Fail to deliver
| Date | Price | Quantity |
|---|---|---|
| 2026-08-11 | 2.8 | 73 |
| 2026-07-16 | 2.67 | 2 |
| 2026-07-10 | 2.59 | 592 |
| 2026-01-08 | 2.7 | 447 |
| 2026-01-05 | 2.78 | 343 |
| 2026-01-02 | 2.69 | 347 |
| 2025-10-15 | 5.05 | 11,208 |
| 2025-10-14 | 2.75 | 412 |
| 2025-09-10 | 2.46 | 100 |
| 2025-08-06 | 2.6 | 59 |
| 2025-08-05 | 2.6 | 170 |
| 2025-08-04 | 2.58 | 366 |
| 2025-07-29 | 2.64 | 799 |
| 2025-07-28 | 2.65 | 31 |
| 2025-07-23 | 2.52 | 288 |
| 2025-06-30 | 2.44 | 202 |
| 2025-06-26 | 2.45 | 1,251 |
| 2025-06-25 | 2.45 | 891 |
| 2025-06-17 | 2.39 | 1,984 |
| 2025-06-16 | 2.42 | 4,767 |
| 2025-06-10 | 2.5 | 453 |
| 2025-06-06 | 2.45 | 533 |
| 2025-06-04 | 2.46 | 251 |
| 2025-06-03 | 2.44 | 420 |
| 2025-06-02 | 2.45 | 372 |
| 2025-05-30 | 2.44 | 90 |
| 2025-05-28 | 2.41 | 84 |
| 2025-05-22 | 2.47 | 495 |
| 2025-05-16 | 2.38 | 1,278 |
| 2025-05-12 | 2.42 | 71 |
| 2025-05-09 | 2.47 | 11 |
| 2025-05-06 | 2.7 | 83 |
| 2025-04-24 | 2.58 | 31 |
| 2025-04-23 | 2.59 | 31 |
| 2025-04-22 | 2.51 | 183 |
| 2025-04-21 | 2.53 | 323 |
| 2025-04-15 | 2.58 | 896 |
| 2025-04-10 | 2.5 | 458 |
| 2025-04-03 | 2.84 | 323 |
| 2025-03-24 | 3.33 | 891 |
| 2025-03-07 | 3.18 | 423 |
| 2025-03-06 | 3 | 550 |
| 2025-03-05 | 3.28 | 1,385 |
| 2025-03-03 | 3.27 | 1 |
| 2024-09-12 | 2.44 | 8 |
| 2024-09-11 | 2.49 | 1,018 |
| 2024-08-12 | 2.42 | 1,680 |
| 2023-09-19 | 2.1 | 361 |
| 2023-09-06 | 2.3 | 261 |
| 2023-08-08 | 2.6 | 1 |
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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