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$ETH When will this ever end? I've lost everything!
ETH-1.23%
Why Is It Harder to Break Even After a Larger Loss? Understanding the True Cost of Account Drawdowns

In cryptocurrency trading, many people focus on how much a trade can earn, but rarely take the time to calculate how much the account needs to gain after a loss to return to its previous level.

This is actually one of the most easily overlooked risks in trading.

Suppose your account originally had 1,000 USDT. After a 10% loss, you have 900 USDT left. To return to 1,000 USDT, it needs to rise by 11.1%, not 10%.

If the loss reaches 20%, you have only 800 USDT left, which needs to rise by 25%
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$PEOPLE is now heavily shorting, planning to sell at $0.000296 later. Short entry price: $0.005637 $PEOPLE 🔥
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🏦 $QNT wants banks to sell payments as their own product

Quant is making a major push to get banks offering payments under their own brand.

As proof, it points to its selection for The Clearing House tokenized deposit network.

Banks running their own payment products on Quant tech could be a huge shift.

Is $QNT the quiet giant of bank tokenization? 👇
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QNT+4.79%
Tokenizing stocks is the easy part.
Making them liquid, tradable, and useful across DeFi? That's where things get interesting.
Spoke with 3 teams building the next layer of tokenized equity infrastructure.
Here’s what I learned ↓
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1. Treasures Finance
Tokenized stocks are growing fast. But liquidity remains one of their biggest challenges.
New tokenized stocks are launching almost every week, increasing fragmentation across issuers, chains, and trading venues.
And with every new token, the need for liquidity and market makers continues to grow.
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Why do large orders sometimes need to be executed in batches? Is splitting an order always more cost-effective?

In the crypto market, placing a large order all at once may not be the best option. The order may consume liquidity across multiple price levels, causing the average execution price to deviate from expectations. As a result, some traders may consider splitting a large order into several smaller ones.

But splitting orders is not a sure-fire way to save money. It addresses execution challenges; it does not guarantee trading profits.

First, why might a large order affect the executio
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#JensenHuangResigns #ShareWeekly
NVIDIA’s leadership transition has become one of the biggest technology stories of November 2026. The company confirmed that Jensen Huang resigned as President, CEO and board member with immediate effect on November 12. CFO Colette Kress has taken over as interim CEO, while the board searches for a permanent successor.

The market is now weighing two different questions: can NVIDIA keep delivering world-leading AI computing, and can its next leadership team maintain the confidence of customers employees and investors?

1. NVIDIA STOCK PRICE AND MARKET CAPITALI
NVDA-4.49%
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Can tourists in Thailand now scan to pay with USDT? Don’t get too excited just yet—let’s break this down 🇹🇭
Thai media reported on November 12 that an app called WORPT is connecting crypto assets with Thailand’s PromptPay: after completing identity verification, foreign tourists can convert stablecoins such as $USDT and $USDC into baht, top up an e-wallet, and then scan merchants’ Thai QR codes to pay.
My first thought was: So in the future, can I just pull out my phone and scan with stablecoins to grab a bowl of boat noodles from a Bangkok street stall? 😂
But a few key points need clarif
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What Is Slippage? Why Can the Price You See Before Placing an Order Change by the Time It Is Executed?

In crypto trading, you may have encountered this situation: the price you see before placing an order looks ideal, but after the order is filled, the actual execution price is higher than expected, or the selling price is lower than expected.

This difference between the expected price and the actual execution price is generally called slippage.

First, how does slippage occur?

The most common causes include rapid market fluctuations, insufficient order book depth, and an order size that is
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What Is the Difference Between Mark Price, Last Traded Price, and Index Price? Why Do They Affect Contract Trading?

In crypto contract trading, some people see that the last traded price has not yet reached their expected level, but their account is already showing a large unrealized loss or even nearing liquidation. Others find that the price on the candlestick chart does not exactly match the price the platform uses to calculate risk.

One important reason is that the last traded price, index price, and mark price are not the same thing.

First, the last traded price: the price of the marke
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CRYPTO MARKET UPDATE SOXL
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To everyone who got liquidated! Don’t lose heart, don’t get discouraged, and don’t blame yourselves…$ETH
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ETH-1.23%
$UAI Sell-off signals are fading, grab a bowl of pho, guys🤩LONG NOW🔥Tp1: 0.042Tp2: 0.046Tp3: 0.055Sl: 0.0347$AKE $DODOX
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In crypto futures trading, leverage has always been one of the most exciting tools—and one of the easiest ways to pay a price.

Many people think that with 10x leverage, if BTC rises 1%, they can earn a 10% return. But they often overlook another fact: if the price moves 1% in the opposite direction, their losses are amplified just as much.

So how should leverage be understood?

First, leverage amplifies position size, not trading ability. Even if you correctly predict the market direction, an unreasonable entry point could still lead to heavy losses due to short-term volatility.

Second, the
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Q4 does not disappoint. Yeah baby!
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#eth If ETH’s daily candle gets back to 2000 today and holds, the downtrend is over and a choppy shakeout begins. If it stays below 1980, there’s still another leg down.😭😭😭
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ETH-1.26%
Even with a heavy position in AMD, it's still uncertain🙃
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AMD+5.86%
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Consecutive losses are when many derivatives traders are most likely to lose confidence.

Some people start doubting their trading system after two or three losses. Others, after a losing streak, rush to change indicators or entry conditions, or even keep increasing their position size, hoping to quickly earn back their losses.

But the question is: Do consecutive losses really mean a strategy has failed?

Not necessarily. To determine whether a trading strategy has failed, you need to consider at least five factors.

First, review your trade sample. Three to five losses do not prove that a st
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Many people have experienced this: when a bull market arrives, BTC rises 10%, while some altcoins can gain 30% or even more. But when the market starts falling and BTC pulls back 10%, some altcoins may drop 30% or even more.

Why does this happen?

First, the difference in market capitalization is a key reason. Compared with BTC, many altcoins have smaller market caps and relatively limited market depth, so even modest inflows or outflows can cause more pronounced price swings.

Second, altcoins are more sensitive to market sentiment. When prices are rising, investors are willing to take on mo
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