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
- Robinhood Markets, Inc. (HOOD) Invests $75 Million in OpenAI: What Investors Should Know
- Elevance Health Exceeds Q1 Earnings Expectations with Surge in Net Investment Income
- AMD Faces Margin Contraction Despite Growth Outlook
- SK Hynix Shatters Records Amid AI Boom
- Tesla CapEx Surge Impacting Stock; Intel Soars After Elon Musk Remarks
- TE Connectivity plc (TEL) Reports Strong Q2 2026 Earnings, Beats Estimates
- Masco Stock Surges 12% After Earnings Beat Signals Strong Remodeling Demand
- Best Buy's New CEO Faces Challenges Amid Sluggish Sales and Stock Performance
- Enterprise Financial Services Corp and Other Companies Report First Quarter 2026 Results
- Important Securities Class Action Deadlines for Multiple Companies
- Stock Market Updates: Q1 2026 Earnings Reports and Partnerships Overview
- NVIDIA CEO Jensen Huang Touts Unmatched Performance Amidst Competition
- Gold Prices React to U.S.-Iran Cease-Fire, Analysts Warn of Inflation Concerns
- SpaceX's Billion Dollar Deal with Cursor Sparks Speculation and Excitement
- United Airlines CEO Optimistic About Strong Economy Amid Rising Fuel Costs
- Boston Scientific Soars After Exceeding Q1 Earnings Expectations And Adjusting Growth Projections
- IBM (IBM) Q1 Earnings: Analysis of Key Metrics and Market Response
- GE Vernova Inc. Soars to Record Highs After Blowout Q1 Earnings
- Anthropic's Mythos Model: Security Breach and Global Concerns
- AT&T Shines with Strong Q1 Earnings Despite Investor Concerns
- Exclusive: US Intercepts Three Iranian Oil Tankers in Asian Waters
- Apple TV App Protection, Berkshire Hathaway Positions, Apple Bug Fix, New Apple CEO, Dell vs. Apple AI Stocks
- ServiceNow Surpasses Q1 Earnings Estimates Amid Margin Concerns
- Strong Q1 Earnings Signal Bright Future for Boeing
- Q1 2026 Financial Report Roundup
- Global Investment and Sustainability Symposium Highlights Emerging Trends in Various Industries
- Google Unveils New AI Updates and Chips at Cloud Next Conference
- Tesla Announces $25B Increase in CapEx for 2026: A Deep Dive into Where the Money is Going
- Apple’s CEO Transition and Multiple Compression Catalyst
- Boston Scientific Corporation Faces Securities Class Action Deadline
- Boeing Posts Upbeat Q1 Results, Dow Surges Over 400 Points
- Merck and Google Cloud Collaborate on Agentic AI Enterprise Transformation
- Unauthorized Access to Anthropic's Mythos AI Model Raises Concerns
- Google's Push for AI Dominance Continues with New Chips and Partnerships
- Traders Bet $430 Million on Lower Oil Price Before Trump Ceasefire Extension
- Latest Global Sustainability and Financial Reports from Leading Companies
- SOLUSD Recent News Highlights
- ADAUSD Recent News Highlights
- XRPUSD Recent News Highlights
- ETHUSD Recent News Highlights
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