Brother Bj arrived at the office at 10 a.m. and opened his futures account. He’s currently down 730,000, and his oil positions are down more than 4 million.
At noon, we grabbed a quick bite, then talked until now. He shared how he built his wealth trading steel in previous years, and today he brought along a bottle of 30-year-old Kweichow Moutai.
We talked in depth over tea. My biggest takeaway: if you don’t understand technical analysis, you absolutely shouldn’t touch futures. This business is nowhere near as simple as people imagine.
The most eye-opening thing was that Brother Bj feels no pr

What Is Data Leakage? How Does It Differ from Lookahead Bias, and How Can You Avoid Misjudging Machine Learning Trading Models?

In crypto quantitative trading, machine learning models may achieve very high accuracy on a test set but perform poorly once deployed in live trading. Sometimes the problem is not that the model is insufficiently complex, but that data leakage occurred during training and evaluation, indirectly giving the model access to information it should not have known.

First, what is data leakage?

Data leakage occurs when information that should not be available for the curre

Following 11/7, a major counteroffensive began yesterday!

After hitting the bull-bear dividing line, momentum fizzled. The last three times it fell below MA200 and recovered, sustained gains followed. Now it has reached another critical juncture!

Whether it can reclaim and hold this level is what technical traders are most focused on right now. #标普500创7个月最大涨幅

Something to learn from this $Ger40 setup👇
If you know how i trade you would notice my entries always has either an Inducement or an Engineered liquidity....
Well this trade met all my criteria for a potential trade setup except Inducement/Engineered liquidity, i could have easily risked it, but that would mean going against my rules...
A setup can look promising and still not deserve your money if it doesn't meet your trading rules.
One of the easiest ways to lose discipline as a trader is to start making exceptions for setups that look too good to miss. Once you start bending your rules f

What Is Multi-Timeframe Analysis? How Can You Combine Short and Long Timeframes to Avoid Making Poor Decisions Based Only on Local Price Action?

In crypto trading, BTC may be rising on the 5-minute chart while still being in a clear downtrend on the 4-hour chart. If traders only watch short timeframes, they may mistake a bounce for a trend reversal. Multi-timeframe analysis involves examining price structures across different timeframes to help traders understand the relationship between local fluctuations and the broader trend.

First, what is multi-timeframe analysis?

It means observing se

$ZEC Support holds; buy the dip on pullbacks🔥

Since the positive news materialized, short-term profit-takers have started selling ZEC at highs. However, Xing Jie believes this catalyst is real, with more positive developments expected at the end of the month. ZEC still has upside potential in the long term.

Xing Jie thinks buying pressure for ZEC is starting to increase. To prevent bears from breaking through the dense long liquidation zone near 1125, 1120 is a key support level. As long as this level holds, a rebound trend could follow.

You can go long around 1110-1125, take profit conser

WTI Crude Oil is not at all liking this De-escalation in US-Iran War..
Stock Markets However, are loving it..

The U.S. October CPI data will be released tonight at 21:30. The headline CPI monthly rate is expected to fall to 0.30% from the previous reading of 0.60%, while the core CPI monthly rate is expected to decline to 0.20% from 0.30%. The market expects inflationary pressures to ease.

There are three main scenarios for the release:

In line with or below expectations: Cooling inflation is confirmed, rate-cut expectations may rise, and the market could recover.

A stronger-than-expected rebound: Stokes concerns that inflation is persistent, revives expectations of tighter policy, and may put pres

There’s no question that being bullish on gold makes sense; I’ve been emphasizing buying on pullbacks over the past couple of days.
World Gold data shows that global central banks made net gold purchases of 321 tons in the third quarter, up 42% year over year and setting a new record. The key drivers are reserve diversification and risk management.
So central banks are providing a floor for gold, but I still recommend waiting for tonight’s CPI data. If gold plunges because the CPI data is very bad, that’s your chance to buy at a steep discount.
If U.S. stocks plunge in the future and gold plun

This is probably a good buy for the coming years $URNU

What’s Behind the U.S. Stock Market Rebound?

When U.S. stocks rebound, the market often focuses first on the Nasdaq and tech giants. But this time, investors should ask a more important question: has the market’s leadership changed?
In recent times, AI and tech stocks have become a key pillar of the U.S. stock market, backed by strong capital spending and earnings expectations. But as valuations rise, investors are also starting to look for new opportunities.
If this rebound is merely a technical recovery, stocks that fell the most previously may rebound first, with gains broadening across th

What is backtest overfitting? Why might a strategy with perfect historical performance fail completely in live trading?

In cryptocurrency trading, some people keep adjusting indicator parameters, take-profit and stop-loss levels, and entry conditions until backtest returns are maximized. But better historical performance does not necessarily mean a more reliable strategy. Overfitting historical data can instead make a strategy less able to adapt to future markets.

First, what is backtest overfitting?

Backtest overfitting is when a strategy becomes excessively adapted to price movements and

The hacker's moves are hilarious: the UXLINK hacker barely had time to enjoy the stolen money before taking a massive loss.

The hacker finally cut losses and closed a 30,000 ETH long position held for nearly three months 11 hours ago. At its peak, the position was up $16.8 million! But guess what? In the end, it actually lost $1.106 million, closing at an average price of just $2,135.2.

After holding for three months, going from making tens of millions to losing over a million—at least it wasn't their own money. The hacker must be furious at Ethereum for failing to get it up!

For a 66th straight day, US traders bid $BTC below the global price as it held flat on the day. Trading ran less one sided than on most days of the past 90 days. On $AVAX , open bets rose 20.7% alongside price, with longs building.

➥ Your exchange balance was verified at $50,000. You withdraw $45,000 five minutes later.
Does the original proof suddenly become invalid?
Not necessarily.
And this is one technical challenge worth discussing as zkTLS moves into financial applications.
I've been looking deeper into @primus_labs, particularly what happens after an attestation has been generated.
Primus uses zkTLS to authenticate information retrieved from external sources, allowing applications to verify claims without blindly trusting user-submitted data.
But here's the catch.
Cryptographic validity and data freshness are two

When the market is flat, that's when you lose the most.
Why? Because when the market gives you no opportunities, you create them yourself.
After three days of sideways trading, you think, “It has to move soon,” and place a trade.
You lose on that trade, refuse to accept it, and place another.
By the end of the day, the market has moved just 0.5%, but you’re down 8%.
So the key to keeping your hands off isn’t “resisting”—it’s “making sure your hands can’t reach it.”
First: turn it off.
Remove your trading app from your phone’s home screen and bury it in a folder.
Close all the browser tabs on y

#Gate股票暢聊季 Nvidia loses $1.4 trillion in a month, but I cast my vote for Broadcom

After the US midterm elections in early November, the market began worrying about tighter data center permitting and regulation. The AI sector saw its most severe single-day sell-off of 2026: SOXX fell 12% in one day, Nvidia dropped more than 9%, and Broadcom fell more than 10%. The first rebound came on November 6 (AMD +11%, Intel +8%, Micron +5%). On November 9, the Philadelphia Semiconductor Index rose another 6.85%, with AMD up 13.26%, Broadcom up 8.78%, and Micron up 6.25%—but Nvidia bucked the trend, clos