What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
Real-Time Tables
Market work changes fast.
Your watchlists, trade ideas, research notes, and team workflows should not be trapped in static files.
We’re introducing real-time tables inside KlickAnalytics — live collaborative tables that can be created, updated, shared, and tracked inside the terminal.
Use them for:
Live market watchlists Trade idea tracking Research coverage lists Portfolio review notes Catalyst/event tracking Team analyst workflows Client-ready market lists
Example:
A team creates a “Stocks To Watch Today” table. One analyst adds symbols. Another updates the reason for watching. A PM reviews it in view-only mode. Everyone stays aligned in real time.
No version chaos. No scattered notes. No disconnected workflow.
This is not Excel functionality.
It’s a live collaborative workspace for market intelligence.
KlickAnalytics is becoming where financial teams create, share, and act on market intelligence — together.
To access: From the top menu > Click 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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