$AERO Fake Breakout Strategy: Another Real-Chart Example
A trading strategy should not depend on one coin, one timeframe, or one perfect-looking chart. What matters is understanding the price behaviour behind the setup.
In the previous article, we introduced the Fake Breakout strategy using JUPUSDT. If you missed it, you can read it here:
Previous Article: Fake Breakout — When a Breakout Becomes a Trap
This time, let’s look at another example: AEROUSDT on the 1-hour chart.
The goal is not to predict every move or present a perfect trade. We want to recognise the sequence that can turn an appar

Oct 12 Update:
#Bitcoin ETFs:
1D NetFlow: +127 $BTC(+$10.49M)🟢
7D NetFlow: -8,538 $BTC(-$704.12M)🔴
#Ethereum ETFs:
1D NetFlow: -25,446 $ETH(-$64.22M)🔴
7D NetFlow: -208,593 $ETH(-$526.4M)🔴

#LedgerAttacksAllTracedToCryptoBilis $93.2 Million Drained Across 315 Wallets: A Hardware-Wallet Supply-Chain Security Wake-Up Call
A hardware wallet is designed to protect crypto assets by keeping private keys secure but what happens when the device itself may have been compromised before reaching its owner? The Ledger–CryptoBilis incident has raised that question after blockchain analytics firm Bitquery estimated that approximately $93.2 million was drained from 315 wallets across six blockchains. The figure is an investigative estimate, not a final independently confirmed loss total, and th

Even if AI-generated reviews look polished yet fail to spot a single error, what use are they?
The paper *Beyond Imitation* puts it bluntly: the core task of peer review is to find errors, not imitate the polished rhetoric of human reviewers.
A model producing a well-worded, neatly structured review is entirely different from actually catching a logical flaw.
That is why the study shifts its focus to verification and contradiction detection, changing the evaluation standard from “how much does it resemble a human review?” to “can it actually find the errors?”
I think this shift was bound to ha

So cute,
I just want to pick it up and smother it with kisses.

$SNDK short position successfully cashed out, profits secured precisely!
Before the market opened, I had already shared tonight’s short-selling strategy with everyone, clearly reminding everyone to watch for short-side opportunities.
Friends who didn’t follow along don’t need to worry. There are opportunities in the market every day; if you missed this move, patiently wait for the next high-probability setup.

Today's subscription order: short at 2575, high 2578, low 2518, 3-point risk, 40-point profit

$SKHYNIX
Liquidated 900 times and still able to get back up? This coin must have trained in the Iron Shirt technique😂 Leverage gets your heart racing, but the stop-loss is like a roller coaster🎢 You’re betting on a comeback, while I’m watching for a breakdown and plunge. Sideways trading is a meat grinder; surviving is the real skill🤔

Bitcoin and Ethereum’s directions in both intraday sessions were dominated by the bearish side, precisely matching expectations for a decline, with 1900+50 points of gains securely locked in!
$BTC $ETH

Are you bullish or bearish of this chart?
$SPY #SP500 Leads 🌟

0192837465657483920 The 15-minute trend type shows no divergence no matter how it is decomposed; it is still accelerating, so how can the decline stop? The one-minute departure is accelerating again as well. Just wait patiently

$RSR ’s price action deserves some discussion.
It’s up 51 points in 24 hours and 40 points over 7 days, but the most crucial thing is—the trading volume is 47 times the usual level. Forty-seven times, holy shit.
But if you watch the chart closely, you’ll know this isn’t the kind of move that shoots straight up—it’s the kind that slaps you back and forth. First it surges, then once the people chasing longs place their orders, bam, a long wick gets slammed down; once the panic sellers finish unloading, whoosh, it gets pulled right back up. Killing both sides back and forth, harvesting longs and s

📰🔥 TODAY IN HISTORY 🔥📰
📆 — OCTOBER 12
🌎📜 A DAY OF DISCOVERIES, SYMBOLS AND GREAT MILESTONES IN HISTORY! 🇧🇷🌍
━━━━━━━━━━━━━━━━━━
⚔️📜 EVENTS
🏛️ 539 BC — Cyrus the Great conquers the city of Babylon, marking the fall of the Babylonian Empire.
⛵ 1492 — Christopher Columbus reaches the island of San Salvador in the Bahamas, believing he had reached the Indies. An event that would change world history.
🏦 1808 — Dom João Maria de Bragança founds Banco do Brasil, one of the country's most important financial institutions.
🍻 1810 — Munich, Germany, holds the first Oktoberfest, celebrating

#BTW They've all gone up 100x from the bottom—can they still rise further? I really want to short them!
$BTW ‌

JUST IN: Nvidia nearing $6 trillion market cap as AI chip demand shows no signs of slowing.
For context: that's more than the entire crypto market. Macro momentum on AI infrastructure remains the dominant trade.

The forecast came first; the market followed
When the entire market was calling for a reversal and new highs in the early hours of October 12, Tong Ge clearly gave the call: short at 840-845, stop-loss at 850, first target 825, second target 805.
The market peaked at 84340, precisely meeting resistance in the resistance zone, while the 850 stop-loss level was never even touched; it then fell all the way to the current low of 82895, fully capturing the 1,700-point move! The first target of 825 was reached perfectly!
I said it at the time: Don't get carried away just because you see a bullish ca

The following passage is worth 1 million🤒
Why does everyone in crypto ultimately end up losing money?
Actually, many people start out with the right idea
For example, you buy a value coin, research the project, and know it could potentially double in the future. But the problem is that this process may require enduring a year while watching other altcoins rise tenfold day after day, whereas the coin you hold remains barely alive
Gradually, you start to feel restless
You think about switching positions to take a shot at a tenfold coin and then returning to add to your position after making mon