🛢️ BRENT CRUDE OIL FALLS TO ITS LOWEST LEVEL SINCE AUGUST!
📉 Oil prices continue to slide amid easing fears of further US-Iran military escalation.
💰 Brent dropped below $90, extending its sharp decline as markets anticipate reduced geopolitical supply risks.
🌍 Lower oil prices could ease global inflation and reduce pressure on energy markets. 📊

Genuine question... how am I supposed to prompt AI? I gave Fabel 5.2 (max effort) a paper and asked questions I know the answer to and it completely failed. So many wrong conclusions.
Clearly I am not using tool correctly?

#晒出我的合约收益 This trade is fully closed out. Waiting for the next opportunity.

Damn, I never expected Google to drive off-the-charts traffic and clicks directly to social media accounts!

If you manage 𝕏 (Twitter), YouTube, or Instagram, I strongly recommend linking your accounts to Google Search Console (GSC) right away. Most Web3 and AI creators are competing for traffic from 𝕏's own algorithm while overlooking the giant growth hack that is search engines.

The logic is actually pretty simple: 𝕏 long-form posts, YouTube video descriptions, and IG profiles are all continuously crawled and indexed by Google. Once you link your accounts to GSC, you can clearly see whic

If not buying the dip now, when? Wait patiently for the flowers to bloom

⏰ Day 407 Live Spot Execution | Picking Up Chips Below Miners’ Shutdown Price

Foreign media are buzzing this morning: #BTC miners’ average production cost is now as high as $78,000, and the price has fallen to $74k, forcing miners to pull the plug

Network mining difficulty is expected to plunge 6.4% (the biggest drop since the major bottom in late June this year)

No need to buy mining rigs or pay electricity bills—at 03:00:22 this morning, my DCA machine bought ready-made chips directly below miners’ cost:
• Bought today: 400 USDC @ $74,589.9
• Total holdings: 1.7621 / 3.00 $BTC (58.74% c

What Is SHAP? How Can We Explain Why a Machine Learning Model Gives a Bullish or Bearish Prediction?

In crypto quantitative trading, machine learning models may use features such as price momentum, trading volume, volatility, and funding rates to predict future movements. But when a model gives a bullish or bearish prediction, that does not mean traders know why it made that call. SHAP is a method for helping explain model predictions by analyzing how different features contribute to an individual prediction.

First, what is SHAP?

SHAP is based on the idea of Shapley values, which allocate c

Crude Oil Fell, Stocks Rejoiced! Geopolitical Risk Premium Fades—Who Are the Biggest Winners in This Rally?

The oil market has recently staged a dramatic turnaround.
Previously, expectations of escalating geopolitical conflict drove international oil prices steadily higher, as markets worried about disruptions to energy supplies. Now, signs of easing tensions have emerged, and investors are recalculating the risk premium, sending crude prices significantly lower.
As oil prices fall, the stock market seems to hear the starting gun, with risk assets rebounding across the board.
Why are stocks c

FeaturedWe’ve talked about Gate CFD a few times before, mainly covering the traditional asset classes available to trade and how they differ from crypto perpetual contracts.

Here’s a practical update: Gate Gold CFD is now available to trade on weekends, too.

The familiar XAUUSD gold/USD pair is available to trade 7 days a week, 23 hours a day, with trading paused only from 05:00 to 06:00 (UTC+8) each day.

This is a welcome change for anyone trading gold. Gold prices don’t stop moving just because the market closes on Friday, and the added weekend trading window gives traders another way to respond

What Is Data Leakage? How Is It Different from Look-Ahead Bias, and How Can You Avoid Misjudging Machine Learning Trading Models?

In crypto quantitative trading, machine learning models may achieve very high accuracy on a test set but perform poorly once deployed in real trading. Sometimes the problem is not that the model is insufficiently complex, but that data leakage occurred during training and evaluation, allowing the model to indirectly access information it should not have known.

First, what is data leakage?

Data leakage occurs when information that should not be available for the c

Once the value of $PI Pi is determined, its price will jump straight to that level, leaving you no chance to buy in gradually, because Pi is meant for spending, not speculation

What Is Survivorship Bias? Why Can Studying Only Coins That Still Exist Today Overestimate a Strategy’s Returns?

In the cryptocurrency market, some traders select currently popular and actively traded coins for historical backtests, then use the results to judge whether a strategy works. But if they ignore projects that have been delisted, lost liquidity over time, or performed very poorly, the backtest results may be systematically biased. This phenomenon is known as survivorship bias.

First, what is survivorship bias?

It refers to focusing only on objects that still exist or have succeede

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 traders may find that their profits shrink significantly in live trading. The reason may not be poor market analysis, 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 a round-trip trade is 10

What Is a Confusion Matrix? How Can You Understand the Exact Number of Correct and Incorrect Predictions Made by a Trading Model?

In crypto quantitative trading, a model may have a high accuracy rate, but that doesn't tell us where it is going wrong. For example, a model may be good at identifying declines but frequently miss opportunities to catch rises. A confusion matrix compares predictions with actual outcomes, helping traders see exactly how the model performs.

First, what does a confusion matrix include?

Take predicting whether the price will rise in the next period as an example. A

Great, ACT$ACT continues climbing to 011. The rise is quite fast, so it could easily pull back. I'll open a small short ahead of the pullback😍😍😍$ARIA $EDGE 😍😍😍$

$PEPE : Seems it's prepping for a nice 70-80% move up amongst the first ones

$BTC — Breakout or another drop? Bitcoin❗ is currently consolidating around $74,818, with resistance at $75,500–$75,700 and support around $73,500. A breakout above resistance could trigger a rebound; rejection could lead to another drop. Which direction do you think it will move next???