Fail to deliver
| Date | Price | Quantity |
|---|---|---|
| 2026-08-14 | 1.46 | 43,973 |
| 2026-08-13 | 1.42 | 45,695 |
| 2026-08-12 | 1.39 | 44,778 |
| 2026-08-11 | 1.48 | 43,973 |
| 2026-08-10 | 1.5 | 43,973 |
| 2026-08-07 | 1.27 | 15,583 |
| 2026-08-05 | 1.24 | 2,240 |
| 2026-06-17 | 1.45 | 1,738 |
| 2026-06-15 | 1.37 | 62 |
| 2026-06-04 | 1.37 | 49,214 |
| 2026-06-03 | 1.34 | 49,214 |
| 2026-06-02 | 1.36 | 49,214 |
| 2026-06-01 | 1.18 | 26,243 |
| 2026-05-29 | 1.19 | 24,816 |
| 2026-05-06 | 1.12 | 31,275 |
| 2026-05-05 | 1.12 | 31,275 |
| 2026-05-04 | 1.12 | 31,275 |
| 2026-05-01 | 1.13 | 31,275 |
| 2026-04-30 | 1.12 | 31,459 |
| 2026-04-29 | 1.12 | 31,459 |
| 2026-04-28 | 1.12 | 31,459 |
| 2026-04-27 | 1.13 | 31,821 |
| 2026-04-24 | 1.15 | 27,938 |
| 2026-04-23 | 1.11 | 15,173 |
| 2026-04-22 | 1.15 | 9,953 |
| 2026-04-07 | 1.17 | 2,324 |
| 2026-04-01 | 1.19 | 519 |
| 2026-03-31 | 1.16 | 519 |
| 2026-03-30 | 1.14 | 519 |
| 2026-03-26 | 1.14 | 280 |
| 2026-03-25 | 1.2 | 280 |
| 2026-03-24 | 1.26 | 280 |
| 2026-03-23 | 1.03 | 280 |
| 2026-03-18 | 0.86 | 13,327 |
| 2026-03-17 | 1.07 | 16,900 |
| 2026-01-21 | 1.97 | 29,398 |
| 2026-01-20 | 1.99 | 29,398 |
| 2026-01-16 | 1.98 | 29,398 |
| 2026-01-15 | 2.03 | 29,398 |
| 2026-01-14 | 1.91 | 29,398 |
| 2026-01-13 | 1.97 | 29,398 |
| 2026-01-12 | 1.9 | 29,398 |
| 2026-01-09 | 1.96 | 29,409 |
| 2026-01-08 | 2.05 | 29,398 |
| 2026-01-07 | 1.94 | 4,524 |
| 2026-01-06 | 1.9 | 2,490 |
| 2025-12-16 | 2.06 | 1 |
| 2025-11-24 | 1.82 | 40,444 |
| 2025-11-21 | 1.73 | 41,644 |
| 2025-11-20 | 1.73 | 41,644 |
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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