Today's Top News😍😍😍
1. Bitcoin ETFs see outflows of nearly $4 billion for five consecutive weeks.
2. Trump: Has signed an order imposing a 10% global tariff on all countries.
3. Bitcoin mining difficulty rises by 15%, the largest increase since 2021.
4. Ripple adds $20 million in RLUSD supply, bringing the total to 1.53 billion.
5. Bitmine's total Ethereum staking surpasses 3 million, valued at $6.1 billion.
6. Binance Alpha launches its second round of TRUTH airdrops, with a minimum requirement of 251 Alpha credits.
7. Polymarket, Hyperliquid, and others selected for Forbes' 2026 Fintech 50 list.
8. BlackRock transfers 2,563 BTC and 49,582 ETH to Coinbase.
9. 10x Research: Altcoin market is fragile and Bitcoin is oversold, but portfolio structure is quietly shifting.
10. GoPlus launches DeepScan, a token AI auditing platform.
#TodayHotTrends
Why $BTC is Stuck Sideways After the Dump – Macro Storm Brewing?
$BTC Update: Sideways Grind at ~$68K – What's Holding It Back? After dumping from the $71K zone (see that recent high wick rejection), Bitcoin is now consolidating tightly in the $66K–$68.5K range on the 4H/1D charts.
We're seeing: Repeated tests of support around $66.5K–$67K (strong buyer defense zone)
Failure to reclaim $70K–$71K supply wall
Lower highs + choppy candles = classic post-dump accumulation phase
Volume drying up, no strong breakout conviction yet
This sideways action isn't random – it's the market digesting heavy macro uncertainty.
Here's my take on the big reasons:
🚨 Trump Tariffs Drama Hits Supreme Court –
Just yesterday (Feb 20, 2026), SCOTUS struck down Trump's sweeping emergency tariffs as exceeding presidential authority (6-3 ruling under IEEPA). Markets hate uncertainty – this ruling sparked volatility across risk assets, including crypto.
Even with Trump pushing alternatives, the back-and-forth is killing momentum. Global trade fears = risk-off mode for BTC.
🚨 Iran vs USA Tensions Escalating –
US military buildup in the Middle East is massive (carriers, jets, etc.), with Trump warning of strikes if no nuclear/missile deal in the next 10–15 days.
Iran fortifying sites + threats to close Strait of Hormuz = oil shock + geopolitical premium. Crypto often dumps or freezes during war-risk spikes as investors flee to safety. Result?
Leverage unwind complete, but no fresh catalysts for upside. Liquidity thin, ETF flows mixed, long-term holders under pressure. We're likely grinding sideways (maybe until summer per some analysts) until one side wins:
breakout above $71K on positive macro relief, or retest $65K–$66K if tensions boil over. Patience is key – this is the calm before the next leg? Or more chop?
What do you think: Bull trap or base building? Drop your levels below!
#Bitcoin #BTC
Bitcoin may face a key test this year as its long-followed Power Law price model approaches a potential “floor catch-up” point.
The Power Law model is a time-based regression that maps Bitcoin’s long-term price trend as a power curve, with rising upper and lower bands. The lower band (the “floor”) increases every day regardless of market price. If Bitcoin trades sideways or declines for several more months, this floor could catch up to price by late Q4 2026, creating the first historical break below the model’s support band.
As of mid-February 2026, price sits well above the projected floor but far below the central trendline. However, the cushion shrinks over time because the floor rises steadily. By October–December, only a modest pullback of roughly 4–6% from current levels could trigger a headline “model break.”
A break would not invalidate Bitcoin itself, but it would challenge this specific Power Law parameterization and suggest slower long-term growth than the curve implies. Critics argue these log-log power regressions are statistically fragile and sensitive to sample windows, while newer research still finds power-law behavior but with different slope estimates.
Key factors that could push price toward the floor include weaker ETF flows and macro risk-off shocks. The next several months are effectively a real-time test of whether the Power Law model has predictive strength or is mainly a curve-fit of historical data.