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
- Investigation Alert: BellRing Brands, Inc. Faces Scrutiny from Multiple Law Firms
- Lemonade (LMND) Q2 2025 Financial Results Summary
- Leidos Holdings, Inc. Reports Strong Q2 Earnings and Raises Full-Year Guidance
- CrowdStrike Set to Release Fiscal Second Quarter 2026 Financial Results
- Navigating the GLP-1 Storm: Analyzing the Impact on Various Healthcare Companies
- Arista Networks Inc (ANET) Reports Strong Q2 2025 Financial Results
- The Rise of Dividend Stocks and Energy Sector Updates
- Sally Beauty Holdings Reports Strong Q3 FY2025 Earnings
- Lucid Group Reports Q2 Loss, Announces Strategic Partnerships, and Updates Production Forecast
- Jacobs (J) Reports Strong Q3 Earnings, Beats EPS Estimates
- Zebra Technologies: Profiting from Automation and AI
- Recent Class Action Lawsuits Filed Against iRobot Corporation
- Investors Alerted to Join Inspire Medical Systems, Inc. Fraud Investigation
- Disney Earnings Preview: What the Experts are Saying
- Sable Offshore Corp. Investors Urged to Take Legal Action Before Deadline
- Securities Lawsuits Filed Against 3D Systems Corporation Investors
- DuPont de Nemours, Inc. (DD) Q2 2025 Earnings Report Highlights Strong Performance
- Molson Coors Cuts Outlook Due to Trump Tariffs on Aluminum
- Rivian Automotive Reports Q2 Loss, Beats Revenue Estimates
- Rocket Pharmaceuticals, Inc. Faces Securities Fraud Lawsuit: Investors Urged to Take Action
- Nvidia Slumps Amid Tariff Concerns Despite Fund Confidence
- Lockheed Martin Corporation Investors Encouraged to Pursue Class Action Lawsuit
- Investor Alert: Lineage, Inc. faces Class Action Lawsuits after Stock Decline
- Henry Schein (HSIC) Q2 Earnings Review: Revenues Beat Expectations, EPS Falls Short
- Flywire Corporation (FLYW) Facing Securities Class Action Lawsuits Following Q2 Earnings Report
- Investors Encouraged to Join Securities Class Action Against Fiserv, Inc. Before Important Deadline
- Oil Market Update: Price Forecasts, Global Trade Issues, and Geopolitical Tensions
- Marriott Adjusts Full-Year Forecast as Travel Demand to US Weakens
- Analyzing the Healthcare Stocks of UnitedHealth vs. Centene
- Zoetis CEO Discusses Q2 Earnings and Tariff Impact on Business
- Gartner Stock Tumbles 27.6% Amid Market Turbulence
- Fox One Streaming Service Launch Date and Pricing Announced Alongside Strong Q4 Earnings
- Snap (SNAP) Q2 Earnings Analysis: Key Metrics, Estimates, and Market Impact
- Vestis Investors Receive Urgent Deadline Reminders from Multiple Law Firms
- BP's Major Oil Discovery Signals Renewed Investor Confidence
- Microsoft Dominates AI Infrastructure Market with Impressive Revenue Growth
- Yum Brands Q2 Earnings: A Deep Dive into Key Metrics, Estimates, and Market Reactions
- Super Micro Computer (SMCI) Q4 Earnings Fall Short of Expectations
- Quantum Tech News: Key Developments in the Quantum Computing Sector
- Amazon's Margin-Heavy Era: A Stock News Summary
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