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Market News
Big moves, why they moved, pre- and post-market. Click a headline to read it — the arrows walk the list.
Movers
- Pre Market Movers: 5 Growth Stocks Poised to Beat Earnings Expectations
- Dubai DFM Most Active By Traded Value - EMIRATESNBD.DFM,DIB.DFM,EMAAR.DFM,SALIK.DFM,DEWA.DFM
- Dubai DFM Top Volume Leaders - UPP.DFM,SALIK.DFM,EKTTITAB.DFM,DIB.DFM,DEWA.DFM
- Dubai DFM Top Losers - NIH.DFM,ALSALAMSUDAN.DFM,EKTTITAB.DFM,UPP.DFM,DTC.DFM
- Dubai DFM Top Gainers - ARMX.DFM,SHUAA.DFM,TECOM.DFM,ITHMR.DFM,ERC.DFM
- Post Market Movers: Investing in the Future: 3 Stocks to Buy for the Age of Personalized Medicine
- Post Market Movers: Uncovering Undervalued AI Stocks in a Booming Market
- Dubai DFM Most Active By Traded Value - EMIRATESNBD.DFM,DIB.DFM,EMAAR.DFM,SALIK.DFM,DEWA.DFM
- Dubai DFM Top Volume Leaders - UPP.DFM,SALIK.DFM,EKTTITAB.DFM,DIB.DFM,DEWA.DFM
- Dubai DFM Top Losers - NIH.DFM,ALSALAMSUDAN.DFM,EKTTITAB.DFM,UPP.DFM,DTC.DFM
- Dubai DFM Top Gainers - ARMX.DFM,SHUAA.DFM,TECOM.DFM,ITHMR.DFM,ERC.DFM
- Post Market Movers: Snowflake Stock Analysis: Is it a Buy Now?
- Dubai DFM Most Active By Traded Value - EMIRATESNBD.DFM,DIB.DFM,EMAAR.DFM,SALIK.DFM,DEWA.DFM
- Dubai DFM Top Volume Leaders - UPP.DFM,SALIK.DFM,EKTTITAB.DFM,DIB.DFM,DEWA.DFM
- Dubai DFM Top Losers - NIH.DFM,ALSALAMSUDAN.DFM,EKTTITAB.DFM,UPP.DFM,DTC.DFM
- Dubai DFM Top Gainers - ARMX.DFM,SHUAA.DFM,TECOM.DFM,ITHMR.DFM,ERC.DFM
- Post Market Movers: PVH vs. COLM: Analyzing the Better Value Stock
- Post Market Movers: Enovis to Host Fourth Quarter and Full Year 2023 Conference Call on February 22nd
- Post Market Movers: Pure Storage's Strong Financial Position and Valuation Dynamics
- Post Market Movers: Lazard's Ron Temple Predicts May as Most Likely Case for First Fed Rate Cut
- Post Market Movers: Snowflake Inc. Breaks Resistance, Signaling Momentum Shift
- Post Market Movers: Salesforce Layoffs: Impact on Stock and Company Growth
- Top gainers in Women in Charge - KSS, SYF, REAL, ZTS, SAIC
- Top gainers in We Build Homes - HOV, CVCO, LEGH, HOMZ, TOL
- Top gainers in We are retailers - KSS, W, HIBB, AEO, JWN
- Top gainers in We are Restaurants - CBRL, NATH, JACK, NDLS, ARKR
- Top gainers in Water World - CDZI
- Top gainers in Wast Management - SRCL, CWST, WCN, RSG, CLH
- Top gainers in Warren Buffett Top Stocks - AXP, WFC, KO, BAC
- Top gainers in Video Game Stocks - EA
- Top gainers in US Streaming Companies - CMCSA, DIS, ROKU
- Top gainers in US Shipping Stocks - CHRW
- Top gainers in US Onshore Drilling Companies - PXD, RRC
- Top gainers in US Airline Stocks - JBLU, ASR, SKYW, PAC, OMAB
- Top gainers in TOP US - Utilities Companies - NGG, D, NEE, ETR, DUK
- Top gainers in TOP US - Technology Companies - META, GOOG
- Top gainers in TOP US - Real Estate Companies - BAM, PLD
- Top gainers in TOP US - Industrials Companies - DHR, BA, GE, MMM
- Top gainers in TOP US - Healthcare Companies - UNH, MRK, AMGN, NVS
- Top gainers in TOP US - Financial Services Companies - WFC, MA, BAC
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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