Short-term bearish sentiment is pervasive, but has the medium- to long-term trend actually broken down? Looking beyond daily chart noise, we’ll comprehensively assess the outlook for BTC and ETH based on long-term moving-average structures, token turnover, and macro themes! Bitcoin market analysis $BTC $ETH Latest YouTube video from Chain Blade: Bitcoin market analysis

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?

$RKLB SHORT SETUP — BEARS TAKING CONTROL!

$RKLB is losing momentum after a sharp rejection from 60.76. Sellers have pushed the price lower, and the recent consolidation suggests another downside move could follow.

Entry: 54.51
SL: 55.65

TP1: 53.80
TP2: 53.25
TP3: 52.50
Final Target: 51.35

The strong rally has been followed by aggressive selling, with price struggling to recover above 55.00. A breakdown below 54.20 could open the door for another decline toward the lower support zones.

Invalidation: Sustained recovery above 55.65.

$RKLB bears are watching the next breakdown!

What are we trading, what are we trading?
Are we in the meme agent archaeology phase now?
How come Neiro and PNUT have both shot up?
What are you guys going after next???

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

$GRAM #GRAM
Preparing for breakout of Descending Channel.
Successful breakout could provide 40-45% rise during coming days✍️

What if your inbox paid you for your attention?

Most professionals receive dozens of unwanted messages every day. Spam, automated promotions and random sales pitches waste valuable time.

Liberdus introduces an interesting idea: The Paid Inbox Economy.

Here is how it works:

• Known contacts and verified connections can message you for free.

• Unknown senders must pay a small $LIB fee to reach your main inbox.

• 90% of the fee goes directly to the receiver.

• The remaining 10% is permanently burned, reducing the token supply.

But Liberdus is not just about monetising messages.

It combin

What Is Walk-Forward Testing? Why Can Backtesting Over a Fixed Period Hide Strategy Flaws?

In cryptocurrency trading, market conditions are constantly changing. A strategy may perform exceptionally well in a bull market but suffer frequent stop-outs in a sideways market; it may also be profitable on a particular stretch of historical data but fail to adapt to subsequent volatility. Walk-forward testing can help traders assess how well a strategy adapts across different periods.

First, what is walk-forward testing?

Walk-forward testing typically divides historical data into consecutive time

What Is Walk-Forward Testing? Why Can Backtesting Over a Fixed Period Hide Strategy Flaws?

In cryptocurrency trading, market conditions are constantly changing. A strategy may perform exceptionally well in a bull market but suffer frequent stop-losses in a sideways market; it may also make a profit on a particular stretch of historical data but fail to adapt to subsequent volatility. Walk-forward testing can help traders assess how well a strategy adapts across different periods.

First, what is walk-forward testing?

Walk-forward testing typically divides historical data into consecutive tim

I can't believe people voted for this guy to leade the labour party.

What Is Survivorship Bias? Why Can Studying Only Cryptocurrencies That Still Exist Today Overestimate Strategy Returns?

In the cryptocurrency market, some traders select currently popular and actively traded coins for historical backtesting, then use the results to judge whether a strategy is effective. 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

Who will become the next market leader in U.S. stocks: Nvidia, Microsoft, or Google?

Whenever the U.S. stock market rebounds, AI tech giants are always the biggest draw.
The reason is simple: They are not only some of the market’s largest companies, but also major participants in the wave of investment in artificial intelligence.
Nvidia represents AI computing power, Microsoft represents cloud computing and enterprise AI applications, while Google continues to expand in models, search, and cloud services. Their businesses differ, but all three hold important positions in the development of th

Prediction played out | Rebound met resistance and fell as expected
Shorts in the BTC 75500-76000 resistance zone played out, with the price hitting a low of 74142 and offering 1300 points of downside.
A weak rebound doesn’t change the broader bearish structure. Follow the trend and short at higher levels, waiting for the next target.

Soaring to $905! $SNDK surged overnight, leaving shorts completely stunned

This guy works at a security booth during the day and makes one trade at night—no stress about life.

SanDisk surged to $905 intraday last night, sparked by one key factor: November NAND contract prices jumped 50%, far exceeding market expectations. The third price hike this year has fully ignited the memory sector. Morgan Stanley swiftly rated SNDK “Overweight,” while demand for high-performance flash memory from AI servers continues to soar. Supply is expected to remain tight at least through 2028. This isn’t a rebo

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

🏆 Gate hits the global Top 3 — giveaway time! 🎁
Per DeFiLlama (Nov 9), Gate ranked 3rd globally among CEXs, with $40.66M in 24-hour net inflows.
Let's celebrate 💙
🎁 3 winners × 5 USDT
Join in 👇
✅ Follow @Gate_Livezh & @Gate__Live
❤️ Like + Repost
💬 What's a recent win you're proud of? Share it below! 🏆
‍#GateLive #Gate

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 $EDGE 😍😍😍$

What Is the F1 Score? How Can It Combine Precision and Recall to Evaluate a Trading Model?

In crypto quantitative trading, one model may issue very few bullish signals, achieving high precision but missing many opportunities to capture gains; another may identify most upward moves but generate many false signals. Looking at just one metric makes it difficult to evaluate a model comprehensively. The F1 score is a way to measure precision and recall together.

First, what is the F1 score?

The F1 score is the harmonic mean of precision and recall, calculated as: F1 = 2 × precision × recall ÷ (p