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
- US Stress Tests of Google, xAI and Microsoft AI Models Unveiled
- PayPal, Coinbase Announce Layoffs Amid AI Impact Uncertainty
- US Government Expands AI Program to Include Google, xAI, and Microsoft: Analysts React to Market Impact
- Apple Expands AI Model Choices for Users
- MSCI May Index Review and Global Market Updates
- AMD Surpasses Q1 Earnings and Revenue Expectations
- Palantir Technologies Q1 2026 Earnings Analysis: Surging Revenue, Competition, and Analyst Insights
- Bitcoin Treasury Firm Strategy Shifts Approach, Gold Rises as Trump Pauses 'Project Freedom', and AI Investments by SAP
- Dan Niles Gives Insight Into Top Tech Stocks; Apple's Strong Quarter and Strategic Moves
- Camping World Holdings, Inc. Securities Fraud Class Action Deadline Approaching
- Coinbase Implements Major Workforce Reduction Due to AI Technology and Market Conditions
- Pfizer (PFE) Reports Strong First-Quarter Earnings and Revenues
- Shareholder Lawsuits Filed Against Gartner, Inc. Amid Positive Financial Results
- Mining Sector Updates: LaFleur, Galantas, Royal Road, White Gold, Sow Good, Tertiary Minerals, Kodal Minerals
- Microsoft's Bullish Projections Prompted by Advances in Artificial Intelligence
- Dan Niles Unveils Top Tech Stocks; Amazon's $364B AI Potential; American Eagle's Unique Strategy
- FTSE 100 Index Slips Amid UK Bond Yield Surge and Disappointing HSBC Earnings
- Shifting Global Landscape: Recent Developments in Various Industries
- Palantir Stock Forecast and Earnings Review
- SOLUSD Recent News Highlights
- ADAUSD Recent News Highlights
- XRPUSD Recent News Highlights
- ETHUSD Recent News Highlights
- BTCUSD Recent News Highlights
- SanDisk Stock Surges Past Nvidia, Becoming S&P 500's Top Performer
- Stock News: Gemini Space Station (GEMI) Faces Securities Class Action Deadline
- Diamondback Energy (FANG) Exceeds Q1 Earnings Estimates: A Comprehensive Analysis
- Wall Street's $1.5 Billion Plan to Build the 'McKinsey of AI'
- Star Wars Celebrations, New Leadership, and Corporate Updates
- Power Solutions International, Inc. Faces Multiple Securities Class Action Lawsuits
- Cogent Communications Holdings, Inc. Faces Securities Fraud Investigation Amid Declining Revenue
- Micron Technology (MU) Continues to Soar: A Profitable Investment Opportunity in May 2026
- Investigating Securities Fraud Allegations Against Coty Inc.
- Gartner Faces Legal Troubles as Q1 Earnings Report Looms
- Potential Securities Class Action Against Camping World Holdings, Inc.
- Driven Brands Investors Urged to Lead Securities Fraud Lawsuit
- Alight, Inc. Facing Securities Fraud Lawsuits – Investors Encouraged to Take Legal Action
- Broadcom Inc. (AVGO) Update: AI Growth, Earnings Report, and Analyst Recommendations
- TCOM Investors Alerted to Securities Fraud Lawsuits by Various Law Firms
- Paramount Skydance Corporation (PSKY) Exceeds Q1 Earnings Expectations, Affirms Full-Year Outlook
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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