$INJ continues to rise strongly
Buy at 8.30–8.05; targets 8.56, 8.72, 8.90; stop-loss 7.85

If you can't hold, go work in a factory; if you can't hold, go to prison!
FiL production cut by 50%, unlocking completed, cumulative supply reduced by 77%
A hard-fork upgrade will take place on October 19.
Absolutely bullish news. I boldly predict that those who sell below $3 will most likely be selling halfway up!

Midnight's newly published roadmap targets tokenized deposits, private lending and private swaps for Q4 2026. NIGHT staking and community block production are slated for Q1 2027.
@MidnightNtwrk

An unpopular take: $INJ ’s current +10.99% gain is not as conclusive as it looks.
$INJ is currently at 8.423, up +10.99% over 24 hours. The 1-hour support is 7.061, resistance is 8.562, and current volume is 0.77 times the average volume of the past 20 periods. What is truly useful in these numbers is where 7.061 and 8.562 are containing the range.
This is where I currently stand: I acknowledge that the trend is strong, but what matters next is not how much higher it can surge, but whether buyers step in during the first pullback. The 1-hour trend is strong, with an RSI of 86; the 4-hour trend

BREAKING: Google reduces quantum computing errors by 40x using magic state cultivation on its Willow processor, published in Science.

First, a word for the bullish side $AAVE , then one for the bearish side.
The bullish side needs to prove that someone is buying above 158.98; the bearish side needs to prove that nobody is catching it after 147.05 gives way. $AAVE is currently at 158.72, up 3.44% over 24 hours. The 1-hour support is 147.05, resistance is 158.98, and current volume is 0.23 times the average volume of nearly 20 candles.
Before either side has fully presented its evidence, I’m more focused on the fact that $AAVE’s price has already moved, while trading activity and volume have not kept up. We can temporarily bel

$FIL I was the one who dumped it to the low of 1.0014, so don't rush to curse me.
Before a pump, someone has to wash out the weak hands. Do you think the 20% move from 1.0014 to 1.2009 formed naturally? That sharp drop in the early session was my 1,880-lot sell order, specifically hunting stop-loss orders around 1.05. After wiping out the long liquidity, I turned around and started buying at 1.01. At least 30% of the 218.2M trading volume consisted of my matched orders—without creating the volume, how would retail traders dare to follow?
It's now 1.1764, up 7.83%, and my core position is alrea

This is not a game... ✅️
Everything is fine!
🔥🐶🔥

BlackRock, with $15.5 trillion in assets under management, developed the strategies behind three of Ondo's seven tokenized model portfolios. Each is one token holding tokenized stocks, bonds and ETFs, rebalanced by smart contract.
@Ondo

In this $ZRO move, which step is easiest to be fooled by?
When I looked at $ZRO again, I first covered up the 24-hour +9.37%. It’s not that this number is unimportant, but it is too good at grabbing attention. What really needs explaining right now is that after $ZRO’s sharp 24-hour rise, momentum and continuation are not the same thing. I won’t extrapolate the large move that has already happened into the next leg; I’ll first see whether the price can hold in the new range.
The most convenient—and easiest to get wrong—reading is that the gainers and losers list records the past, while the mo

The Overlooked “Third Culprit” Behind the Crash—The Technological Progress of Chinese Memory Manufacturers

Most analyses have focused on the higher-than-expected CPI and concerns over AI financing, but I believe one factor has been seriously overlooked—the technological progress of China’s ChangXin Memory Technologies.

When analyzing the reasons behind the plunge in Japanese and South Korean stocks on October 13, Ying Xiwen, head of the research department at Minyin International, cited three factors: the sharp overnight decline in the U.S. memory chip sector, warnings from the CEOs of Int

10.16 $BNB Strategy chart 1 is the BNB 4-hour candlestick chart, and chart 2 is the BNB hourly candlestick chart.
From the larger timeframe in chart 1, we can see that BNB has touched the lower major ascending trendline today, namely the positions at 10 a.m. and 10 p.m. on October 15, corresponding to 708 and 712, respectively. Given the very obvious signs of price control in BNB recently, when BTC falls and ETH falls, BNB can always recover its price after falling.
If the broader market continues to make new lows in the near term, BNB is very likely to break below this 4-hour ascending trend

are cats gonna end up trading better than pigs?

Continue adding to long positions on $DASH here. 💪Entry range: 49.57 - 49.82Target profit 1: 52.10Target profit 2: 54.02Invalidation level: 48.08DASH is showing strong recovery momentum and has reclaimed the 1-hour MA99 resistance at 50.01. The 15-minute chart remains clearly bullish above the MA7 and MA25, so the current setup favors an attempted breakout, targeting the 50.50 liquidity zone. Trade 👇👇👇 hereHot coins: $SIREN : Current price 0.03206 - 24-hour gain: +44.09%$SOL : Current price 105.91 - 24-hour gain: +1.07%

$SIREN What’s so impressive about a 44% one-day pump? Let’s see it avoid a sharp wick down. The 24h low was 0.0203 and the high was 0.0332, a 63% swing. This isn’t a pump—it’s a meat grinder. The 95.9M trading volume shows that the tokens have already changed hands like crazy. There’s only one bullish argument: this kind of volume isn’t something retail traders can generate. If the pullback to 0.028-0.030 holds, that’s a second entry point; set the stop-loss at 0.026—if it breaks, even the whales have lost their nerve. The bearish case is even stronger: a 44% gain combined with massive 95.9M v

We are getting closer to $4M in fees per day on Hyperliquid again.
Add the $500k from the yield reserve and we are already there

10.16 $SNDK The strategy has once again reached everyone’s favorite moment: the “three storage clowns.” First, SanDisk’s decline is not over yet; it’s just that the short positions exited early, while long positions still have to withstand further downward pressure. We previously discussed one logic,
namely, the three underlying elements for training small and large AI models: 1. Computing power: continuously allowing small and large AI models to iterate and upgrade step by step; 2. Electricity: demand for computing power continues to rise, and stable power supply is the foundation, with typic

“You’ve been in crypto for 4 years, so you must be rich by now, right?” Me: a deeply relatable $ZE l $HYPE l $SUI holder