A trading strategy has been profitable for 20 consecutive trades. Does that prove it works?

Not necessarily.

If we don't know the number of trades, the distribution of losses, the risks taken, or whether the strategy has been repeatedly tuned, those 20 profitable trades may not tell us much.

What really needs to be verified is not how much the strategy has made before, but whether it has an edge that can be replicated, explained, and withstand scrutiny.

I. Look at sample size, not just the win rate

Suppose two strategies both have a 70% win rate.

Strategy A has completed only 20 trades,

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🏦 Banco Exterior Could Increase Lending Sixfold: What It Means for P2P
Banco Exterior Executive Chairman Carlos Chow made a statement that would sound obvious in another country but almost provocative in Venezuela: banks can lend much more than they do now.
By his calculations, the country’s loan portfolio is barely around 3.5% of GDP, compared with 40% to 50% in average economies. Against that backdrop, the bank he leads says it has sufficient capital to expand its portfolio by as much as six times and reach around US$5 billion in what he describes as a short period.
For PitbullChain, the st

$BMT Here’s a short trade idea, guys. Feel free to use it as a reference.
A rebound is an opportunity for bears, so I’m choosing to enter a short position decisively this time. I’m placing my limit order near 0.02491, with a stop-loss at 0.02688. If the price breaks above it, I’ll admit I’m wrong and exit.
I’m setting three downside targets: the first at 0.02400, the second at 0.02300, and the final target at 0.02237. Take profits in stages and lock in gains.
Markets can change in an instant. Futures trading carries risks, so follow trades with caution, and remember to use a stop-loss. (The a

Traders, take note. 🚨These coins are going to plunge starting now. 📉🚨Open short positions and make a big profit afterward$AIO - 0.025$JCT - 0.0030$AIOT - 0.070

When a trading strategy enters drawdown, should you stay the course or stop in time?

Many traders face a difficult question:

A strategy performs well in historical backtests. But after going live, it suffers a string of losses.

At this point, two mistakes are easy to make:

One is to conclude the strategy has failed after just a few losses and constantly switch methods.

The other is to believe the strategy will eventually recover, no matter how much the losses mount.

In fact, to determine whether a strategy has failed, you should look not only at whether it has made or lost money recently

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US AI Stocks Hit Hard: What Is Behind the Technology Market Sell-Off?
The U.S. stock market is facing significant pressure as artificial intelligence (AI)-related stocks experience a sharp decline. Companies connected to AI chips, semiconductor manufacturing, cloud computing, and data-center infrastructure have come under selling pressure, raising important questions about the sustainability of the AI investment boom.
Artificial intelligence remains one of the most transformative technologies in the global economy. However, recent market movements demonstrate t

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Can 20 consecutive profitable trades prove that a trading strategy works?

Not necessarily.

Without knowing the number of trades, the distribution of losses, the risks taken, and whether the strategy was repeatedly tuned, those 20 wins may not tell us much.

What really needs to be verified is not how much money the strategy has made, but whether it has an edge that can be repeated, explained, and withstand scrutiny.

I. Look at the sample size, not just the win rate

Suppose two strategies both have a 70% win rate.

Strategy A has completed only 20 trades, while Strategy B has completed 1000

$BTC Is it really true that its vertical height is equal to its horizontal length? ‌

The Modern Person’s Wealth-Disappearing Act: There’s a Financial Trap for Everyone

As long as you have a little spare cash and the idea of “investing” crosses your mind, you’ve already entered this battlefield of “genius traders.”
As one blogger summed up the perfect cycle: Those who didn’t buy silver bought gold; those who didn’t buy gold bought stocks; those who didn’t buy stocks bought funds; those who didn’t buy funds bought futures. And even those who thought they were the smartest and bought cars and houses are quietly bearing the brunt of it all.
Think that’s the end of it? A commenter

#BTCETFOutflowsContinue #每周来晒
The Institutional Exit: Deciphering the $1.28 Billion ETF Liquidation at the $75,948 Junction
The structural foundation of the digital asset market is facing an unprecedented technical test, driven by a violent shift in traditional financial capital flows. Captured precisely at 9:37 AM PKT on Sunday, November 8, 2026, Bitcoin is trading at the $75,948 zone, demonstrating immense native spot resilience in the face of an institutional mass-exodus. Over the weekly cycle ending November 6, U.S. spot Bitcoin ETFs suffered a devastating $1.28 billion in net withdrawal

The most counterintuitive moments in crypto are these three specific moments
No need for grand theories—just look at three scenarios. In each one, your instinct and the right move are opposites.
Moment one: when everyone online is shouting “going to zero”
Your instinct: Run. Cut your losses. Close out your position. Never touch it again.
The right move: Build a position in batches.
Why is it hard?
Because at that point, every message you see seems to prove “it’s going to fall further”:
People in group chats are cursing, KOLs are admitting defeat, the media is writing “crypto is dead,” and frie

On the daily timeframe, the moving averages are in a perfect bearish alignment: price is below EMA15 at 2295, EMA30 at 2354, EMA60 at 2382, and EMA120 at 2324. The MACD lines are deeply negative, with an early-stage bullish divergence and golden cross forming. Bollinger Band width is narrowing, with the middle band at 2317 acting as dynamic resistance and the lower band at 2166 as key support. The TD count is at 4, with no completed reversal. Price has retraced approximately 20.3% from the high of 2806.76.
On the four-hour timeframe, EMA15 at 2248 is immediate resistance, while EMA30/60/90/120

Turning 1,200 U into 50k U in 90 days. Everything he did was “the opposite.”
While others chased trends, he stuck to one coin.
While others made ten trades a day, he made one every three days.
While others added to their positions after making money, he withdrew his profits.
After 90 days, his account held 50k U.
It wasn’t that he was smarter than you. He was just more “boring.”
First: He only traded major coins and never switched.
For 90 days, he traded only ETH.
Altcoins up tenfold? Didn’t look.
New coin listings? Didn’t look.
Coins the group chat touted as 100x? He didn’t even add them to h

under the hood report for October is not readyet

$JCT The bulls aren't any better, huh? It only pumped this far and you're already selling? You made this little and you're already out? Where's your big-picture thinking? ‌