What's New
Product updates, improvements and fixes across the KlickAnalytics platform.
View pre and post market movers
We are so excited to announce that we've added a new app called 'Pre and Post Movers' which display pre and post markets movers.
Understanding pre and post-market movers stock information is crucial for investors and traders. Firstly, it provides insight into early market sentiment, helping individuals make informed decisions before the regular trading session begins. This data can alert investors to potential price gaps and trends, minimizing unexpected losses. Secondly, it aids in risk management by allowing traders to adjust their positions or execute orders after hours, ensuring they respond to breaking news or events that may impact stock prices. Finally, pre and post-market data can unveil new opportunities and reveal valuable market intelligence, giving traders a competitive edge and improving their chances of success in the fast-paced world of stock trading.
To access:
From the left menu, click on Movers > Pre Market
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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