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

Why can a trading strategy’s returns look stable while hiding significant risks?

A trading strategy earns a little every day, records multiple consecutive wins, and rarely suffers losses.

At first glance, this may seem like a very stable strategy.

But if the market suddenly reverses, the profits accumulated earlier may disappear quickly, or even turn into losses far beyond expectations.

Why does this happen?

Because stable returns do not mean low risk, and a high win rate does not guarantee long-term profitability.

To determine whether a strategy is reliable, you need to focus on the ris

Does a Break Above Resistance Mean the Market Is About to Take Off?

In crypto trading, many people have experienced this:

The price finally breaks above a key resistance level, and trading volume also increases. Traders think a rally is about to begin and chase the price, only for it to suddenly reverse and fall back into its previous range.

This is what traders often call a “false breakout.”

What really needs to be judged is not just whether the price has broken through, but whether the market can continue to accept higher prices afterward.

I. What Is a False Breakout?

A false breakout

AI is finally doing more than selling dreams! Commercialization enters the payoff phase—who can actually make money?

What has AI been best at over the past two years? Not making money, but telling stories! From AI chatbots to AI video, from autonomous driving to smart offices, tech companies have announced one initiative after another, getting investors fired up.
But now, the market is asking a different question: How much money can AI actually make?
AI commercialization is entering a critical stage where promises must turn into results. Companies are no longer satisfied with showing off how

Recently, after browsing through communities and comment sections, I found that “the bull market is dead” has almost become consensus, with pessimistic takes everywhere. Against this backdrop, Jiang Zhuoer’s remarks stood out all the more, like a stone thrown into stagnant water. $BTC $ETH $SOL
Risk warning: The above is only a personal opinion and does not constitute any investment advice. The crypto market is highly volatile, so please do your own research and manage your position size.

Why can adding more technical indicators actually make trading decisions more complicated?

Many traders go through a phase when they first start studying technical analysis:

Moving averages aren’t enough, so they add RSI; RSI isn’t enough, so they add MACD; worried that their trend assessment might be inaccurate, they add Bollinger Bands, volume, and other indicators.

The charts become increasingly crowded, and the analysis looks more and more professional—but do trading results really improve as a result?

Not necessarily.

Adding indicators increases the amount of information, but not nec

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%.

$MU Micron is watching for a pullback, then will keep going long! In a choppy market, the playbook is to dump first, then rally!

GM everyone 💚
Starting the day with Man in Black Guild energy
Ready to jump into the Vibe Vibers Battlegrounds arena bring the chaos and dominate our opponents
That white chicken is no joke 🐔
Lets vibe and win
@vibevibefun

Why Is It Easier to Underestimate the Impact of Costs on Long-Term Returns When You Trade More Frequently?

When reviewing their trades, many traders focus only on entry prices, exit prices, and profits or losses, while overlooking one factor that continuously affects account performance: trading costs.

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

I. A Small Cost Per Trade Does Not Mean a Small Long-Term Impact

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

Pet Hospital.

Ever since Hangzhou launched a large-scale crackdown on prostitution a few months ago and drove out a large number of sex workers, the pet industry has suddenly fallen on hard times, and business at pet hospitals has plummeted.

I thought people could no longer afford to keep pets, but after watching an expert explain it, I realized the business behind it is frighteningly deep😨.

Why can trading more frequently actually make it harder to earn stable returns?

Many traders believe that the more trades they make, the more likely they are to catch opportunities.

They see prices rising and want to enter; see prices pull back and want to buy the dip; after a stop-loss, they rush to look for the next opportunity.

By the end of the day, the number of trades has increased, as have fees, but account returns have not necessarily grown in step.

The problem is that more trading opportunities do not mean more worthwhile opportunities.

I. Trading costs keep accumulating

Each tr

Connecting a DApp Doesn’t Mean You’ve Completed an Operation: What Exactly Is Your Web3 Wallet Authorizing?

In the Web3 world, a wallet is not only used to receive and send digital assets, but is also an important gateway for users to interact with decentralized applications (DApps).

You may have connected to DeFi platforms, NFT marketplaces, or on-chain games. Clicking “Connect Wallet” may seem like a small step, but connecting, signing, and authorizing transactions are actually different operations.

I. Can an App Take Your Assets Just Because You Connected Your Wallet?

In most cases, sim

Why Can Failing to Set a Stop-Loss Cause a Single Mistake to Trigger a Major Account Drawdown?

In cryptocurrency trading, many people know how important stop-losses are, but when they are actually faced with losses, they often make the opposite decision.

When prices fall, they tell themselves to wait a little longer; when the market keeps falling, they think a rebound is just around the corner; by the time their losses grow larger, they have long since abandoned their original trading plan.

The problem is this: making a wrong call on a trade is not frightening in itself. What is truly dange

Stablecoins look like digital dollars, but why aren’t they the same as dollars in a bank?

In the cryptocurrency market, stablecoins are often used for trade settlement, asset parking, and on-chain payments. Many people believe that as long as a token’s price stays close to $1, it can be treated as cash.

But a similar price does not mean the risks are the same.

I. Why can stablecoins maintain price stability?

Different stablecoins rely on different mechanisms to maintain their price. Three common types are:

1. Fiat-reserve-backed

Issuers hold reserve assets such as cash and short-term gov

Why Can Trading More Frequently Actually Make It Harder to Achieve Stable Returns?

Many traders believe that the more trades they make, the more likely they are to seize opportunities.

They see prices rising and want to enter; they see prices pull back and want to buy the dip; after a stop-loss, they rush to look for the next opportunity.

By the end of the day, they have more trades on record and have paid more in fees, but their account returns may not have grown accordingly.

The problem is that more trading opportunities do not mean more worthwhile opportunities.

I. Trading Costs Keep A

Looks like the market opened high and fell today, so I sold first.
If it drops to around 2,500 on ChiNext, I'll keep buying!

$IDOL It's pumping again—is this move about to hit a new high? Market cap above 60 million, and 100 million tokens were just unlocked yesterday