Average investors can learn some valuable lessons from these two legends.
Form 13Fs allow investors to track which stocks Wall Street's smartest fund managers have been buying and selling. Aug. 14 was the deadline for thousands of institutions and asset managers, including several well-known billionaire investors, to file their 13Fs covering second-quarter trading activity.
Stanley Druckenmiller ran Duquesne Capital for 30 years, generating phenomenal average annual returns in the process. Druckenmiller sold two big winners in the second quarter and piled into two companies viewed as leaders in robotics.
Elon Musk just publicly declared Delta's Wi-Fi strategy a slow-moving disaster, and 50,000 people agreed. But the real question is whether angry posts on X translate into something Delta's finance team actually has to worry about.
An Amazon drone dropped a Texas woman's package into her backyard pool. Lindsey Austen told BI she didn't think she selected Amazon's Prime Air drone delivery option.
Years of inflation, promotions, personalized discounts and constantly shifting online prices have made shoppers better at finding deals. They have also made it harder for shoppers to know what anything is supposed to truly cost, a fact that is being sharpened against a backdrop of weakening shopper confidence and a globally softening macro environment.
Ackman sold shares of Amazon and Alphabet while buying shares of Microsoft and Meta Platforms.
Amazon has launched an education program for college students centered around its cloud computing business. Student Rewards on AWS (Amazon Web Services) Builder Center, gives students access to earn AWS, 12 months of premium Skill Builder, and an AWS Certification Foundational exam voucher as they learn, build and connect in the community, the company announced Thursday (Aug. 20).
Its AWS cloud business has a backlog stretching nearly three years at its current run rate. Amazon is spending big to fulfill computing demand -- and that looks like the right move.
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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