What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
View additional market collections
We've added the following new collections which group companies based on their operations like Get Fit, Gig Economy, Crypto based companies and more, to help you analyze these stocks at a glance!

To access: Click on Menu > Collections
Quickly view all major instruments
Now you can quickly access all key instruments with charts, news, trends and more via our new app called 'Major Instruments'. This will allow you to quickly view the performance of all major instruments at a glance and more.

To access: Click Menu > Movers > Key Instruments
Latest Mergers and Acquisitions Data
We have added a new data coverage of Mergers and Acquisitions where users can view parent to target companies, transaction dates and actual SEC information link as well.

To view : Click Menu > Stocks > Mergers and Acquisitions
Additional coverage added for Closed End Funds, MLPs and REITs
Now you can explore Closed End Funds, MLPs and REITs based companies with all our global analysis tools and more.

Explore seasonality patterns
Access seasonality patterns like average returns for daily, weekly, monthly and yearly along with key stats like standard deviations, variance and more.
Access now at https://klickanalytics.com/symbol_seasonality_patterns?s=TSLA
Quickly access intraday market movers and companies information side by side
We've added a new app, which will allow our users to quickly view intraday market movers and companies information side by side.
To access, take a look at klickanalytics.com/now
You can even filter movers by sectors, price and volume range too. Now you can quickly access markets movers and also see the companies key information side-by-side with single click!
We're starting a changelog
Big news today, we're starting a public changelog so you're always up to date with all the updates, improvements and fixes that are made in Klickanalytics.
Even though we work on Klickanalytics all the time, sometimes it may seem that not much is happening. This changelog is here to improve that very important part of the communication between you and us.
Historical Discount Cash Flows
Discounted cash flow (DCF) is a valuation method used to estimate the value of an investment based on its expected future cash flows. DCF analysis attempts to figure out the value of an investment today, based on projections of how much money it will generate in the future. This applies to the decisions of investors in companies or securities, such as acquiring a company or buying a stock, and for business owners and managers looking to make capital budgeting or operating expenditures decisions.
We've added a new app called 'DCF' which will allow our users to view;
DCF for any listed company
View Daily, Quarterly and Annual DCF values
View Historical DCF values displayed on a chart to see historical trends and more.

To view: Search for a symbol like AAPL, and then from to dropdown click Fundamentals > DCF
Compare open price to vs previous day
We've added a new view to all our data tables called 'Open to Previous Day' which will provide the following columns:
Open price to previous high price (%)
Open price to previous low price (%)
Open price to previous close 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 'Open to Previous Day'
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
