$B2 Repeated spikes followed by pullbacks—how should you position for an entry?

With the broader market having an impact, major coins are seeing little volatility and declining trading volume, and altcoins have weakened as well. B2 has repeatedly spiked and pulled back at the 0.48 resistance level. There is indeed heavy selling pressure here, and bears have established a strong defense.

However, B2 found support and rebounded again at 0.43 on declining volume. If it can retest 0.44 and volume picks up again, Sister Xing thinks it could continue pushing through around this level.

A breakout

What Is Model Calibration? Why Doesn’t a 70% Probability of a Price Increase Mean the Price Will Definitely Rise?

In cryptocurrency quantitative trading, a machine learning model may predict a 70% probability that BTC will rise in the next period. But this does not mean the price will definitely rise, nor does it mean the model actually has 70% predictive accuracy. To understand whether probability forecasts are trustworthy, it is important to understand model calibration (Probability Calibration).

First, what is model calibration?

Model calibration focuses on whether predicted probabilitie

You have to get back up where you fell, and the same goes for trading. The real problem is that SpaceX may never return to 120. Can I still wait for a chance to rebuild my position at 120? $SPCX
Risk warning: The above is only my personal opinion and does not constitute investment advice. The crypto market is highly volatile, so please manage your risk.

🐋 WHALE WATCH : These likely bottomed.
=> $TAO $142
=> $QNT $50
=> $HYPE $9.29
=> $SUI $0.6354
=> $SOL $60
=> $XRP $1.04
=> $AERO $0.2725
=> $NEAR $0.84
Could they go lower ? Yes. Crypto doesnt owe anyone a floor.

December hike odds are high because inflation is still above target, the economy is holding up, and two Fed voters already wanted to hike in October. The Fed held at 3.75%–4.00% on October 28, but Lisa Cook and Beth Hammack voted for a quarter-point increase.

Strong narrative.
CA: qjhWVdryERmzBUcPgiFqb6icRndTRkP2PzYUEMmpump

#每周来晒
Thank you for yesterday’s live discussion with Gate.io officials.
#大盘分析
The U.S. CPI report will be released tonight at 10 p.m. The main expectations aren’t too bad—for example, a rise of around 7% in the core index would be positive news. Why? Because the market and U.S. stocks have fallen over the past few days, already pricing in a lot of negative news. Unless this CPI reading, along with inflation, has reached an uncontrollable level, I’m bullish on the cryptocurrency market as a whole.

How Do Fees Change the Break-Even Win Rate? Why Can Frequent Trading Erode Profits?

In cryptocurrency trading, some strategies perform well in backtests, but their profits shrink significantly in live trading. The reason may not be poor market predictions, but trading costs such as fees, bid-ask spreads, and slippage. The more trades you make, the more important these costs become to your overall returns.

First, how do fees affect profits?

Suppose the profit target for each trade is 100 USDT, and the planned loss is 100 USDT. If the total cost of each completed trade is 10 USDT, a winning t

3 USDT on your first trade, up to 8,000 USDT https://www.gate.com/campaigns/event/6889?ch=9562&ref=BVIRBA8M&ref_type=132

What Are ROC Curves and AUC? How Can You Tell Whether a Price Direction Prediction Model Can Truly Distinguish Between Outcomes?

In crypto quantitative trading, you can’t judge whether a model is effective by accuracy alone. Suppose BTC spends most of its time without a major rise. A model that always predicts a decline might still achieve seemingly good accuracy, yet fail to identify genuine opportunities to go long. ROC curves and AUC can help us assess a model’s ability to distinguish between different outcomes.

First, what is an ROC curve?

An ROC curve compares the true positive rate wi

Bitcoin is maintaining a bullish outlook for now. The wide short-term swings are more of a shakeout and consolidation before the next move, so don't let the back-and-forth news disrupt your rhythm. Despite multiple dips, the market has not seen a sustained breakdown, and buyers are firmly defending support below. The repeated volatility is essentially digesting geopolitical news while awaiting the data.

Tonight's CPI is more of a short-term disturbance and is unlikely to reverse the broader trend. As long as key support holds, a pullback that stabilizes presents an opportunity to buy the dip

Everyone, short $INIT now using 10x leverage...📉‼️Entry price: $0.2063 - $0.2070Take profit 1: $0.1901Take profit 2: $0.1840Take profit 3: $0.1738Take profit 4: $0.1600Stop loss: $0.2250Trade management: Lock in partial profits at take profit 1. After reaching take profit 1, move the stop loss to breakeven. Avoid adding to losing positions.

#Gate全球合规版图扩展

XRP clings to its previous low in weak sideways trading; moving-average resistance remains to be broken

Currently at 1.0833 (-1.55%); after consecutive declines from 1.3414 to a low of 1.0764, it has moved sideways. The 4H moving averages are bearishly aligned (EMA7:1.0970/EMA20:1.1288/EMA60:1.1922), with the price below EMA7. A rebound needs to reclaim 1.097 to show signs of stabilization; only a break above 1.1288 would signal strengthening.

Scenario: If 1.0764 holds → a low-volume rebound to 1.097; above that, watch 1.1288. If it fails → a wick down to 1.0650 followed by a

$BTC Today's market is fluctuating back and forth within a narrow 500-point range. Let's just wait for tonight's CPI release.
#美国10月CPI即将公布

What the hell? I held a short all afternoon, and right after I closed it and walked away, you drop the news and send it plunging with a wick. Are you messing with me, bro?

What Is Look-Ahead Bias? Why Does Using Data Only Known in the Future Give Backtests Fake Profitability?

In crypto trading, a strategy may perform almost perfectly in historical backtests, yet frequently lose money in live trading. Besides overfitting, there is another easily overlooked problem: look-ahead bias. It occurs when a backtest uses information that was not yet available at the time to make historical trading decisions, artificially boosting the strategy’s performance.

First, how does look-ahead bias arise?

For example, a strategy decides whether to buy at the end of each day, but

🚨 US CPI INFLATION DATA DROPS TODAY!
⏰ 8:30 AM ET
Previous: 0.6% | Forecast: 0.3%
Market Reaction:
↳ Above 0.3% → Bearish
↳ At 0.3% → Mixed reaction
↳ Below 0.3% → Bullish
Missing 2025 shutdown data means only monthly CPI rates will be released.
All eyes on inflation!

I feel like netizens are going to be driven crazy by Sun Ge. Sun Ge has completely let loose now, going all out. Top-tier @justinsuntron