President Donald Trump has disclosed over 20,000 stock trades made over the past 12 months. The trades, which the White House says Trump has no knowledge of, span a wide range of sectors and dollar amounts.
Alphabet is poised to get the largest share of Anthropic's cloud infrastructure spending over the next decade. Amazon and Anthropic are working together on Project Rainier, a massive data center complex that uses nearly 500,000 AWS chips.
SpaceX's revenue is a small fraction of that of its megacap counterparts. The company briefly had a larger market cap than Amazon and Microsoft as its price-to-sales ratio surged to above 110.
Amazon's delivery vehicles are making New York City's streets more dangerous, new data suggests. The report came with the endorsement of city officials leading a crackdown on delivery services.
Anthropic is betting $518 billion that limited computer capacity will be the AI industry's main issue, not demand.According to a secret IPO prospectus acquired
Warren Buffett and Bill Ackman have both invested in AI hyperscalers during the past year. The reasons Buffett gave for liking Alphabet aligned with a statement Ackman made earlier in the year.
Launched in 2005 as a platform where human workers could perform quick digital chores that early software couldn't handle, the marketplace became a fixture for researchers, remote freelancers, and data labelers worldwide — and its exit is triggering a wave of nostalgia and anxiety across online forums.
AWS is growing faster and minting higher margins than almost any business Amazon has ever built, yet the stock sits well below what that trajectory implies.
Amazon (AMZN), the commerce and cloud company, highlighted a fresh batch of AI tools in its September 28 AWS roundup. Shares fell about 0.28% to $245.46 at 10.0
Amazon's stock sits below its old peak, and most investors treat that gap as a warning. A closer look at what is actually driving the business suggests the market may be pricing a company that no longer exists.
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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