JUST IN: Ethereum is currently the largest chain for | Market Ghost on Binance Square

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JUST IN: Ethereum is currently the largest chain for tokenized stocks.

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Honestly, I hear many people talking about ambitious targets both up and down on $BTC but before the numbers, we need to look at the structure. The first critical point is simple: until we reclaim 95k first and then 101k, there is no real bullish continuation nor any sign of structural strength. These are key levels where demand confirmation and trend validation take place. Below these areas the market continues to show weakness, especially from a macro perspective: reduced flows, slowing momentum and a lack of sustained buying pressure. Everything else is just projections without a technical basis. And confirmation also comes from the OBV, which continues to show weak buying pressure and an inability to break its distribution trendlines. Until the OBV builds higher highs and shows a decisive reversal, it's difficult to speak of a solid trend. Until we see clean, confirmed breakouts above those levels, the bias remains cautious. But working on confirmations is the best strategy; being neither bearish nor bullish is the best mindset if you're a trader.

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U.S. debt keeps skyrocketing 📈 in dollars, but priced in #Bitcoin it’s collapsing 📉 toward zero. This is what happens when you compare an endlessly printed currency to a strictly scarce one.

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MICHAEL SAYLOR JUST SAID IT “I think we’re entering a bull market.” When Saylor calls it… you already know what comes next. ₿ULLISH

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$ZEC I had a limit at 295: missed by a few ticks. And I didn't chase the execution. In trading, this is a key point: if an order isn't filled on your terms, it means the market has not respected the price you had defined as valid. Moving the entry after a missed fill only increases the risk and reduces the R:R. Opportunities will always be there, but the quality of execution is more important than the quantity of trades. My approach always remains the same: discipline, clear invalidations and extremely rigorous risk management. This is how you maintain a statistical edge over time.

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Who is this? Wrong answers

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