If everyone opens short positions at market, the bearish trend will take shape in about an hour or two

I’ve always wanted to build a product that automatically lights talking-head videos. Seedance is the fastest and simplest option, but it costs 78 yuan for 30 seconds—that’s just too expensive for me. Still, you don’t need to keep rerolling for this kind of video, so a 3-minute video comes in at under 500 yuan.

For a video that delivers value, the cost isn’t actually that high.

A new round of the Premier League: Everton vs Coventry
Everton host Coventry, and this one should be worth watching. The Toffees are currently 7th with 13 points from 9 games, and have just beaten Newcastle twice in a row (1-0 away in the league + 3-1 in the cup), so they're in great form.
Their defense is solid, with plenty of clean sheets, and Barry has been scoring a lot lately. Coventry are 16th with 9 points. They had a disastrous start but have recently bounced back, winning 3-1 at home against Sunderland. But they're really poor away from home: they've scored just 2 goals in 4 away game

Guys, market rallies are never smooth sailing. Spikes followed by pullbacks and retests after breakouts are common market rhythms.
Especially now, new developments in the news are causing fresh turbulence.

Some Democratic lawmakers have proposed restrictions on superintelligent AI agents, weighing on sentiment in the AI sector. Tech stocks such as SanDisk came under pressure, and weakness in the Nasdaq also dragged major risk assets lower.
Looking back at the past two days, after the US election results came in on November 4, $BTC briefly climbed back above 81000, and ETH also rebounded to a

How much business information can others glean from a stablecoin payment once it’s on-chain?
Suppose a company uses stablecoins to pay its suppliers every week. Looking at a single transfer, you might only know how much was paid. But if the payment address is linked to the company’s identity, looking at several months of transactions together could let an observer infer who it works with, whether its purchasing volume has changed, and even which suppliers are being replaced.
This information might normally be scattered across contracts, invoices, and internal ledgers. On a public blockchain, t

What is break-even win rate? How high must a trading strategy’s win rate be to cover trading costs?

In cryptocurrency trading, many people know their win rate but do not know how high it needs to be to actually make a profit. If winning trades earn little while losing trades lose a lot, even getting more trades right may still result in a loss. The break-even win rate can help traders understand the minimum performance a strategy needs to achieve.

First, what is the break-even win rate?

The break-even win rate is the minimum win rate required for long-term expected returns to equal zero, ex

Why Can Backtest Results Look Great While Live Trading Turns Out Completely Different? Beware These Four Easily Overlooked Traps

In the cryptocurrency market, you may have seen trading strategies like these:

Historical backtests show a high win rate, an equity curve that keeps rising, and an apparently acceptable maximum drawdown. Strategy developers even show off impressive historical charts, making it seem that simply following the rules will produce good results.

But once you actually enter the market, the results may be completely different.

Actual execution prices differ from backtest

Aghhh fine'ally made it home.
Have a great night everyone see you all tomorrow.
Everything is fine!
🔥🐶🔥

For most of those years, I was a firmly bullish Builder, so I think the best strategy is to be there when prices fall
Look for opportunities amid panic, stay greedy
Just as I'm looking at a 2x leveraged long on Hynix right now, I think the turning point for memory stocks also depends on tonight's data: the U.S. October unemployment rate and nonfarm payrolls will be released tonight at 21:30 (UTC+8).
The U.S. October unemployment rate is expected to be 4.2%, and seasonally adjusted nonfarm payrolls for October are expected to rise by 65k.

Why Aren’t Different Stablecoins Equivalent Even Though They’re All Pegged to $1?

In the Web3 world, stablecoins are often treated as simple tools.

When you need to trade, you use them to exchange for tokens; when you need to hedge, you convert your assets into them; when you need to make cross-border transfers, they may also be your first choice.

But there’s an easily overlooked issue:

Price stability does not mean equal risk; being redeemable for $1 does not mean you can always exit smoothly at $1.

To understand the differences between stablecoins, first look at what they rely on to mai

Damn, trading really is brutal.
Even with a win rate above 80%, after dozens or hundreds of consecutive wins and all the profits you've built up, one moment of getting carried away, one decision to hold a losing position, one emotional trade can wipe it all out.
I just saw the data for this strategy: over 7 days, the blogger's own account appeared profitable, while copy traders collectively lost 270k U.
Behind the illusion of a high win rate are lopsided risk-reward ratios, holding losing positions, and oversized bets—one big loss wipes out countless small wins. How many people have endured co

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What Is Multi-Timeframe Analysis? Why Doesn’t a Bullish Short-Term Trend Mean the Long-Term Trend Is Also Rising?

In cryptocurrency trading, the same asset can show completely different trends across different timeframes. The 15-minute chart may be rising, while the 4-hour chart may still be in a downtrend, and the daily chart may show the market moving sideways. Looking at just one timeframe can easily lead you to mistake a brief rebound for a trend reversal.

First, what is multi-timeframe analysis?

Multi-timeframe analysis involves observing price movements across different timeframes to

People who get sent flying by cars often know that having to get up and delete their browser history before passing out every time is a hassle.

So we could write a script. Since Chrome stores browsing history locally in plain-text SQLite, we can use SQL to find and delete it directly.

Then we can set the script up as a scheduled system task.

But if you’re signed in to a Google account, I don’t know whether this method will sync automatically.

This is the most ridiculous product I’ve seen lately: esports lozenges.
Is this thing basically an IQ test for young people?
Does anyone really believe eating these can improve their gaming skills?
The marketing is even more ridiculous: 36.5% better operational acuity, 35.2% better critical decision-making, 42.6% faster reaction times, 29.8% better overall awareness.....
How are these metrics even quantified? This marketing has no bottom line—they’re just making stuff up.
The crazy part is that people actually buy this! If someone you know takes these, make a note of it so you can sell them he

Gold rebounds sharply and pulls back, then continues to fall; the quantitative system captures the optimal entry point

What Is the Risk-Reward Ratio? Why Can a Trade Have Long-Term Value Even With a Low Win Rate, as Long as Risk Is Properly Managed?

In cryptocurrency trading, many people focus too much on win rate, believing that they need to make frequent correct calls to make money. But what really affects long-term trading results is not just the win rate, but also the amount won or lost on each trade. The risk-reward ratio is an important tool that helps traders assess whether a trade is worth taking.

First, what is the risk-reward ratio?

The risk-reward ratio typically compares a trade’s potential loss

#USStocksFaceHistoricSelloff
Hunting for a Reversal in the SOXL Crash .
$SOXL ‌

The chart tells a dramatic story. SOXL, a 3x leveraged semiconductor ETF, has experienced a catastrophic drop, plummeting -38.19% to trade at $40.93. The price has sliced through the Bollinger Bands and moving averages like a hot knife through butter, driven by headline fears (as noted: "AI buildout fears hit chip stocks").

When an asset falls this violently, panic selling is common. However, for the technical trader, a massive sell-off often sets the stage for a sharp, equally violent bounce. The Gartley Patt