Newsroom
Market News
Both sides of the trade, grades and news round-ups. Click a headline to read it — the arrows walk the list.
Research
- Sandisk Stock: A Success Story in the Making
- Two Stocks to Watch After Strong CPI Report: DOW, GLP
- North Korean Hackers Target US Tech Companies: CrowdStrike Report
- Securities Fraud Investigations on Several Companies and Shareholder Rights
- Veritone, Inc. Securities Class Action Alert
- Post-Restructuring Strategic Focus on Argentina Lithium Brine Assets
- Lucid Group (LCID) Faces Securities Fraud Lawsuit Amid Stock Dip
- Investor Rights Law Firm Investigates Securities Class Action Claims
- Intel Stock News: Partnerships, AI Buildout, and Market Correction
- Core & Main Faces Stock Drop Despite Strong Revenue in Q1 FY26
- Caterpillar Inc. Stock News Update: Dividend Increase, Market Decline, and Future Outlook
- Investors Have Opportunity to Lead Badger Meter Securities Fraud Lawsuit
- Analyzing Broadcom Stock: What Investors Need to Know
- Gold Plummets Toward $4,000 Amid Economic Factors
- GeneDx Holdings Facing Securities Fraud Class Action and 49% Stock Decline
- Commvault Systems Faces Securities Class Action Amid Market Growth
- Robinhood Markets Soars on IPO Underwriting Approval
- AI Stock News Update: Google Features, Meta Platforms Trial, and Blackstone's Role
- Verra Mobility Corporation Facing Securities Class Action Lawsuit
- Deadline Approaching for PicS N.V. Investors to Join Class Action Lawsuit
- Securities Class Action Alert for GRAIL, Inc. Investors
- Cracker Barrel Stock Surges 23% on Strong Sales Forecast Amid Logo Controversy Resolution
- Chip Stocks Update: AMD, Intel, and NVIDIA Face Sell-Off Pressure
- Morgan Stanley's Key Insights and Market Updates at Financials Conference 2026
- Anthropic CEO Advocates for Government Regulation of AI Models
- Geopolitical Tensions Drive Oil Prices Up
- Stock Market Roundup: Nvidia's Impact on Various Sectors
- The High-Risk Income Bet on Palantir: PLTY ETF and Palantir's Position in the AI Market
- The Market's Misguided Perception of Meta's AI Investments
- Investing in the Future: Latest Developments in Outpatient Care, Digital Partnerships, and Financial Reports
- Tesla Faces Challenges Amidst Market Volatility
- Chewy, Inc. (CHWY) Q1 2027 Earnings Report Analysis
- Micron, Intel Tech Sector Bearish Phase: AI Trade Correction Analysis
- Roblox Corporation Investors Urged to Seek Counsel Before Deadline in Securities Class Action
- Microsoft's Xbox Division Plans Major Layoffs and Budget Cuts
- Amazon Secures $17.5 Billion Credit Facility Amid AI Infrastructure Race
- Stock Market Dive: Super Micro Computer (SMCI) Plummets After $7 Billion Equity Raise
- Global Compliance Announces Private Placement Financing and Other Company Updates
- Oracle (ORCL) Q4 Earnings Report: A Deep Dive into Financial Metrics
- SpaceX IPO Impact on Investors
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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