Jensen Huang’s affair, Nvidia’s board immediately launches an independent investigation, national security risks compounded by a top-level scandal
Foxconn Industrial Internet, which is deeply tied to Nvidia, still turned sharply higher today
Given the A-share market’s usual behavior, this shouldn’t be happening. Could it be because it had fallen too far earlier

At dawn, the BTC short was closed for a profit$BTC
Set take-profit at 74780 and stop-loss at 767, then slept soundly
Woke up to 14k in gains secured#BTC闪崩插针
Honestly, this weekend’s market was really hard to trade
After ranging for two days, it surged to 735 early this morning😂
But the long position is already in, with over 1k points in profit now🤭

10,000U principal, currently 1.25 million U

Targets fully hit! Bitcoin captured 2,800 points!

Brothers who were still buying the dip in the sideways market over the weekend—did this move wake you up?

Looking back at yesterday’s publicly shared trade idea: short near 76,300. The price rebounded to a high of 76168, then sold off through the early morning, hitting a low of 73333. The full 2,800-point move was captured!

I made it clear at the time: Bitcoin’s drop from 81188 to 74810 slowing down didn’t mean a reversal. The sideways action was just a correction; don’t mistake catching your breath for getting ready to take off.

The direct

Backtests make money, live trading loses money: How can you tell whether it’s an execution problem or the strategy has stopped working?

A strategy performs well on historical data. Why are the results completely different once real capital is deployed?

Many traders, after suffering losses, immediately adjust parameters, add indicators, or even scrap the entire strategy.

But the problem may lie at different stages. Making changes blindly without identifying the cause may only make the strategy more complex.

I. Step 1: Compare key metrics between backtesting and live trading

Start by compar

$NVDA Jensen Huang publicly admits to cheating—will Nvidia fall again amid such a huge scandal?🤔

11/7 ETH short trade verification
Entry zone: 2255–2275; actual high: 2250.6. A precise entry.
Two target levels: 2205 / 2170. Both hit.
Actual low: 2050.32, a 200-point move, exceeding expectations.
This isn’t hindsight—it’s a call I publicly posted a day and a half in advance. I don’t brag about my ability; the market will speak for me. $ETH ‌#美国10月CPI即将公布

Why Is the Liquidation Price Different from the Market Price You See?

You open your trading app and see that BTC’s latest traded price has not yet fallen to your liquidation price.

But your account’s risk warning has already changed, or your position has even been forcibly liquidated.

Why does this happen?

One important reason is that in contract trading, the market price you see, the price the platform uses to assess liquidation risk, and the price used as a reference for the broader market may not be the same.

Understanding the differences between the latest traded price, mark price, an

While the market makes us want to cry like babies in a fetal position.
We out here shining ✨🇦🇺

The real-life Fast & Furious?

Solana Outlook for This Morning

Long
Entry range: 87.10 - 87.30 (wait for a clear sign of support near the Bollinger middle band on a pullback before entering)
Stop-loss: below 86.50 (a break below the lower band invalidates the long)
Targets: 88.50 (upper band) → 89.20; if it breaks out strongly, watch 90.00

Short
Entry range: 88.50 - 88.80 (near the upper band and previous-high resistance; try only after a long upper wick or bearish engulfing pattern appears)
Stop-loss: above 89.20 (a breakout on heavy volume invalidates the short)
Targets: 87.50 (middle band) → 86.50

Solana has rebounded

Nasdaq plunges 5.5%, and BTC can’t sit still either! AI bubble bursts—how long will crypto have to follow suit?

U.S. stocks took a real hit this time! The Nasdaq plunged 5.5% in a single day, wiping out around $2.5 trillion in market value, as AI tech stocks faced a broad sell-off. The once red-hot artificial intelligence sector suddenly went from darling to hot potato. More interestingly, when AI stocks sneeze, the crypto market catches a cold—and BTC naturally couldn’t escape unscathed.
Why does a decline in the AI sector affect Bitcoin? Because BTC is no longer the asset it once was, playi

Why can the same trading strategy perform completely differently on different exchanges?

Suppose you test a BTC breakout strategy on one exchange, and the backtest results look good.

So you copy it to another exchange, using the same parameters and entry signals, only to find that profits are lower, drawdowns are larger, and the strategy that was originally profitable even starts losing money.

What went wrong?

Often, traders focus only on price signals and overlook one fact:

Generating signals in the same way does not mean orders will be filled under the same conditions.

1. Different liq

Why Does Higher Trading Frequency Make Profits Easier to Erode?

Some traders believe that constantly looking for opportunities can increase their chances of making a profit.

But in reality, every trade can incur new costs. The more trades you make, the more easily these costs accumulate.

Even a strategy that is fairly good at predicting market direction may ultimately fail to deliver the desired net returns if it trades too frequently.

I. Fees: Small Each Time, But They Can Add Up

Suppose the combined cost of buying and selling each time is 0.10% of the trade's notional value.

If the not

Try buying $UNI . Entry range: 6.833 - 6.878 Target levels: 7.181, 7.441 Stop-loss: 6.628 UNI is setting up for a V-shaped rebound; bulls are reclaiming the moving averages, and it's time to catch this rebound. Caution: the 1-hour trend is still bearish; if 6.88 cannot hold, the long strategy is invalidated. Don't go all in, friends. Size your position according to your account.

Jensen Huang resigns? $NVDA ’s shocking plunge exposed, the big players’ cards laid bare!

Markets are always born in despair and rise amid hesitation!

Personal opinion and case: A sudden Lao Huang scandal combined with a massive capital outflow has retail investors all cutting their losses! But look at the data: 305 whales are heavily short and in profit, while all the longs are trapped. The 1-hour chart saw a wick down to 176.9 and a rebound; RSI is oversold. There is a massive amount of short-position liquidity above at 185–187. This is clearly the big players using fake negative news to d