Sept 10 Update: 10 #Bitcoin ETFs NetFlow: +412 $BTC(+$23.4M | lookonchain on Binance Square

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Sept 10 Update:
10 #Bitcoin ETFs
NetFlow: +412 $BTC(+$23.4M)🟢
#Fidelity inflows 503 $BTC($28.54M) and currently holds 171,625 $BTC($9.74B).
9 #Ethereum ETFs
NetFlow: -732 $ETH(-$1.71M)🔴
#Grayscale(ETHE) outflows 5,179 $ETH($12.09M) and currently holds 1,760,250 $ETH($4.11B).
https://x.com/lookonchain/status/1833180949296894218

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Whales are buying $VIRTUAL! #VIRTUAL 2 fresh wallets(likely belonging to the same whale) withdrew 10M $USDC from #Coinbase to buy 4.25M $VIRTUAL at $2.35. 0xcf4d...b6bc spent 406 $ETH($1.58M) to buy 664,361 $VIRTUAL at $2.39. Address: 0x6ad3e576b9df3de97e72866b8ac84642bcb717b3 0x4fba13ba676bca8bbba5e539d0480d5756472f9a 0xcf4dfc7786b07ae22088cf12f026b39e469cb6bc

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A $PEPE whale that had been dormant for 600 days transferred all 2.1T $PEPE($52M) to a new address. This whale initially only spent 0.0135 $ETH($27) to buy 2.1T $PEPE and has held it until now. From $27 to $52M—an extraordinary 1,900,000x return! https://etherscan.io/address/0xcbc9fad51b83a50dbdc058704fe1355d7b13068d

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A whale(related to #Nexo) unstaked 18,000 $ETH($70.8M) 1 hour ago and deposited it into #Binance! The whale has deposited a total of 72,419 $ETH($270.6M) to #Binance since Dec 2 and still holds 42,108 $ETH($165M). https://x.com/lookonchain/status/1866503562911793384

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Dec 13 Update: 10 #Bitcoin ETFs NetFlow: +5,181 $BTC(+$519.94M)🟢 #iShares(Blackrock) inflows 4,322 $BTC($433.72M) and currently holds 535,154 $BTC($53.7B). 9 #Ethereum ETFs NetFlow: +61,434 $ETH(+$241.44M)🟢 #iShares(Blackrock) inflows 52,099 $ETH($204.75M) and currently holds 981,155 $ETH($3.86B). https://x.com/lookonchain/status/1867231874592186458

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This trader lost $73.9K trading #memecoins in just 3 minutes! He made common mistakes that many traders fall into — a lesson for us all. The trending memecoin $rich caught this trader's attention as its price dipped. Seizing what seemed like an opportunity, he spent 198 $SOL to buy in. Unfortunately, the price plummeted 60% after his purchase, and he panic-sold all for 76 $SOL, taking a 122 $SOL loss. As $rich began to rebound, the trader succumbed to #FOMO, reinvesting 297 $SOL. However, the price dropped another 60%, and he panic-sold for 93.5 $SOL, losing an additional 203.5 $SOL. In total, he lost 325.8 $SOL($73.9K) in just 3 minutes. Ironically, $rich soared 30 minutes later. If he had held his position instead of selling in panic, he might have turned his losses into gains. Address: https://solscan.io/account/BBgwD3eSnQHvhESbeozdTP9G2DcqB4wFgxeP4dADFuud#defiactivities

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