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4M Bitcoin Bought Above $85K Could Cap Recovery: Glassnode
Long-term Bitcoin holders are sitting on losses across roughly 4 million BTC bought between $85,000 and $118,000, mostly in 2025, according to on-chain analytics firm Glassnode. Many could sell if Bitcoin climbs back toward that cost range.
Bloomberg Intelligence estimates the average cost basis of U.S. spot Bitcoin ETF holders just under $82,000, while Bitcoin trades around $81,600.
⚠️ Personal market analysis only. NFA — manage risk and DYOR.
Educational content, not investment advice or a recommendation to buy, sell, deposit, or wit
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I’d say X is currently the most behind among the world’s mainstream social media platforms. The videos uploaded there are incredibly blurry—no other platform comes close. Every other platform I’ve seen that supports short videos uploads them in crystal-clear quality. X (Twitter) hasn’t improved one bit. It’s a hopeless case. @elonmusk
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market updates on today $BTC & $XAU
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Why should you remain wary of overconfidence and losing control of your position size after a winning streak?
A winning streak is a good thing, but it can also quietly affect a trader’s judgment. After several profitable trades, some traders may think they have mastered the market and start increasing their positions, loosening stop-losses, or even ignoring their original risk limits.
First, profits do not mean your judgment is always right. Market conditions change, and strategies that worked in the past may stop working. A few successful trades may reflect a strategy’s edge, but they may als
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Stop saying #ltc $ltc ; here you go #ltc
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AI agents may be changing the way we use the internet. 🤖
For many years, we have grown accustomed to using the internet in a certain way: opening apps, searching for information, comparing options, filling out forms, and then completing tasks step by step.
But what will happen in the future if AI can do more and more of this work for us?
AI agents are shifting the discussion from “generating answers” to “helping carry out tasks.” Depending on their capabilities and scope of authorization, they may help users research options, organize workflows, operate software, and coordinate tasks across d
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Backtest returns look great, so why is live trading still losing money?
A trading strategy performs well on historical data, with high annualized returns, an impressive win rate, and limited drawdowns. But once you commit real capital, you may find that your profits fall far short of expectations—or that you even start losing money consistently.
The problem may not be that backtesting is meaningless, but that there are several easily overlooked gaps between historical simulations and real trading.
First, fees constantly eat into returns.
If a strategy trades frequently, fees that seem small on
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October is over. The Shanghai Composite fell 6.3%, the Shenzhen Component fell 16%, and the ChiNext fell 23%. The account I manage fell 10%. It’s down 16% from its peak. I didn’t avoid this downturn, and I also sold my baijiu stocks too soon.
When you walk by the river, how can you avoid getting your shoes wet?
Also, today I bought a little of the ChiNext index. The previous few times, it rebounded after falling to 618, so I still believe that won’t change this time. With the month coming to an end, my gut tells me there’s no need to sell.
Looking at the weekly and monthly charts, October’s de
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And why nobody talks abot $RENDER dipping its toes into the Fib retracement box and nicely reacting to it?
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Google shares suffer a record plunge after earnings! The more it spends on AI, the more worried the market gets. Is the tech giant's cash-burning model failing?
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Google shares suffer a record plunge after earnings! The more it spends on AI, the more worried the market gets. Is the tech giant's cash-burning model failing?
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The AI storage myth shattered overnight! $SNDK plunged in a single day—don't catch the falling knife!
SNDK plunged straight through 1250 from a high of 1421. This isn't a pullback; it's a cascading long liquidation.
Three bearish catalysts converged: Samsung's net profit missed expectations, dragging down storage sentiment; Microsoft and Google both reported capital spending below expectations, putting AI investment returns under intense scrutiny; and SNDK faced profit-taking after its earnings, along with a slowdown in sequential revenue guidance. The storage sector is already among the S&P
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Intel delivered an earnings beat, but the stock still plunged as investors focused on the outlook and concerns around future growth. 📉
The reaction shows that beating expectations isn’t always enough—guidance, margins, AI competition, and market expectations can matter even more.
#IntelBeatsEarningsButStockPlunges #Intel #INTC #StockMarket #TechStocks
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Countdown to the US midterm elections! Policy, the dollar, and US stocks are in play. Which asset cl
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Preparing for a reversal move.
Breakout of the Falling Wedge could trigger 100-110% rise ✍️
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All-In Bro has already been taken in😭
For three days and nights
Liu Xiaoyu’s account is gone too
Everyone knows: those physically in China
May be making a big fuss today, but beware of being called to account later
CME Group CEO Terry Duffy says the world's leading derivatives marketplace will take part in Canton:
"The banks seem to like the Canton network, so we will participate in that as well."
CME averaged 29.4M contracts a day in Q3.
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The most challenging time for an LP is often when you suddenly need cash.
You still want to hold the pool position, but also need liquidity, and in the past you often had no choice but to withdraw part of it. Frax’s latest update offers another option for this kind of need.
@fraxfinance announced on October 28 that the Curve frxUSD/crvUSD PegKeeper LP can now be used as collateral on @Tangent_fi to borrow USG, with incentives now live. At the time, the project disclosed that the original pool depth exceeded $15 million and boosted yields were above 5%; these figures were from the announcement,
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After years in crypto, I’ve seen plenty of black swan events. This time, the Binance wallet was hacked, and Bitcoin plunged from around $80,000, leaving many people stuck overnight. $BTC ‌
Looking back at Glassnode’s holder heatmap, long-term holders’ cost basis is clustered above $85,000. The tug-of-war around $80,000 was already a contest between long-term holders waiting for a rebound to break even and short-term traders waiting to buy the dip. #BTC跌至7.7万美元
There were still spot buy orders supporting the market at $78,000–$79,000, but the sudden security scare sent panic selling straight
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