11.9 BTC Public Trade Ideas
【Long Trade Idea】$BTC
　　Entry range: around 735-745
　　Stop-loss: 730
Zhi Ying's tiered take-profit levels
　　First target: 755
　　Second target: 765
Third target: around 775
Fourth target: above 780

Trading factors: On the 4H timeframe, the price has fallen below the lower Bollinger Band and has so far failed to break above the 7-day moving average. MACD is below the zero line, and the recovery pattern is weakening. The decline has slowed, with price consolidating near the bottom. Early today, it broke below the low on the higher timeframe an

Why Do Some Trading Strategies Make Money in Backtests but Fail to Cover Trading Costs in Live Trading?

A trading strategy shows profits every month in backtests.

But once you start trading for real, you find that your account returns are far below expectations. You may even get the market direction right, yet your account balance keeps declining.

The problem may not be that you misread the market, but that you underestimated trading costs.

Profits in a backtest are only theoretical results. Returns after deducting actual trading costs are closer to the money you can really keep.

I. Tradi

Why can a more perfect backtest sometimes be more cause for caution?

In cryptocurrency trading, there is one thing particularly likely to inspire confidence: a beautiful backtest curve.

A high win rate, steadily growing returns, very small maximum drawdown, and profits in almost every market phase.

At first glance, this strategy seems to have found a market pattern.

But the problem is that if a strategy is developed by repeatedly adjusting historical data, it may have learned not market patterns, but accidental features in the historical data.

This is the core risk of strategy overfitting

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Can someone teach me how to apply for a physical card?

This massive $ETH bull got fully liquidated on his 56,667 $ETH ($118.4M) long during the market crash!
He lost $44.78M in total.

Old Huang cheats,
what’s that got to do with my Ethereum?
I’m getting caught in the crossfire just lying here.
If I cheat tomorrow,
does that mean U.S. stocks have to wobble too?

They were so close before—didn't the people around him notice? That can't be, right?

Why Does Higher Trading Frequency Make Profits Easier to Erode?

Some traders believe that constantly looking for opportunities can increase their chances of making a profit.

But in reality, every trade can incur new costs. The more trades you make, the more easily these costs accumulate.

Even a strategy that is fairly good at predicting market direction may ultimately fail to deliver the desired net returns if it trades too frequently.

I. Fees: Small Each Time, But They Can Add Up

Suppose the combined cost of buying and selling each time is 0.10% of the trade's notional value.

If the not

If you're unable to pay when buying USDT, you can contact me,
A 10-year veteran merchant—I’ll help you find a solution 😊

Feels like Zuckerberg is the only ultra-rich guy left who still flaunts his loving-husband image.
Bezos, Bill Gates, and Jensen Huang have all cheated or gotten divorced.
Looking around, Musk is the most honest: he’s been a scumbag from beginning to end, and makes no secret of it.
Why do rich people bother cultivating a loving-husband image?
They should learn from Musk’s scumbag image!
It’s the safest, least likely to blow up.
The most antifragile!

11.9 Market Overview Analysis

ETH Strategy Reference Setup
Rebound range: go long around 2130--2140
Stop loss: 2100
First target: 2180, second target: 2230

This is a short-term ETH candlestick chart. After a rapid, sharp drop to a low of 2050.32, small candles appeared and the price stabilized and began recovering. MACD bearish momentum is gradually contracting, forming an oversold rebound structure after the sharp decline. The current price is 2143.71, in the bottoming consolidation and recovery phase after the decline, with bulls betting on an oversold rebound.#BTC闪崩插针 #70%山寨币跌破200日均线 #Gat

Why Is It Easier to Underestimate the Impact of Costs on Long-Term Returns When Trading More Frequently?

Many traders have an intuition:

The more trading opportunities there are, the more chances there are to make money.

But in the cryptocurrency market, frequent trading also means more fees, more slippage, and more opportunities for execution errors.

The real question is not how many trades you can make in a day, but:

Is the expected return from each additional trade enough to cover all the costs it incurs?

I. Why Can Small Per-Trade Costs Have a Large Long-Term Impact?

Suppose a trade

Jensen Huang having an affair—what does that have to do with my account?🥲

I took a look around Chinese social media, and the lack of discussion about this is strangely out of character. You’d think something involving China and the U.S., Venezuela, and energy contracts would make more noise. China’s warning to the U.S. boils down to one thing: Do whatever you want in Venezuela, but don’t touch the contracts. No one would have dared say that ten years ago. Back then, we were more inclined to “set aside disputes and pursue joint development,” and when companies signed contracts overseas, they were used to writing political risk into the terms. When a change of governm

Today's gold: currently up $90 on $40. Keep grinding and earning ✊🏻✊🏻✊🏻 and try to win back the $300 I lost on Ethereum yesterday!