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🌐 Did SpaceX IPO fever trigger Bitcoin’s sharp drop this week?

⚠️ CryptoQuant data reviewed in the report showed no unusual withdrawals of USDC or Tether from exchanges during the selloff. The same data showed stablecoin movements stayed within the range seen since February. The debate started after Bitcoin price fell about 16% during the same period that SpaceX began marketing its planned public listing. Bitcoin briefly traded below $60,000 before moving back near $61,000, according to market data cited in the report.

πŸ”— Stablecoins usually offer the clearest public view of crypto traders moving into dollars. A trader who sells Bitcoin to prepare cash for a brokerage account may convert funds into USDC or Tether before redemption. CryptoQuant did not show a sharp break in that pattern. The report said the largest recent single-day stablecoin outflows came before the latest Bitcoin decline, with $2.5 billion in USDC on May 22 and $3.6 billion in Tether on May 20.

⚠️ At the same time, the report said Bitcoin and Ether saw large exchange withdrawals on Friday. CryptoQuant data showed 66,470 Bitcoin and about 2.49 million Ether left exchanges, among the largest single-day totals this year.
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The world takes the field. ⚽️

The Believer.
The Contender.
The Champion.

Chase the glory. πŸ†

https://www.coinex.com/ru/activity/trade-rank/84

#CoinExWorldCup
#FIFAWorldCup #ALLINTHEGLORY
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The World Cup is on. You are up. ⚽️
Join the Futures PNL Ranking and compete for a share of 15,000 USDT.

πŸ†Up to 2,000 USDT for the #1 trader
πŸ“ˆ Trade β‰₯1,000 USDT in Futures volume to qualify
πŸ—“ Jun 15, 08:00 – Jul 2, 08:00 (UTC)

Who will top the leaderboard? πŸ‘‰ https://www.coinex.com/ru/activity/trade-rank/84

#CoinEx
#CoinExWorldCup #WorldCup #ALLINTHEGLORY
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"Inaction kills faster than risk." β€” Owner 1win πŸ”₯

This is the mindset of the 1win Owner β€” the man who built a global empire and recently took home the Crypto Casino of the Year award.

In his private channel, he doesn't share corporate reports, but his outlook on life. Honest thoughts on crypto, breakdowns of global events, behind-the-scenes with global stars (from Canelo to Tyga), and the philosophy of constant growth.

It’s a space to see how people at the top of the industry actually think.

Read the 1win Owner's private notes β¬…
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➑️ The CLARITY Act’s real obstacle is not crypto. It is Trump’s crypto business

πŸ”– The CLARITY Act has the votes and the momentum to become law, having cleared the House and a key Senate committee. It is stuck anyway. The deepest reason is not crypto skepticism but a fight over the president’s own crypto empire, estimated in the billions, and whether the rules should restrain it.

‼️ The CLARITY Act is the bill the American crypto industry has wanted for years, the one that would finally settle how digital assets are regulated in the U.S., and by the ordinary logic of legislation it should be on a path to becoming law.

⚑️ It passed the House of Representatives with bipartisan support, cleared the Senate Banking Committee on a 15-to-9 vote, and was placed on the Senate calendar, formally eligible for a floor vote. The industry is mobilized behind it, with hundreds of companies urging passage, and analysts have spent the year handicapping when, not whether, it would be signed.
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πŸ”” How Prediction Markets Resolve: UMA Oracle Explained

⚠️ Billions of dollars in prediction market positions settle every month based on a machine for deciding truth that most traders have never examined. This guide explains how UMA’s optimistic oracle turns real-world events into on-chain payouts, why the system usually works, the cases where it has failed spectacularly, and the rival settlement designs trying to replace it.

βœ”οΈ That decision layer is called resolution, and it is the load-bearing wall of the entire sector. A prediction market is only as good as its ability to decide truth, and a blockchain cannot observe the real world. It cannot see who won an election, whether a company sold an asset, or whether a bill passed. The bridge between reality and the smart contract is an oracle, and for the largest on-chain prediction market, that oracle is UMA. Understanding how it works, and how it fails, is the single most useful piece of due diligence a prediction market trader can do.

🌐 Crypto solved one version of the oracle problem years ago. Price feeds from networks like Chainlink and Pyth deliver asset prices on-chain by aggregating data from many independent publishers. That works because prices are public, continuous, machine-readable, and available from dozens of redundant sources.
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➑️ Wall Street banks restrict staff trading on prediction markets

πŸ”” Major Wall Street banks are tightening employee rules for prediction markets as concerns grow over the use of confidential information on platforms such as Polymarket and Kalshi.

πŸ”– Goldman Sachs has prohibited employees from trading prediction contracts linked to financial markets, political events and other subjects that could create a real or perceived conflict with the bank, its clients or the financial sector. The policy reportedly covers macroeconomic data, elections, geopolitics and events involving Goldman Sachs. However, employees may continue trading contracts related to sports and entertainment. Repeated violations could lead to disciplinary action or the loss of profits from prohibited trades.

⚑️ Morgan Stanley has also included prediction market rules in its employee code of conduct, although the bank has not disclosed the full scope of those restrictions. Meanwhile, Bank of America recently gave employees clearer examples of banned activity. Its policy restricts contracts involving company-specific developments, macroeconomic data and financial services. JPMorgan’s existing rules prohibit staff from trading with confidential information, including through prediction markets.
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⚠️ The fed chair who owned crypto just ruled out saving it

πŸ”— Kevin Warsh held stakes in a stablecoin venture and a dozen protocols, called Bitcoin the new gold, and became the friendliest Fed chair crypto has ever had. Then Congress asked whether the Fed would rescue the sector in a run, and he said the one word the industry was not expecting. The most consequential sentence in crypto this month was not said by anyone in crypto. It was said in a House hearing room on July 14 by a Federal Reserve chair two months into the job, answering a question from a congressman who has spent years as the industry’s most reliable antagonist.

🌐 Representative Brad Sherman asked Kevin Warsh whether the Fed would backstop failing digital-asset firms the way it supported money market funds in 2008. Warsh, who sat inside the Fed during that crisis and helped design those rescues, answered: β€œWe do not want to be in the bailout business, full stop.” He then added that the goal is a position where nobody gets bailed out, crypto included.

πŸ“Š The industry has spent a decade assuming that if the worst happened, the safety net underneath the traditional system would stretch, however grudgingly, underneath the digital one. The friendliest chair in Fed history just said it will not, and the fine print of how he said it matters more than the headline.
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‼️ What is auto-deleveraging? When winning gets you closed

πŸ“Š Every leveraged crypto venue has a mechanism that can close your profitable position without asking, and it fires precisely when you are most right. It is the last step in a risk waterfall, it selects victims by a published formula, and it works differently on every architecture.

➑️ Here is how it operates and what actually reduces your exposure to it.There is a category of financial risk that traders learn about only at the moment it costs them money, and in crypto derivatives the leading example is auto-deleveraging. The mechanism is simple to state and hard to accept: on a venue where you hold a large, profitable, leveraged position, the exchange may close part or all of that position without your consent, at a price you did not choose, because someone on the other side blew up so badly that the venue cannot cover the shortfall any other way. You did nothing wrong. Your analysis was correct.

πŸ”— Your position is being reduced precisely because it was working. Every major perpetual futures venue, centralized and decentralized alike, has some version of this mechanism, and it is disclosed in their documentation, which almost nobody reads until afterward. This guide explains why the mechanism must exist, where it sits in the sequence of defenses, how venues decide whose positions to cut, how the architectures differ, and what a trader can actually do to reduce exposure to it.
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