Compared with other KOLs in the Chinese-speaking community, BitZhi at least has the guts to admit it. That alone puts them far above KOLs who don’t even disclose their live trades.

OpenAI gives veterans one year of free ChatGPT Plus; more than 20,000 have claimed it
OpenAI said in a post on November 11, 2026, that more than 20,000 veterans and active-duty service members transitioning out of the military have claimed a year of free ChatGPT Plus over the past year. The program was driven by veterans within the company, with identity verification assisted by . One easily overlooked point: the free memberships have already been distributed, but most recipients have not attended training. Those who have put it to use have focused on practical steps like job searches, résumé

$ZEC ZEC is plunging! From four digits to three?
It got slammed from 1044 to 965 in one candle, down 5.39% on the day. Now at 987, and everyone in the group yelling “to zero” has shown up.
But let me tell you: this isn’t a crash—it’s the big players shaking people out!
The daily chart broke below EMA120, and MACD has a death cross. The trend has indeed turned bearish.
4H low: 965. TD flashed "9"; a short-term bounce is due.
The Bollinger lower band at 993 was breached; it’s oversold.

What to do?
Long: Lightly enter at 968-972, stop-loss at 958, targets 1000 and 1030.
Short: Don’t chase! Wait

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Why do some traders start increasing their position sizes after several consecutive wins, while after consecutive losses they tend to forget the trading rules they originally set?

There is an easily overlooked issue behind this: traders’ perception of risk changes with their recent gains and losses.

After consecutive wins, people tend to attribute their good fortune to their own ability.

As a result, positions that were originally cautious start getting larger, strict entry conditions begin to loosen, and they may even believe the next trade is worth taking on greater risk.

After consecuti

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Why can a backtest show a high win rate while live trading continues to lose money?

Have you ever seen a trading strategy like this?

The backtest shows a 70% win rate, with the equity curve rising steadily. The parameters have been optimized repeatedly, and the historical performance looks impressive.

But once it goes live, the account begins to bleed slowly.

Some people think market conditions have changed, others believe the parameters still aren't good enough, and some start looking for new indicators.

But before changing the strategy, there is a more important question:

Does your bac

📊 Global Markets at a Crossroads: Inflation Surprises & Asian Market Surges

The financial landscape is buzzing with major macroeconomic developments this week, creating both unique challenges and massive opportunities for crypto and traditional asset traders alike! Let’s break down the key narratives dominating the markets right now:

1️⃣ US October CPI Beats Forecasts: Is the Fed Turning Hawkish?
The Numbers: The latest US Consumer Price Index (CPI) rose 0.4% MoM (above the 0.3% expected), while core CPI climbed 0.3%, also beating forecasts.

The Market Impact: Persistent inflation press

It’s been a long time since I heard the word “Yuanbao.” I didn’t expect the next time to be because Yuanbao Search had launched.

Why do some trading strategies make money in backtests but fail to cover trading costs in live trading?

A trading strategy shows profits every month in backtests.

But once you start trading for real, you find that your account returns are far below expectations. You may even predict the direction correctly, yet your account balance keeps falling.

The problem may not be that you misread the market, but that you underestimated trading costs.

Profits in a backtest are only theoretical results. Returns after deducting real trading costs are closer to what you can actually keep.

I. Trading cos

“Don’t” in a prompt is often treated as an example
After you put prohibitions in a prompt, the finished draft sometimes acts them out first, then declares it has avoided them.
[Prohibited items]
The earlier “Don’t write it like news” appears, the more likely the opening is to sound like a news lead.
[Next draft]
The cliché you crossed out often reappears somewhere else in the next version.

How can you tell whether a trading strategy has a genuine statistical edge rather than making money through luck?

One of the easiest things to misjudge in the trading market is treating profits as proof that a strategy works.

A string of profitable trades could mean the strategy has an edge, or it could simply have encountered market conditions that suited it.

So how can you distinguish between the two?

The key is not how much a few trades made, but whether, under sufficiently reasonable testing conditions, the strategy has a repeatable positive expected value that remains positive after c

When BTC Shows Bearish Divergence, Does It Mean a Drop Is Imminent?

In BTC technical analysis, bearish divergence is often seen as a warning sign that an uptrend may be weakening. But many traders rush to open short positions as soon as they see bearish divergence. Instead of falling, the price continues to rise, and they end up getting caught on the wrong side of the move.

So, how should you interpret bearish divergence?

First, understand the basic principle of bearish divergence. When the BTC price keeps making new highs, but the highs on the RSI or MACD indicator gradually decline, beari