When 3D Meets 4D Visualization

On Monday, I said AMD would fall back to 480 this week.
It’s at 529 now.
I was wrong about that.
It closed at 449 last Friday.
It’s rallied nearly 18% since then.
Nvidia lost $470 billion in market cap over two days,
hit by a CEO controversy and a hot CPI print.
CoreWeave’s earnings report didn’t come out until after the close yesterday.
It raised its full-year revenue guidance from $12.9 billion to $13.3 billion.
AMD and Broadcom are the ones getting the money.
The 10-year yield is hovering near 5%, and yesterday’s CPI was hot.
The market is now pricing in a rate hike next month.
If SMH can’t

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U.S. stocks opened higher, and gold fell in response! If you're long, don't stubbornly hold on! Cut losses when needed, and reverse course when needed! The first target of the intraday bearish strategy, 4020, has been breached! Gold reached a low of 4010, delivering a total move of 56 points! 4000 is just one quick push away! Keep looking lower, below 4000!
$BTC $XAU #Gate全球合规版图扩展 #OpenAI第三季度营收升至100亿美元 #Polymarket年化收入突破18亿美元 #美伊谈判出现新进展

Would you still dare touch MU at $775?
From $1,255 down to $700, everyone said, “The AI memory bubble has burst.” Just today, a big green candle surged from $700 to $775, up 7%, with trading volume soaring to $1 billion, while Goldman Sachs still has a $1,250 price target. Is this just a dead-cat bounce, or the second wave of a supercycle?

First, the surface: down 40%, but today it staged a violent rebound.

It fell more than 20% in the past 30 days, tumbling from a high of $1,255 to around $700, trapping who knows how many people. But just now, it rallied from $700.93 to $778 in 24 hours, wi

Three Robinhood assets which will outperform soon ⏰
robinhood:0xb0007d59fe4050a1636c2fa19038973d16481337 - AI game engine that turns any prompt into a playable, shareable game with its own token launchpad
$CHOP - volatility farming protocol, active flywheel, several big partners, roadmap dropping today
robinhood:0xacc8de336f5d2366fa7334383d8fab73499f582a - onchain fund framework where AI agents propose capital, holders vote on the mandates, and execution agents deploy treasury under the rules
Study and win

Why can backtesting perform very well while live trading may be completely different?

A trading strategy performing well on historical data does not mean it will achieve the same results in future markets.

Backtesting can help us evaluate trading rules, but it relies on historical data, model assumptions, and execution conditions. When these conditions differ from the real market, backtest returns may not be reproducible.

What factors deserve attention?

1️⃣ Data quality determines the credibility of a backtest

Historical data may contain missing values, abnormal prices, or timestamp align

US stocks open higher, Nasdaq up more than 1.5%

On November 11, US stocks opened higher, with the Dow up 0.2%, the S&P 500 up 0.9%, and the Nasdaq up 1.56%. CoreWeave (CRWV.O) surged 14.5% after reporting earnings that beat expectations. Nvidia (NVDA.O) rebounded 2.6% today after closing lower for two consecutive days. Chip stocks broadly rose, with SK hynix (SKHY.O) up 7.6%, Broadcom (AVGO.O) up 5.8%, and TSMC (TSM.N) up 4.3%.#美国10月CPI全面超预期 $BTC ‌

Russia is opening the door to crypto trading.🇷🇺
Starting November 17, Russian exchanges can offer access to Bitcoin and other crypto assets under new central bank rules.
Meanwhile, the US is still struggling to move the CLARITY Act forward.
The global crypto race is heating up.

According to Bitcoin.com News, Deutsche Bank has expanded the scope of its license to provide digital asset custody services to the European Economic Area through the legal passporting mechanism. The service supports Bitcoin, Ethereum, and three stablecoins—USDC, EURC, and EURAU—and is available only to institutional clients, including corporations, hedge funds, asset managers, brokers, custodians, and sovereign entities. Clients can access the service through Deutsche Bank’s Autobahn and Corporate Bank portals, with online or offline storage options.

Why Does It Become Increasingly Difficult to Break Even After Consecutive Losses?

In the trading market, many people go through this process:

Their account loses 10%, and they think it’s no big deal—they just need to earn it back.

They lose 20%, start to panic, and want to increase their position size to break even faster.

They lose 30%, start trading frequently, and try to catch every rebound.

By the time their account has shrunk further, they realize they’re trapped in a cycle that’s becoming increasingly difficult to escape.

But the truly brutal part is this: losses and breaking even

Why can repeatedly adjusting parameters actually make a trading strategy more fragile?

When optimizing a strategy, many traders go through this process:

The first backtest delivers average returns.

After adjusting the parameters, returns improve.

Further adjustments produce a higher win rate, smaller drawdowns, and an increasingly attractive equity curve.

So you feel that you have finally found a better strategy.

But when the strategy enters a new market environment, its performance quickly deteriorates.

The problem may not be that the parameters are not fine-tuned enough, but rather: w

Why do some trading strategies perform well in range-bound markets, but start losing consecutively as soon as the trend reverses?

Have you ever experienced this?

A strategy performed well over the past few months. Its backtest curve was smooth, and its win rate looked impressive.

But one day, the market starts to change.

Buy signals that used to work begin failing one after another, stop-losses become more frequent, and the account’s drawdown keeps growing.

You start questioning the indicators, adjusting parameters, and even considering replacing the strategy entirely.

But there is one p

Vitalik Buterin says Ethereum should focus on ETH as a store of value, not as a fee-burning token.
DFINITY founder Dominic Williams:
"I guess that leaves only the Internet Computer in the 'world computer' game then."
@dfinity @dominic_w

How can you build a risk alert system for a trading strategy to detect anomalies before losses mount?

Many traders spend a lot of time studying entry signals, but rarely plan another thing in advance:

If a strategy starts to fail, how can I detect it in time?

By the time consecutive losses or a large account drawdown prompt you to review the strategy, you may already have paid an unnecessary price.

A truly mature trading system needs more than entry and exit rules. It should also have a mechanism to detect anomalies, limit risk, and trigger a review.

I. First decide what to monitor instea

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Why do actual losses exceed expectations even when a stop-loss is set?

Many traders believe that once they set a stop-loss, they have controlled their risk.

But after entering the market, they may find that the stop-loss was triggered, yet the account loss was greater than expected.

This is especially worth watching in volatile cryptocurrency markets, when liquidity declines or contracts undergo rapid liquidations.

The problem is:

A stop-loss is a risk management tool, but it does not mean you will necessarily get filled at the preset price.

I. Different types of stop-loss orders are exe

In 90 days, Coinbase, where US buyers trade, never priced $BTC more than +0.032% above the rest of the world. On Nov 10 it was -0.133% under the global price, the 67th straight day on the discount side.