与「Stocks」相关的搜索结果

🚨 THIS IS WHY BITCOIN KEEPS CRASHING BELOW $67,000 If you still think Bitcoin trades like an asset whose price is determined purely by spot supply and demand, you need to read this carefully. Because that market no longer exists. What you’re watching right now is NOT normal price action. This isn’t just an AI stock sell-off. This isn’t just hotter inflation. And this definitely isn’t retail suddenly deciding to dump Bitcoin at the exact same time. Most people have no idea what is actually happening. And by the time it becomes obvious, the damage is usually already done. This didn’t start today. It has been building underneath Bitcoin for YEARS. And now it’s accelerating. Here’s the truth: Bitcoin still has a hard cap of 21 MILLION coins. But Wall Street can create almost unlimited financial EXPOSURE around those coins. That distinction changes everything. Because once derivatives dominate short-term price discovery... Bitcoin stops trading purely on who wants to own the actual coins. It starts trading on: 1) LEVERAGE. 2) HEDGING. 3) MARGIN. 4) LIQUIDATIONS. 5) FORCED SELLING. And that is exactly what is happening right now. It’s the same mechanism that repeatedly drives violent moves in: → Gold → Silver → Oil → Stocks Once derivatives become large enough, spot buyers are no longer the only force setting the price. And this is the part almost nobody understands: Bitcoin’s scarcity didn’t disappear. But scarcity alone no longer controls the SCREEN PRICE. Wall Street built an entire financial layer on top of Bitcoin: → Cash-settled futures → Perpetual contracts → Options → ETFs → Broker lending → Swaps → Wrapped BTC The 21 million cap controls the COINS. It does NOT cap the amount of leveraged exposure that can be created around them. And once that leverage starts unwinding... The market doesn’t care what the long-term thesis is. It SELLS. Look at what just happened: Over $1.9 BILLION in leveraged crypto positions wiped out in 24 hours. More than $1.1 BILLION liquidated in Bitcoin alone. Spot Bitcoin ETFs have already seen roughly $1.9 BILLION in outflows this month. Once leveraged selling overwhelms real buyers, price stops responding only to long-term demand. It starts responding to positions. Hedging. Margin calls. And cascading liquidations. Wall Street does not need to own millions of physical Bitcoin to push the market around. It only needs enough derivatives exposure and enough leverage sitting in the wrong place. The playbook is brutally simple: 1st: Build enormous leveraged exposur 2nd: Push price through obvious liquidity 3rd: Trigger stops and liquidations 4th: Forced selling pushes price even lower 5th: Buy back into the panic 6th: Repeat THIS is why Bitcoin can lose thousands of dollars while the number of coins on-chain barely changes. The coins didn’t suddenly disappear. The PRICE DISCOVERY mechanism changed. That’s what people are missing. Bitcoin is still scarce. But the financial claims built around Bitcoin are NOT. And when leverage controls the marginal trade... 21 million coins can behave like a market with FAR more supply than 21 million coins. That’s not the Bitcoin market retail thinks it is trading. That’s a WALL STREET PRICING SYSTEM built on top of Bitcoin. You can choose to ignore it. But don’t pretend nobody warned you. Bitcoin is now trading around $66,600, its lowest level since August and roughly 48% below the $126,200 high. If $65k breaks, the next level I’m watching is $62k. Reminder: I called the Bitcoin top at $126,000 and told you to start buying again around $60,000. The next call will matter even more. When I EXIT the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

50 Sites That Show What Billionaires Buy and Read for Free🤯 1.) → Current portfolios of famous investors 2.) → Quarterly fund trades 3.) → Stock transactions of US politicians 4.) → Executives' own company stocks 5.) → Making fund filings readable 6.) → Companies' official reports 7.) → Buffett's letters since 1977 8.) → Video archive of Buffett meetings 9.) → Howard Marks' investor memos 10.) → Research from Ray Dalio's firm 11.) → Dalio's principles for free 12.) → Jeremy Grantham's market notes 13.) → Quantitative fund research 14.) → Damodaran's valuation data 15.) → Valuation professor's blog 16.) → Morgan Housel's money writings 17.) → Mental models for decision-making 18.) → JPMorgan's free market guide 19.) → Innovation-focused fund research 20.) → Venture capital essays 21.) → Value investing lecture notes 22.) → Columbia's value investing archive 23.) → Fed's economic data archive 24.) → Fed decisions and statements 25.) → European Central Bank data 26.) → Reports from the central bank of central banks 27.) → Countries' economic indicators 28.) → Companies' long-term charts 29.) → Company financials for free 30.) → Companies' market cap rankings 31.) → Stock screener and heat map 32.) → Portfolio backtesting 33.) → Charts and market analysis 34.) → Professional market screener 35.) → Company activity reports archive 36.) → SEC's investor education site 37.) → Passive investing encyclopedia 38.) → Financial terms dictionary 39.) → Free finance guides 40.) → CFA research publications 41.) → Fund and stock evaluations 42.) → Companies' visual analysis 43.) → Archive of selected investment theses 44.) → Seeing what's inside funds 45.) → European fund backtests 46.) → Investment writings with data 47.) → Market history notes 48.) → Investor psychology writings 49.) → Explaining the economy with charts 50.) ourfiniteworld? → (see note) The rich don't hoard information. They just don't tell you where it is. Save it, follow @Liyana_Coder you'll need it. Not investment advice. @Liyana_Coder

🧵 BNB Chain Recap Last 24H 1/ DeFi & Trading • @Aster_DEX → added Spot trading support to Aster Vault alongside Perps. • @lista_dao → added 5 new bStocks as collateral to Lista Lending, alongside new USDC and fixed-rate lending markets. • @pancakeswap → launched a MAG7Xon Syrup Pool with Ondo, distributed Ondo Intelligent Portfolio tokens to eligible traders, and expanded to 8 additional chains with an 88% LP fee share. • @VenusProtocol → enabled stablecoin borrowing against 20 tokenized stocks and ETFs through Venus Spoke. 2/ AI & Infrastructure • @flapdotsh → integrated Binance Account Bound (BAB) Token into its Agent ID Launch bonding curve. • @pieverse_io → introduced Confidential Agents, protecting agent memory and credentials using Intel TDX and Google Confidential Space. 3/ Rewards & Community • @predictdotfun → opened Season 1 $PREDICT airdrop claims, offering 35% instant unlock or 100% vesting over 12 months, starting November 18.

Meet the backers helping us build DI. We’re proud to introduce our investors: OKX Ventures, Lingfeng, DraperDragon, W3 Storage Lab, DepinX, Central Pinnacle Technology Limited, and individual investors. Our latest funding round closed at a $100M valuation. We believe everyone should have access to a team of financial AI agents that helps them explore ideas, challenge assumptions, and make sense of the markets. That’s the future we’re building at DI: a user-owned AI financial agent network for U.S. stocks and crypto. First up: Event Engine, launching soon. Bring a market question. Our specialist agents will explore what could happen next, where they agree, where they disagree, and why. Thank you to our investors and community for building with us.

If you're under 49, I'll say this only ONCE. CEO $NVDA Jensen Huang says normal people will be millionaires buying AI bottleneck stocks EARLY. Here's 8 stocks that can still 15x: 1.$MRVL

Multi-agent workflows have a scaling problem! The agents inside the same workflow rarely need the same amount of capacity at the same time. Say you have a planner, multiple research agents, and a final synthesis agent. The planner might finish quickly while requests start piling up behind one of the research agents. Scaling the entire application would add capacity everywhere, even though only one part of the workflow actually needs it. CanyonOS is an open-source, workflow-aware platform for multi-agent Python applications and the harness between your agents. Each agent runs as a separate service with its own queue and replica limits, so the busy research agent can get additional capacity while the planner and synthesis agents stay where they are. It also handles communication between the agents and gives you visibility into what happens across the workflow after a request comes in. CanyonOS records the path a request took, including the agents it called, parallel branches, model usage, execution time, and estimated model costs. And you don't need to add tracing decorators or a separate instrumentation SDK throughout your agent code. You still integrate the workflow with CanyonOS, but tracing is handled at the platform layer. I also ran a multi-agent portfolio analysis workflow through it with separate agents working across three stocks. A single request produced 10 traceable steps across the workflow, and I could see which agents ran, where the LLM calls happened, how long each stage took, and the estimated model cost. For multi-agent applications, being able to operate each agent independently while still seeing the complete execution path becomes much more useful as the workflow grows. CanyonOS is open source. Link to the GitHub repo in the comments!

🚨 The next 36 hours could turn into a nightmare for global markets. Three major things are coming together, and any one of them could trigger another massive selloff. FIRST, NVIDIA. Rumors are growing that Jensen Huang could be removed as CEO. Nothing is confirmed, but if NVIDIA loses the man who built the company, it could seriously damage confidence in the entire AI trade. And right now, AI stocks are the biggest drivers of global markets. SECOND, BITCOIN IS FACING ANOTHER MAJOR THREAT. MSCI will exclude Strategy and other crypto treasury companies from its indexes, forcing index funds to sell their shares. Meanwhile, STRC is trading below its $100 target price, making it harder for Strategy to raise fresh money through that route to buy more Bitcoin. That could put one of Bitcoin's biggest corporate buyers on the sidelines. THIRD, TOMORROW'S PPI INFLATION REPORT. CPI has already come in hotter than expected. Another inflation surprise could increase fears of a larger Fed rate hike. And with the US-Iran conflict still unresolved and Trump calling for no deal with Iran, markets are already dealing with enough uncertainty, and any surprise could be a disaster.

You just can’t make this up Rep. Ro Khanna sold Nvidia $NVDA perfectly at the top One month later, CEO Jensen Huang admitted to an affair with a suspected Chinese spy $NVDA is down 26% since Khanna sits on the House committee that investigates China’s attempts to steal US tech To be fair, he's said his trades are run by a 3rd-party But he's also stated “Members of Congress should not be trading stocks”

U.S. stocks pulled back from record highs on Oct. 7 as Treasury yields and oil prices rebounded. The Nasdaq and S&P 500 slipped, while the Dow fell about 500 points in early trading, according to market coverage. The 10-year Treasury yield reached its highest level in 24 years. Investors were also watching for the Federal Reserve’s meeting minutes, with Wall Street futures pointing lower before the opening. The pullback followed a recent technology-led rally.

New bStock Listing. Trade: JPMB/USDT, LLYB/USDT, SECZB/USDT and USDEB/USDT 24/7 access. 1:1 free and instant exchange for actual stocks on Binance. Exchange the World, one market at a time. Read more 👉