What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
142 updates · clear
Visualization - Group stats
We've enhanced our visualization tool to display Group stats based on your own selection of stocks and more.
This feature is available by selection the view type drop down and then select 'Stats'.

In addition, this feature is added to all applicable apps ie. at movers, stocks, screeners, watchlist and more.
The stats will run stats on all the symbols based on the user selection and will give the following data;
Toal Up / Down and No change counts for;
Change (%)
Change 1 Day (%)
Daily Change 1 Week (%)
Change 1/3/6/9 Months (%)
Change 1/3/5 Years (%)
52 Week High / Low
of stocks where current price > 52 week high price
of stocks where current price < 52 week low price
Open / Close Prices
of stocks where current price > open price
of stocks where current price < open price
To access: From the top menu, select stocks, and then in the app, click on Main drop down and select 'Stats'
View Historical Standard Deviations for global symbols
KlickAnalytics calculates a lot of derived data from market data. We just updated our volatility app to include historical standard deviations with the following periods;
1 Week
20 Days
1 Month
3 Months
100 Days
6 Months
9 Months
Year-to-date
1 Year
3 Years
and 5 Years

Defining price movement in terms of standard deviations is preferable to using percentage change because using standard deviations puts all the stocks on a level playing field. There are categories of stocks that are typically more volatile and have larger percentage price changes than other stocks. For example, low-priced small-cap stocks or high-tech stocks are typically much more volatile than lower volatility stocks such as utility stocks. If we used percentage change to define price movement, then high-volatility stocks would always dominate the list and we would miss lower-volatility stocks that might have an unusually large movement on a particular day.
This will allow our users to view price movements of any global symbol in terms of historical standard deviations and much more.
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