Altcoin sell pressure is hitting extreme levels, with cumulative CEX volume delta collapsing to nearly -$320B.

When a trading strategy experiences a drawdown, should you stick with it 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, it's easy to make one of two mistakes:

One is to assume 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 grow.

In fact, whether a strategy has failed should not be judged solely by whether it has made or lost money recently.

$EDU Down 7.57% in 24 hours, now at 0.0437, just a hair above the low of 0.0430—at this level, it’s either catching a falling knife or the final leg down. I’m your Opportunity Window announcer, here only to cover what’s time-sensitive.
Let’s first map out two scenarios. In the first, 0.0430 is the bottom of this panic selloff. 24h trading volume is only 1.8M, and a decline on shrinking volume means selling pressure may be nearly exhausted. If BTC stabilizes, a small-cap token like EDU could rebound sharply, with the 24h high of 0.0479 as the first target. In the second, 0.0430 fails to hold. T

Launchpad revenue peaked above $5M/day in September.
Two months later, it's back near $1M–$1.5M/day.
The launchpad wars is very competitive
In September, @Pumpfun faced growing competition from StonkFun and @ponsdotfamily.
@LaunchOnSF even reached $2.48M in daily revenue, briefly outperforming Pump.
By late October, Pump had reclaimed 94% of combined revenue against StonkFun, even as overall launchpad activity continued to cool.
Two things stand out to me:
> New launchpads can capture significant volume during speculative periods, but retaining that activity is much harder.
> Pump's recovery

#晒出我的持仓收益 In the livestream that spcxusdt started yesterday

Here are 4 more little-known facts that are “things you think you understand, but actually don’t”
① “Hedging” is the most expensive move for retail traders
Your long position is losing, so you open a short in the opposite direction, thinking you’ve locked in the loss.
What actually happens:
Two sets of trading fees
Two funding payments (which may not cancel each other out, even if one is positive and the other negative)
When you unwind, you pay two more trading fees
You haven’t locked in your loss—you’ve locked in costs.
What you should really do is close the position, not hedge it.
② Unrealiz

Same open model, nine coding-agent harnesses. The harness alone moves the score by 24 points: mini-swe-agent 51.4%, OpenClaw 27.3%.
But the top 5 (mini-swe-agent, Kimi Code, Hermes, Pi, Claude Code) are statistically tied. Past a decent baseline, the harness matters less than you think.
Where it really diverges is cost: Pi solves a task for $0.29, OpenCode for $3.35. That is 11.7x.
28,849 trials, 3 attempts each, every trajectory public. Great work @joelniklaus

so you're telling me loracle was chilling in perps ruining lives there and then decided to side quest and dabble in onchain a bit and casually just forever topped our bags?

I have been watching wallet flow for a while, and whales buying while retail sells is not a meme. It is the oldest pattern in this market, and it is playing out again right now.

Retail sells on emotion. When price drops hard, fear takes over. Small wallets see red, read panic posts, and sell to stop pain. That selling is fast, loud, and visible. It creates wicks down, forced sales, and a lot of noise.

Whales move the other way. Big wallets do not chase candles. They buy in tranches, quiet, patient, and with size. They use limit orders, they buy dips in pieces, and they do not talk about it.

#StakeOnLaunchpoolToShare450KVLX Yield Optimization Protocol: Allocating Capital to the 450,000 VLX Staking Pool

The structural mechanics of wealth preservation during periods of high macroeconomic volatility require a disciplined shift toward non-directional, cash-flow-generating asset classes. As global equity indices navigate intense valuation resets and data-center sector adjustments, maximizing the capital efficiency of idle digital assets becomes a primary operational mandate. Recognizing this need, the official deployment of the Velas (VLX) Launchpool initiative introduces a high-viabi

$JCT The bulls can’t do any better either? They only pumped it this far and then ran? Made this little and they’re already out? Where’s the bigger picture? ‌

#Gate推出行业首个资金安全证明
🔐 Beyond Solvency: Why Storage Architecture Dictates the Future of Exchange Security
The centralized digital asset trading landscape is undergoing a massive structural transformation. For years, the gold standard of platform transparency was limited to Proof of Reserves (PoR)—a snapshot method verifying that an exchange holds sufficient tokens to back user balances on a 1:1 ratio. However, recent market vulnerabilities have proved that simply possessing assets is only one part of the security equation. True safety depends on how those assets are stored, who controls the und

#Gate推出行业首个资金安全证明 Gate Launches Industry-First Proof of Security (PoSEC): Moving Beyond Reserves to Storage Safety

For years, Proof of Reserves (PoR) has served as the baseline answer to one question in crypto exchanges: does the platform hold enough assets to cover user balances? On November 5, 2026, Gate introduced something different. The exchange announced Proof of Security (PoSEC), a framework that shifts the inquiry from "do you have the money" to "where is the money stored, and would it still be there if the worst happened" .

The Distinction That Matters

PoR addresses a balance-sheet

While the world is sleeping, somewhere someone is watching a chart, researching a new project, or discussing the next blockchain innovation. 😂
That's the beauty and madness of a 24/7 crypto market.
Different time zones. One global ecosystem.
Who's still awake?
#Crypto #CryptoCommunity #Blockchain #Web3

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

$ONE Current price: 0.001954, 24H -5.15% (0.001807–0.002476). 1H is weak: RSI 50.72/EMA20 0.001974, support at 0.001807/resistance at 0.00243; 4H is strong: RSI 63.74/EMA20 0.001749, support at 0.001027/resistance at 0.002476. The upside condition is holding above the 0.00243 resistance level; the downside condition is breaking below the 0.001807 support level. Review whether price can hold above 0.00243 and whether it can recover after losing 0.001807; the volume ratio is 0.048x, and the setup is invalid without confirmation of market participation. High market volatility; for observation onl

#Gate股票畅聊季 #WCTCS9 #美股财报季 Next week could be a battle to defend confidence in U.S. stocks.

Tech stocks plunged on Thursday and rebounded a bit on Friday, but the Nasdaq has now fallen for four consecutive weeks.

On top of Friday’s stronger-than-expected nonfarm payrolls, the market now faces two major pressures at once.

On one hand, strong employment data have pushed rate-hike expectations back up; on the other, policy uncertainty following the midterm elections is prompting investors to question the pace of AI data center construction.

At this point, there are a few fairly clear events on