Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 3,133,386,715.0000 +65.32% on 08/14/26 | 6,941,622,888.0000 -25.38% on 09/07/26 | +1,573,701,069.0000 (+43.64%) since 08/10/26 | |
| 3-Month | 2,536,672,158.0000 +104.20% on 07/22/26 | 9,557,991,003.0000 -45.80% on 06/25/26 | +269,890,892.0000 (+5.50%) since 06/10/26 | |
| 6-Month | 2,536,672,158.0000 +104.20% on 07/22/26 | 18,410,961,659.0000 -71.86% on 03/25/26 | -3,255,541,095.0000 (-38.59%) since 03/09/26 | |
| YTD | 2,536,672,158.0000 +104.20% on 07/22/26 | 18,410,961,659.0000 -71.86% on 03/25/26 | -2,349,086,164.0000 (-31.20%) since 01/02/26 | |
| 52-Week | 2,354,489,452.0000 +120.00% on 12/24/25 | 26,455,093,677.0000 -80.42% on 10/01/25 | -1,222,532,442.0000 (-19.09%) since 09/09/25 | |
| 5-Year | 0.0000 on 09/08/21 | 113,914,067,430.0000 -95.45% on 03/10/22 | +5,179,973,272.0000 (+0.00%) since 09/08/21 |
New Highs
Historical highsAsk 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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