What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
A Smarter View of Analyst Price Targets
KlickAnalytics now gives you a deeper view of analyst expectations—showing not only the current consensus price target, but how targets are distributed, changing, and positioned against the stock’s current price.
Quickly evaluate:
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High, low, consensus, and median price targets
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Implied upside or downside from the current price
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Where the stock trades within the complete analyst target range
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Historical average targets over the last month, quarter, year, and all time
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Whether analyst expectations are being raised or lowered
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The spread between bullish and bearish targets
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Coverage depth across recent periods
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How targets compare with the stock’s 52-week range
A new automatically generated Price Target Summary translates the data into clear observations—highlighting changes in expectations, analyst disagreement, potential upside or downside, and longer-term shifts in market sentiment.
See the range. Track changing expectations. Understand what analysts are pricing in.
To access: Search for any symbol say TSLA, and click Company > Price targets
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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