What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
Compare close prices to simple moving averages
We've added a new view to all our data tables called 'Close to Moving Averages' which will provide the following columns:
Close price to 5-Day Simple Moving Averages (%)
Close price to 7-Day Simple Moving Averages (%)
Close price to 10-Day Simple Moving Averages (%)
Close price to 20-Day Simple Moving Averages (%)
Close price to 50-Day Simple Moving Averages (%)
Close price to 100-Day Simple Moving Averages (%)
Close price to 200-Day Simple Moving Averages (%)
This update is available on all data tables.
This will allow you to view if the stocks are opening higher or lower vs the various simple moving average periods.
To access: Click on Menu > Movers > Click on drop down 'Main' and then select 'Close to Moving Averages'
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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