What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
Build Your Own Live Market Tables
New: Build Your Own Live Market Tables
The new KlickAnalytics Table App lets you create fully customized, live market-data workspaces built around the instruments and metrics that matter to you.
With the Table App, you can:
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Add and compare your chosen symbols
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Select from a broad range of market, company, fundamental, technical, and corporate-action data
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Create custom calculated columns that update with the latest data
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Add peer-comparison columns
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Reorder columns and apply visual shading
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Group instruments by sector, industry, market-cap band, asset type, currency, or exchange
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Generate instant summaries, including averages, minimums, maximums, and totals
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Share tables with your team
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Export table data for further analysis
Whether you are comparing stocks, monitoring a watchlist, analyzing peers, or building a specialized market view, the Table App keeps your data organized, continuously updated, and ready for analysis.
Your symbols. Your columns. Your live market workspace.
To access: From the menu, click on My > Tables
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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