Newsroom
Market News
Daily session summaries and trader statistics. Click a headline to read it — the arrows walk the list.
Trading Activity
- WMT - Trader Stats
- IVV - Trader Stats
- JPM - Trader Stats
- JPM-PC - Trader Stats
- JPM-PD - Trader Stats
- JPM-PK - Trader Stats
- JPM-PM - Trader Stats
- JPM-PJ - Trader Stats
- JPM-PL - Trader Stats
- RDY - Trader Stats
- CHT - Trader Stats
- MU - Trader Stats
- BRK-B - Trader Stats
- LLY - Trader Stats
- AMX - Trader Stats
- SUPV - Trader Stats
- CRESY - Trader Stats
- NVO - Trader Stats
- CRESW - Trader Stats
- TSLA - Trader Stats
- META - Trader Stats
- UMC - Trader Stats
- EDN - Trader Stats
- WIT - Trader Stats
- VOO - Trader Stats
- AVGO - Trader Stats
- IRS - Trader Stats
- IRS-WT - Trader Stats
- BABA - Trader Stats
- LOMA - Trader Stats
- SPCX - Trader Stats
- CCU - Trader Stats
- VTI - Trader Stats
- ASX - Trader Stats
- AMZN - Trader Stats
- CEPU - Trader Stats
- MSFT - Trader Stats
- AKO-B - Trader Stats
- GOOG - Trader Stats
- GOOGL - Trader Stats
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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