Why Is the Market So Nervous Ahead of U.S. Inflation Data?

Whenever major U.S. inflation data is released, global financial markets are like students waiting for exam results: calm on the surface, but already anxious inside.
The reason is simple: the results could change the market’s view of Federal Reserve interest rate policy.
If inflation comes in below expectations, investors may believe price pressures are easing and there is more room for rate cuts. U.S. growth stocks, tech stocks, and some gold assets may receive a sentiment boost.
If inflation comes in above expectations, the market m

What Is a Classification Threshold? Why Can Changing a Probability Cutoff Alter an Entire Trading Strategy’s Returns and Risk?

In crypto quantitative trading, a machine learning model may predict a 65% probability that BTC will rise in the next period. But should traders buy immediately? The answer depends on the classification threshold set by the strategy. A classification threshold is the cutoff that converts the probability output by a model into an actual trading signal. It affects the number of signals, the rate of false predictions, and the final trading results.

First, what is a clas

Brother Bj arrived at the office at 10 a.m. and opened his futures account. He’s currently down 730,000, and his oil positions are down more than 4 million.
At noon, we grabbed a quick bite, then talked until now. He shared how he built his wealth trading steel in previous years, and today he brought along a bottle of 30-year-old Kweichow Moutai.
We talked in depth over tea. My biggest takeaway: if you don’t understand technical analysis, you absolutely shouldn’t touch futures. This business is nowhere near as simple as people imagine.
The most eye-opening thing was that Brother Bj feels no pr

How much does she fucking hate men?
Who hurt her this badly?

XHunt has updated its social feed—looks great. It really lives up to its reputation for having a sharp eye in the crypto world.

You can check it out by clicking the button next to Edit.

I didn’t use this plugin much before, but when you come across scam projects or KOLs who are all hype, it lays everything bare.

And now XHunt also has EchoHunt, where you can take on sponsored tasks and earn some nice cash rewards. I earned 300U this time, which made me pretty happy.

The U.S. labor market is adding to the turmoil too! Inflation has fallen, so why is the Fed still afraid to cut rates?

Many people think that as long as U.S. inflation falls, the Fed can comfortably cut rates. But in reality, there is another important variable that is often overlooked: the labor market.
If employment is too strong, it may mean wage growth and consumer demand remain robust, making inflationary pressures difficult to eliminate completely; if employment is too weak, it may mean the economy is losing momentum.
This puts the Fed in a dilemma: if the economy is too hot, it doesn’t

What Is the Brier Score? How Can We Mathematically Evaluate the Quality of a Trading Model’s Probability Predictions?

In crypto quantitative trading, a model can often correctly predict the direction of price movements without its probabilities being reliable. For example, if a model predicts a 90% probability that BTC will rise, but the price actually rises only 60% of the time for similar predictions, it may be overconfident. The Brier score can help us evaluate the error between probability predictions and actual outcomes.

First, what is the Brier score?

For binary predictions, the Brier

$ARB
SHORT
ENTRY 0.16870 - 0.17
TARGETS : 0.1658, 0.163 , 0.16
STOPLOSS: 0.17035
LEVERAGE: 50X
INVESTED FUND ONLY 2%

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 their profits shrink significantly in live trading. The reason may not be market direction predictions, but trading costs such as fees, bid-ask spreads, and slippage. The more trades you make, the more important these costs become to your final 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 each round-trip trade is 10 USDT, the net

What Is Signal Filtering? How Can False Breakouts and Invalid Entries Be Reduced in Crypto Trading?

In crypto trading, many traders immediately chase the price when it breaks through a resistance level, but the price sometimes quickly retreats, forming a false breakout. The purpose of signal filtering is to screen out low-quality opportunities using predefined conditions after a trading signal appears, reducing unnecessary entries. However, more filters do not necessarily make a strategy more reliable.

First, what is signal filtering?

Signal filtering means checking the trend, trading volum

$XAU
xau
XAUUSDT
Perp
4,123.73
+0.57%

‌$BTC
btc
BTCUSDT
Perp
74,682
+0.70%

‌Support 1: $73,938
Support 2: $71,835
Support 3: $68,676
Market outlook:
If BTC reclaims $75,000–$75,877 and maintains its position above this zone, buyers could attempt another move toward $76,000–$77,000.
On the downside, a confirmed breakdown below $73,938 could increase selling pressure and expose the $71,835 support area.
My analysis: Bitcoin remains under bearish pressure. Traders should watch whether buyers can defend the $73,900 region. A strong recovery above $75,877 would be an important early s

Some notable signals are starting to emerge on the $BTC side.
On the daily chart, the price continues to fall while RSI is making higher lows. In other words, even as the price hits new lows, selling momentum is not as strong. This is a strong positive divergence.
Yesterday's trading volume also gave me hope. Also, while Spot CVD is positive on most exchanges, Coinbase has not yet joined the buying in a meaningful way.
There is no confirmation of a reversal yet, but the picture is getting more interesting.
I would especially like to see buying pick up on Coinbase as well.
Let's see if the bul

$BTC
BTC View Update:
After the decline on the lower time frame, BTC has been consolidating. The rebound structure isn’t very strong, so there may still be downside risk. I’m also sticking with my previous outlook and will keep watching how price reacts at liquidity levels.
Trading plan: I opened an initial position at 72888. If it drops 2,000 points, I’ll add to the position. I plan to hold for the medium term and ride a major rebound or reversal!

The ChiNext Index has really been beaten down this time, falling nearly 45% from its high. It’s probably close to bottoming out.
It finally stopped falling last Thursday, and today it rebounded on heavy volume. The market looks pretty healthy. Tech was especially active, with multiple stocks in humanoid robotics and AI short dramas hitting their daily limits; computing power and semiconductors also rebounded.
For now, the market is just repeatedly testing the bottom. Stay calm and ride it out!

$HYPE 2nd Target Completed 👍

Stoploss at target 1 ⚠️$EURUSD

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

Filecoin was chosen to store petabytes of interstellar gas simulation data generated by Cornell astrophysicists.
The network has also taken in data from the Smithsonian and MIT Open Learning for long-term preservation.
@Filecoin

What Is the Brier Score? How Can Mathematical Methods Evaluate the Quality of a Trading Model’s Probability Predictions?

In crypto quantitative trading, even if a model often correctly predicts whether prices will rise or fall, that does not mean the probabilities it gives are reliable. For example, if a model predicts a 90% chance that BTC will rise, but prices rise only 60% of the time after similar predictions, it may be overconfident. The Brier score can help us evaluate the error between probability predictions and actual outcomes.

First, what is the Brier score?

For binary predictions