Newsroom
Market News
Momentum, trend quality, reversal, volume, volatility. Click a headline to read it — the arrows walk the list.
Screens
- 10 OTC Stocks Oversold and Trading Under Their 200-Day Average
- Where OTC Is Showing the Most Extended Charts
- Recovery Attempts on OTC: 10 Deeply Discounted Names Turning Up
- What Stands Out in OTC When CCI Runs This Low?
- OTC Shows 10 Stocks With Selling Pressure Still Dominant
- OTC's Three-Month Laggards: 10 Stocks, Led by FATAQ
- Which Names Pulled Ahead Over Three Months on OTC?
- Measured Moves on OTC: 10 Stocks Passed
- OTC Volume Leaders: 10 Screened Names
- Where Gains Met Volume on OTC: 10 Stocks
- More Movement on OTC: 10 Stocks Passed the Screen
- What Is Still Holding on OTC After an RSI Pullback?
- Which OTC Charts Are Deeply Oversold and Out of Trend?
- OTC's Small-Cap List: 10 Names Moving Sharply
- What the Trend Model Found on OTC: 10 Downward Names
- 10 Names on OTC With Strong Trend Readings
- OTC Leaders in the Large-Cap End: 10 Higher
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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