When Market Conditions Change, Should You Adjust a Trading Strategy’s Parameters or Stop Using It?

A trading strategy’s strong performance in the past does not mean it will always be suitable. When the market shifts from trending to range-bound, or liquidity or volatility changes significantly, the strategy’s performance may decline. The key is not to rush into changing its parameters, but to first identify the root cause of the problem.

First, determine whether the market has really changed. Observe indicators such as volatility, trading volume, trend strength, and liquidity to confirm whet

bitcoin:native has reclaimed H1 for now, with a bullish engulfing candle.
If the next H1 candle also closes bullish, and H4 closes with a pin bar and bullish.
That would mark a short-term bottom. Since liquidations haven't really cleared, we need at least a rebound.
For the rebound, first watch the 715 -723 bearish OB.

JUST IN: Bitcoin crashes under $68,000 and ETH crashes under $1,900

Congratulations to everyone who joined today—you’re in profit. You can take profit on your short positions. I’ve already taken profit, making 3.2 million. Making money in crypto is simple; information is important. ☺️

🚨 CRYPTO MARKET IS GETTING HIT HARD.

Roughly $135 BILLION wiped from crypto’s market cap in 24 hours.

$1.62 BILLION in positions liquidated including $1.46 BILLION in longs.

$BTC : down 7.46%
$ETH : down 6.71%
$BNB : down 7.21%
$SOL : down 5.46%
$XRP : down 2.97%

#JensenHuangResigns
#USOctoberPPIComingSoon

Wow, amazing—is this the new era’s isolationism plus everyone piling on once someone’s down?
Looks like kicking someone when they’re down happens all over the world, huh?😂

#黄仁勋辞职 Yesterday I saw news of Jensen Huang’s resignation, and $NVDA perpetuals plunged 9.79% that day. I didn’t dare touch my small position😅. Today it bounced back to 164.79 (+2.30%), like a sentiment-driven dip triggered by the news. Even as a casual observer, I can’t make sense of the valuation logic. The earnings report on the 17th will speak for itself. AI stocks are swinging along with it; I’m just watching, not chasing—this isn’t advice.
#黄仁勋辞职 #每周来晒

$XRP New short trade: Sell 1.0170–1.0300. Targets: 1.0050, 0.9975, 0.9810. Stop loss: 1.0415

Why can forced liquidations intensify a market downturn?

In crypto markets, prices sometimes just start to fall, then the decline suddenly accelerates. Large numbers of positions are forcibly liquidated, more sell orders enter the market, and prices drop further, creating a chain of sharp fluctuations.

One market mechanism that may be behind this is known as a “liquidation cascade.”

First, leverage amplifies the impact of price changes on accounts.

When using leverage, traders only need to put up a portion of the funds as margin to establish a larger position. As a result, the same price c

If all employees’ appeals succeed, Jensen Huang returns, and the stock makes a V-shaped reversal, anyone who bought the dip a few days ago will never have to worry about being poor again.
All NVIDIA employees, keep it up!

Is NVDA's 10% plunge a golden buying opportunity or a warning sign? What should smart investors watch now?

Whenever a tech giant faces major bad news, the market splits into two camps.
One says: Run for the hills—if even the founder has left, why hold on to the stock?
The other says: Finally, a discount—buy the dip!
Both sides are passionate, but the stock market isn't a debate contest. The loudest voice doesn't necessarily make the most money.
When it comes to Nvidia, I focus more on three indicators.
First, data center revenue and orders over the next few quarters. If demand doesn't weaken

#JensenHuangResigns 🚨

The man who helped build the engine of the AI revolution is no longer running NVIDIA.

Jensen Huang has resigned as NVIDIA’s President and CEO, effective immediately, bringing an extraordinary 33-year chapter to an end.

This is more than a normal CEO transition.

For years, NVIDIA and Jensen Huang were almost inseparable. His vision transformed a graphics-chip company into a global AI powerhouse whose technology became the foundation for modern AI computing.

Now, NVIDIA has to prove that the machine Huang built can keep moving at full speed without him.

A leadership

What Is Out-of-Sample Testing? Why Can Data That Was Not Used to Optimize a Strategy Better Test Its True Capabilities?

In cryptocurrency trading, a strategy may perform well in historical backtests but quickly fail in new market conditions. The problem may not lie in the trading logic itself; the strategy may also be overfitted to the historical data used for optimization. Out-of-sample testing is an important way to identify this problem.

First, what is out-of-sample testing?

Out-of-sample testing means using data that was not involved in strategy development or parameter optimization to

Taiwan stocks surged nearly 1,400 points at one point in early trading, but closed up just 583 points—the market’s sharp rebound today gave back more than half its gains in the afternoon. #Gate上线台股交易

The weighted index closed at 43,675.12, up 583.25 points (+1.35%), after opening at 43,719.75, reaching a high of 44,489.48 and a low of 43,534.12. Trading value was about 917.8 billion yuan, down significantly from yesterday’s 1.13 trillion yuan; buyers weren’t as eager to chase prices as they were yesterday.
Stock highlights: TSMC closed at 2,350 yuan (+10 yuan, +0.43%), after reaching an intr

《BTC Falls Below the DCA Cost Basis:
This Isn’t a Crash—it’s “Long-Term Holders” Bleeding Together》
The chart shows BTC has fallen to $69,200,
while the Ahr999 indicator has dropped to 0.3569, nearing its historical “buy-the-dip zone.”
More importantly, the price has fallen below the 200-day DCA cost basis,
meaning people who dollar-cost averaged over the past 200 days are collectively underwater.
Does this look like a crash,
or like an inevitable step in coins changing hands from “true believers” to “patient capital”?
Army’s outlook:
When DCA investors start selling at a loss, that’s when lon

In the AI era, the people bosses most need to hire aren't employees, but people who know how to ask questions, make judgments, and bring resources together!

Recruiting at companies may undergo an interesting change in the future.
In the past, bosses asked: Can you use Excel? Can you write reports? Can you analyze data?
In the future, they may ask: Can you get AI to help you do these things?
This isn't to say that professional skills don't matter, but it may become increasingly difficult to build a competitive advantage through repetitive skills alone.
The “Boss + AI” model proposed by Dr. Han