What's New

Now you can explore Closed End Funds, MLPs and REITs based companies with all our global analysis tools and more.

We've added a new source called 'In ETF' under all applications like Ratings, Screeners and more, where our users can access a particular ETF holdings for analysis and more.

To View more, See Ratings, or Screener

Access seasonality patterns like average returns for daily, weekly, monthly and yearly along with key stats like standard deviations, variance and more.

Access now at https://klickanalytics.com/symbol_seasonality_patterns?s=TSLA

We've added a new app, which will allow our users to quickly view intraday market movers and companies information side by side.

To access, take a look at klickanalytics.com/now

You can even filter movers by sectors, price and volume range too. Now you can quickly access markets movers and also see the companies key information side-by-side with single click!

Big news today, we're starting a public changelog so you're always up to date with all the updates, improvements and fixes that are made in Klickanalytics.

Even though we work on Klickanalytics all the time, sometimes it may seem that not much is happening. This changelog is here to improve that very important part of the communication between you and us.

Discounted cash flow (DCF) is a valuation method used to estimate the value of an investment based on its expected future cash flows. DCF analysis attempts to figure out the value of an investment today, based on projections of how much money it will generate in the future. This applies to the decisions of investors in companies or securities, such as acquiring a company or buying a stock, and for business owners and managers looking to make capital budgeting or operating expenditures decisions.

We've added a new app called 'DCF' which will allow our users to view;

• DCF for any listed company

• View Daily, Quarterly and Annual DCF values

• View Historical DCF values displayed on a chart to see historical trends and more.

To view: Search for a symbol like AAPL, and then from to dropdown click Fundamentals > DCF

We've added a new view to all our data tables called 'Open to Previous Day' which will provide the following columns:

Open price to previous high price (%)

Open price to previous low price (%)

Open price to previous close price (%)

This update is available on all data tables.

This will allow you to view if the stocks are opening higher or lower than the previous day and more.

To access: Click on Menu > Movers > Click on drop down 'Main' and then select 'Open to Previous Day'

We've added a new view to all our data tables called 'Close to Previous Day' which will provide the following columns:

• Close price to previous open price (%)

• Close price to previous high price (%)

• Close price to previous low price (%)

This update is available on all data tables.

This will allow you to view if the stocks are opening higher or lower than the previous day and more.

To access: Click on Menu > Movers > Click on drop down 'Main' and then select 'Close to Previous Day'

We've added a new view to all our data tables called 'Close to Moving Averages' which will provide the following columns:

• Close price to 5-Day Simple Moving Averages (%)

• Close price to 7-Day Simple Moving Averages (%)

• Close price to 10-Day Simple Moving Averages (%)

• Close price to 20-Day Simple Moving Averages (%)

• Close price to 50-Day Simple Moving Averages (%)

• Close price to 100-Day Simple Moving Averages (%)

• Close price to 200-Day Simple Moving Averages (%)

This update is available on all data tables.

This will allow you to view if the stocks are opening higher or lower vs the various simple moving average periods.

To access: Click on Menu > Movers > Click on drop down 'Main' and then select 'Close to Moving Averages'

Our users can view stocks in our movers app that are opening i.e.;

Higher than their previous day close price

Lower than their previous day close price

To access: Click on Menu > Movers > and select Open > Previous Close or Open < Previous Close