What's New

Product updates, improvements and fixes across the KlickAnalytics platform.

Global symbol search with exchange information

New
Feb 1, 2022
 

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

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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

New
Jan 26, 2022
 

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

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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

Improvement
Jan 24, 2022
 

We've added the following new options under our stocks app;

52 Week High

52 Week Low

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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

New
Jan 19, 2022
 

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

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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?

Improvement
Jan 12, 2022
 

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'.

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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

New
Jan 6, 2022
 

We've added a new app which allows you to look at current and historical earnings call transcript for all US listed companies.

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KlickAnalytics provides call scripts from 2006 onwards for companies.

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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

New
Dec 23, 2021
 

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'.

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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

Improvement
Oct 28, 2021
 

We've had enhanced our 'sectors' app with the following;

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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

New
Oct 21, 2021
 

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

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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.