Does Cooling Inflation Favor Gold or U.S. Stocks? The Next Rotation of Capital Could Be More Exciting Than Rate Cuts!

If U.S. inflation continues to fall, an interesting question will emerge in the market: will capital flow into gold, or embrace U.S. stocks again?
First, U.S. stocks. If inflation continues to improve, expectations for Fed rate cuts will rise, and financing costs are likely to gradually decline, potentially supporting valuations for tech and growth stocks. AI, semiconductors, and cloud computing in particular could once again become key areas of investor focus.
Next, gold. Gol

What Is a Classification Threshold? Why Can Changing a Probability Cutoff Alter an Entire Trading Strategy’s Returns and Risk?

In crypto quantitative trading, a machine learning model might predict a 65% probability that BTC will rise in the next period. But should a trader buy immediately? The answer depends on the classification threshold set by the strategy. A classification threshold is the cutoff that converts the probability output by a model into an actual trading signal. It affects the number of signals, the rate of false predictions, and the final trading results.

First, what is a c

This is ridiculous! It launched and immediately tanked hard, dropping two zeros—now it’s down three zeros. I feel like it’s going to lose another zero. What was even the point of launching it? Sigh, who would still dare to buy in? Everyone’s just holding the bag now. My heart is ice-cold.

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

What Is Volume Analysis? Why Is It Worth Paying Attention to Volume Changes When Prices Rise?

In crypto trading, price tells us which direction the market is moving, while volume can help us gauge market participation. When BTC rises, if volume increases alongside it, that may mean more traders are participating in the rally; if the price continues to rise while volume gradually declines, it’s worth watching whether the upward momentum is weakening.

First, what is volume analysis?

Volume analysis is a method of assessing market activity and price action by observing the number or value of t

What Is Class Imbalance? Why Can Cryptocurrency Prediction Models Look Accurate Yet Have No Trading Value?

In cryptocurrency quantitative trading, a model’s accuracy can easily be misleading. If most periods in the test data do not feature a strong rise as defined, a model that always predicts “no rise” may still achieve high accuracy, yet fail to identify real trading opportunities. This is the problem caused by class imbalance.

First, what is class imbalance?

Class imbalance occurs when the number of samples in different classes varies greatly in a dataset. For example, only 100 out of 1,

Damn, 15199 yuan for a bottle of liquor.
I’ll never forget those days when I was liquidated trading, drifting from place to place, and couldn’t even afford a meal.
Now, having gradually achieved results through trading, I stay true to my original aspirations and see things through to the end.
I’m grateful for what the market has given back, and thankful for the recognition from all my friends. Grateful to my friend for gifting me Moutai!

Good Morning fam, today gonna be a good day I can feel it 🔮

What Is Breakout Trading? How Can You Tell Whether to Enter or Wait for a Retest After the Price Breaks Through a Key Zone?

In cryptocurrency trading, when BTC breaks through a key resistance level, some traders chase the rally immediately, while others choose to wait for a retest. Both approaches have pros and cons. What really matters is not getting in before everyone else, but judging whether the breakout is sustainable and planning for risk in advance.

First, what is breakout trading?

Breakout trading means looking for trading opportunities according to predetermined rules after the pri

Solana's early-session directional thesis played out: after rebounding, it came under pressure and pulled back, with prices gradually moving lower, confirming the view that the rebound was weak. $SOL

The rebound lacked buying support, and the upside momentum was insufficient to last. After selling pressure emerged, prices retreated, in line with the early-session forecast. Market volatility was high, and support levels still require close monitoring. Trading risk controls must remain in place.
#Gate24小时净流入全球第三

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 is actually 70% accurate. To understand whether probability predictions are reliable, it is important to understand model calibration (Probability Calibration).

First, what is model calibration?

Model calibration concerns whether predicted probabilities match actual

$BTC This is actually insane.

Whales are accumulating at record levels while retail traders continue to short the lows.

The divergence in positioning is now even larger than it was during the bottoming range.

Looks like retail is falling for a massive bear trap while larger players are quietly buying up every dip they get.

#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

For a 66th straight day, US traders bid $BTC below the global price as it held flat on the day. Trading ran less one sided than on most days of the past 90 days. On $AVAX , open bets rose 20.7% alongside price, with longs building.

$INIT
UPDATE
#INIT is getting a good volume here. We can see 60%+ gain here ✍🏻
#INITUSDT #INITBTC

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

In cryptocurrency quantitative trading, the performance of machine learning models depends not only on the algorithm, but also on the quality of the input data. Raw price and volume records capture market changes, but may not directly express trends, momentum, and risk. Feature engineering is the process of converting raw data into information that is better suited for a model to learn from.

First, how can price features be constructed?

You can calculate returns over different

Why Is the Market So Nervous Ahead of U.S. Inflation Data?

Whenever major U.S. inflation data is released, global financial markets are like students waiting for exam results: calm on the surface, but already anxious inside.
The reason is simple: the results could change the market’s view of Federal Reserve interest rate policy.
If inflation comes in below expectations, investors may believe price pressures are easing and there is more room for rate cuts. U.S. growth stocks, tech stocks, and some gold assets may receive a sentiment boost.
If inflation comes in above expectations, the market m

What Are Precision and Recall? Why Should Trading Models Not Simply Aim for More Bullish Signals?

In cryptocurrency quantitative trading, a model may generate many bullish signals every day, but more signals do not necessarily mean more profitable opportunities. If a model frequently misclassifies falling markets as rising, traders may repeatedly hit their stop-losses. Precision and recall measure a model’s ability to identify bullish opportunities from different perspectives.

First, what is precision?

Precision is the proportion of samples that actually rise among all those the model class