Historical Prices
Historical Stats
| Low | High | Average | |
|---|---|---|---|
| Close | 19.52 2026-05-15 | 91 days ago |
36.59 2026-01-22 | 204 days ago |
28.72 |
| Open | 19.59 2026-05-13 | 93 days ago |
36.40 2026-01-23 | 203 days ago |
28.72 |
| High | 19.59 2026-05-13 | 93 days ago |
36.40 2026-01-23 | 203 days ago |
28.72 |
| Low | 18.01 2026-04-30 | 106 days ago |
35.94 2026-01-23 | 203 days ago |
28.30 |
| Volume | 506,500 2025-12-24 | 233 days ago |
17,284,900 2026-04-30 | 106 days ago |
2,087,424 |
| Price Volume | 14,003,196 2024-12-24 | 598 days ago |
351,402,017 2026-04-30 | 106 days ago |
57,873,990 |
| Change | -6.95 2024-10-30 | 653 days ago |
3.73 2025-01-13 | 578 days ago |
-0.02 |
| Change % | -24.34 2026-04-30 | 106 days ago |
15.55 2025-01-13 | 578 days ago |
-0.02 |
Historical Prices
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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