Newsroom
Market News
Big moves, why they moved, pre- and post-market. Click a headline to read it — the arrows walk the list.
Movers
- Top gainers in Entertainment Stocks - IMAX, ROKU, AAPL, WYNN, AMZN
- Top gainers in Entertainment Kings - ROKU, DIS, NFLX
- Top gainers in Electric Vehicles - TM, GM, GM, HMC, F
- Top gainers in Education World - LINC, APEI, ATGE, STRA, LRN
- Top gainers in E-Commerce Companies - ETSY, EBAY, AMZN, MELI, SHOP
- Top gainers in Drinks - FARM, STZ, TAP, PEP, KO
- Top gainers in Dow 30 Stocks - MOV, PCH, MOFG, CROX, AAPL
- Top gainers in Diversity and Inclusion - LOW, ACN, LLY, ADBE, MA
- Top gainers in Disruptive Tech ETFs - ITEQ
- Top gainers in Disease-fighting Companies - MRNA
- Top gainers in Defense Stocks - DFEN, OSIS, TDG, TDY, VSEC
- Top gainers in Cyber Security Stocks - TRS, STE, AJG
- Top gainers in Cybersecurity - NET, FTNT
- Top gainers in Creative Solutions and Designs - ADBE, NKE, AAPL, ETSY, F
- Top gainers in Coronavirus Stocks - CERS, BCRX, APT
- Top gainers in Consumer Staples Stocks - MDLZ, STZ, CL, PG, MO
- Top gainers in Cloud and Storage Stocks - TWLO, ADBE, MSFT, AMZN, VEEV
- Top gainers in Clothing Companies - GIL, ZUMZ, GCO, GIII, JILL
- Top gainers in Clean Power & Energy Stocks - SNFCA, CRVL, SCHD, TOLZ, XONE
- Top gainers in Chip Stocks - NVR, AVGO
- Top gainers in China Stocks - WVVI, SLCA, PFFD, CTAS, WDIV
- Top gainers in China emerging markets stocks - EDU, MFC
- Top gainers in Chemicals Stocks - TG, LXU, BAK, GPRE, HDSN
- Top gainers in ChatGPT Stocks - NVDA, MSFT, IBM, AMZN, CRM
- Top gainers in Cannabiz pot stocks - CRBP, CRON, STZ, SMG, ABBV
- Top gainers in Business Development Companies (BDCs) - OCSL, PSEC, HTGC, FSK
- Top gainers in Blue Chip Stocks - MSFT, BA, ABBV, MMM
- Top gainers in Blockchain Technology Companies - NVDA, IBM, AXP
- Top gainers in Blockchain stocks - ISUZY, FLGT
- Top gainers in Bitcoin Resurgence ETFs - NVDA, MSFT, IBM, AMZN, CRM
- Top gainers in Biotechnology and Gene Therapy - CRL, LLY, DHR, BIO, VRTX
- Top gainers in Big Oil Companies - COP, OXY, CVX, XOM, BP
- Top gainers in Big Energy Firms - DVN, HAL, SLB, COP, OXY
- Top gainers in Autonomous Vehicles - TM, UBER, ORLY, HOG, AZO
- Top gainers in Augmented Reality Stocks - AAPL, NVDA, MSFT
- Top gainers in ARK Top Holdings - EXAS, ROKU, TWLO, NTLA, ZM
- Top gainers in Anti-Inflation Stocks - CLX, LOW, DLTR, BMY, JKHY
- Top gainers in AI Companies - NVDA, UPST
- Top gainers in 5G Stocks - TG, SSL, XNCR, PTEN, WLK
- Top gainers in 5G Boom ETFs - XTL
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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