#ShareWeekly #OpenAI #WCTCS9

The cybersecurity industry may be approaching one of its biggest turning points. Artificial intelligence is no longer limited to analyzing suspicious activity, detecting malware, or assisting developers with basic code reviews. It is increasingly capable of performing complex security research that previously required experienced cybersecurity specialists working for weeks or even months.

On November 4, 2026, OpenAI published a remarkable research report revealing that its autonomous AI-powered security pipeline identified 2,308 potential security findings in th

The Cosmos Hub voted on November 3 to move its community pool's 566,067 USDC into Circle's native USDC on Injective.
dYdX, Osmosis, Terra and Neutron are also migrating, as Cosmos makes Injective's USDC its canonical standard.
@injective

Go long, stop loss at 75600,

After the Crash: This Isn’t Deleveraging—It’s AI Trading Changing Its Anchor
Many people called Thursday’s massive selloff (Nasdaq -5.52%, SOX -12%) “short-term deleveraging.” I see it differently: this is the starting point of the AI trade shifting from “telling stories” to “calculating returns,” and the divergence ahead will be more brutal than the decline itself.
Three reasons:
1️⃣ The trigger was policy, not liquidity. After a blue wave in the midterm elections, several states explicitly said they would slow or even pause data center construction. UBS estimates that about 30% of new U.S. d

$ETH Go long around 2230, take profit at 2280-2310, and set a stop loss at 2215. Follow me for precise strategies every day, and join my livestream every night for precise strategies and a direct path to profits. Don’t chase shorts in the current market

🎙️ Go live on Gate Live!

Choose a category based on what you want to discuss 👇
📈 Traditional Finance｜🔥 Crypto Trends｜🎯 Prediction Markets

Choose the right category when you go live to get your content in front of more of the right people!
Whether you focus on stocks and gold, or crypto and prediction markets, you can find the matching category and get more relevant exposure opportunities~

🎬 Choose a category and go live now: https://www.gate.com/live

gBTC
Say it back 🫵🤡🤍

Why can tighter stop-losses sometimes lead to consecutive losses?

In cryptocurrency trading, many people believe that tighter stop-losses mean lower risk. This idea has some merit, but if market volatility and trade structure are ignored, overly tight stop-losses may cause traders to exit too frequently and miss moves that otherwise unfold as expected.

For example, suppose you buy Bitcoin near a certain price, planning to profit from a continuation of the trend. If your stop-loss is too close to your entry price, a normal price pullback may trigger it. The price then rises again, leaving you

📊 BTC Market Update

Traders are still active despite Bitcoin’s recent pullback.

Before the August rally, trading volume had dropped to its lowest level since 2023. However, even after the recent retracement, volume remains above that level.

👉 This suggests sustained market interest and improving participation after months of low activity.
$BTC ‌#USStocksFaceHistoricSelloff #GateLaunchesPoSECProofOfSecurity #USNonfarmPayrolls #GateGuardNowAvailableForFree #ShareWeekly

#US100 Double Top breakdown is done..
Perhaps now retesting before next leg down?

Nonfarm payrolls at 9:30 tonight,
U.S. stocks at 10 p.m. Friday,
Time to make a choice again 🫣

$AIN Down more than half in one day—61%. People in the group are already saying it’s going to zero.
I watched the market for an hour, and bulls and bears are sharply divided. Bullish case: 1) 24-hour trading volume is 250 million, with ample turnover; most panic selling is probably over; 2) The low of 0.0976 didn’t break the previous low, and buyers are supporting the price around 0.10; 3) After such a sharp drop, demand for a rebound is building. Bearish case: 1) It plunged from 0.29 to 0.10, leaving heavy overhead supply; any rebound will face selling pressure; 2) A 61% drop isn’t a shakeout

Asian Hedge Funds and Wealthy Clients Face Huge Losses in AI Selloff

What stands out most is not that Asia-Pacific stocks fell enough to trigger trading halts, but that wealthy clients who had piled on leverage were wiped out by this AI selloff😂

First, just how brutal was this rout? The Nasdaq 100 plunged on Thursday, wiping out a record $2.3 trillion in market value in a single day. Then the MSCI Asia-Pacific Index fell as much as 5.3%, while South Korea’s KOSPI plunged 8.8% intraday, triggering a trading halt.

But those are just the headline numbers; the real pain is in the accounts of h

Today's losses have been recouped

Why Can a Strategy With a High Win Rate Still Lose Money in the End?

In cryptocurrency trading, many people pay special attention to win rates. Winning eight out of ten consecutive trades may seem quite impressive. But if the account still ends up in the red, the problem may not be the win rate, but how much is made or lost on each trade.

Suppose a trader makes 10 trades, 8 of which are profitable, earning 10 USDT each; the other 2 are losing trades, each losing 50 USDT.

The 8 winning trades bring in 80 USDT, while the 2 losing trades result in a loss of 100 USDT. Without taking fees and fu

Brent crude has plunged sharply. Will it keep rising, or will it end up falling amid the war news!!!

$BTC fell 5.95% in the 24 hours to Nov 6, yet order flow was among the least one sided in 90 days. US traders have bid below the global price for 62 straight days. On $ADA , leveraged longs were forced out as open bets shrank 12.9%.

No Sam, you may not have all the RAM.
Sam Altman thinks it's inefficient for people to keep memory sitting idle in their PCs while AI data centers are starving for it.
He's since clarified he wants more RAM for everyone. Fair enough.
But here's the bigger issue, guys.
If AI runs entirely through centralized clouds, a handful of companies get to control access, pricing, and ultimately who gets to participate.
AI should make individuals more powerful, not make everyone dependent on a few trillion-dollar landlords.