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How to Identify and Avoid Crypto Scams? Don’t Wait Until Your Assets Are at Risk to Learn About Security

In the Web3 world, risks don’t just come from price volatility. They can also lurk in a private message, an airdrop link, or even an apparently ordinary wallet authorization.

Many scams don’t rely on complex technology. Instead, they often exploit people’s hopes for free rewards, trust in authority figures, and poor judgment in urgent situations.

I. Watch Out for Four Common Types of Scams

1. Fake Airdrops and False Rewards

You may receive a message claiming that you can get tokens sim

Why does more frequent trading make it easier to underestimate the impact of costs on long-term returns?

Many traders focus only on the buy price, sell price, and profit or loss when reviewing their trades, while overlooking a factor that continuously affects account performance: trading costs.

The cost of a single trade may seem small, but as the number of trades keeps increasing, these costs can gradually erode an already limited profit margin.

I. Small per-trade costs do not mean a small long-term impact

Suppose a trader pays an average of 0.1% of the trade amount in combined fees and s

Why are stop-losses set too close more likely to get you repeatedly stopped out?

Have you ever encountered this situation?

After buying, the price dips slightly and triggers your stop-loss. Just after you exit, the price starts rising again.

The first time, you think it was just bad luck.

The second time, you start doubting your judgment.

The third time, you may find yourself wondering: Is the market deliberately targeting my stop-loss?

In fact, the problem often isn’t whether the market is targeting a particular trader, but that the stop-loss level conflicts with normal market fluctuati

Why might trading strategies that perform excellently in backtests fail in real markets?

A trading strategy has high historical backtest returns and a good win rate. Does that mean it is worth investing real funds in?

Not necessarily.

Some strategies perform well on historical data, but after entering real markets, their returns decline significantly or they even incur sustained losses.

The problem may not necessarily lie in the trading logic itself, but in the testing method, cost assumptions, and changes in market conditions.

I. Why do backtests easily inspire confidence?

The essence o

$BTC $ETH
$ZEC

Guys, today’s trading log deserves to be called a “short-selling art exhibit”—not some small-time play, but the kind where you pin those market manipulators to the ground and grind them into dust.
First, the most explosive trade: an $ETH short, 100x cross margin, entered near the top around 2385. The price was hammered all the way down to 2048, sending the return soaring to +1413.64%, with 4230 U banked on a single trade. This isn’t trading—it’s running a money-printing machine in the middle of a market waterfall.
Next, the $ZEC short: 50x leverage, with an equally outrage

Bitcoin’s biggest fear isn’t a plunge, but an overly strong PPI! Could November 13 be a key turning point for U.S. stocks?

If there’s one concern shared by the market, it’s when inflation will finally cool for good.
The U.S. October PPI is about to be released, and the data could become an important indicator to watch for the stock and crypto markets in the near term.
PPI reflects changes in the prices producers receive for their sales. If upstream prices continue to rise, they may gradually feed through to consumers. That would also make the Fed’s policy choices more complicated.
If the data

Why Are Institutions Starting to Reassess Bitcoin?

Recently, a contradiction in the Bitcoin market has emerged that warrants closer examination: ETF outflows continue, while large financial institutions have disclosed increased Bitcoin-related holdings. What does this mean?

First, let’s look at the flow data. As of November 10, 2026, U.S. spot Bitcoin ETFs had recorded cumulative net outflows of about $1.58B this month, with net outflows on 6 of the 7 settled trading days. But this does not mean all institutions are retreating.

According to third-quarter 13F filings disclosed on November 11

Great $ONE is still maintaining a steady downward trend, with profits both secure and growing. There are still no signs of a pump back up, and the Short is still being held😍😍😍$KGEN $MAGMA 😍😍😍

Will Oracle’s AI Cloud Business Take a Major Hit? Microsoft Ends Computing-Power Leases, and the Market Starts Revaluing It!

After Microsoft began gradually ending its AI computing-power lease agreements with Oracle, the market naturally started paying attention to Oracle’s AI cloud business.
After all, with demand for AI computing power booming in recent years, Oracle has also actively expanded its data centers, hoping to gain more market share in the cloud computing race.
But Microsoft’s move to adjust the partnership shows that major customers are raising their expectations of computing-po

$ETH $ETH ‌ Let's take a look at ETH
ETH is more volatile than BTC, and its moves up and down are usually sharper than BTC's.

First, let's look at the daily chart
The daily chart is currently in a consolidation and recovery phase after a decline, with no clear reversal signal. The moving averages are imposing very strong pressure, creating significant resistance.
Daily resistance above: 2140–2180
Daily support below: 2005–2030, the recent low area. A decisive break below this range would open up room for a new leg down.
Now let's look at the 4-hour chart
The 4-hour chart is currently rangin

The probability that Jensen Huang will continue as NVIDIA CEO has fallen to 9%, with prediction markets now favoring Ian Buck, known as the “father of CUDA,” as his successor.

On Polymarket’s “Next NVIDIA CEO” market, Ian Buck has a 32% probability and is described as one of the creators of the company’s core moat. Colette Kress is at around 17%, Rene Haas at 10%, and the option for Jensen Huang to remain CEO has dropped to 9%.

Scrolling my phone during lunch, I got a laugh out of a piece of AI industry gossip 🍱
The Intercept reported that three OpenAI executives focused on national security were tricked by Russian prankster duo Vovan and Lexus into joining a video conference
The other party posed as Ukrainian intelligence chief Umerov, kept their camera off the whole time, and OpenAI’s team still had a serious 17-minute conversation 😶
They discussed quite a bit: a $200 million U.S. defense contract, cyber defense tools for Ukraine, and Musk; when asked about him, they replied, “I'm afraid we can't help with the Mu

Nomura, whose investment arm manages ¥152.8 trillion, helped launch a Saudi SME credit vault on BNB Chain through Laser Digital.
The zEMS vault targets $100 million. Saudi SMEs face a financing gap of more than $80 billion.
@BNBCHAIN

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 quietly change the way someone makes decisions.

Some start increasing their position sizes, some loosen their stop-losses, and some think they have figured out how the market works. The risk has not disappeared; recent success has simply made it harder to see.

I. Why Can Profits Change Risk Perception?

1. Mistaking short-term success for long-term skill

Several consecutive profitable trades

Holy shit! Holy shit! Holy shit!
What is this?
Urgent! Urgent! Urgent!

Microsoft suddenly changes its tune! Ending its AI computing lease with Oracle—reshuffling begins in the AI compute wars?

Another major development in the AI industry! Microsoft is gradually terminating its agreements to lease AI computing capacity from Oracle and reassessing several data center partnership projects.

Why the sudden change? One important reason is that the NVIDIA GPUs in Oracle's servers are from an earlier generation and are gradually failing to meet Microsoft's evolving technical needs.

Put simply, having computing capacity used to be enough. Now Microsoft is becoming more