What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
Compare close price 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'
Compare close prices to simple moving averages
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'
Movers > View stocks opening higher or lower
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
View pivot points for global symbols
We've added a new view called 'Pivot Points' which is available for all data tables. The view will give the following information;
Pivot Points
Support level 1 (S1)
Support level 2 (S2)
Support level 3 (S3)
Resistance level 1 (R1)
Resistance level 2 (R2)
Resistance level 3 (R3)

With the above, you can see price trends and related pivots support and resistance levels and more.
To access: From any of the data tables, click on views drop down called 'Main' and then select 'Pivot Points'
Movers > Added Top ETFs Stocks
We've added a new filter to view all Top performing ETFs in our movers app.

To access: Click on Menu > Movers > Top Performing ETFs
Movers > View breakout stocks
We've added a new filter in out movers app, that will allow you to look at stocks that are in the breakout formation. We will have two ways to look at breakout stocks;
Breakout - positive
Where stocks price moving above its 20-Days simple moving averages
Breakout - negative
Where stocks price moving below its 20-Days simple moving averages

In addition, we also display a column with values for % Change from Close price to 20-Day simple moving averages.
To access: Click on Menu > Movers, and then select from the drop down for either 'Breakout - positive or Breakout - Negative option'
View Dividend reports for Units and Close End Funds
We've added the following two new reports in our 'Dividend Reports' app;
Dividend Report - Units
Dividend Report - Close End Funds

This report will display all the dividend related information as per companies selected as either REIT, Units or Close End Funds.
To access: Click on Menu > Dividends > Dividends Reports
View top 1 week, 1/3/6/9/1 year top performing stocks
We've added the following additional movers views to our movers app;

Top 1 Week price performance
Top 1/3/6/9 Months price performance
Top Year-to-date price performance
Top 1 Year performance
The above will allow you to quickly view the best performance stocks based on the period you select at a glance.
To access: Click on Menu > Movers. Select the first drop down and select say '1 Week Price Performance'
Screener - Filter stocks with Moving Average Directions
We've added a new filter in our screener, that will allow you to filter records based on moving average trend directions. The options are;
Uptrend
Downtrend
Bullish Crossover
Bearish Crossover
Fast Bullish Crossover
Fast Bearish Crossover
Bottom Bounce
Top Pullback
Dead Cat Bounce

To access: Click on Menu > Screener, and then select from 'MA Direction'
Movers > Stats for moving averages
We've added a new enhancement to our platform, where from any of our data table, you will be able to view to the total stats/counts for all possible moving average directions.

This will help you to look at overall technical directions on your group of instruments and more. This enhancements is applicable to all data tables, and apps like movers, screeners, watchlist and more.
To access: Click on Menu > Movers, and then from the view drop down called 'Main', select 'Stats - Technical'.
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
Or start with