Toshiro_CT
0 Following
10 Followers
23 Liked
0 Shared
š„ ā#Bitcoin Halving Aftershock: Are We Entering the Supercycle?ā
āPost-halving market reactions are never the sameābut this time feels different. With ETFs flooding in, institutional wallets growing, and miners tightening supply, are we witnessing the birth of a new Bitcoin supercycle? Or is the bull trap already closing?ā
Drop your price prediction for Q3 below! Letās see who has diamond hands and whoās playing safe. šš
#CryptoMarket #Binance #BitcoinHalving
āPost-halving market reactions are never the sameābut this time feels different. With ETFs flooding in, institutional wallets growing, and miners tightening supply, are we witnessing the birth of a new Bitcoin supercycle? Or is the bull trap already closing?ā
Drop your price prediction for Q3 below! Letās see who has diamond hands and whoās playing safe. šš
#CryptoMarket #Binance #BitcoinHalving
#StrategyBTCPurchase $BTC
My BTC acquisition strategy on Binance is grounded in disciplined cost-averaging and market structure analysis. I deploy capital incrementally, scaling into positions during retracements near key support zones (e.g., 0.382ā0.618 Fibonacci levels).
I prioritize entries during low volatility periods or post-liquidation sweeps, aiming to align with macro trend continuations. This reduces slippage risk and maximizes risk-reward ratios.
No emotional trades just structured entries, defined stop levels, and a long-term thesis backed by on-chain metrics and supply-side data.
My BTC acquisition strategy on Binance is grounded in disciplined cost-averaging and market structure analysis. I deploy capital incrementally, scaling into positions during retracements near key support zones (e.g., 0.382ā0.618 Fibonacci levels).
I prioritize entries during low volatility periods or post-liquidation sweeps, aiming to align with macro trend continuations. This reduces slippage risk and maximizes risk-reward ratios.
No emotional trades just structured entries, defined stop levels, and a long-term thesis backed by on-chain metrics and supply-side data.
Login to explore more contents