Why is it that even when macro data is predicted correctly, trading doesn't necessarily make money? In the past, when facing Nonfarm Payrolls, CPI, and interest rate meetings, I always wanted to bet on the answers in advance: go long if the data was weak, go short if the data was strong. After losing a lot, I realized that the market isn’t trading on whether the data is good or bad, but on the difference between the data and expectations. Cooling employment seems favorable for easing, but if the market has already priced it in, the release might instead trigger profit-taking; strong data should suppress risk assets, but as long as it’s not as strong as expected, BTC can still rise. What’s more troublesome is that liquidity thins out instantly at the moment of data release, prices first sweep long positions, then short positions, and although the direction ends up correct, positions have already been liquidated. I used to open high-leverage trades before data releases, thinking my logic was sound, but as soon as the numbers came out, a spike would hit my stop loss first, and only then would the market move in the predicted direction. At that moment, I understood: having the right view doesn’t mean the trading structure is reasonable. Before major data releases, what really needs to be assessed is not just the result, but how much the market has already priced in, whether positions are crowded, and whether you can withstand sudden volatility. When there’s no clear edge, waiting for the market to complete the first reaction is usually more important than trying to grab those few seconds. Remember: data determines how the story is told, the difference in expectations determines where the price goes; guessing the numbers is just knowledge, surviving the volatility is trading.

Really want to slap myself twice! ZEC is so strong, it will definitely drive a sharp rise in the privacy sector. This has already gone through several waves. Last night, when DASH retraced to around 50, I was about to act! But then I saw a video just as I was about to place the order, and after watching it, I completely forgot about it. Damn, the news misled me 😂 Woke up this morning to see DASH has risen so much, I regret it to death. A 30% increase means the main rally is about to start. The last wave tripled, so breaking new highs this time should be no problem 😄

Why do you start losing money as soon as you follow others' profitable trades? After years of trading, I increasingly believe that the easiest thing to copy when following trades is the position size, while the hardest to replicate is the logic. When others show a profitable trade, you see the entry price and the return, but you don't see when they opened the position, how low their cost was, whether they reduced their position early, nor do you know if this trade only accounts for 1% of their account or if they risked their entire net worth. They can calmly hold through a 20% pullback, but you start losing sleep after a 5% drop. I have also chased so-called "expert trades." Seeing others make huge profits, fearing missing out, I skipped the research and bought in directly. When the price dropped, I didn't know if the original logic was invalid; I wanted to cut losses but feared selling at the bottom, wanted to add to the position but had no basis. In the end, others might just be experiencing a profit retracement, but I was stuck with real money. What can truly be copied is never a specific code, but how the other party selects opportunities, controls position size, and handles mistakes. Without this background, following trades is essentially using your own risk to vote for someone else's viewpoint. Missing out on a rise won't make your account lose money; fear of missing out will. Remember: The entry point others give you does not come with their cost, position size, or risk tolerance; a trade you cannot independently judge when to exit from never truly belongs to you from the start.

The most common mistake right now: seeing a bearish divergence at the top and thinking the market is over! My view: a medium-term reversal has already been established, but the short-term risk of a top is also rising. After the market started, $BTC broke through the long-term downtrend and the $60,000-$66,000 range, so it can no longer be considered a normal bear market rebound. The problem lies in the second attempt to break above 82,000. The MACD red bars have clearly shortened, RSI and KDJ highs have moved lower, a potential daily bearish divergence has appeared, open interest continues to increase, and funding rates have turned positive, indicating that a large amount of leveraged capital has entered in the latter half of the rally. If spot buying can’t keep up, high-level oscillation can easily turn into a long squeeze. But a short-term pullback does not mean the medium-term trend is over. Historically, after BTC rises more than 20% in a single week, the probability of continuing to rise after 4 weeks is about 85.7%, and about 71.4% after 12 weeks, but the median maximum drawdown in the following 12 weeks is also 14.5%. Based on $82,300, the corresponding level is roughly $70,300, though this number will change as the high moves up! From now on, only three levels matter: $80,000: short-term strength/weakness boundary $78,000: bearish divergence confirmation level $70,000-$74,000: medium-term pullback zone So above $80,000, I won’t chase longs, nor will I heavily buy the top just because of divergence. Missing out at most means less profit; chasing the price recklessly to make up for missed opportunities is the easiest way to lose real money.

Why do people who made big profits in one market cycle tend to lose more easily in the next? When I first entered the crypto space, I thought those who made big money had more experience and would only earn more in the next cycle. Later, I realized that success in the previous cycle can sometimes be more dangerous than failure. In a bull market, everything goes up, making it easy to mistake market gains for personal skill. After the account multiplies several times, positions get larger, stop losses get farther, and even ordinary returns feel unworthy. Having made tenfold gains last cycle, a 30% rise next cycle feels too little. I have also experienced this kind of inflation. After hitting the main trend in a certain cycle, I mistakenly thought I understood the market, then tried to replicate the same method in another phase. But chasing gains works in a bull market, while in a sideways market it leads to repeated losses; diversifying holdings works when altcoins rise broadly, but after liquidity shrinks, you’re left with a bunch of tokens no one wants to buy. The hardest thing to admit is: making money depends both on skill and the cycle’s favor. When the market environment changes, previously correct experience can become the most costly obsession. Before each market cycle starts, you should treat yourself as someone who needs to prove themselves again: re-examine liquidity, reassess position size, and accept that "this time it might not be so easy to make money." Remember: the real danger is not having never made big money, but after making it, writing luck into your personal skill manual.

Next week: This round of pullback may not be over yet; it depends on where support is found! My judgment: Within a week, the probability of first dipping then recovering is higher, with overall weak volatility; there are currently no conditions to directly restart the main upward trend. Previously, $BTC surged into the $80,000 resistance zone. I do not recommend chasing the rally. Now the price has fallen about 6% from $81,500, retesting $75,000–$76,000, indicating that the overhead relief and profit-taking pressure is indeed heavy. Technically, it has shifted from offense to repair. Daily MACD shows a high-level death cross, histogram turning green, with a clear weakening of upward momentum, but the KDJ J value has already dropped below zero, indicating short-term selling pressure is releasing quickly. Continuing to short now is also not cost-effective. From $57,800 to $81,500, the 38.2% retracement level is about $72,400, and the 50% retracement level is about $69,600. Key levels to watch next: $74,000–$75,500: Holding here could lead to a rebound above $78,000 $72,000–$73,000: Quick recovery still counts as normal repair $69,000–$70,000: Losing daily support indicates the strong rebound structure is broken This pullback is the first pressure test after the rebound. The most important thing in the coming week is to observe whether ETFs, U.S. stocks, and spot buying are willing to re-enter between $72,000 and $75,000. #BTC高位回落，黄金联动受考验

WTI has risen from about $68 in July to a higher low, currently breaking through the long-term downtrend line and reaching around $88. Technically, it has strengthened, but the $88 to $92 range remains a dense resistance zone. How high it can rise next depends not on demand but on whether geopolitical risks cause actual supply disruptions. This round of increase is mainly driven by US-Iran clashes, attacks on oil tankers, and restricted passage through the Strait of Hormuz. The US Strategic Petroleum Reserve is again at its lowest level since 1982, and the market is repricing supply risks. OPEC+ plans to increase production by about 188,000 barrels per day in September, but war and transport restrictions may keep some of this increase only on paper, merely capping oil prices and making it difficult to immediately eliminate geopolitical premiums. If WTI holds above $90, inflation and rate hike expectations may rebound, US Treasury yields will also face upward pressure, benefiting energy stocks relatively, while technology, consumer, aviation, and BTC sectors need to guard against a stronger dollar and tightening liquidity. I tend to think Trump will continue to use military pressure as leverage for negotiations in September while pushing for increased production to control oil prices. He needs to suppress Iran and does not want high oil prices to backfire on inflation. The baseline range for September is expected to be $82–$95. If it holds above $92 and conflicts escalate, it could reach $95 to $100; if negotiations resume and shipping routes improve, it may fall back to $80–$83. This is not the time to chase highs or rush to test the top. Wait for geopolitical premiums to cool down and for technical structures to weaken before judging the turning point.

#OKX Million Planner｜After 1 million U, the most valuable thing is not the rate of return, but the right of choice. If I had 1 million U, in the next 30 days I would trade according to a script: BTC will most likely fluctuate widely between 70,000 and 83,000, and only reprice after breaking out of this range. So I won’t bet on a direction all at once. 400,000 core position: BTC + ETH Start buying BTC in batches around 75,000, the closer to 70,000, the heavier the position. The core position is not for guessing the lowest point, but to ensure I’m on board when the real start happens. 200,000 strategy position: Grid + Dual Currency Win As long as the 70,000–83,000 range is not effectively broken, let the oscillation make money for me. But the grid is not a money printer, and dual currency win is not a deposit. Once a one-sided trend forms, the strategy immediately exits. 100,000 offensive position: Futures + Options No bottom fishing, no top guessing, only right-side trades after confirmation, with single trade risk controlled within 1% of total assets. Options mainly serve as hedges. Relying on high leverage to double 1 million is essentially booking the next zero. 300,000 cash position: This is the soul of the whole allocation If volume stands firm above 83,000, take some funds to follow the breakout; if it effectively breaks below 70,000, don’t rush to bottom fish, wait for leverage cleanup and panic release before buying truly cheap chips. My million-dollar account has only one principle: When rising, I hold positions; when oscillating, I collect rent; when crashing, I have cash; if I’m wrong, I admit it. The real advantage of 1 million is never about buying more, but that when the market doesn’t offer good prices, I can completely choose not to buy.

Why do trading methods with very high win rates end up more likely to blow up? When I first started trading, I was especially superstitious about win rates. Making a profit eight out of ten times seemed much more reliable than only four out of ten. Later, I realized that win rate is just surface-level; the profit and loss structure determines whether you can survive. Grid trading, holding losing positions, and continuously adding to positions often create very attractive win rates. In a ranging market, every pullback can unlock losses, and after several months with almost no losses, confidence grows and position sizes increase. Until the market experiences a true one-sided trend, and all the small profits from dozens of trades are wiped out in one go. I used to have a "rarely stop loss" method. The account curve looked stable, and friends thought I had found the holy grail. But it wasn’t about accurate judgment; it was about postponing loss realization. Eventually, when extreme market conditions hit, small losses turned into big losses, and big losses became unmanageable positions. A strategy can’t be judged only by how many times it wins; you also have to consider how much you lose when you’re wrong once, and whether you can survive consecutive mistakes. Winning nine times, earning 1% each time, but losing 30% on the tenth time — a high win rate is just a slow path to sudden bankruptcy. Trading isn’t a test scored by the number of correct answers. Remember: win rate makes you feel smart, but the profit-loss ratio and risk limits determine whether you can stay in the market long term.