RektDetective

Recently, I saw someone discussing Bitcoin's energy consumption issues again, and it suddenly reminded me that this topic is indeed worth a good discussion.
A few years ago, Cambridge University conducted a study showing that the electricity consumption for Bitcoin mining had reached 134.89 terawatt-hours. If mining were considered a country, its energy usage would rank 27th in the world, equivalent to Malaysia's entire annual electricity consumption. This number is truly astonishing, but to understand why this is the case, we first need to clarify what mining actually involves.
In simple term

Recently, someone asked me what POC means in SOL, and actually, this is a trading tool that many people tend to overlook.
POC stands for Point of Control, simply put, it is the price point with the highest trading volume within your selected time period. Imagine looking at a volume distribution chart, and you notice that trading is particularly active at a certain price level—that's where the POC is located. Market participants have reached the greatest consensus in this price range, so the POC essentially represents the market's fairest value zone.
When I trade, I mark the POC with a red line

Recently, I’ve noticed that many beginners overlook a key indicator when evaluating crypto projects, which is the true meaning of FDV (Fully Diluted Valuation). Many people only look at the circulating market cap when placing orders, only to be hit hard by future token releases.
Let's start with the most straightforward example. Imagine you buy a project that currently appears to have a low market cap, but have you considered what would happen if all the locked tokens were unlocked? This is the core concept of FDV — it reflects the project's true potential value once all tokens are in circulat

Recently rethinking Hayek's ideas has truly helped me understand why he became one of the most visionary economists of the 20th century.
When he took the stage to receive the Nobel Prize in Economics in 1974, no one predicted that four years later this thinker would do something in Paris—he publicly challenged all skeptics to debate, and no one responded. The real shock was not the silence itself, but Hayek's ideas were so sharp that to refute him was to refute reality.
His seven statements, each like a surgical knife cutting through the dark sides of power, institutions, and human nature. My

Recently, I’ve observed the appearance of a trumpet pattern in trading again, and this pattern definitely warrants thorough study. During the most intense market volatility, the trumpet pattern often emerges, and many people’s understanding of it is still not deep enough.
The trumpet pattern is essentially a reversal signal, especially prone to appear when market sentiment is extremely exuberant or panicked. Visually, it looks like a gradually widening trumpet, with increasing amplitude of ups and downs. This is not random fluctuation, but a reflection of fierce battles between bulls and bears

Read this article carefully, I dare say you are already ahead of 90% of people in the crypto world.
I've been thinking, why do most traders always lose money? I realized that the core issue isn't the market itself, but that they simply don't know how to identify the key levels in the market.
Imagine the workflow of a sniper. After receiving the mission, they spend time surveying the terrain, choosing positions, understanding the target's habits, preparing equipment, planning the retreat route, and then patiently waiting. The entire process seems tedious, but it's this meticulousness that guara

Recently studying harmonic pattern trading methods, I found that this approach is indeed used by many experienced traders as a powerful tool to identify reversal opportunities. It is said that the average win rate can reach 78.7%, but the premise is that you truly understand the logic behind each pattern, not just memorize the numbers.
Harmonic patterns are roughly divided into 8 types, each with its own characteristics and application scenarios. Let's start with the simplest ones.
The ABCD pattern is considered entry-level, composed of three waves and four points. After the impulsive wave AB,

Recently, I came across some data and wanted to chat with everyone about what Bitcoin mining is all about.
A 2021 study from Cambridge University found that Bitcoin mining’s electricity consumption has reached 134.89 terawatt-hours. If it were a standalone country, its power usage would rank in the top 30 globally. This figure is actually quite shocking—it’s equivalent to a medium-sized country’s electricity consumption for an entire year. Many people may wonder: what is mining, and why does it consume so much electricity?
Put simply, mining is about using computer computing power to compete f

Recently, I noticed a pretty interesting political gossip. Steven Cheung's days within the Trump camp don't seem to be going too well.
First, let's talk about his background. Steven Cheung is a Chinese American who grew up in California, and he's considered one of the most well-known Chinese American high-ranking officials in Trump's team. This guy used to be famous for being a fierce defender of Trump, with a tough mouth, often confronting reporters and dissing celebrities. His warlike style of speech has become his signature. But recent developments suggest he might have really pissed off Tr

Recently, I saw someone in the community asking what closing a position actually means, so I thought I might as well organize this topic, because really, many beginners don't understand it clearly.
In simple terms, closing a position means ending the trade you have already opened. But there's a common misconception here: closing a position doesn't necessarily mean selling. If you're going long and buying, then closing is selling. But if you're shorting and selling, then closing means buying back. This is a confusion many people have when they first start.
Closing a position roughly falls into

I've been thinking about an interesting phenomenon recently. When we talk about the wealthiest countries, most people's first reaction is the United States, but in reality, this concept needs to be broken down further.
The U.S. is indeed the world's largest economy, that's true. But if we look at GDP per capita, the situation is completely different. Places like Luxembourg, Singapore, and Macau have per capita wealth levels that actually far surpass the U.S. For example, based on GDP per capita, Luxembourg reaches $154,910, Singapore $153,610, while the U.S. only has $89,680, ranking tenth.
Th

Recently chatting in the circle, I found that many people are considering entering Web3 jobs. Indeed, remote work, high salaries, free travel... Just thinking about it is exciting. Writing code at the foot of snowy mountains, holding meetings by Erhai Lake—these dreams seem truly achievable in Web3.
But I must be honest, behind this freedom lie many pitfalls. Many only see the glamorous exterior of high pay and remote work, ignoring the two big mountains of legal risks and lack of protections.
Let's start with the most practical issue. Job hunting in Web3 is completely different from tradition

Recently, I’ve been looking into DeFi lending and borrowing, and I’ve noticed a pretty interesting phenomenon.
Traditional DeFi protocols have always had a rigid logic: want to borrow money? No problem, but you need to lock in $150 to borrow $100. Collateral ratios often range from 120% to 170%, which indeed protects lenders but also keeps most people out. The people who can actually use DeFi lending are basically those with substantial capital. In contrast, traditional finance has long been playing the unsecured system with credit cards and personal loans, but Web3 has yet to make a breakthro

I recently came across an interesting topic that made me think of a detail many people overlook: why is our currency called "CNY" internationally instead of "RMB"? This actually reflects an intriguing evolution of our currency from ancient times to the present.
Speaking of which, China's monetary history is very long. From the gold and silver of the Han Dynasty, to the Kaiyuan Tongbao of the Tang Dynasty, and then to the use of paper money replacing coinage starting in the Song Dynasty, each era has its own story. During the Qing Dynasty, there were even several currency crises, leading to con

Recently, while studying technical analysis, I found that many people actually have misconceptions about this set of tools. To be honest, technical analysis is often criticized as "storytelling with charts," but the problem isn't with the tools themselves; it's whether the user truly understands the underlying logic.
Simply put, technical analysis involves judging market direction through price movements. When prices continuously rise or fall, we call it a "trend"; conversely, when prices fluctuate within a certain range, it's called "consolidation." It's that simple, and can be summarized int

Someone asked me before why I like to use EMA to judge trends. Today, I'll simply explain how this indicator works because compared to the simple moving average (SMA), EMA provides much more help for my trading.
First, let's talk about the difference between EMA and SMA. SMA is the simple moving average, which sums up the prices over a period and divides by the number of data points, giving each data point equal weight. But EMA is a weighted moving average, where more recent prices are more important, and earlier prices have lower weights. The benefit of this is that EMA can respond more sensi

Recently, I’ve been thinking about an interesting question—on the release day of U.S. non-farm employment data, why does the crypto market move with such intense volatility?
Many people think that NFP reports only affect the forex market and stocks, but that’s not the case. I’ve noticed that whenever employment data comes out, Bitcoin and Ethereum both show a clear, coordinated reaction. Right now, BTC is above $78k and ETH is above $2.3k, but the price swings before and after the NFP release are often quite surprising.
The core logic is this: strong employment data boosts the U.S. dollar inde

Recently, I saw someone in the community asking what the divergence rate is, and it reminded me that when I first learned technical analysis, I also got stuck on this indicator. So today, I want to share my understanding of it.
Simply put, divergence means deviation. The divergence rate indicator is a tool used to see how far the price deviates from the moving average. Think about it, the price can't stay right on the moving average every day; the market naturally fluctuates. But the key point is, when the price is too far from the moving average, it usually reverts, and that’s the core logic

Recently, I've been thinking about a question many people ask: What are Halal and Haram? These two concepts are actually at the core of Islamic faith, directly influencing every decision in a Muslim's daily life.
In simple terms, Halal refers to things that are permitted, lawful, and pure, while Haram refers to things that are forbidden and harmful. But this distinction isn't just about food; it covers all aspects of life.
You can earn money through honest work, speak the truth, and treat others kindly — these all fall under the category of Halal. Conversely, alcohol, interest-based transactio