What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
The KlickAnalytics Blog
KlickAnalytics now has a dedicated Blog—bringing practical guides, product news, research ideas, and real-world financial workflows into one searchable destination.
The Blog is designed to help users understand what KlickAnalytics offers, and in addition to how to apply its tools to everyday market analysis and investment work.
Explore content across:
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Sheets — Financial formulas, live market-data models, dashboards, and analytical templates
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Guides — Step-by-step workflows for using KlickAnalytics effectively
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Product — New feature announcements, capabilities, and platform improvements
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Collaboration — Ways teams can work together using Sheets, Wiki, comments, calendars, and shared research
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Research — Practical market analysis, investment methodologies, and data-driven insights
The Blog includes detailed examples such as:
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Building cross-asset correlation dashboards
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Pulling market data and financial statements into Sheets
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Creating live portfolio and risk models
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Using KA financial formulas
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Building and testing investment strategies
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Managing a trading-desk rule book in Wiki
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Reviewing research and models with colleagues
Users can search the complete Blog, filter articles by category, discover featured content, and see the estimated reading time for every post.
This is more than a product-news page. It is a growing practical library for turning KlickAnalytics data, analytics, AI, and collaboration tools into repeatable financial workflows.
Learn the platform. Build the workflow. Apply it to the market.
To access: From the Menu > Resources > Blog
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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