Fail to deliver
| Date | Price | Quantity |
|---|---|---|
| 2026-07-31 | 235.5 | 5,197 |
| 2026-07-29 | 230.86 | 18 |
| 2026-07-27 | 232.11 | 256 |
| 2026-07-24 | 233.66 | 15,805 |
| 2026-07-23 | 244.85 | 611 |
| 2026-07-22 | 247.55 | 7,515 |
| 2026-07-21 | 249.99 | 25 |
| 2026-07-20 | 247.23 | 806 |
| 2026-07-17 | 249.89 | 1,126 |
| 2026-07-16 | 254.96 | 6,200 |
| 2026-07-15 | 247.49 | 7 |
| 2026-07-10 | 247.04 | 2,363 |
| 2026-07-09 | 243.62 | 2,351 |
| 2026-07-08 | 245.98 | 250 |
| 2026-07-07 | 244.16 | 3,000 |
| 2026-07-06 | 242.67 | 400 |
| 2026-07-02 | 241.7 | 800 |
| 2026-06-30 | 240.14 | 207,736 |
| 2026-06-29 | 232.69 | 28,618 |
| 2026-06-26 | 227.01 | 31,486 |
| 2026-06-25 | 234.27 | 1,305 |
| 2026-06-24 | 234.11 | 4,198 |
| 2026-06-23 | 232.79 | 214 |
| 2026-06-22 | 244.39 | 1,000 |
| 2026-06-18 | 237.5 | 2,046 |
| 2026-06-16 | 246.02 | 1,400 |
| 2026-06-15 | 238.55 | 100 |
| 2026-06-12 | 241.51 | 147,518 |
| 2026-06-11 | 238 | 29 |
| 2026-06-10 | 244.19 | 2 |
| 2026-06-09 | 245.22 | 2,449 |
| 2026-06-08 | 246.03 | 2,463 |
| 2026-06-05 | 253.79 | 17,724 |
| 2026-06-04 | 250.02 | 152,730 |
| 2026-06-02 | 261.26 | 2 |
| 2026-05-29 | 274 | 2 |
| 2026-05-28 | 271.85 | 1,700 |
| 2026-05-26 | 266.32 | 4,000 |
| 2026-05-21 | 265.01 | 8,200 |
| 2026-05-19 | 264.86 | 3,167 |
| 2026-05-18 | 264.14 | 1,295 |
| 2026-05-14 | 270.13 | 473 |
| 2026-05-12 | 268.99 | 5,688 |
| 2026-05-11 | 272.68 | 585 |
| 2026-05-08 | 271.17 | 1,104 |
| 2026-05-07 | 274.99 | 1,100 |
| 2026-05-05 | 272.05 | 516 |
| 2026-05-04 | 268.26 | 19,675 |
| 2026-05-01 | 265.06 | 53,397 |
| 2026-04-30 | 263.04 | 607,971 |
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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