Old Huang cheats,
what’s that got to do with my Ethereum?
I’m getting caught in the crossfire just lying here.
If I cheat tomorrow,
does that mean U.S. stocks have to wobble too?

In BTC trading, how can you control your emotions? Don't let your emotions place orders for you!
In BTC trading, many people lose money not because they can't read the market at all, but because they can't control their emotions. When prices rise, they worry about missing out and can't resist chasing the rally; when prices fall, they fear their losses will grow and rush to exit; after a string of losses, they become eager to make the money back with their next trade. These behaviors may seem like spur-of-the-moment decisions, but they can gradually undermine an entire trading system.
So, how c

Why might a trading strategy’s returns come from just a few trades?

A strategy has high cumulative returns and a decent win rate.

But if you remove the few most profitable trades and the entire strategy goes from profitable to unprofitable, would you still consider it to have a stable trading edge?

This question is more worth examining than simply looking at returns.

I. First, look at where the returns actually come from

Suppose a strategy completes 100 trades and ends up with a net profit of $1,000.

On the surface, the strategy is profitable.

But a closer breakdown shows:

* The 5 most

How do you find key support and resistance levels when trading BTC?
In BTC trading, support and resistance levels are among the most fundamental and practical technical analysis tools. Many traders study candlesticks and various indicators every day, but overlook an important question: At which levels is the price likely to rebound, and at which levels is it likely to face selling pressure?
First, look at historical highs and lows. Levels where the price has rebounded multiple times may form important support zones, while levels where it has repeatedly failed to rise further may form resistanc

3:1, awesome, guys! BLG

Silver is looking strong. Long at 48.88—let’s go! $XAG

☀️ Good morning, everyone in the altcoin community! 🪙
A new week is underway! Last week was a thrilling roller coaster for the markets—the stronger-than-expected nonfarm payrolls cooled expectations for Fed rate cuts, and although the Nasdaq staged an oversold bounce on Friday, it remained under pressure for the week; our BTC also plunged in an instant amid a leveraged-position wipeout, briefly breaking through the $75K level and touching $73,420 before beginning an oversold recovery.
Even more explosive, the tech world dropped a bombshell over the weekend—NVIDIA CEO Jensen Huang (aka “Jense

Is BTC increasingly like the Nasdaq’s twin brother? Why is it always the first to follow when U.S. stocks fall?

People used to call Bitcoin digital gold. Now, many investors have found that sometimes it looks more like a tech stock that trades 24/7. The Nasdaq falls, and BTC plunges along with it; U.S. stocks rebound, and BTC quickly recovers too. This display of brotherly affection has gold wondering: “I’m the safe-haven asset—why are you two acting like family again?”
Actually, it’s no surprise that BTC and U.S. stocks have become more closely correlated. As institutional capital, spot ETFs

Jensen Huang admitted to cheating. Among American tech moguls, Zuckerberg is currently the only one who hasn’t slipped up.

Why Can Trading Strategies With High Win Rates Still Lose Money Over the Long Term?

Many traders like to pursue high win rates.

A 70% win rate sounds pretty good.

An 80% win rate seems even better.

But one easily overlooked issue is that if the amount lost on each losing trade is far greater than the amount earned on each winning trade, you can still end up losing money even if you are right often.

The win rate determines how many times you win, but it cannot alone determine how much money you ultimately make.

I. First, a Simple Math Example

Suppose two strategies each make 100 trades.

How do you develop a reasonable take-profit strategy when trading BTC? Don’t let profits you’ve already made flow back into the market!

In BTC trading, many people can find good entry opportunities but often don’t know when to exit. When prices rise, they always hope to make even more; then, when the market suddenly pulls back, profits they had already made gradually disappear. The problem is often not an inability to judge the market’s direction, but a lack of clear take-profit rules.

So, how do you develop a reasonable take-profit strategy?

First, set profit targets in advance. Before ope

BTC fell below 76k, and altcoins followed suit, triggering over a billion in liquidations; Pi is also sitting at its all-time low. The November 17 ecosystem summit will host a hackathon to see whether the ecosystem can get back on its feet.

After Jensen Huang admitted having an affair, a whale opened a 10x short on 30,000 $NVDA ($5.44M) on Hyperliquid.

11.9 ETH Analysis

Analysis: Look to short a rebound around 2160-2180, with a stop at 2200. First target: 2120; second target: 2080.

On the 1H chart, the market plunged on heavy volume in the early morning, hitting a low of 2060 before making a slight recovery. All short-term moving averages are acting as resistance. This is merely an oversold recovery after a sharp drop. Volume increased on the decline and decreased on the rebound, so the overall bearish structure remains unchanged. As the rebound reaches this resistance zone, favor a rejection and pullback. Until the price holds steady at t

Why might a trading strategy’s returns come from just a few trades?

A strategy has high cumulative returns and a decent win rate.

But if you remove the few most profitable trades and the entire strategy goes from profitable to losing, would you still consider it to have a stable trading edge?

This question is more worth exploring than simply looking at returns.

I. First, look at where the returns actually come from

Suppose a strategy completes 100 trades and ends up with a net profit of $1,000.

On the surface, the strategy is profitable.

But a closer breakdown reveals:

* The first 5 pr

#美国10月CPI即将公布 At 4 a.m., people were still yelling “buy the dip.” Now they’re deleting the words “bought the bottom.” This isn’t confirmation of a bottom; it’s the next round of checkups for Paper Hands.

Who’s hurting most today?

ETH is currently at 2,140, down 4.37% in 24 hours, with a range of 2,060–2,246. One big red candle wiped out two days of gains, with trading volume of 436 million. BTC is at 75,107, down 0.93%; it touched a high of 76,200 before getting slammed back down, while its 24-hour average of 75,186 is still hanging overhead. SOL is at 87.28, down 2.67%; only BNB, anchored t

11.8 Morning Bitcoin Market Analysis$BTC

Bitcoin saw a deep correction today, dipping to around 73,300, down more than 2,400 points. The sharp drop was triggered by a steep sell-off in U.S. tech stocks combined with differences over Fed rate hikes. Liquidations across the network exceeded $1 billion in 24 hours, with leveraged long liquidations amplifying the decline. The market is currently in a recovery window following the sharp drop.

Technically, the 74,000–75,000 range has held steady for now after repeated tests. The four-hour MACD red bars are contracting, and the DIF appears poised

From the perspective of the corrective structure (if this is a correction), I think BTC has basically completed the move:
#BTC闪崩插针
1, The first leg down was 87-80, followed by a rebound; the second leg down was 85-735;
$BTC
2, ① The second leg down has already exceeded a 1:1 move relative to the first leg down. The wick has now reached 1.382; if it drops further and hits 1.618, the structure will be invalidated; ② The wick to 735 broke below the Wave 4 low of the previous upward move, where there should be a large number of stop-loss orders.

The corrective pattern has played out fully, and

$2.5 trillion evaporated overnight! AI stocks cool off—will BTC be the next victim?

What does $2.5 trillion mean? If it were a sum of money, it would be enough to make countless investors rethink what risk management means. The Nasdaq plunged 5.5% in a single day, and AI stocks sank across the board. The market has finally started taking a serious look at one question: The future of artificial intelligence is bright, but are prices too high right now?
Previously, investors were willing to pay high valuations for the AI growth story. As long as data center expansion, chip demand, and capital s