What Is a Moving Average System? How Can Different Moving Average Periods Be Used to Identify Trends and Potential Trading Opportunities?

In cryptocurrency trading, BTC’s short-term volatility often makes it difficult to judge the overall direction. Moving averages (MAs) smooth price data over a period of time, helping traders observe trends, identify potential support and resistance, and avoid overreacting to short-term noise.

First, what is a moving average system?

A moving average is the average closing price over a given period. Common periods include MA5, MA20, MA60, and MA120. Short-p

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 price 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 predefined rules after the price

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

In crypto quantitative trading, a model may generate a large number of bullish signals every day, but more signals do not necessarily mean more profitable opportunities. If a model frequently misclassifies downtrends as uptrends, 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 actually followed by an upward move among all th

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!

$PI I left ages ago; keep the music playing and keep dancing

NEAR AI patched an SGLang vulnerability after an attacker accessed part of its infrastructure on Nov. 8.
The team contacted affected users. NEAR Protocol and NEAR Intents were unaffected, according to co-founder Illia Polosukhin.
@NEARProtocol @ilblackdragon

7R on XAUUSD today.
A good Tuesday 😊🫶

🚨 BITGO Q3 UPDATE
📉 Revenue down 51% YoY
📈 Net income nearly doubled
💰 Driven by $71.5M in treasury gains
⚠️ Important: The increase in profit came from investment gains, NOT improved core operating performance
#Bitgo #CryptoFinance #Q3Report

$PIEVERSE Bullish breakout…‼️…Buyers target new highs…‼️Entry: $2.05 – $2.13Take profit 1: $2.2740..||..Take profit 2: $2.4500..||..Take profit 3: $2.6500Stop-loss: $1.9240

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

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

South Korean stocks rebound sharply: Short-term recovery or the start of a new rally? I favor SK hynix
The KOSPI rebounded sharply today, rising more than 5% at one point intraday and closing up around 4.4% at 5,239 points, ending its losing streak. Samsung Electronics rose around 4.7%, and SK hynix gained around 6.7%, as AI and semiconductor stocks heated up again. The rally followed a rebound in US chip stocks (the Philadelphia Semiconductor Index surged, with AMD and others performing strongly) and represented a recovery from last week's selloff, triggered by concerns about data center regu

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.

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 an RSI and MACD Combination Strategy? How Can Different Indicators Validate Each Other to Reduce Misjudgments from a Single Signal?

In cryptocurrency trading, using a single technical indicator can leave you vulnerable to interference from sideways markets or short-term volatility. RSI mainly reflects recent price momentum, while MACD helps track trend direction and changes in momentum. Combining the two lets you analyze the market from different angles, but it does not mean the signals will necessarily be more accurate.

First, what does each indicator show?

RSI is commonly used to

$TOTAL crypto MC keeps doing what it has done from 2021 to 2023, with EXACT time to the day from the top to the absolute bottom.
Now retracing to the same Fib level, while 0.382 was also the level where it bottomed.

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

In crypto quantitative trading, machine learning models may predict future price movements based on features such as price momentum, trading volume, volatility, and funding rates. But when a model predicts a bullish or bearish outcome, that does not mean traders know why it made that prediction. SHAP is a method for explaining 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 a