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 Index Funds - NUGT, LABU, IVV, JNK
- Top gainers in Human Evolutions Stocks - WVE, UPRO, EXTR, DBEU, PSET
- Top gainers in Household Items Stocks - BYND, COST, UNFI, PEP, UL
- Top gainers in Holiday Companies - GOOG, AMZN, JWN, DLTR, EBAY
- Top gainers in Health and Wellness - PTON, UA, NKE, FL, HIBB
- Top gainers in Green Energy - TSLA, BLDP, NEE, LNG, RUN
- Top gainers in Gold & Silver Stocks - AU, FMS, GNL, AGGY, KAI
- Top gainers in Gig Economy - DASH, FVRR
- Top gainers in Get Fit - PTON, UA, NKE
- Top gainers in Garden and Home - PTON, AMZN, PINS, LMND, HD
- Top gainers in Gaming Stocks - NCTY, GRVY, MSFT, EVRI, SE
- Top gainers in Future of technology ETFs - ITEQ, FIVG, CLOU, DTEC
- Top gainers in Future of Learning - PSO, MSFT, NNI, LOPE
- Top gainers in Future Communications Stocks - WST, FIXD
- Top gainers in Freight Market Suppliers/OEM - VOD, MXL, QLYS, DXC, FIDI
- Top gainers in Freight Market Seaborn - PRPO, ASA, NGD, MIND, SPNS
- Top gainers in Freight Market Rail - NLY, COR
- Top gainers in Freight Market Air - INTC, AAPL, SMTC, KEYS, QRVO
- Top gainers in Freight Market 3PL - REGN
- Top gainers in Founder Led Companies - PLTR, SQ, TSLA, TWLO, SHOP
- Top gainers in Focus on Recycling - RSG, CWST
- Top gainers in Focus on Privacy - OKTA, RDWR, ZS, QLYS, TENB
- Top gainers in Fintech ETFs - MILN, ARKF, IPAY, FINX
- Top gainers in Financial Technology - SQ, UPST, FOUR
- Top gainers in FAANG Stocks - META, GOOG, AAPL, AMZN, NFLX
- Top gainers in ETFs - GDX, PPLT, SLV, CPER, WEAT
- Top gainers in Entertainment Stocks - SNAP, AAPL, CNK, AMZN, NFLX
- Top gainers in Entertainment Kings - PARA, NFLX, SPOT
- Top gainers in Electric Vehicles - NKLA, BLNK, TSLA, DRIV, TM
- Top gainers in Education World - LAUR, ATGE, LOPE
- Top gainers in E-Commerce Companies - MELI, CPNG, SHOP, AMZN, SE
- Top gainers in Drinks - FARM, STZ, FIZZ, MNST, PEP
- Top gainers in Dow 30 Stocks - AAPL, PDFS, UMH, VZ, BA
- Top gainers in Diversity and Inclusion - SFIX, LLY, ABT, SYK, ADBE
- Top gainers in Disruptive Tech ETFs - ITEQ, FIVG, SNSR, ARKF, DTEC
- Top gainers in Disease-fighting Companies - MRNA
- Top gainers in Defense Stocks - ESLT, VSEC, KTOS, SPR, BA
- Top gainers in Cyber Security Stocks - STE, AJG
- Top gainers in Cybersecurity - NET, OKTA, ZS, S, CRWD
- Top gainers in Crypto Companies - RIOT
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.
Or start with