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Defense Department Orders 30 Universities to Audit China Ties

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Defense Department Orders 30 Universities to Audit China Ties

“The U.S. side should abandon the Cold War mentality and foster an open, fair and non-discriminatory environment for educational, scientific and people-to-people exchanges between China and the United States,” it added.

Here’s what to know about the raft of policies aimed at curbing institutional ties to China.

Order targets primarily Chinese institutions

The foreign institutions the U.S. seeks to blacklist were identified by the Pentagon last month. Eighty-eight of the 130 institutions are in mainland China, while the remaining institutions are in Russia and Iran. The list has been updated annually since an earlier version was first released in 2023. It was established under Section 1286 of the 2019 National Defense Authorization Act, which was enacted during President Donald Trump’s first term.

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While some Chinese universities on the list have more explicit ties to the military, others are prominent civilian institutions with extensive international research partnerships. These include Fudan University and Shanghai Jiao Tong University. The updated list also added a number of other Chinese institutions with varying links to China’s defense and security establishment, including Shandong University, Hangzhou Dianzi University, Shenyang Aerospace University, and the University of International Relations.

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Stock Market Today: Dow Rises Ahead Of Fed Minutes; Nvidia Supplier SK Hynix Jumps On Buyback

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Stock Market Today: Dow Rises Ahead Of Fed Minutes; Nvidia Supplier SK Hynix Jumps On Buyback

Futures for the Dow Jones Industrial Average and the other major stock indexes traded mixed Wednesday, as Wall Street awaited the minutes from the Federal Reserve’s latest policy meeting. Meanwhile, Nvidia (NVDA) supplier SK Hynix (SKHY) and Moderna (MRNA) surged on the stock market today. Ahead of Wednesday’s open, Dow futures rose 0.1%, while S&P 500 futures inched higher. Nasdaq-100…

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XAG/USD Analysis: Silver Surges on Jobs Data, Yields Threaten to End It

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XAG/USD Analysis: Silver Surges on Jobs Data, Yields Threaten to End It

Silver has had one of its strongest months in years, but this week’s price action shows just how fragile precious metals rallies can be when bond markets get nervous. The metal surged nearly 10% last week after July’s Non-Farm Payrolls badly missed expectations, printing a loss of 23,000 jobs, prompting markets to price out any chance of a September Fed hike and reviving safe-haven demand.

That momentum reversed on Tuesday, however, with silver dropping toward $64 as global bond yields spiked to multi-year highs on mounting concerns over government spending and persistent inflationary pressures. Rising oil prices added to the unease, keeping inflation risks firmly in focus even as rate-hike expectations continue to fade.

Beneath the volatility, the structural picture remains supportive: silver continues to draw solid demand from the green energy transition, solar panels, electric vehicles, and AI data centre infrastructure, all keeping a floor under prices. All eyes now turn to the Fed’s July meeting minutes and Chair Kevin Warsh’s remarks at Jackson Hole, both expected to offer fresh clues on the path ahead for rates.

Technical Analysis of XAG/USD

As XAG/USD chart shows, silver broke above its descending trendline from June’s highs in early August, a genuine shift after weeks of decline, and has since been holding above the 0.382 Fibonacci retracement near 62.88, right where the 200-period EMA also sits nearby at 62.27. The broader recovery has been building on an ascending trendline off the mid-July lows.

Bullish Scenario

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Should buyers defend this 0.382-EMA confluence and push higher, the path would open toward a retest of the 66.73 highs, the 0 Fibonacci level marking the origin of the entire decline. A confirmed break above that zone would signal the correction is fully over.

Bearish Scenario

Conversely, a break below the 0.382 retracement and the ascending trendline would expose the 0.5 level near 61.69, with a deeper slide risking a retest of the 0.618 retracement around 60.49, or even the triangle apex near 56.64 if selling pressure accelerates.

With price sitting right at the intersection of a reclaimed trendline, the 200-period EMA, and a key Fibonacci level, silver looks poised for a decisive move, will this recovery extend toward fresh monthly highs, or does the recent bond market turmoil drag the metal back into its prior range?

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Is Arthur Hayes Crypto’s Jim Cramer? 124 Trades Show a Clear Pattern

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Is Arthur Hayes Crypto’s Jim Cramer? 124 Trades Show a Clear Pattern

On the last Friday of July, an Ethereum wallet linked by on-chain analysts to Arthur Hayes suddenly started selling.

Within minutes, 2,364 ETH was sent to Cumberland and Galaxy Digital, two major crypto trading firms. The wallet sold at around $1,821 per ETH, crystallizing a loss of roughly $241,000 on coins it had bought only weeks earlier. 

Then came the strange part.

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Two days later, the same wallet started buying Ethereum again at roughly $1,869. By Monday evening, on August 3, 2026, it had accumulated around 2,676 ETH — leaving it with more ETH than it held before the sell-off.

Whatever prompted the wallet to exit on Friday appeared to have changed over the weekend.

Why would an experienced crypto investor like Arthur Hayes sell at a loss, only to buy back even more days later?

Arthur Hayes Buys More ETH on August 3. Image Source: Arkham

Lookonchain caught the transactions within hours and posted the line that has followed the BitMEX co-founder for years:

“Arthur Hayes bought high and sold low again!”

That word, “again,” carries a serious accusation. It implies a pattern. It implies that crypto’s most quoted macro commentator, a man whose essays can move markets, is also its most reliable inverse indicator. 

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The Jim Cramer of crypto, as the meme goes.

But jokes are cheap. Receipts are not. So BeInCrypto pulled every transaction from the three wallets attributed to Hayes for the past two years and eight months, priced every trade, matched every sell against the buys that came before it, and added it all up.

The answer: the meme is half true. The half that is true cost him about $2.47 million. And the most interesting finding is not where he loses. It is the one place he wins.

The Scoreboard: One Winner, Six Losers

The wallets lost roughly $2.47 million overall. ENA — where Hayes is an adviser and token holder — was the only profitable token, offsetting about $5.5 million in losses elsewhere.

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Meanwhile, if you consider just the closed reconstructed trades, the result is a loss of $2.24 million. 

Include the open positions our model tracks, roughly 8,165 ETH purchased inside the window at an average of $1,884 and 25.3 million ENA at an average of $0.091, both currently underwater, and the total reaches minus $2.47 million on roughly $92 million put to work. 

Note that the wallets hold more than the model tracks, about 10,800 ETH and 28.45 million ENA per Arkham. The gaps are pre-window coins, and 3.1 million ENA received from an Ethena multisig on August 10, none of which has a purchase price in our window, so none enters the profit math.

The trade record: 15 wins, 25 losses.

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Token by token, the picture is stark. 

  • ETH lost a reconstructed $2.04 million. 
  • SYN lost $1.41 million. 
  • LDO lost $1.26 million.
  • ETHFI lost $474,000. 
  • PEPE lost $152,000. 
  • PENDLE lost $124,000.

One token made money: ENA, up $3.23 million.

Arthur Hayes Realized PnL Per Token. Image Source: BeInCrypto

ENA is the governance token of Ethena. It is a project Hayes formally advises, holds vested tokens in, and promotes relentlessly. 

On the six tokens where he is just another trader with a strong opinion, the wallets lost about $5.5 million. On the one token where he has an insider’s seat, he made $3 million.

The ETH Pattern: Sell Low, Rebuy High

Ethereum is where the meme earns its keep because of the repeated pattern of buying high and selling low. Our findings show that Hayes-linked wallets sold into short-term fear, then bought back after prices recovered, sometimes at a steep premium.

The wallets traded ETH 34 times in our window, and the choreography repeats: sell into fear, watch the market steady, buy back at a worse price.

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The clearest example ran through August 2025. 

On August 1, with Hayes publicly cautious on the macro picture, the wallet deposited 2,373 ETH to two trading desks, a sale Lookonchain tracked at about $3,507 per coin. Ethereum ignored the fear and ran almost straight up. 

On August 10, the same wallet bought 1,500 ETH back at around $4,252. Same asset, roughly $745 per coin more expensive. On the rebought coins alone, the exit and re-entry cost roughly $1.1 million.

The July 2026 episode that opened this article follows the identical script, compressed into a weekend. Sell 2,364 ETH at a $241,000 realized loss on Friday. 

Rebuy more than that by Monday. The loss purchased nothing: no protection, no dry powder, no changed thesis. Both transactions sit on the chain for anyone to verify, including the 1,167 ETH transfer to Cumberland.

Each individual sale had a reason. A scary macro print, a tariff headline, a liquidity worry, all articulated in Hayes’s essays. The problem is not any single decision. 

It is that his fear operates on a weekend timescale while Ethereum’s moves operate on a monthly one. The wallets kept selling dips and rebuying recoveries, and the running total of ETH trading only found new lows.

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Arthur Hayes ETH Trades. Source: BeInCrypto

The Counterexample: He Traded ENA Brilliantly, Once

Fairness demands the ENA chapter, because it was a clear exception.

Hayes-linked wallets timed the token far better than other trades, generating millions in profit — though the latest ENA position is already underwater.

In late November 2024, the wallets spent about $11.2 million, accumulating 16.79 million ENA at around $0.67 through Binance, Wintermute, and Flowdesk. 

Then, unusually, Hayes waited. Three weeks later, on December 21, two hours after tweeting praise of Ethena, the wallet moved $8.4 million of ENA to Binance and sold near $1.19, roughly 78% above his $0.67 entry a month earlier. Our reconstruction credits about $3.7 million of realized profit on that day’s sale.

The criticism that followed concerned ethics: promoting a token publicly and selling into the pump within two hours. Nobody called the trade dumb. 

Across our full window, his ENA buys were followed by an average 30% outperformance within a month, and his ENA sells preceded 22% underperformance. Both sides of the trade, timed well, repeatedly.

Why is Arthur Hayes Good With ENA Trades?

Two structural reasons. First, proximity. Maelstrom advises Ethena. Second, patience, but only here.

He held the November position for weeks, while his ETH conviction has a shelf life of days.

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The 2026 sequel is going worse. Lookonchain data shows he bought 15.8 million ENA at $0.23 in February and sold 3.6 million at $0.14. 

And in the few days before publication, the wallets went back in hard. They made a run of market purchases between August 1 and August 6 through Binance, Wintermute, Flowdesk, and Galaxy Digital, totaling roughly 25 million ENA at $0.08 to $0.09, timed directly into Ethena’s August 5 unlock of 172 million new tokens.

Arthur Hayes Purchases ENA. Source: Arkham

A further 3.1 million ENA arrived on August 10 from an Ethena multisig, consistent with a vesting distribution, which we exclude from his buys. ENA trades at $0.082 as we publish, 94% below its 2024 peak, and the purchased tranche is already underwater.

Arthur Hayes’ ENA Trades. Source: BeInCrypto

The Tuition Bills

The smaller trades show the same problem: Hayes-linked wallets repeatedly bought narratives too late or exited too early, turning strong convictions into heavy losses.

The worst single entry in the file is SYN. The wallets put $2 million into Synapse, watched it lose more than half its value against the market within a month, and finally flushed the position on August 1, 2026, selling 6.16 million SYN for $658,000. 33 cents back on every dollar in.

Arthur Hayes SYN Trades. Source: Arkham

The most Cramer-shaped moment belongs to PENDLE. On September 12, 2024, Hayes tweeted that he was betting PENDLE would reach $10. 

Nine days later, the wallets sold 1.2 million PENDLE, about 61% of the position, at around $3.52, including one tranche dumped at a 36% loss. After the sale, PENDLE rallied 24% almost immediately.

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The Verdict: Not Cramer, Something More Specific

Here is a twist. Hayes appears to have a real edge when entering trades; his buys outperform over the next month, but poor exits and weak long-term holds repeatedly erase that advantage.

For every purchase in the dataset, we asked one question. What did that token do over the next 30 days, compared with what it usually does? 

The comparison matters. Every token has a typical 30-day move across our period, its drift.

Against that bar, Hayes, the buyer, is genuinely good. The tokens he bought went on to beat their own drift by about 10% over the following month, weighted by how much money he put in. 

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His nose for what is about to run is real. It is also why blindly doing the opposite of Hayes, the strategy Crypto Twitter jokes about, would have worked worse than the joke assumes.

The catch is that the 10% is what his entries were worth if held for a month. He almost never held for a month. The Friday-night sale, the PENDLE dump nine days after his own price target, and the ETH buyback at $4,252. Each of those exits cashed in the edge early or converted it into a realized loss.

And when he did hold on, the market eventually came for him anyway. Stretch the same measurement to 90 days, and it inverts. His buys trailed their drift by 20.5% within a quarter. The strength he buys is real but old. It pays for about a month after he arrives, then dies.

Put those numbers side by side, and you have the whole trader. His instincts run on a 30-day clock. But his nerves run on a 3-day clock. His losses live in the gap between the two.

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Timing Score of Arthur Hayes Trades. Source: BeInCrypto

That gap is the scoreboard. The one-month edge makes every individual entry defensible, which is why no single Hayes trade ever looks stupid in isolation. The three-day nerves mean he keeps interrupting his own best ideas. 

Is Arthur Hayes Crypto’s Jim Cramer?

So is he a profitable trader? On the evidence of the visible wallets, no.

Is he crypto’s Jim Cramer? Also, no, and the difference matters.

Cramer’s joke is that he is simply wrong. Hayes is not wrong. He is early on a one-month clock and gone either too soon or too late.

One final point of fairness. Whatever his trading record says, Hayes remains structurally long Ethereum.

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Beyond the ETH the wallets hold outright, Arkham shows roughly 3,176 eETH and 1,167 weETH in staked positions, taking his total exposure to about 15,200 ETH equivalent, worth around $28.5 million. 

He trades around the position badly, but he has never abandoned it. And a $2.47 million trading loss is a rounding error against a net worth Arkham estimates at $200 million to $350 million, most of it built at BitMEX, the exchange he co-founded, which announced on July 23 that it will shut down permanently on September 23 after 11 years. 

The wallets we examined hold $33 million as of writing. Hayes never bets enough to get hurt, and nothing here speaks to how Maelstrom’s fund, which we cannot see, performs.

His trades are not uniquely bad. They are ordinarily bad, narrated in extraordinary essays, and permanently on display.

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Arthur Hayes On-Chain Portfolio. Source: Arkham

How we Read Arthur Hayes On-Chain Trades

Everything on a blockchain is public and permanent. We analyzed three Ethereum wallets tagged to Arthur Hayes by Arkham Intelligence, and trackers such as Lookonchain have reported on them as his for over two years:

  1. 1. 0x534a0076fb7c2b1f83fa21497429ad7ad3bd7587
  2. 2. 0xa86e3d1c80a750a310b484fb9bdc470753a7506f
  3. 3. 0x6cd66DbdFe289ab83d7311B668ADA83A12447e21

Hayes has replied to posts about these wallets. He has never said they are not his. He has also never formally confirmed ownership, which is why the article describes the “wallets attributed to Hayes” rather than asserting ownership.

We downloaded the complete history of all three wallets, roughly 17,000 transfers, and then cleaned it. Out went thousands of scam deposits from address-poisoning attackers, including 624 fake versions of “USDC” built with lookalike characters. 

Out went staking transactions, which move tokens without selling them. Also, out went roughly $35 million of tokens that arrived from vesting contracts, because Hayes advises projects including Ethena and Ether.fi through his fund Maelstrom, and receiving a token salary is not the same as buying with conviction.

What survived were 124 real trades between December 2023 and August 14, 2026. 82 buys worth $92 million. 42 sells worth $73 million, and seven tokens: ETH, ENA, PENDLE, ETHFI, SYN, LDO, and PEPE.

For every sell, we matched the coins against the earliest unsold purchases before it, the standard first-in-first-out method, and asked a simple question. Did this trade make money?

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One honest note. We price trades at daily closing prices, and actual fills differ slightly. 

Every figure here is a careful reconstruction, not an audit. The direction of the numbers is robust.

BeInCrypto has contacted Hayes and the Maelstrom fund for comment and will update this article with any response.

Disclaimer: This article is based on public blockchain data and third-party attribution. It is provided for informational purposes and is not investment advice.

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The post Is Arthur Hayes Crypto’s Jim Cramer? 124 Trades Show a Clear Pattern appeared first on BeInCrypto.

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Retail investors stick with AI trade but appear more cautious

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Retail investors stick with AI trade but appear more cautious

POLAND – 2025/02/24: In this photo illustration, an Artificial Intelligence (AI) logo is displayed on a smartphone with an Artificial Intelligence (AI) symbols on the background. (Photo Illustration by Omar Marques/SOPA Images/LightRocket via Getty Images)

Sopa Images | Lightrocket | Getty Images

Retail investors aren’t giving up on the artificial intelligence trade. But they are getting selective and adding downside protection as markets head into the fall.

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Investors are using put options and inverse ETFs to hedge risk while still positioning for upside in individual technology stocks, according to data from Vanda Research and Charles Schwab. Put options give the holder the right to sell an asset at a stated price by a certain date. Inverse ETFs aim to move in the opposite direction from the index they’re following.

“Retail investors are selectively trading in the classic AI theme but also adding downside protection via options and inverse ETFs,” Vanda’s global equity strategist Kaidi Meng told CNBC in an emailed statement.

Retail flows look very different now compared with prior years, Meng said. “Previously, retail bought any major dips almost without question. However, this year, we are seeing a more selective retail investor that is either switching between stocks quickly or buying underlying stocks while also buying protective puts,” she added.

​Since April, Meng said put buying of the top 12 retail-favored stocks in 2026 has almost doubled versus the first quarter, despite an overall reduction in cash purchases of stocks. Put buying went up to 110% from about 26% of net cash buying, even as outright stock purchases have declined. Net cash buying refers to the amount investors spend on purchasing assets versus the amount they sell.

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The strategist said growth of ETF strategies, including levered vehicles, has led to a different kind of risk-taking appetite from retail cohorts. “Flows into ETFs signal a trend of reduced outright exposure, rather than just an uptick in downside hedges,” Meng said.

Vanda’s data shows that since mid-April, buying of both bullish and bearish tech ETFs, including leveraged funds, has declined. Bullish activity fell sharply, down about 50%, Meng pointed out, compared with a roughly 35% decline for bearish ETFs.

Overall, Meng said retail investors appear to be adding downside protection through puts on individual stocks and inverse ETFs for broader market exposure, while also cutting their long positions.

“This reduction in long exposure may be a function of broader profit-taking after years of successful buy-the-dip strategies, or this could be a sign of retail investors choosing to take increased risk via more speculative stocks, levered ETFs, and betting sites,” she said.

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Some are still bullish underneath

The increased demand for protection, however, doesn’t mean retail investors have broadly turned bearish.

Data from Charles Schwab show that many investors are still buying and positioning for further upside. Schwab investors continued to buy in July despite a choppy market backdrop, lifting the Schwab Trading Activity Index, known as STAX, for a third straight month and bringing it to its highest level since January 2022.

The index rose to 59.80 in July from 59.12 in June. Schwab clients remained net buyers, with the brokerage firm seeing more than two buyers for every seller in July.

A recent report by the firm showed that as many tech stocks pulled back, traders appeared more willing to buy dips in names with sharper moves, while showing less interest in stocks that remained rangebound. Notably, Nvidia, which was regularly among the top five names in STAX, was absent from those rankings in July.

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Joe Mazzola, Schwab’s head trading and derivatives strategist, told CNBC the firm saw a modest pickup in put buying on the Invesco QQQ Trust (QQQ) during the week of Aug. 7. 

Mazzola said Schwab investors were continuing to sell puts on individual AI-linked stocks such as Nvidia, Micron and Sandisk, taking advantage of elevated option premiums, while buying lower-cost QQQ puts to hedge some of their broader tech exposure.

But he said while the hedging pickup is noticeable, it is not dramatic.

“Put selling and call buying, so they’re trying to position themselves for an additional rally,” he said. A call option gives the investor the right to buy a stock at a specified price by a certain date.

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A hedge or directional bet

Inverse and leveraged ETFs can be used to hedge risk, but traders can also use them to make directional bets.

“Many advanced investors continuously evaluate both market opportunities and portfolio risk, adjusting exposures and strategies as market conditions, investment themes, and their own objectives evolve,” Bryan Koplin, head of advanced trading at Fidelity Investments told CNBC in an email.

For example, some may use options or other advanced strategies to help manage portfolio risk or express a market view based on expected price movements.

“Similarly, we’re also seeing continued interest in leveraged and inverse ETFs,” Koplin said. “While these products could be viewed as portfolio hedging, they are frequently used by active traders to make directional bets on expected market movements.”

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According to Koplin, their ease of use can make them an attractive alternative to strategies involving margin borrowing or short selling.

But he also warns that investors should carefully consider the objectives, risks and generally short-term nature of these products before trading them.

“As advanced investors evaluate portfolio construction, risk management, and more sophisticated trading strategies,” Koplin said, “access to education, research, and customizable tools can play an important role in helping them make tailored, informed decisions and navigate evolving market opportunities.”

Choose CNBC as your preferred source on Google and never miss a moment from the most trusted name in business news.

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How to Recover From an Embarrassing Faux Pas

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How to Recover From an Embarrassing Faux Pas

Lizzie Post still remembers the time she walked into a party and an acquaintance greeted her with exciting news: “You had a baby!”

“I’m going to the bar,” Post replied.

Post, co-president of the Emily Post Institute and Emily Post’s great-great-granddaughter, knew the woman meant well. She had apparently heard that something momentous had happened—it hadn’t—and cycled through three incorrect milestones trying to identify it. Fortunately, she eventually stopped guessing: a relief for everyone involved.

Life is full of faux pas, but even when you’re the one making it, you can dig your way out of social quicksand most of the time. Here’s what psychologists and etiquette experts suggest saying, plus when to stop talking.

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Your immediate reaction after saying something you regret might be to turn fire-truck red. Then comes the urge to reach for the very thing that got you into trouble in the first place: more words. People often try to explain, defend, or excuse their misfired remark, says Karina Schumann, a social psychologist and associate professor at the University of Pittsburgh who studies apologies and conflict resolution. The instinct is self-protective: They’re frantically trying to repair their image in the other person’s eyes.

“What actual repair looks like is to shift the attention to the other person,” Schumann says. “Put aside this very strong need that you have to repair your self-image, and instead think: ‘If I were on the receiving end of this, what would I need to hear?’” 

Pause, acknowledge the impact of what you said, and take responsibility. She suggests phrasing it like this: “I’m sorry. I shouldn’t have assumed.” Or: “I can see that my joke was insensitive. I apologize.” 

Then take a breath. More words will still be available later, should the situation require them.

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Match the apology to the offense

A minor blunder and a painful faux pas shouldn’t trigger matching productions of remorse. Forget an acquaintance’s name? A quick “I’m sorry—please remind me” may be enough. Ask when someone is due when she isn’t pregnant, or make a joke that accidentally lands on a painful subject? That calls for a direct acknowledgment of the harm, without trying to laugh it off, and perhaps a longer conversation if the other person wants one.

The person responsible isn’t always the best judge of what it will take to repair the situation. Schumann points to a phenomenon researchers call the “magnitude gap”: People who cause harm tend to view it as less severe and less damaging to the relationship than the people on the receiving end do. The offender may think, I apologized; this should be over. The other person may still be wondering how the offender could fail to understand how much it hurt. 

Don’t turn an apology into an autobiography

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An apology doesn’t require an origin story, a director’s commentary, or a guided tour of everything happening inside the offender’s head.

“Blame is like a hot potato,” says Jennifer Thomas, a psychologist and co-author of The 5 Apology Languages: The Secret to Healthy Relationships. Defensive responses—including “I was only joking,” “I didn’t mean it that way,” and “Why did you take it so personally?”—toss it back to the injured person. They minimize the harm, gloss over the offender’s intentions, or suggest the other person is simply too sensitive. 

An explanation can sometimes make what happened easier to understand, Schumann says, but it has to provide context without weakening responsibility. Lead with: “I shouldn’t have done that. There’s no excuse for it.” Then ask whether an explanation would be helpful.

A digital faux pas calls for the same restraint. If you send a text to the wrong person with information you wouldn’t have divulged to them otherwise, Post suggests writing: “I’m so sorry. Clearly that text wasn’t meant for you—and I probably shouldn’t have been sending it anyway.” Then leave it at that.

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Resist the apology encore

For a minor, accidental blunder—maybe you stuck your toe in your mouth instead of your whole foot—one sincere apology is generally enough. “The more you apologize, the more it’s about you,” Post says. That means no apology cookies, no anguished message the following morning, and no campaign to extract an official declaration that everything is fine.

Serious harm is different. Schumann cautions against treating every apology as a “one-shot thing,” as though finding the perfect words should settle the matter. The other person may need a longer conversation, an effort to make amends, or simply more time.

“The timing of any forgiveness should stay wholly in the hands of the person who was hurt,” Thomas says. An apology offers them a choice, not a deadline.

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What if you don’t realize you made a faux pas until hours or days later? It’s usually better to address it than hope the other person forgot, therapist Elika Dadsetan-Foley says. Try: “I’ve been thinking about what I said yesterday. I realize it may have been insulting, and I’m sorry I didn’t recognize that in the moment.”

The next time you meet, act normal

The next time you run into the neighbor you assumed was sick but who had merely gone makeup-free, or the acquaintance who received a text that was definitely not meant for them, offer a friendly greeting. Avoiding the person can make one uncomfortable exchange feel like a permanent rupture; bringing it up again can give a dying embarrassment fresh oxygen.

Keep the story to yourself, rather than retelling it as evidence of what a hopeless fool you are. “You may think that’s you throwing yourself under the bus, but you’re dragging the other person with you,” Post says. Your self-deprecation may get a laugh, but it also makes the other person’s embarrassment public.

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Fortunately, most faux pas don’t require a lifelong of self-flagellation. If you’ve apologized sincerely and the other person seems ready to move on, follow their lead. “We all get stuff wrong from time to time,” Post says. Sometimes recovering gracefully means making amends. Other times, it means saying sorry—and letting everyone get on with the party.

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Ripple raises $275M for US prime brokerage to meet institutional demand

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Ripple raises $275M for US prime brokerage to meet institutional demand

Ripple raises $275M for US prime brokerage to meet institutional demand

Ripple said the $275 million raised will support its expansion into traditional financial services such as prime brokerage and multi-asset clearing, citing strong demand from institutions.

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Mark Zuckerberg Meta AI Predicts Where SpaceX Stock Could Be in 5 Years

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Mark Zuckerberg Meta AI Predicts Where SpaceX Stock Could Be in 5 Years

Wall Street has stopped valuing this company of rockets, Meta AI, however, predicts the market prices of Starlink monetization, and the price prediction ladders from $205 in 2027 to $410 by 2031.

The 2027 case rests on subscriber economics. Starlink ended Q1 with 10.3M subscribers and revenue up 91.9% year over year in the August 4 earnings.

ARPU stabilization is the metric that matters there. Falcon 9 is being sold out until 2028 and 2029, with supplies pricing power alongside it.

Source: Meta AI SpaceX Price Prediction

If SpaceX hits guided revenue of $22B to $24B for 2026, Meta AI expects SpaceX to re-rate to 8x or 9x sales. The 2028 target of $275 depends on Starship.

Flight 13 in July 2026 proved the V3 Starlink deployment. Monthly flights would deploy the full-size V3 constellation and the first phase of the orbital AI data center.

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Twelve successful orbital flights would cut launch costs by more than 70% and triple Starlink capacity. By 2029, the base case reaches $340 as profitability flips, with 15M subscribers expected and Starshield contracts covering Starship’s $15B development spend.

The 2030 target of $385 turns on the AI narrative, converting a $3.2B loss-making division into orbital compute revenue. The bear case is grounded, where Starship failures or FAA delays keep the $4.9B net loss lingering and push SPCX toward $95 to $110.

Source: Meta AI

Discover: Everyone’s Got a Take. Get Free $25 to Actually Trade Yours

SPCX Price Prediction: Meta AI Predicts Satellites Matter More Than Rockets Now

The 2-hour chart shows a stock that has round-tripped. SPCX spiked above $225 in mid-June before selling off hard.

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Late June and July delivered a sustained decline. Price fell from $170 toward $107 by the end of July.

August reversed that entirely. Buyers drove a sharp recovery from $107 back above $150 within two weeks.

Recent sessions have cooled. Price now consolidates in the low $140s after that run.

The close reads $143.31, up 0.27% and $0.39. The session range covered $141.92 to $143.72, with post-market at $143.12.

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Support sits at $135, then $125 and $110. Resistance appears at $150, then $160 and $170.

RSI reads 55.62 with its signal line above at 58.94. The oscillator trails by more than 3 points, showing the August rally losing intensity.

Both lines sit above the midline. Momentum remains positive but is fading rather than building.

Meta AI’s 2027 base case needs a 43% move. The next earnings print and Starship cadence are what turn that ladder into something the market underwrites.

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Why Is South Korea’s Won Rising While Its Chip Stocks Collapse?

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Why Is South Korea’s Won Rising While Its Chip Stocks Collapse?

South Korea’s won hit its strongest level against the dollar in more than 10 months on Wednesday. The currency strengthened past the 1,400 mark, a level last seen in late September 2025.

A booming semiconductor industry is helping drive the currency’s recovery, even as the same sector comes under heavy selling pressure in South Korean equities.

Chip Dollars Reach the Currency Market

The won has gained 10.8% since early July. The currency traded as weak as 1,557.9 per dollar on July 2 before strengthening to 1,396.6 at press time.

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South Korea Won Performance. Source: TradingView

Export earnings explain the move. Korea shipped $98.89 billion of goods in July, up 63% from a year earlier. Semiconductor exports rose 179% to $41 billion.

Those dollars are now reaching the domestic market. SK Hynix raised $26.5 billion through a US depositary receipt listing. The firm said that it will use the funds from the listing to fund projects in the country.

Chip Stocks Pull the Other Way

The picture is markedly different in South Korea’s stock market. The same AI-driven semiconductor boom that is boosting export earnings has also left chip stocks vulnerable to sharp swings in investor sentiment.

The KOSPI has experienced significant volatility in recent months. The index plunged 22% in July, its steepest monthly decline since the global financial crisis. 

The selling pressure continued on Wednesday, prompting the Korea Exchange to activate a sell-side trading curb. At press time, the KOSPI stood at 6,490.63, down 5.52%.

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KOSPI Performance on Wednesday
KOSPI Performance on Wednesday. Source: Google Finance

Chipmakers led the decline. Samsung Electronics fell 7.64% to 248,000 won, while SK Hynix dropped 9.09% to 1,511,000 won. Together, the two companies account for roughly half of the KOSPI’s weight.

The sell-off followed a sharp overnight decline in US semiconductor stocks. SK Hynix’s depositary receipts fell 9.2% in New York, while Micron Technology declined 7.02%.

The divergence highlights an unusual dynamic in South Korea’s markets. The semiconductor boom is supporting the won through stronger export earnings and dollar inflows, while concerns over the global technology sector are weighing heavily on the country’s chip-heavy stock market.

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HTX Distributes Nearly 59,000 USDT in Rewards as TradFi Trade to Earn #2 Concludes

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HTX Distributes Nearly 59,000 USDT in Rewards as TradFi Trade to Earn #2 Concludes

HTX, a leading global cryptocurrency exchange, recently announced the successful conclusion of Phase 2 for its popular TradFi Trade to Earn campaign. The second phase delivered significant growth in trading volume, user engagement, and platform incentives, demonstrating the ability of the Trade to Earn model to drive trading activity among TradFi futures traders and further highlighting the market potential of this innovative trading incentive model.

Nearly 59,000 USDT Returned to Users as Volume Posts a Steep Growth Curve

Designed specifically for TradFi traders, HTX’s TradFi Trade to Earn ties active futures trading directly to fee rebates and bonus incentives, helping users cut costs and trade more efficiently.

During Phase 2, cumulative trading volume for TradFi futures on HTX surpassed 177 million USDT, nearly triple the volume recorded in Phase 1, representing a 179% increase. The rapid growth in volume reflects rising user engagement with TradFi futures.

Alongside the volume surge, platform reward distributions grew. HTX distributed nearly 59,000 USDT in total rewards during Phase 2, including more than 56,000 USDT dedicated to trading fee rebates. Compared with the first phase, total fee rebates and cumulative rewards distributed both grew by over 150%, reflecting the platform’s growing commitment to providing greater incentives.

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For TradFi futures traders, fees are a meaningful part of their trading costs. Particularly in high-frequency trading and fast-moving markets, increased trading frequency often means higher trading costs. HTX’s TradFi Trade to Earn turns a portion of these trading costs into user incentives through fee rebates and rewards, lowering the barrier to participation while further enhancing capital efficiency for traders.

From Cutting Costs to Adding Returns: A New Stage for TradFi Trade to Earn

Moving from lowering the cost of trading to increasing traders’ overall returns, TradFi Trade to Earn is becoming a key incentive tool within the HTX futures ecosystem.

As markets continue to evolve, traders are placing greater emphasis on liquidity, trading costs, and capital efficiency. In response to changing trading needs, HTX continues to expand its TradFi offerings and refine its incentive mechanism, providing traders with a flexible and efficient way to participate in these markets through a broad selection of assets and compelling user benefits.

HTX now offers more than 170 TradFi assets, spanning precious metals, commodities, indices, and U.S. equities to meet a wide range of trading needs.

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Notably, Phase 3 of HTX TradFi Trade to Earn is set to launch soon.

Building on the continued growth in trading volume across the first two phases, the upcoming event will carry forward the core “trading + incentives” model, offering users another round of fee rebates and rewards. As the range of TradFi assets continues to expand, users gain access to an increasingly diverse range of trading opportunities, further broadening the potential of the TradFi Trade to Earn model.

About HTX

Founded in 2013, HTX has evolved from a virtual asset exchange into a comprehensive ecosystem of blockchain businesses that span digital asset trading, financial derivatives, research, investments, incubation, and other businesses.

As a world-leading gateway to Web3, HTX harbors global capabilities that enable it to provide users with safe and reliable services. Adhering to the growth strategy of “Global Expansion, Thriving Ecosystem, Wealth Effect, Security & Compliance,” HTX is dedicated to providing quality services and values to virtual asset enthusiasts worldwide.

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To learn more about HTX, please visit https://www.htx.com/ or HTX Square , and follow HTX on X, Telegram, and Discord.

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Bitcoin price falls to $64,300 after $65K rejection, will support hold?

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Bitcoin daily chart shows BTC near $64,300, above the $63,895 Bollinger midline, with resistance at $65,350 and CMF at -0.05.

Bitcoin price pulled back to about $64,300 on Aug. 19 after failing to hold above $65,000, as weak spot demand, rising bond yields, and resistance near $65,400 limited the rebound.

Summary

  • Bitcoin price retreated to $64,300 after briefly approaching $65,000 during the latest recovery.
  • Bollinger Bands place resistance at $65,350 and near-term support around $63,900.
  • CoinGlass data shows liquidation clusters near $65,400, $66,000, and $62,200.
  • Traders are awaiting the Federal Reserve’s July meeting minutes for interest-rate signals.

Bitcoin price stalls below $65,000

According to data from crypto.news, Bitcoin (BTC) price was trading at about $64,390 on Binance on Wednesday afternoon in Asia, down roughly 0.5% on the daily candle. The price had reached an intraday high of $64,736 before sellers pushed it lower.

The retreat followed a rebound from the $62,700 area earlier in the week. Bitcoin moved through $64,000 and approached $65,000 on Aug. 18, but the rally did not attract enough buying pressure to clear the upper end of its recent range.

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Trader Lennaert Snyder said Bitcoin had again been rejected from the high of its compression range. He identified $65,400 as the level keeping the asset inside the range and said a loss of the $64,000 previous-day low could send the price back toward the lower boundary.

Snyder said he was maintaining a short position opened near $65,000 but planned to move it to breakeven if possible. His downside scenario depends on Bitcoin losing $64,000, while another defense of the $62,500 range low would leave the market increasingly compressed.

Bitcoin has traded mostly between $62,500 and $65,400 since late July, aside from brief moves outside the range. Repeated reversals have reduced the value of entries near the middle, where neither buyers nor sellers have established control.

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Low trading volume limits the Bitcoin rebound

Thin spot activity remains one of the main obstacles to a sustained breakout. Analyst Gerla said Binance spot volume had declined for years, even as Bitcoin continued to hold around $64,000.

Gerla interpreted the decline as possible seller exhaustion rather than an immediate bearish signal. However, lower volume also means that the recovery has received limited confirmation from buyers.

Binance data published earlier in August showed how activity has shifted toward leveraged products. Bitcoin futures volume on the exchange reached about $57.82 billion in one session, compared with $6.08 billion in spot volume.

The resulting futures-to-spot ratio reached 7.82, according to CryptoQuant data. Futures therefore accounted for almost eight times as much activity as spot trading, leaving short-term price moves more exposed to leveraged positioning and liquidation-driven volatility.

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Institutional demand has also weakened. U.S. spot Bitcoin exchange-traded funds recorded about $385.2 million in net withdrawals during the week through Aug. 14. The outflows followed $853.5 million in inflows in the previous five trading sessions.

Lower ETF demand and weak exchange volume have reduced the buying pressure available near resistance. Both measures would need to improve for a breakout above $65,400 to receive stronger market confirmation.

Bitcoin charts identify $65,350 as resistance

The daily chart shows Bitcoin trading just above the middle Bollinger Band at $63,895. The upper band stands at $65,350, closely matching the resistance that stopped the latest recovery.

Bitcoin daily chart shows BTC near $64,300, above the $63,895 Bollinger midline, with resistance at $65,350 and CMF at -0.05.
Bitcoin price daily chart — Aug. 19 | Source: crypto.news

A daily close above $65,350 would place Bitcoin outside the upper edge of its recent volatility range. Such a move could open a path toward $66,000, followed by the late-July swing area near $67,000.

The lower Bollinger Band sits at $62,440, creating a broader support zone between $62,400 and $62,700. A daily close below that area would weaken the range structure and expose $61,000, followed by the June and July lows near $58,000.

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Chaikin Money Flow was at minus 0.05 on the daily chart. The reading indicates that capital flows remain slightly negative and offers little evidence of sustained accumulation despite Bitcoin’s rebound.

The 4-hour chart presents a firmer short-term setup. Bitcoin remains above the Supertrend support at $63,466, while the Awesome Oscillator is positive at 951.

Bitcoin 4-hour chart shows BTC holding near $64,300 above Supertrend support at $63,466, while positive momentum begins to slow.
Bitcoin price 4-hour chart — Aug. 19 | Source: crypto.news

Recent red bars on the Awesome Oscillator show that bullish momentum is slowing after the advance from $62,700. Buyers would need to defend the $63,450–$64,000 region to preserve the short-term recovery.

Liquidation levels could determine the next move

CoinGlass’ one-week liquidation heatmap shows several concentrations of leveraged positions surrounding Bitcoin’s current price.

Bitcoin one-week liquidation heatmap shows liquidity clusters near $65,400 and $66,000, with a larger downside concentration around $62,200.
Bitcoin liquidation heatmap | Source: CoinGlass

The closest overhead liquidity appears between approximately $65,300 and $65,600, with another cluster around $66,000. A move through $65,400 could trigger short liquidations and accelerate the price toward the second cluster.

The strongest nearby downside concentration sits around $62,200. Additional liquidity is visible between $63,400 and $64,000, making that region a possible target if Bitcoin loses its current 4-hour support.

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Liquidation heatmaps identify areas where leveraged positions may be closed, but they do not determine which price level will be reached first. Bitcoin’s position between large clusters on both sides supports Snyder’s view that the market remains compressed.

Fed minutes remain the next US market catalyst

Bitcoin’s retreat also followed a broader pullback in U.S. risk assets. LSEG data cited by Barron’s placed BTC near $64,306 as rising global bond yields and Middle East tensions weighed on markets.

Treasury yields eased on Wednesday after the previous session’s global bond selloff, with the U.S. 10-year yield around 4.686%. Brent crude remained above $91 as renewed U.S.-Iran tensions maintained concerns about energy-driven inflation.

U.S. investors are now waiting for minutes from the Federal Reserve’s July meeting. The release could provide more information on how officials view inflation and the path of interest rates.

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A softer policy signal, improving ETF flows, and a close above $65,400 would strengthen Bitcoin’s breakout case. Renewed pressure on bonds and a loss of $64,000 would instead shift attention toward $62,500 and the large liquidation cluster near $62,200.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

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