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Market News
Momentum, trend quality, reversal, volume, volatility. Click a headline to read it — the arrows walk the list.
Screens
- Broad Downside Alignment on 10 DFM Names
- Advancers on Thin Trading: 7 DFM Names
- Thursday Moving-Average Scan: 4 DFM Names Still Aligned
- 7 DFM Names Up, but the Tape Is Thinner
- DFM Names With Quiet Gains Over Twelve Months: 8
- 10 DFM Stocks Where Every Average Reads the Same Way Down
- 9 DFM Names Where the Chart Averages Point Together
- 5 DFM Stocks That Have Held Their Two-Year Advance
- 4 DFM Gainers With Trend Confirmation and Sector Tags
- 5 Names on DFM Below Every Major Average
- Mashreqbank Leads 5 Names Up Over Three Years on DFM
- 8 DFM Stocks Showed a Low-Dispersion Rise
- Broad Technical Deterioration on 8 DFM Names
- DFM: 7 Stocks with Moving Averages on the Same Side
- Where in DFM Are Two-Year Gainers Still Intact?
- Which Names on DFM Are Climbing From a Deep 200-Day Discount?
- Financial Services Tops the Broken-Chart List on DFM With 4 Names
- How Many DFM Stocks Gained With Limited Dispersion? 8
- 7 DFM Stocks With a Clear Technical Downside Bias
- Two-Year Strength Still Showing in 6 DFM Names
- 10 DFM Stocks Have Doubled or Better Over Five Years
- How Many DFM Stocks Cleared the Three-Year Return Filter?
- Where DFM Momentum Stayed Measured: 4 Stocks
- 4 DFM Stocks Up Over a Year and Still Rising
- DFM's Weakest Technical Structures
- 4 DFM Names With Low Volatility and Positive Momentum
- 4 DFM Names Made the Cut on One-Year Strength
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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