What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
142 updates · clear
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'.
Movers > View total stats for moving average directions like uptrends, downtrends...
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'.
View Moving average technical direction
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'
Screener > Filter stocks with listed options
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
Movers > Find Gap up and Gap down stocks
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'
Historical Time Series Aggregation
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
Find movers where current price < previous day low price
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'
View markets movers in visual scatter chart
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'
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.
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