Why do some traders review their trades every day and trade for a long time, yet never improve their performance?

They record every trade, study every loss, and even constantly adjust their strategy parameters.

But months later, the problems remain: losses keep repeating, trading rules are repeatedly changed, historical backtests look better and better, yet real trading shows no clear improvement.

The problem may not be a lack of effort in reviewing trades, but a flawed review process.

I. Remembering profitable trades while overlooking the details of failures

It is easy to remember the mo

What Is Dollar-Cost Averaging (DCA)? A More Rational Way to Invest in Cryptocurrency

In the cryptocurrency market, some people try to find the lowest entry point, others keep chasing rising prices, and still others, worried about missing out, invest large amounts of money in a short period of time.

But market movements are difficult to predict accurately. For those who want to participate in the market over the long term, is there an investment method that avoids having to constantly judge when to buy and is easier to stick to?

Dollar-cost averaging (DCA) is a strategy worth understanding.

Filecoin Onchain Cloud now has a record 156 paying customers, up 35.65% in the past 90 days from 115.
Filecoin Pay, its payment rail, also hit a record 160 active payers.
@Filecoin

Why should a more perfect backtest sometimes raise more red flags?

In cryptocurrency trading, there is one thing that can easily inspire confidence: a beautiful backtest curve.

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

It looks as if the strategy has already found the rules of the market.

But there’s a problem: if a strategy is developed by repeatedly adjusting historical data, it may have learned not the rules of the market, but accidental patterns in the historical data.

This is the core risk of strategy overfitt

Kaspa has processed more than 2.44B transactions in its first five years, more than 1.33M a day.
Its monthly hashrate has now risen three months running, to 357.28 PH/s in October.
@kaspaunchained

#CryptoMarket

The sell-off in the crypto market, triggered by US inflation data, continues. Messages from Federal Reserve (Fed) officials regarding interest rate hikes and capital outflows have further intensified the pressure.

When a trading strategy starts to fail, should you adjust its parameters or stop trading?

The real danger isn’t that a strategy starts losing money, but that you don’t know why it’s losing and keep changing the parameters in an attempt to fix the returns curve.

A strategy may once have worked, but the market won’t operate the same way forever.

A trend may turn into a range, liquidity may decline, trading costs may rise, and entry signals that once worked may gradually lose their edge.

So how should you tell?

Step one: First determine whether it’s a normal drawdown or a change in the strat

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#USOctoberCPIBeatsExpectations

🇺🇸 U.S. October CPI Comes in Hotter Than Expected — Markets Reprice the Fed Outlook

The latest U.S. inflation report has delivered another important signal for global financial markets, with October consumer prices rising faster than economists expected.

According to the U.S. Bureau of Labor Statistics, headline CPI increased 0.4% month-over-month in October, following a 0.6% rise in September. Core CPI, which excludes food and energy, increased 0.3% during the month. Both readings were stronger than the market had anticipated.

🔥 Inflation Remains Sticky

$ZEC ZEC is plunging! From four digits to three?
It got slammed from 1044 to 965 in one candle, down 5.39% on the day. Now at 987, and everyone in the group yelling “to zero” has shown up.
But let me tell you: this isn’t a crash—it’s the big players shaking people out!
The daily chart broke below EMA120, and MACD has a death cross. The trend has indeed turned bearish.
4H low: 965. TD flashed "9"; a short-term bounce is due.
The Bollinger lower band at 993 was breached; it’s oversold.

What to do?
Long: Lightly enter at 968-972, stop-loss at 958, targets 1000 and 1030.
Short: Don’t chase! Wait

🔥【WCTC S9 Second Half Kicks Off】The leaderboard resets, reshuffling the race for the title!

📌 Tonight at 20:00 (UTC+8), join Gate Live to talk about how your team can climb the rankings:
• Can the top teams from the first half stay in the lead? How can new teams seize a chance to make a comeback?
• Which leaderboard best plays to your strengths: platform-wide trading volume, CFD trading volume, or earnings?
• With recent market volatility, how can you keep your trading pace in the second half?

🎁 Two rounds of interactive prize draws
100 USDT position trial vouchers ×3｜Gate mice ×3

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Long-form Chinese Article | Why Does an Effective Trading Strategy Suddenly Stop Working?

Many traders run into the same problem:

A strategy has delivered consistent profits, and its backtest curve looks great, but a few months later, with the same parameters and signals, it starts losing frequently in live trading.

Is the problem really with the strategy itself?

Not necessarily. A strategy’s effectiveness often depends on the market environment it operates in, not on how much profit it has generated in the past.

There are at least four market dimensions worth paying attention to:

1. Cha

A truly seasoned trader is not someone who gets it right every time, but someone who has a set of rules to control losses even when they get it wrong.

After entering the cryptocurrency market, many people keep looking for more accurate indicators, better entry signals, and higher win rates.

But one question is often overlooked:

If your judgments are wrong several times in a row, can your account withstand it?

A complete trading risk management system should include more than just stop-losses. It should cover the entire process, from trade planning to execution and review.

Step 1: Define y

How Should You Manage Position Sizes? How Can You Use Scientific Position Sizing to Control Risk and Earn Steady Profits?

In cryptocurrency trading, many people study BTC’s price movements every day but rarely give serious thought to one question: even if you make the right call, how much capital should you put in?

In fact, many traders don’t lose because they misjudge the direction—they lose because of poor position management.

Suppose your trading account has 1000 USDT. If you put all your funds into every trade, a sudden market move could cause severe losses. Even if the market later mov

OpenAI gives veterans one year of free ChatGPT Plus; more than 20,000 have claimed it
OpenAI said in a post on November 11, 2026, that more than 20,000 veterans and active-duty service members transitioning out of the military have claimed a year of free ChatGPT Plus over the past year. The program was driven by veterans within the company, with identity verification assisted by . One easily overlooked point: the free memberships have already been distributed, but most recipients have not attended training. Those who have put it to use have focused on practical steps like job searches, résumé

Aoying’s add to the position was rock-solid—riding the trend and locking in gains, with an unrealized return of 10.59%. Currently in profit.

Wow mihao looks so organic.
10-12% big wallet.
0.5-0.8% multiple scattered wallets.
Definitely organic.

Why Can a Strategy Perform Very Well in Backtests but Lose Money Continuously in Live Trading?

A trading strategy may perform excellently on historical data, with a high win rate, a beautiful equity curve, and a small maximum drawdown.

But once deployed in the real market, the results can be completely different: execution prices are unfavorable, trading costs keep rising, returns gradually shrink, and losses may even become persistent.

So where exactly does the problem lie?

Often, the issue is not that backtesting is worthless, but that we treat backtest results as a guarantee of live per