Daytime volatility is still relatively slow; Bitcoin is taking a 600-point move first!

So Strategy and Metaplanet have officially been kicked out of the game by MSCI!
MSCI confirmed it will remove Strategy and Metaplanet from relevant indices, effective after market close on November 30.
The reason is that MSCI views companies with 50% or more of their assets in Bitcoin as investment funds rather than operating businesses.
Immediately after the announcement, $MSTR fell about 3%.
Notably, JPMorgan had warned that outflows from $MSTR could reach $8.8 billion if other index providers follow MSCI.
For Strategy, this is clearly a major blow. Its large Bitcoin holdings were once an

Why can a trading strategy work in a ranging market but fail in a trending market?

Have you ever encountered this situation?

A trading strategy performed well over the past few weeks. It sold when prices rose and bought when they pulled back, making repeated trades and still earning profits.

But suddenly one day, the market starts rising steadily, and the original strategy keeps selling, missing the subsequent move; or the market keeps falling, and the strategy repeatedly tries to catch the bottom, triggering stop-losses in succession.

The problem may not necessarily lie with the strategy

$FET Swing Long Trade
Entry: CMP
SL: 0.1253 (4 Hour)
Make sure to have some sort of hard stoploss below this. Looks good.

Why does rushing to break even after a trading loss often make things worse?

In cryptocurrency trading, losses themselves are not necessarily the most dangerous thing.

What truly deserves caution is how you react after a loss.

When an account experiences a drawdown, some traders immediately look for the next opportunity, hoping to earn back their losses as quickly as possible. They may increase their position size, trade more frequently, or even abandon their original trading plan.

The result is often that they take on more unnecessary risk to make up for previous losses.

After a loss, th

$QNT Open another large short position—then make big profits. Entry price: 182 - 236. Stop loss: 253. Take-profit: 173. Take-profit: 128. Take-profit: 76. Execution and deployment delays: Implementing traditional banking services still requires multiple stages, and major expansion hubs such as Singapore have yet to complete full operational deployment. Short here $QNT 👇

Why does rushing to break even after trading losses often make things worse?

In crypto trading, losses themselves are not necessarily the most dangerous thing.

What truly deserves caution is the reaction after a loss.

When an account suffers a drawdown, some traders immediately look for the next opportunity, hoping to earn back their losses as soon as possible. They may increase position sizes, trade more frequently, or even abandon their original trading plans.

The result is often that they take more unnecessary risks in an attempt to make up for previous losses.

After a loss, the most i

$ONDO Short at 0.358 on the 4-hour chart. I want sellers to apply pressure at this level, rather than letting price merely wick through it. If the closing price is above 0.364, I’ll abandon this idea. First 0.353, then 0.351. The 4-hour price is 0.357, below the EMA50 at 0.373, so sellers remain in control of the market structure. Stop-loss risk is 1.8%, while the potential gain to the third target is 2.9%; if the trade plays out, that’s about 1.6R. 🔴 Short entry: 0.3567–0.3578 Take profit: 0.3534 / 0.3508 / 0.3469 Stop loss: 0.3638 Not financial advice · Do your own research

BTC Position Management: How to Allocate Funds Scientifically and Reduce Trading Risk?

In BTC trading, many people research market direction every day, looking for the best entry and exit points, yet overlook a question that may be even more important than predicting direction: position management.

Why do some people correctly predict market movements many times, yet ultimately fail to achieve the returns they hoped for? One reason is unreasonable position sizing. A single oversized trade can wipe out gains from multiple previous trades.

First, determine the risk per trade based on your acc

11.12 Thursday Midday Market Analysis
The downtrend has yet to reverse. ETH’s most obvious issue is not whether it can rebound in the short term, but that rebounds have consistently failed to change the broader weak structure.
On the 4-hour chart, after retreating from a high near 2449, ETH has continued to form lower highs and lower lows, with a low of around 2003. Although the price has returned to 2055, it remains in a downtrend overall.
After rebounding to 2103.6 on the 4-hour chart, ETH faced selling pressure again, indicating that a clear supply zone has formed around 2100. The rebound f

Gold Continues to Attract Inflows. Why Has Bitcoin Not Risen in Tandem?
A curious trend has emerged in financial markets recently: gold and Bitcoin are both viewed by some investors as alternative assets outside the traditional financial system, yet their capital flows have diverged significantly.
Data released by the World Gold Council on November 5 showed that global physically backed gold ETFs saw net inflows of about $2.7 billion in October 2026, marking a fourth consecutive month of net inflows. Global gold ETF holdings increased by 19 tons to 4,275 tons, setting a new month-end record. I

Why Can a Trading Strategy Work in a Range-Bound Market but Fail in a Trending Market?

Have you ever encountered this situation?

A trading strategy performs well over the past few weeks. It sells as prices rise and buys as they pull back, generating profits through repeated trades.

But then one day, the market starts climbing steadily, and the original strategy keeps selling, missing the moves that follow; or the market keeps falling, and the strategy repeatedly tries to catch the bottom, triggering stop-losses one after another.

The problem may not be the strategy itself, but that market

Why Are Traders More Likely to Underestimate Risk After a Winning Streak?

A winning streak is normally something to be happy about.

But in the trading market, getting several calls right in a row can also quietly change the way someone makes decisions.

Some people start increasing their position sizes, others loosen their stop-losses, and some believe they have figured out how the market works. The risk has not disappeared; recent success has simply made it less noticeable.

I. Why Can Profits Change Risk Perception?

1. Mistaking Short-Term Success for Long-Term Ability

Several profitable

🔥 What are we discussing today? Gate Square’s trending topics have been updated!

🔹 #美国10月PPI即将出炉
Upstream inflation data is due soon. If PPI continues to come in hotter than expected, could it further disrupt market expectations for rate cuts?

🔹 #美国就业数据今晚公布
Initial jobless claims are due soon. If the labor market continues to cool, could rate-cut expectations rise again?

🔹 #黄仁勋或遭罢免
Rumors about Nvidia’s leadership have drawn attention. If Jensen Huang really leaves, how much would $NVDA ’s valuation and AI strategy be affected?

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BITCOIN HOLDS NEAR $73,754 AS THE MARKET TAKES A BREATHER

Bitcoin is trading around $73,754, down 0.05% over the past 24 hours. BTC has moved between $73,390 and $74,811, showing relatively contained price action as buyers and sellers continue to battle for control.

Despite the slight decline, Bitcoin is holding close to the $73,750 area. Buyers will need to push the price above $74,811 to signal stronger upward momentum.

On the downside, $73,390 is the immediate level to watch. A break below it could invite additional selling pressure.

For now, Bitcoin remains relatively stable, but the m

Why might a trading strategy that performs well in backtests fail in live markets?

A trading strategy may show good historical returns, a high win rate, and a maximum drawdown within an acceptable range. So why might the results be completely different once it is actually deployed in the market?

This does not necessarily mean backtesting is worthless. It is because performance in historical data does not equal returns that can be replicated in live trading.

To determine whether a strategy is truly effective, you need to understand several key issues behind its backtest results.

I. Data bia