China Fund News: Nvidia continues to plunge!
Great, now’s the time to buy the dip $NVDA ,
U.S. memory and tech stocks have all rallied, but Nvidia is still falling.
They’re all back to September 2025 levels, down 30% from the October peak.
If not now, when? 🥹

In cryptocurrency trading, many people spend a lot of time studying whether BTC will rise or fall, but overlook a more important question: even if your prediction is correct, without a reasonable stop-loss and take-profit plan, you may still end up making no money.

Why are stop-losses and take-profits so important?

First, stop-losses are for controlling risk. When the market moves against your judgment, exiting in time can prevent small losses from continuing to grow. This is especially important in futures trading, where leverage amplifies the impact of price movements on your account, so s

$ZEC dropped below $1,000 as expected
Now, it's time for a bounce

Can 20 consecutive winning trades prove that a trading strategy works?

Not necessarily.

Without knowing the number of trades, the distribution of losses, the risks taken, and whether the strategy was repeatedly fine-tuned, those 20 wins may not tell us much.

What really needs to be verified is not how much money the strategy has made in the past, but whether it has an edge that can be repeated, explained, and tested.

1. Look at the sample size, not just the win rate

Suppose two strategies both have a 70% win rate.

Strategy A has completed only 20 trades, while Strategy B has completed 1,

After a Series of BTC Losses, How Can You Quickly Regain Your Trading Composure?

In BTC contract trading, a series of losses is a phase many traders experience. The real danger is not the losses themselves, but the chain reaction that follows: rushing to break even, opening positions too frequently, continually increasing leverage, or even abandoning the original trading plan. As a result, an ordinary loss can turn into a much greater risk to your account.

So, how should you adjust after a series of losses?

First, stop impulsive trading. If you lose several trades in a row, don’t rush to lo

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

BTC Trading Risk Management Guide: How to Protect Your Principal?

In the cryptocurrency market, many people spend every day figuring out how to make money, but few seriously consider how to protect their principal. In fact, one of the most important skills in trading is not seizing every opportunity to profit from a rally, but retaining enough capital to keep trading when unexpected market volatility occurs.

So, how should you build a risk management system?

First, control your position size. Don’t invest all your funds at once just because you’re bullish on BTC. You can limit the risk of a

Every rise has its cause; every gain and loss has its basis.

Price retests key support, Bollinger Bands contract and selling pressure wanes, MA60 provides a floor, and a top-to-bottom reversal structure takes shape. Look for a low-risk window to try going long, set a stop-loss, and wait patiently for the setup to play out.

Markets are unpredictable; discipline comes first. $BTC

Profitable in backtests, losing in live trading: How can you tell whether it’s an execution problem or the strategy has stopped working?

Why does a strategy perform well on historical data, yet produce completely different results once real capital is put to work?

After taking losses, many traders’ first instinct is to change parameters, add indicators, or even scrap the entire strategy.

But the problem may lie at different points in the process. Making changes blindly without identifying the cause may only make the strategy more complicated.

I. First: Compare key backtest and live-trading

In BTC trading, many people see a long upper wick on a candlestick and assume the market is about to fall. But does a long upper wick really mean the trend is reversing?

Not necessarily.

A long upper wick usually indicates that the price encountered selling pressure as it rose. Buyers tried to push the price higher, but faced selling at higher levels, and the price eventually pulled back from its high.

When assessing a long upper wick, focus on three things.

First, where it appears. If a long upper wick forms near a key resistance level from earlier, that area may have strong selling press

Gm
Another day, another opportunity to show up and give it my best.

📊 Jingyan SMC Gold Intraday Analysis | November 11 (Evening)

What key information should you check before using a DApp?

In the Web3 world, using a decentralized application (DApp) may only require connecting your wallet, signing a message, or confirming a transaction.

The steps may seem simple, but there is much more to consider:

Who developed this application? Are its smart contracts trustworthy? Are the permissions it requests reasonable? If something goes wrong, do you understand what risks you are taking?

Don’t assume a DApp is safe just because it works normally; and don’t assume all risks have disappeared just because it has an audit report.

Why do many trading strategies perform consistently in backtests, then suddenly fail when market conditions change?

A trading strategy may have been profitable for several consecutive months.

It may perform well in a trending market, with a beautiful backtest curve. But when the market enters a ranging phase, or liquidity suddenly declines, signals that were previously effective may start failing frequently.

At this point, many people's first reaction is: Were the parameters not tuned properly?

But the problem may not be with the parameters at all. It may be that the market conditions the

Why can a trading strategy perform excellently in historical backtests yet gradually fail in real markets?

A beautiful return curve does not necessarily mean a reliable trading strategy.

In the cryptocurrency market, many traders use historical data to test entry signals, take-profit and stop-loss levels, and position-sizing parameters. But once a strategy is deployed in the market, its win rate may fall, drawdowns may grow, or it may even lose money over the long term.

So where does the problem lie?

I. Historical data is not the same as future markets

Backtesting can only show how a stra

Breaking even like this every day—come on, take off!

Why are more and more people paying attention to the cross-border payment capabilities of cryptocurrencies?

Imagine this: You need to transfer money to a partner in another country, or send money to family while living overseas.

Traditional cross-border payments may involve multiple financial institutions, different business hours, currency conversions, and intermediary fees. Blockchain offers another way to transfer funds: sending digital assets through a network, with transactions processed and confirmed by the corresponding blockchain system.

But does that mean cryptocurrency is necessar

Why Can an Airdrop That Looks Legitimate Still Be a Scam? Build an Airdrop Safety Checklist, from Phishing Links to Malicious Approvals

In the Web3 world, airdrops have always been one way for users to engage with new projects.

Some projects distribute tokens through airdrops, reward early users, or expand community participation. At the same time, scammers exploit users’ desire to receive free tokens by designing campaigns that look completely legitimate.

They may have polished campaign pages, fake official accounts, seemingly authentic task lists, and may even steal the names and logos of