
To access: From the top bar, search any global symbol.
Market FAQs
Investors always look at finding answers from the market, so to solve this problem, we've created a new app called 'Markets FAQs', where;
We will list the most common questions, an investor normally seek
These questions will be grouped into several categories like Global Markets, Company Analysis, Recommendations, and more.
Our user can filter FAQs based on;
categories,
filter results with search or
even look at FAQs which contains a video walkthrough
For each FAQ, when click will lead you to the respected KlickAnalytics app for an answer

We have around 100+ common market FAQs at the moment, and we will be adding more investors' FAQs more and more.
To access: Click on Menu > Market FAQs
View New 52-Week High / Low Stocks
We've added the following new options under our stocks app;
52 Week High
52 Week Low

This will allow our users to quickly view the stocks reaching 52 week high or low prices compared to their current price at a glance.
To access: From the top menu, select Stocks > Movers
Filter best stocks by fundamental ratings
Fundamental analysis plays an important role in evaluating a company strengths and more. Now you can filter best stocks by fundamental ratings and more.
We take the following fundamental data items in our calculations;
DCF - Discounted Cash Flow
ROE - Return on Equity
ROA - Return on Assets
Debt to equity ratio
Price to earnings ratio
Price to book ratio
For a detail explanation of the calculations, click here.
We will have the following ratings for each US listed companies
Strong Buy
Buy
Neutral
Sell
Strong Sell

You can view ratings based on;
Total Rating
Rating - DCF
Rating - ROE
Rating - ROA
Rating - Debt/Equity
Rating - Price to earning ratio
Rating - Price to book ratio
You can even filter the records based on an exchange, sector, companies within an index, themes based companies, or even watchlist.
To access: From the top menu, click Menu > Ratings
Please note that the above ratings are purely for education purpose and does not constitute any recommendations of any type of trading at all. Please take this purely for education purposes only.
How to find the best dividends stocks?
There are several ways to find an answer. One way to compare the dividend-paying stocks with their dividend yields and historical volatilities is to see the best dividend stocks. For that, we had created a new visualization tool called 'Dividend Comparison'.

You can run the above visualization tool on yours;
Index members list
Watchlist
Groups
Collections and more
You will be able to chose the base-line variable to compare like
1 Week to 5 years standard deviations
and the system will calculate and will show you the best dividend paying stocks.
View all historical earning call transcripts
We've added a new app which allows you to look at current and historical earnings call transcript for all US listed companies.

KlickAnalytics provides call scripts from 2006 onwards for companies.

Now our users can access all the earnings call transcripts to see actual call details for even further analysis.
To access: Search for a company say TSLA, and then from the left symbol menu > Earnings > Call Transcript
Visualization - Group stats
We've enhanced our visualization tool to display Group stats based on your own selection of stocks and more.
This feature is available by selection the view type drop down and then select 'Stats'.

In addition, this feature is added to all applicable apps ie. at movers, stocks, screeners, watchlist and more.
The stats will run stats on all the symbols based on the user selection and will give the following data;
Toal Up / Down and No change counts for;
Change (%)
Change 1 Day (%)
Daily Change 1 Week (%)
Change 1/3/6/9 Months (%)
Change 1/3/5 Years (%)
52 Week High / Low
of stocks where current price > 52 week high price
of stocks where current price < 52 week low price
Open / Close Prices
of stocks where current price > open price
of stocks where current price < open price
To access: From the top menu, select stocks, and then in the app, click on Main drop down and select 'Stats'
View Advancers and Decliners distributions
We've had enhanced our 'sectors' app with the following;

Added a column bar which shows;
Total number of companies Advanced and Declines within the range of <-15% to > 15%
All decliners are shown in red color
All advancers are shown in green color
Users can visually see the Advancers and Decliners distribution by a chart
Added additional columns to our table, which shows data for each sector. i.e.
Advancers and Decliners by 1 day return range from <-15% to >15%
To access: Click on Menu > Sector Performance
View Historical Standard Deviations for global symbols
KlickAnalytics calculates a lot of derived data from market data. We just updated our volatility app to include historical standard deviations with the following periods;
1 Week
20 Days
1 Month
3 Months
100 Days
6 Months
9 Months
Year-to-date
1 Year
3 Years
and 5 Years

Defining price movement in terms of standard deviations is preferable to using percentage change because using standard deviations puts all the stocks on a level playing field. There are categories of stocks that are typically more volatile and have larger percentage price changes than other stocks. For example, low-priced small-cap stocks or high-tech stocks are typically much more volatile than lower volatility stocks such as utility stocks. If we used percentage change to define price movement, then high-volatility stocks would always dominate the list and we would miss lower-volatility stocks that might have an unusually large movement on a particular day.
This will allow our users to view price movements of any global symbol in terms of historical standard deviations and much more.