What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
Introducing KlickAnalytics Copilot — Now on Every Page
Introducing KlickAnalytics Copilot—Now on Every Page


We have added a context-aware AI Copilot across KlickAnalytics, giving users a faster and more natural way to understand the information directly in front of them.
The new Ask AI button is available on every supported page. Open it, ask a question about what you are viewing, and Copilot reads the visible page to provide an immediate, page-specific answer.
With KlickAnalytics Copilot, users can:
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Ask questions about the data currently displayed
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Receive answers grounded in the visible page
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Summarize complex tables, charts, metrics, and market activity
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Identify leaders, laggards, trends, risks, and unusual movements
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Compare instruments or categories shown on the page
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Use suggested questions to begin exploring immediately
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Ask follow-up questions while maintaining the page context
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Turn displayed data into clear tables and concise explanations
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Move to the full AI agent when broader or deeper research is required
For example, while viewing World Markets, a user can ask:
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Which global indices are performing best today?
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Which commodities are gaining?
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What changed across the major currency pairs?
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Where is volatility increasing?
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What are the most important cross-market signals on this page?
The Copilot adapts to where the user is working. On a symbol page, it can explain company-specific data. On a screener, it can interpret the visible results. On a portfolio, it can help identify concentration and performance drivers. On market pages, it can summarize movements across asset classes.
Users no longer need to leave the page, copy figures, or explain what they are looking at. The context is already there.
Every page is now interactive. Every dataset can become a conversation.
See it. Ask it. Understand it—with KlickAnalytics Copilot.
To access: click on the floating button called 'Ask AI'
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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