What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
Automated data news for you!
KlickAnalytics is a data company. We always look at ways and means to help our users to uncover data insights and more. With that, we've added a new app called 'Data News'.
Data News is a internal robot that will scan current and historical market data and find all important event. The information are organized into various reports like;
Top Volume Leaders
Top Gainers ($)
Top Gainers (%)
Top Losers ($)
Top Losers (%)
Sector Performances
Top/Bottom - Open to Close Gaps
Top/Bottom - High to Close Gaps
Top/Bottom - Low to Close Gaps
We are constantly adding more and more reports for our users. To access all these reports, we have provided a simple interface where our users can select a report type, market, asset class type and even defined a custom date range to view all reports for that date and more.
These reports are calculated at the end of the market. We have these reports compiled from year 2000 onwards. Currently we have around 55,000+ reports stored in our system and we are adding more and more.
To view: From the left menu, click Stocks > Today > Data News
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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