What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
View Top Analysts Price Targets!
We are thrilled to announce the addition of enhanced features to Klick Analytics' Price Targets section.
Track Analyst Recommendations: Users can now view all price target recommendations made by a specific analyst, including key metrics such as price when posted, target price, adjusted target price, upside/downside percentage, and close vs. target price percentage.
Top Analysts Rankings: Easily access a detailed leaderboard of top-performing analysts, ranked by success rate, average returns, and total ratings, to identify the most reliable experts in the field. Detailed Analyst Profiles: Each analyst profile now showcases their rank, total ratings, success rate, and average return, allowing users to assess their performance at a glance.
These features are designed to provide a deeper understanding of analyst performance and empower users with actionable insights for smarter decision-making.
To access: Click Menu > Stocks > Price Targets > Top Analysts
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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