Low-Cost Christmas
and
High-Cost Christmas

Heads up⚠️⚠️⚠️⚠️
Heads up⚠️⚠️⚠️⚠️
A 1:1 follower-to-following ratio will be automatically detected by the system as mutual following!!!
Guys, protect

$DOGE The plunge continues.

Today, let’s talk about the higher timeframes

U.S. stocks rebounded last night, but crypto didn’t follow. Capital’s preferred choices show that crypto is still playing second fiddle.

See image 1: $ETH . ETH’s daily chart has broken below the bull-bear dividing line, also known as the bull/bear boundary at 2130-2190. A further breakdown on the daily chart would mean the structure has deteriorated, while recovery would take more time. A daily close back above 2190 would be a great buying opportunity.

See image 2: $BTC . BTC’s golden buying opportunity is at 72700. A break below that level would

There’s no question that being bullish on gold makes sense; I’ve been emphasizing buying on pullbacks over the past couple of days.
World Gold data shows that global central banks made net gold purchases of 321 tons in the third quarter, up 42% year over year and setting a new record. The key drivers are reserve diversification and risk management.
So central banks are providing a floor for gold, but I still recommend waiting for tonight’s CPI data. If gold plunges because the CPI data is very bad, that’s your chance to buy at a steep discount.
If U.S. stocks plunge in the future and gold plun

What kind of freak is this?!
Every time he gets banned, he manages to get out of it!
That’s five times, guys!
He could make money just by selling a course on this one skill😂

What Are ROC Curves and AUC? How Can You Tell Whether a Price-Movement Prediction Model Can Truly Discriminate?

In cryptocurrency quantitative trading, you cannot judge whether a model is effective by accuracy alone. Suppose BTC spends most of the time without a sharp rise: a model that always predicts a price drop could still achieve seemingly decent accuracy, yet fail to identify genuine opportunities to buy. ROC curves and AUC can help us evaluate a model’s ability to distinguish between different outcomes.

First, what is an ROC curve?

An ROC curve compares the true positive rate with th

When the sale pressure gets weak💹😏
You know what happens NEXT⚡️👀
#VOLT robinhood:0x5d102d1e69e77591d486aa4f663b3645151bbdf6 0x5d102d1E69E77591D486aa4f663B3645151BBdf6

$BTC is in the bottoming process now
IMO, there's one more dip left around $72K-$73K before we teleport above $90K

Flare co-founder Hugo Philion to XRP holders:
"What are you doing to put your XRP to work?"
FXRP supply on Flare is now 144,638,293, held by 14,749 addresses, with each token representing one XRP.
@FlareNetworks @HugoPhilion

Another parallel universe
Jensen Huang and Huang Le open a small restaurant
Living carefree lives every day

11.9 ZEC Long/Short Strategy (Review)
[Trade Details]: $ZEC
4 winning trades in total, no losing trades
Long entered at 1190, exited at 1230, with 40 points of upside
Short entered at 1230, exited at 1190, with 40 points of downside

[Strategy Review]:
The strategy focused mainly on Range 4; neither the long nor short trades played out, and a downtrend has formed

[Current Market]:
A downtrend channel has formed on the higher timeframe, with a target of 1120. The current price is consolidating around 1140, back at Range 5. A downside breakout is more likely. Market depth shows ample short mom

What Is Feature Engineering? How Can More Valuable Trading Signals Be Extracted from Price, Volume, and Volatility?

In crypto quantitative trading, the performance of machine learning models depends not only on the algorithm, but also on the quality of their input data. Raw price and volume records capture market movements, but may not directly express trends, momentum, and risk. Feature engineering is the process of transforming raw data into information that is more suitable for models to learn from.

First, how can price features be constructed?

You can calculate returns over different pe

Those in the airdrop group who got in early enjoyed a nice bite $XAU ‌

📢 Gate Live Tonight’s Livestream Preview | November 10

Tonight’s focus: U.S. October CPI! Will inflation data reshape rate-cut expectations?
After BTC fell to $73k, which price levels are worth watching?

Multiple hosts take turns discussing everything from the Nvidia turmoil and BTC’s price action to how to catch market cycles in spot trading.
Join Gate Live every night to discuss the market and watch key levels!

🔥 Watch now https://www.gate.com/live

【Macro Watch: Fed Policy Expectations Repriced】
On Tuesday, Fed Governor Waller sent a more hawkish policy signal, saying he supports resuming rate hikes in December and that the Fed could consider a one-time 50-basis-point hike if inflation remains persistently high, breaking with the market’s previously more dovish expectations.

Waller’s reasoning:
✅ Inflation determines the pace: Core CPI is the key reference point. If inflation falls less than expected, larger rate hikes will be considered;
✅ Maintaining policy credibility: Easing too soon before inflation is on target would undermine the

What Is the ATR Indicator? How Can Average True Range Measure Market Volatility and Help Set Stop-Loss Distances?

In crypto trading, a 2% stop-loss can mean very different things in calm and highly volatile markets. ATR (Average True Range) can help traders measure market volatility and inform stop-loss distances and position sizing, but it cannot predict whether prices will rise or fall.

First, what is ATR?

ATR calculates the true range over a given period and smooths the results to measure average market volatility. True range considers not only the difference between the high and low, bu

What was the most ridiculous thing you did as a kid?