One month ago I flagged this chart. We were at the trendline that has marked the top every single time over the past 4 years.
Instead of aping into ETH at 2800, you now have ETH at 2200, with possibly slightly lower still to come.
▫️ The trendline rejection played out
▫️ We’re officially back in the DCA zone for $ETH and altcoins

Divergence: $BNB at the current price of 705.69, short-term strength and long-term weakness have yet to reconcile. The one-hour trend is strong, but volume is less than 70% of average, while the price is near the intraday high of 709.05; if the direction is truly strong, why hasn’t participation risen in tandem? The four-hour trend is weak, indicating that the larger timeframe has not yet given this short-term move a definitive verdict. Only if the price stays above and holds the intraday high is the strength worth reassessing; a spike followed by a pullback is just surface-level action. Trea

$XRP is currently at 1.2548, up 0.82% over 24 hours. The 1H chart is relatively strong (RSI 48.22), while the 4H chart is relatively weak (RSI 57.25), showing divergence. Price is near the 1H support at 1.2452. If it holds above the 1.2577 resistance, a rebound may be worth watching; if it breaks below the 1.2452 support, it could move lower. The key levels to watch are whether price can hold above 1.2577 and whether it can reclaim 1.2452 if that support is lost. Market volatility is high; for observation only.

$NEAR will cook hard if we get a bounce on the market.
The BTC pair looks strong so we should see outperformance as long as the market doesn't die.

11.1 ETH Analysis
On the 1-hour ETH chart, after an earlier sharp drop, price entered a corrective phase, gradually climbing with support from the lower Bollinger Band and trading above the middle band. The bandwidth is narrowing, and BBW volatility is low, indicating a typical consolidation phase following an oversold move. TTMU’s long/short bias is slowly shifting toward the bulls, but net capital flows have turned negative, casting doubt on the sustainability of incremental buying. This rebound is a mean reversion following an unjustified sell-off, not a major bullish reversal, and selling

Bitcoin is definitely heading lower but expect a bounce first.
$btc

Wait, why is everyone saying that famous influencer Benben gained 8,000 followers overnight? How did he do it? Does anyone know the full story?🥲
So all the things I’ve been doing are just dead weight?

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I found two very interesting cycles
The first chart shows the range-bound pullback after the rebound from the 2022 BTC bottom
The second chart shows the present, when [the largest hack in history occurred]
Yet it didn't break below the previous low
The first chart also still shows
That even if the previous low is broken
It doesn't mean the early bull market hasn't already begun
So the early bull market is extremely difficult to judge and navigate
Instead, technical analysis and experience can help identify intermediate lows
The most important thing in investing is to avoid losses; profits will

Seres said in its investor relations activity record that its partnership with Huawei is a long-term, stable strategic collaboration built on mutual trust. AITO has surpassed 1.2 million users, and the two companies have jointly formed a dedicated team to upgrade AITO’s business. HarmonyOS Intelligent Mobility previously announced that the two sides had reached a new five-year cooperation agreement.
This looks more like a further clarification of their channel strategy and brand positioning. With the user base now at 1.2 million, the next question is whether the dedicated team can actually imp

$AKE $AKE has fallen below 0.01, yet its market cap is still over $200 million. It could still fall several times further, so stop buying the dip

$floki is good buy and hold.
W pattern breakout will send it to new ATH.

Bitcoin is gradually moving upward, but this movement is not trusted due to the weekend. We may experience quick ups and downs throughout the day. Let’s see how things unfold on Monday.
$BTC

And we must archive our goals

Learned helplessness
The formal term is learned helplessness.
It refers to behavior displayed by subjects
after repeatedly enduring unpleasant
stimuli.
In human psychology,
learned helplessness is related to the concept of self-efficacy,
or a person's belief in their ability to achieve goals.
The theory of learned helplessness holds that clinical depression
and related mental illnesses
may result from disappointment with the outcome of a situation
and a belief that one cannot control that outcome.
The theory of learned helplessness was first developed in 1975
by Martin Seligman, a professor in

Exin Therapeutics says its AI agent used an Anthropic Sonnet model and a robotic arm to perform brain injections on epileptic mice. The AI autonomously selected the vector, brain region, and coordinates, then injected 250 nanoliters of medication. The mice recovered well after surgery.
This marks another step in laboratory automation: given only a target and tools, the model can string together drug selection, localization, injection, and bleeding monitoring. But treating epilepsy in one mouse does not mean it is ready for clinical use; humans still need to set the safety boundaries.
$BTC
#量化达

Heard Grok @bot is down?
The quota gets used up all at once. Only someone like me on Uitra
wouldn't even notice; every time I use it, it needs to refresh before it even hits 20%