I've emphasized countless times that in the current environment, all macro signals other than interest rates are noise for gold. Otherwise, why do you think $XAU has been the lone standout in this downturn?

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#美股史诗级抛售
In my view, the next major opportunity in the artificial intelligence sector may not lie in investments in chips or data centers, but rather in companies capable of transforming AI into actual revenue and sustainable profit.

The market is no longer just looking at the scale of investment in AI infrastructure; it is now questioning when—and to what extent—these investments will yield returns. Consequently, we may see a significant divergence among companies in the coming period.

Companies that could stand out:

1. Alphabet (Google) (GOOGL): Possesses strong revenue potential through

#CryptoMarketUnderPressure
#CryptoMarketUnderPressure

The cryptocurrency market is facing increasing pressure as major digital assets experience price fluctuations and investors become more cautious. Market uncertainty is growing, and traders are closely watching Bitcoin, Ethereum, and other leading cryptocurrencies to understand the next direction.

The crypto market is highly sensitive to global economic conditions, investor sentiment, and financial developments. When traditional stock markets face heavy selling pressure, cryptocurrency markets can also experience uncertainty. This connect

The point where a trading system is most likely to fail may not be the entry signal.

A trading strategy may perform well in backtesting and run stably in a simulated account, but once it enters the live market, the results may be completely different.

The first reaction for many people is: Are the entry signals not accurate enough? Do the indicator parameters need to be re-optimized?

But if every time you incur a loss, you only think about changing the entry signals, you may keep fixing the wrong thing.

The real question is: Between generating a signal and finally executing a trade, how ma

What Is Trading Expectancy? How Can Win Rate, Average Profit and Loss, and Trading Costs Help Determine Whether a Strategy Has a Long-Term Edge?

In cryptocurrency trading, making money with a strategy in the short term does not mean it will work over the long term. Catching one major market move by chance can mask problems with the strategy itself. Trading expectancy helps us evaluate a strategy from a broader perspective, rather than judging it based on just a few wins or losses.

First, what is trading expectancy?

Trading expectancy is the average profit a strategy may generate per trade w

$UAI $UAI is now heavily long, with a long entry price of 0.1558 and a later sale at $0.4420 $UAI 👇

Should BTC Traders Choose Short-Term, Swing, or Long-Term Trading?

In BTC trading, many people are always looking for the most profitable way to trade. They see others making frequent profits with short-term trades and start learning day trading; they see others earning returns by holding for the long term and think they should stick with long-term investing. In reality, no trading style is absolutely better or worse than another. What matters is whether it suits your schedule, capital, and risk tolerance.

First, short-term trading: Focus on flexibility and efficiency. Short-term trades usua

#美股史诗级抛售 #每周来晒 A $2.3 trillion overnight bloodbath! Nasdaq plunges the most since 2020—could the AI rally be about to change course? — Chip stocks are “slaughtered”: short-term deleveraging or the start of a deep correction?

November 5, 2026, is destined to go down in U.S. stock market history.

At the close that day, the Nasdaq Composite plunged 5.5% to 24315, officially entering correction territory; the Nasdaq 100 sank 6.4%, wiping out about $2.3 trillion in market value in a single day and marking its biggest one-day drop since March 2020. The S&P 500 fell 4.4% to a three-month low. The M

$BIRB I missed out on 20 points by selling too early this time, but I don’t regret it one bit.
I got in at 0.081, watched it for three days, and sold at 0.093. Then today it hit a high of 0.1055, up 22.96% in 24h, with 69.4M in trading volume. You think that stings? It does. But if I could do it over, I’d still sell at 0.093. Why? My entry strategy was to capture the most certain part of the move—the fish’s body. The tail has too many bones, and I don’t have the teeth for it.
Let’s review the trade. I bought at 0.081, when the 24h low was 0.0807, so I was basically buying right at the intraday

$Q All in, ready for takeoff🛫🛫

I think even these are too few; penalties should be doubled and all rules enforced, but applied to everyone.

Democrats take power in the midterms, and the AI bubble arrives;
Just when data is needed most, the choice is to ban accounts across a large number of regions;
More and more executives are leaving Anthropic ahead of its IPO.
—With timing, conditions, and support all against it, Anthropic has none of them on its side in this IPO😮‍💨
Blackstone rates it a “junk-grade” stock. Anthropic has made a colossal mess of things—who does it think it's fooling?
In the weeks leading up to its IPO, Anthropic pushed its hype around “safety,” “alignment,” and “responsibility to humanity” to the extreme. But a

Bitcoin outlook: At this stage, we are bullish and looking for suitable opportunities to go long at lower levels. This pullback is more of a deep shakeout during the uptrend and has not directly damaged the broader bullish structure. After repeated tests of key support below, buying interest has continued to come in.

Although the short-term market may remain choppy, downside momentum is weakening, and conditions for a bullish counterattack are gradually maturing. A reminder to everyone: being bullish does not mean entering blindly. Entry levels are crucial. Chasing highs carries very high ris

What Is Confluence Among Trading Signals? Why Don’t Multiple Indicators Sending Similar Signals at the Same Time Guarantee a Successful Trade?

In cryptocurrency trading, traders often use moving averages, RSI, MACD, trading volume, and support and resistance analysis at the same time. When multiple signals point in the same direction, many people assume the probability of a successful trade must be higher. But having more signals does not mean there is sufficient evidence, nor does it mean the market outcome is certain.

First, what is trading signal confluence?

Trading signal confluence ref

Why are AI stocks AND Bitcoin crashing?
$2.5 TRILLION wiped from stocks. Nasdaq down 5.5%. Bitcoin below $76K. Wall Street is panicking over Democrats' plans to restrict AI data centers.
But here's the twist, guys.
Trump still has veto power, the proposed restrictions aren't law, and Bitcoin is getting dragged down with tech.
Now Democrats are preparing another fight over crypto regulation. Markets are pricing in a political nightmare. But how much of it can actually happen?
New video coming later today

$ZEC A signal to enter a long position has appeared. This time, I’m opening the position with a “position experience coupon.” To reduce holding risk, I won’t add to the long position over the next 24 hours. #美股史诗级抛售 #10月非农数据聚焦 #作手分析

#10月非农数据聚焦
The October US Nonfarm Payrolls Report is becoming one of the most closely watched economic events of the week. Investors, traders, economists, and financial institutions are preparing for fresh employment figures that could provide important clues about the strength of the American economy and the Federal Reserve's future monetary policy.

The US labor market has become an important source of uncertainty for financial markets. Although the economy continues to demonstrate resilience in several areas, hiring activity has shown signs of slowing. This makes the October employment repo