Historical Returns
Historical Returns Comparision (%)
| Symbol | Today | 1W | 1M | 3M | 6M | 9M | 1YR | 3YR | 5YR | Alltime |
| SNX | 0.04 | 3.87 | -0.44 | -5.19 | 64.58 | 0.00 | 77.86 | 172.45 | 119.47 | 1,775.64 |
| SPY | -0.39 | 0.41 | -0.15 | 1.99 | 13.01 | 0.00 | 19.97 | 77.95 | 82.53 | 2,299.90 |
Historical Average Returns (%)
Daily
Weekly
Average Returns (%) per day
Monthly Seasonality
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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