Amazon (AMZN) is preparing to retire Mechanical Turk, ending a 21-year run for the crowdsourced work platform on Sept. 30.The service was introduced in 2005 to
Plus: Canada plans retaliatory tariffs of up to 50% on U.S. imports; Persian Gulf shipping insurance costs surge higher.
Amazon plans to expand fulfillment and same-day delivery in Canada. Amazon was already changing some sourcing decisions to avoid tariffs.
Amazon.com continues to dominate global e-commerce and cloud infrastructure while generating significant net income. e.l.f. Beauty is expanding its market share through rapid revenue growth and a strong multi-brand retail presence.
These two stocks are no-brainer buy and holds for the next decade.
Amazon announced it's shuttering Mechanical Turk, a platform that matches workers with small digital tasks, on Sept. 30. The platform launched in 2005 as a way to farm out tasks that are easy for humans to complete but too challenging for computers.
Amazon's share of U.S. clothing spending has doubled since 2019 while Walmart's has edged lower, a six-year divergence that was still widening during the first half of 2026. PYMNTS Intelligence estimates that Amazon accounted for 17.0% of U.S. clothing spending in 2025, compared with 8.5% in 2019.
By dominating the high-margin enterprise sector, Anthropic has become the leading AI lab ahead of its late 2026 public market debut.
Amazon (NASDAQ:AMZN | AMZN Price Prediction) has spent much of 2026 in the shadow of flashier AI names, but the Q2 print made clear that Andy Jassy is running one of the highest-velocity AI franchises in the market.
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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