Global analytics platform
for humans and agents.
KlickAnalytics puts global market data, a full quantitative analytics engine and native AI on a single stack — reachable from a terminal, a command line, an API or an autonomous agent. Same catalogue. Same numbers, whoever is asking.
$30,000 a seat is why most of the team never gets one.
Today
One seat, shared. Most of the team waits their turn.
On KlickAnalytics
Everyone gets their own. From $500 a seat.
One universe. 86,000+ instruments.
Every asset class normalised into the same symbol model with adjusted history — so a chart, a screen, a correlation or a backtest can cross asset classes without you rebuilding the data first. Pick one and see exactly what you get.
Stocks
Global listed equities with split- and dividend-adjusted history, full fundamentals, and everything that moves them.
What you get
- Adjusted OHLCV history
- Income statement, balance sheet, cash flow
- Estimates, revisions and price targets
- Ratings, ownership and insider activity
ETFs
Exchange-traded funds screened, charted and broken open — categories, dividends and the holdings underneath.
What you get
- Popular, dividend and category screens
- Holdings and overlap by symbol
- Expense, yield and performance metrics
- ETF exposure for any ticker you hold
Funds
Mutual funds, closed-end funds, REITs and MLPs — the vehicles most platforms treat as an afterthought.
What you get
- Mutual fund and closed-end fund universe
- REIT and MLP coverage
- Dividend guidance and increases
- US major fund performance
Options
Not just the chain — the surface. What the market is pricing, how skew leans, and where a strategy actually breaks even.
What you get
- Full chain with greeks
- Implied volatility and IV/HV history
- Expected-move cones and term structure
- Put/call ratio, skew, ten strategy templates
Indices
World equity indices with their components, plus the sector, industry and thematic groupings you can chart against anything else.
What you get
- Global index levels and components
- Sector and industry performance
- Thematic and custom collections
- Heatmaps and breadth views
Currencies
The most liquid market on the planet — spot rates, single-currency strength views and full cross-rate matrices.
What you get
- Spot rates and history
- Single-currency strength views
- Full cross-rate matrix
- FX symbols usable in any tool
Commodities
Energy, metals, softs and agriculturals — both as trading vehicles and as the inflation signal sitting behind everything else.
What you get
- Energy, metals, softs and ags
- Benchmark and spread analysis
- Seasonality across history
- Correlation to equities and FX
Crypto
Majors and the long tail, carried as first-class symbols rather than a bolted-on widget.
What you get
- Majors and long-tail coverage
- Bubble maps and relative strength
- The same charting and backtesting engine
- Cross-asset correlation
Global economics
Releases, revisions and indicators carried as symbols — so a macro series can drive a screen or a backtest, not just a chart.
What you get
- Economic release calendar
- Indicators by country
- Market risk premium series
- Regime and event analysis
Filings & transcripts
The primary documents, searchable and retrievable — including by an agent that has to cite what it read.
What you get
- SEC filings feed, including 8-K
- Earnings call transcripts
- Highlights and keyword search
- Hybrid-retrieval RAG over your own uploads
News & sentiment
Over a million articles, plus press releases, social sentiment and market TV — attached to the tickers they move.
What you get
- Market news and per-symbol news
- Press releases and categories
- Social sentiment scores
- Market TV video coverage
Market internals
Breadth, regime and internal series carried as real symbols — chartable, screenable and backtestable like any stock.
What you get
- Breadth and participation series
- Regime classification symbols
- Threshold and new-high / new-low lists
- Usable inside any formula or backtest
Every company, on one screen.
Price, performance across eight windows, the full snapshot, analyst consensus, earnings history and the chart — before you have clicked anything. The first screen an analyst opens when a name lands on the desk.
Charting you do not leave the platform for.
Twenty years of adjusted history, drawing tools, auto support and resistance, trendlines and Fibonacci, event markers, streaming prices and a Pine-style scripting layer — on the same chart engine every app uses.
The whole options surface, not just the chain.
What the market is actually pricing: the implied-move cone out to each expiration, implied against historic volatility, skew, put/call ratio and payoff diagrams for ten strategy templates — all computed from the live chain.
Every asset class in one grid.
Indices, ETFs, commodities, crypto, FX and bonds ranked side by side from one day to one year, each column shaded on its own scale. One screen to answer what is working and what is not.
The world, before your morning call.
Thirty-two benchmark indices on a live map with leaders and laggards beside it, over any window from one day to a year — then the same markets as quotes, heatmaps, groups and themes.
A live wire that filters itself.
Nineteen thousand headlines and counting, streaming in as they land, with saved views, topic filters and instant search — attached to the tickers they move, not a separate destination.
No login needed to look around — most screens above open straight from the browser.
147 research apps. Every one of them callable.
This is not a feature list written for a landing page — it is the live product navigation, rendered from the same source the application uses. Filter it and see what you get on day one.
Symbol-scoped apps inherit whichever ticker you are looking at. Everything shown is included in one subscription.
One engine. Four ways in.
Nothing is exclusive to the interface. The terminal, the CLI, the API and an AI agent all call the same command catalogue — so the answer you get on screen is the answer your pipeline gets at 4am.
Actual product — Symbol › Earnings › Price Reaction.
ka — installable anywhere you have a shell.
Composition layer for applications and internal systems.
Claude, your own agent, or ours. Same tools.
Start free.
Free
no credit card — open in a minute
- Live quotes
- World markets, the news wire and calendars
- Real data, not a sandbox or a sample set
- Upgrade whenever you want the whole engine
Terminal
$5,000 / year — two months free
- Live quotes, world markets, news and calendars
- All 147 apps, no feature gates
- CLI, REST & GraphQL API, MCP server
- AI agents, workflows, documents and skills
- 10,000 AI credits every month
- Unlimited watchlists, portfolios and teams
Straight answers.
Can I try it without paying?
You can look around without an account at all — quotes, company screens, charts, world markets and the news wire open straight from the browser. Create a free account, no credit card, to keep watchlists and settings. Terminal unlocks the rest of the engine: screening, backtesting, the full options surface, the CLI, the API and the AI agents.
What does it cost?
One plan: Terminal, at $500 per month or $5,000 per year — two months free. Every feature is included: every app, the CLI, the API, MCP access, agents and 10,000 AI credits a month. There is no feature ladder to climb and no tier that unlocks the part you actually wanted.
How does that compare with a traditional terminal?
A seat on the incumbent terminal is roughly $30,000 a year, which is why most desks buy a handful and share them. At $5,000 a year you can put 6 seats on the desk for the price of one — so the junior analyst, the risk person and the PM each get their own rather than queueing for someone else's.
What markets do you cover?
One universe of 86,000+ instruments: global equities, ETFs, mutual and closed-end funds, REITs and MLPs, options, indices, currencies, commodities, crypto, economic series and market internals — all normalised into the same symbol model with adjusted history.
Do I have to use the command line?
No. The CLI, the API and the agent are additional doors into the same engine — the browser terminal is a complete product on its own. The point is that nothing is exclusive to the interface.
How is the AI different from a chatbot on top of documents?
Ours calls the analytics engine as tools. When you ask for an average earnings move it runs the calculation over raw price history and shows you the commands it used. Document retrieval is one feature of the stack, not the whole of it.
Can my own agent connect to it?
Yes — we run an MCP server listed in Anthropic's directory, so Claude or any MCP-capable agent can load the full command catalogue as native tools. There is also a REST and GraphQL API for everything else.
Put a seat on every desk.
Start free on real data — no credit card. Or look around first: most of the platform opens without an account.
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.
Or start with