KlickAnalytics calculates hundred of calculation on pricing, technical and fundamental data. We've added additional calculations to calculate the direction of the moving averages for major patterns.

You can access this information from any of our data table in the column called "MA Direction".

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The "MA direction" can have following possible values;

Uptrend

• Current price above 20-day MA
• 20 MA above 50 MA
• 50 MA above 250 MA

Downtrend

• Current price below 20-day MA
• 20 MA below 50 MA
• 50 MA below 250 MA

Bullish Crossover

• Current price above 20-day MA
• 20 MA above 50 MA
• 50 MA below 250 MA

Bearish Crossover

• Current price below 20-day MA
• 20 MA below 50 MA
• 50 MA above 250 MA

Fast Bullish Crossover

• Current price above 20-day MA and 50 MA
• 20 MA below 50 MA
• 50 MA below 250 MA

Fast Bearish Crossover

• Current price below 20-day MA and 50 MA
• 20 MA above 50 MA
• 50 MA above 250 MA

Bottom Bounce

Current price above 20-day MA 20 MA below 50 MA and 250 MA 50 MA below 250 MA

Top pullback

• Current price below 20-day MA
• 20 MA above 50 MA and 250 MA
• 50 MA above 250 MA

Dead Cat Bounce

• Current price below 20-day MA, 50 MA, 250 MA
• 20 MA above 50 MA
• 20 MA below 250 MA
• 50 MA below 250 MA

To access: Click Menu > Movers, and view the column called 'MA Direction'

Now you can filter stocks which had listed options in our screener!

This will allow you to filter stocks with various criteria and be able to look at stocks with listed options.

To access: Click on Menu > Screener

We've added a new view to our Movers app, where you can view all the stocks where they are gap up or gap down.

Where;

Gap up stocks are those stocks where their opening gap (%) i.e. Current price - yesterday close price is positive.

Gap down stocks are those stocks where their opening gap (%) i.e. Current price - yesterday close price is negative.

In addition, we also added additional column i.e. % Chg from Open = Current Close Price - Current Open Price

This will allow you to quickly check the trade opportunities for finding gap up or gap down stocks.

To access: Click on Menu > Movers. Select the drop down called 'Gap Up'

Now you can analyze thousands of data points for multiple instruments, companies, ETFs, commodities and any global instrument via our new app called "aggregate". The aggregate app allows you to;

Create your own list of instruments

Chose your field to aggregate e.g Close Price, % Change, Volume etc.

Select historical aggregate via

• Sum

• Average

• Maximum

• Minimum

• Count

On top of it, calculate results for

• Percentage Change

• Cumulative Change

• Difference

• Ratio

Define your own time series range

The system will calculate all the time series for each instrument and then apply specified aggregation, and summary calculations to give you historical trend analysis based on your own list of instruments.

To access: From the top menu, click on Tools > Aggregate

Now you can view the movers where current price < previous day low 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'

We've added a new visualization view called 'Scatter' which will allow you to;

• View global symbols performances in visual scatter plot format

• View instruments 1 day percentage change vs volume activity

• View all movers (green dots) and gainers (red dots) in an interactive chart

and more…

This visualization is available in all data tables.

To view: From left menu > Movers > Current, and under View drop down, select 'Scatter'

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