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

When reviewing their trades, many traders focus only on entry prices, exit prices, and profits or losses, while overlooking one factor that continuously affects account performance: trading costs.

The cost of a single trade may seem small, but as the number of trades increases, these costs can gradually erode an already limited profit margin.

I. A Small Cost Per Trade Does Not Mean a Small Long-Term Impact

Suppose a trader pays an average of 0.1% of the trade amount in fees and slippa

What do you really own when you buy an NFT? The image, the copyright, or a record on the blockchain?

When many people first encounter NFTs, they understand them as digital images that can be purchased, collected, and resold.

But the core value of an NFT is not just the image itself; it lies in recording the ownership and transfer of a specific token through blockchain. The real question to clarify is: what rights do you actually obtain after purchasing an NFT?

I. Owning an NFT does not mean owning the copyright to the work

Purchasing an NFT usually means you gain control of that token on t

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Those who went long at 810 according to the strategy have now reached 980. Everyone holding long positions should take profit and exit.
980~1000 is the short entry range; stop out if it breaks above 1020.

Where Does DeFi’s High Yield Come From? Understanding the Source of Returns Matters More Than Chasing Numbers

In the DeFi world, you may come across liquidity pools, lending protocols, or yield strategies offering quite high annualized yields.

But there is one question worth asking first:

Who exactly is paying these returns, and what mechanisms generate them?

If you cannot explain where the returns come from, it is difficult to judge whether they are sustainable.

I. Lending Interest: Returns Come from Borrowers’ Cost of Capital

In decentralized lending protocols, users can deposit assets

Why can trading strategies that perform excellently in backtests fail in real markets?

A trading strategy may show strong historical returns, a high win rate, and a maximum drawdown within an acceptable range. So why might the results be completely different once it is deployed in the real market?

This does not necessarily mean backtesting is worthless. Rather, performance on historical data does not equal replicable returns in live trading.

To determine whether a strategy is truly effective, you need to understand several key issues behind its backtest results.

I. Data bias: The foundatio

Why can a trading strategy’s returns look stable while hiding significant risks?

A trading strategy earns a little every day, records multiple consecutive wins, and rarely suffers losses.

At first glance, this may seem like a very stable strategy.

But if the market suddenly reverses, the profits accumulated earlier may disappear quickly, or even turn into losses far beyond expectations.

Why does this happen?

Because stable returns do not mean low risk, and a high win rate does not guarantee long-term profitability.

To determine whether a strategy is reliable, you need to focus on the ris

Why can a trade look profitable, yet the final account return still be disappointing?

In cryptocurrency trading, many people encounter this situation:

After buying, the price does rise, and the sale shows a profit, but when they check their account later, the actual return is not as high as expected.

The problem may not be with judging the direction. Rather, the profit you see may not be the same as the return that ultimately remains in your account.

I. A price increase does not mean all costs have been deducted

The actual result of a trade usually needs to take the following into account

Will Tonight’s U.S. Jobs Data Set the Direction? Three Signals May Hold the Key to the Next Move in U.S. Stocks and Bitcoin!

U.S. jobs data is due tonight. What should investors really watch? Rather than focusing on just one number, pay close attention to three signals.
The first is initial jobless claims. If they come in significantly above expectations, that could point to increasing layoff pressure; if they come in below expectations, it could indicate that the labor market remains resilient.
The second is continuing jobless claims. They can help the market gauge how difficult it is for un

We used to think of AI as something that could write an article, draw a picture, or revise a piece of code.
Basically, we'd give it a task and let it save us some time.
But now AI is starting to not only do the work itself, but also look for jobs and earn money.
Recently, I saw two new moves from @TermiX_ai that I think are worth discussing.
The first is the planned launch of AI Game Agent.
You don't need to know how to code or spend ages tinkering. Just tell the AI: I want to make a certain kind of game.
It can then try to help you build it.
The second is even more interesting: TermiX launche

MSCI has removed MicroStrategy (MSTR). The news has already played out, but the fund flows have yet to materialize, while its underlying business model faces the test of a “Davis double whammy.”

Short term (before the end of November): There is clear, unavoidable selling pressure. About $2.8 billion in passive funds must fully liquidate before the market closes on November 30—a “Sword of Damocles” hanging over the company.

Medium term (the next few months): The financing flywheel is being disrupted. Pressure on the share price will sharply increase the cost of issuing new shares to buy Bitco

Why Can a Trade Appear Profitable Yet Deliver Disappointing Returns to Your Account?

In cryptocurrency trading, many people encounter this situation:

After buying, the price does rise, and the sale shows a profit, but when they check their account later, the actual returns are not as high as they expected.

The problem may not be your market direction call. It may be that the profit you see is not necessarily the same as the amount that ultimately remains in your account.

I. A Price Increase Does Not Mean All Costs Have Been Deducted

The actual result of a trade usually needs to account fo

Fear & Greed Index at 28, with the market in the fear zone. Amid BTC weakness, funds are clearly shifting toward low-volatility assets. $TRX is currently at 0.3174, down just -0.03% over 24h, with trading volume of 17.4M USDT. MA5=0.3172 and MA20=0.31722 are nearly converged, RSI=50.1 is neutral, and the MACD histogram at +5.627e-05 remains bullish. Bollinger Bands [0.316429,0.318011] have narrowed extremely, with a range of just 0.76% across 30 candles—a typical sideways consolidation setup. The key signal is the funding rate of -0.0016%: shorts are paying, yet the price has not broken down,

AI is finally doing more than selling dreams! Commercialization enters the payoff phase—who can actually make money?

What has AI been best at over the past two years? Not making money, but telling stories! From AI chatbots to AI video, from autonomous driving to smart offices, tech companies have announced one initiative after another, getting investors fired up.
But now, the market is asking a different question: How much money can AI actually make?
AI commercialization is entering a critical stage where promises must turn into results. Companies are no longer satisfied with showing off how

Why Can Failing to Set a Stop-Loss Cause a Single Mistake to Trigger a Major Account Drawdown?

In cryptocurrency trading, many people know how important stop-losses are, but when they are actually faced with losses, they often make the opposite decision.

When prices fall, they tell themselves to wait a little longer; when the market keeps falling, they think a rebound is just around the corner; by the time their losses grow larger, they have long since abandoned their original trading plan.

The problem is this: making a wrong call on a trade is not frightening in itself. What is truly dange

$XAUT ‌#USOctoberPPIComingSoon

Looking at the 1H chart, the overall structure remains bearish as price trades below the WMA20 and the midline of the Bollinger Bands, but on the 30M and 5M charts, we are seeing a potential market structure shift from bearish to consolidation as the selling momentum stalls near the 3,968–3,974 support zone, forming a potential base for a reversal.

🟢In a Gartley Point of View:

While a textbook Gartley is not perfectly clear, if we map the recent price swings on the 5M and 30M charts, the recent drop to 3,968.71 acts as a potential Point D (the completion of

Morning alert: trade in batches. 4000–3974 has now broken through the first target, opening up 26 points of room, while the lows continue to push lower!$XAU #ZEC跌破1000美元 #黄金 ‌

#Gate股票暢聊季 An Affair, Hundreds of Billions in Market Value Vanished: Behind the Jensen Huang Controversy Lies the Pricing Logic of Capital Markets

Everyone is busy gossiping, discussing the collapse of Jensen Huang’s carefully cultivated image over more than four decades and his personal conduct. But the capital market’s reaction is far calmer than public opinion—and far more ruthless.
After the rumors emerged, NVIDIA’s market value plunged sharply in the short term. Many people are puzzled: It’s just the founder’s private life, so why should hundreds of billions in paper wealth disappear at

NVDA Trading Frenzy on Hyperliquid

Marked as "Important," Nvidia's (NVDA) open interest on Hyperliquid hits $535 million, becoming the fourth-largest market on November 12.
This headline offers a deep glimpse into the rapidly evolving world of decentralized finance (DeFi) and crypto derivatives. Hyperliquid is a decentralized perpetual exchange. The fact that NVDA's open interest—the total value of outstanding, unsettled derivative contracts—has reached $535 million on this platform is extraordinary.

It signifies that a massive amount of capital is being deployed to speculate on Nvidia's st