How can out-of-sample testing help prevent mistaking accidental patterns in historical market data for a lasting edge?

A trading strategy performing well in historical backtests does not mean it can adapt to future markets. To reduce the risk of overfitting, out-of-sample testing is a crucial step in validating a strategy.

First, what is out-of-sample testing?

Simply put, it means dividing historical data into different periods: one part is used to develop the strategy and adjust parameters, while another is excluded from optimization and reserved specifically to test how the strategy perfo

What Can Futures Premiums and Discounts Really Tell Us About the Market?

In the crypto market, when observing Bitcoin or Ethereum futures prices, you may notice that sometimes futures trade above spot and sometimes below it. This difference is known as a premium or discount, and is an important starting point for understanding the derivatives market.

But keep in mind: a premium does not necessarily mean bullishness, and a discount does not necessarily mean bearishness. What really matters is understanding why the spread forms and how it changes with market conditions.

First, what is a premi

#ShareWeekly
#JensenHuangResigns
📊 **NVIDIA: SHORT-TERM PANIC OR LONG-TERM OPPORTUNITY?**

In my view, Jensen Huang’s resignation as NVIDIA CEO is a major surprise for the market. However, I wouldn’t immediately conclude that the company’s fundamentals are also weakening.

NVIDIA still holds an important position in the AI and semiconductor industries. Its biggest challenge now is maintaining investor confidence and ensuring a smooth leadership transition.

🔍 **My strategy:**
- Short term: Watch out for volatility and selling pressure on NVDA shares.
- Medium term: Monitor financial perfor

How can you tell whether a trading strategy has stopped working, rather than mistaking a normal drawdown for a problem with the strategy?

A trading strategy experiencing losses during its operation does not necessarily mean it has stopped working. Any strategy involving uncertainty may go through drawdowns. What really matters is distinguishing normal fluctuations from signs that the strategy's edge is fading.

First, see whether the drawdown exceeds its historical range. If the current drawdown is significantly greater than what was common in historical tests, further investigation is warran

Guys, I’ve opened an initial short position. In this market, every rebound is a chance to short. Just go all in and be bold, and money will flow like water. Once it moves up, I’ll add to my position

What Is Triangular Arbitrage? How Can You Find Opportunities Using Price Relationships Between Three Trading Pairs, and Why Can Trading Fees Turn Theoretical Profits Into Losses?

In crypto markets, temporary pricing discrepancies can sometimes arise between different trading pairs on the same exchange. Triangular arbitrage takes advantage of these discrepancies by completing three consecutive trades to exchange assets, aiming to end up with more of the starting asset. But spotting a price gap does not necessarily mean you can make a profit.

First, what is triangular arbitrage?

Triangular ar

$BTC will never go below $70k
Cho Cho Cho 🤣😀🤣
Where is their tears 😂

How should volume be used alongside price analysis to better assess whether a breakout will be sustained?

In crypto markets, price tells us where the market is moving, while volume helps us understand the level of trading participation behind that move. Together, they can offer more clues for assessing a breakout’s credibility, but they cannot guarantee an accurate prediction.

First, understand what volume means. Volume reflects trading activity over a given period. When the price breaks through a key resistance level and volume rises significantly at the same time, it usually indicates incr

What Is the Break-Even Win Rate? How Can You Calculate the Minimum Win Rate a Trading Strategy Needs to Cover Trading Costs?

In cryptocurrency trading, many people know their win rate but not how high it needs to be to actually make a profit. If winning trades earn little while losing trades lose a lot, you can still end up losing money even if you make the right call more often. The break-even win rate helps traders understand the minimum performance their strategy needs to achieve.

First, what is the break-even win rate?

The break-even win rate is the minimum win rate required for the lon

The daily support/resistance line is starting to rebound. Well, let’s look at the weekly support/resistance line: the next level is 57000. The support/resistance line at the very bottom on the monthly chart is 51000. It will reach 57000 next week and 51000 the week after next$BTC

SOL’s morning bearish thesis played out across the board, with price action smashing straight through the take-profit target.
A high-short setup at 81.5-82.0 was laid out in the morning. Price peaked at 81.07 before turning lower, sliding all the way to 77.83. The levels were pinpoint accurate, and the downside far exceeded expectations.
True market intuition means knowing resistance and support levels inside out: where price will turn and where it will break, all under control. #sol

Someone please tell me this is all going to be over
I hate it when I’m wrong !

Has it been listed on Ccmax? The data looks pretty good.

Why can spot and futures arbitrage still lose money in practice, even when it seems like a sure thing?

When Bitcoin futures prices are significantly higher than spot prices, a common strategy is to buy spot while selling futures, then wait for the price spread to converge and profit from it.

This strategy is commonly known as cash-and-carry arbitrage. It has a clear pricing rationale, but that does not mean it is risk-free.

First, the spread is not the same as the final profit.

Suppose an asset has a spot price of 100,000 USDT and a futures price of 102,000 USDT, for an apparent spread of

What is statistical arbitrage? How can historical relationships between assets help identify trading opportunities, and why might historical correlations suddenly break down?

In the cryptocurrency market, some assets have long shown similar price patterns. When their historical relationship temporarily diverges, traders may try to capitalize on this deviation. This is the basic idea behind statistical arbitrage, but historical patterns are no guarantee of future repetition.

First, what is statistical arbitrage?

Statistical arbitrage is a type of trading strategy that uses historical data, s

After a Losing Streak, Why Should You Reassess Your Strategy Instead of Rushing to Add to Your Position to Recover Your Losses?

The most dangerous point in a losing streak is often not when your account balance falls, but when you become eager to prove yourself and make your money back as quickly as possible.

First, emotions can easily change your trading rules. You may have planned to wait for a signal to be confirmed, but enter early because you can’t accept the loss. You may have set a risk limit, but keep adding to your position in an attempt to break even. At this point, your trading ha

Nvidia’s CEO suddenly gets replaced—could the AI bubble burst early? This time, the market’s concerns are no small matter!

Huang’s departure from Nvidia may affect more than just NVDA shareholders.
Why?
Because Nvidia is no longer an ordinary chip company; it is a key engine of the entire AI industry.
Cloud computing giants buy its chips, data centers expand around them, AI startups rely on them to train models, and capital markets build their vision of the future around them.
Now the chief architect of this engine is suddenly leaving, so investors naturally wonder: Is the AI industry’s growt

A tank of fish, half a cup of tea, watching the market rise and fall—somehow, I’ve become more and more composed

The biggest lesson from this Bitcoin short trade is: never cling to wishful thinking in the face of a trend. After meeting resistance at 72,000 and pulling back, the price broke through multiple support levels along the way. Some rushed to buy the dip and bet on a rebound, only to get trapped step by step. Those who instead recognized the bearish trend, opened shorts on rebounds, added to positions after breakdowns, and took profits in batches, without letting interim bounces disru