Study what happens to asset prices when an event occurred?

Market events like a sudden jump or drop in a major exchange, major stock prices volatility moves up or down and more impact asset prices movements. It is important to know and understand these events to help align trading strategies and more, but there is no custom tool to achieve that?

To solve this problem, we've enhanced a new app called "Market Events" app, which will allow our users to;

Define Event

• View existing market events examples e.g. When Dow falls 5%

• Ability to create your own market event

• Ability to define your own formula

Define time range

Define trading strategies

When to buy or sell an asset say on

Market event date

Before/After Market event

Define asset class universe

Ability to define custom symbols

Ability to include symbols from

Collections

Markets groups or even

from your own watchlist

Run Analysis

View how many time your event occurred?

• See event data distribution by month and year

• See the best instruments in terms of best average returns

• View historical buy/sell trades for further analysis

The above tool will allow you to define all sort of markets events so that you can run analysis on your own stocks, crypto, index, ETFs and more to see how they perform during those event.

To view: From the top menu, select Tools > Market Events

Now you can view the movers where current price > previous day high price via our Movers app.

You can even filter more records by exchange, sectors, industries and more.

To access: Click on Menu > Movers. Select the drop down 'Price > Previous High'

Now you can view the top gainers on high volumes via our Movers app.

You can even filter more records by exchange, sectors, industries and more.

To access: Click on Menu > Movers. Select the drop down 'Top Gainers on High Volume'

To leverage the advancements in machine learning and more, we've added a new module to calculate the Linear Regression via machine learning. The new app 'Linear Regression'. The app will use the machine learning i.e.

The user will be able to select any global instrument e.g. Stocks, ETFS, Funds, Index, Commodities, Currency, Crypto

Set the duration of dates

The app will then take daily historical returns for the said symbol

Calculate the daily LAG1 returns i.e. Return of 1-Day before for each day

Run machine learning model to predict returns on above data set

Calculate the linear regression model by apply the fit for

Daily LAG1 return

Daily return

Calculate the linear regression line

Calculate the predicted returns based on the linear model

Provide a scatter plot to visualize the daily LAG1 returns, returns and regression line

The time series chart also provide a way to view the returns vs predicted returns and to see how many times the predicted returns direction was correct i.e. If the predicted returns and daily returns directions are same, it is considered a good forecasted direction.

Also it provides stats like;

number of observations i.e Number of trading days,

of positive forecast

% of positive forecasted returns within the model

This is the very first Machine Learning model among the many more models to come at KlickAnalytics.com

To access: From the top bar, Click ML > Linear Regression

Now you can view the top losers on high volumes via our Movers app.

You can even filter more records by exchange, sectors, industries and more.

To access: Click on Menu > Movers. Select the drop down 'Top Losers on High Volume'

KlickAnalytics is a data company. We always look at ways and means to help our users to uncover data insights and more. With that, we've added a new app called 'Data News'.

Data News is a internal robot that will scan current and historical market data and find all important event. The information are organized into various reports like;

• Top Volume Leaders

• Top Gainers ($)

• Top Gainers (%)

• Top Losers ($)

• Top Losers (%)

• Sector Performances

• Top/Bottom - Open to Close Gaps

• Top/Bottom - High to Close Gaps

• Top/Bottom - Low to Close Gaps

We are constantly adding more and more reports for our users. To access all these reports, we have provided a simple interface where our users can select a report type, market, asset class type and even defined a custom date range to view all reports for that date and more.

These reports are calculated at the end of the market. We have these reports compiled from year 2000 onwards. Currently we have around 55,000+ reports stored in our system and we are adding more and more.

To view: From the left menu, click Stocks > Today > Data News

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.

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

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.

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