Still seeing two Crypto halo moments on the Robinhood chain.
1. The crushing advantage of directing fees back to token prices
While Pons, AI, and all kinds of cats are flying around, the platform token PONS earns hundreds of thousands of dollars a day, but uses 80% to buy back and burn its own tokens. This fee-to-token-price mechanism is precisely what enabled PONS to go from fierce competition among hundreds of projects on the early Robinhood chain launchpad to now dominating with a 70%+ market share.
Either don’t issue a token and focus on refining your product, or if you do issue a Token, t

😂After working deeply in RWA for years, I’ve truly been hit hard this time. A friend started a group a while ago to share an opportunity in RWAFi, but I hadn’t bought this kind of coin in ages and didn’t really pay much attention to the group...
Then today he suddenly told me he had achieved financial freedom and disbanded the group after making 200x😂
I suddenly started questioning my life😂What’s the point of doing all these things I’m doing?😂

#U.S.StrikesIranBTCDips
U.S. strikes Iran — BTC dips below $77K
The market just received another major geopolitical shock.
U.S. forces struck Iranian military launchers on Larak Island, and Iran responded with missile attacks against U.S. positions in Jordan. The escalation immediately pushed global markets into risk-off mode, with Brent crude moving higher and investors becoming more defensive.
Bitcoin also reacted quickly.
BTC dropped below the $77,000 area after recently trading as high as $81,455 on August 28. The move shows how sensitive Bitcoin remains to geopolitical risk when uncertai

$MARSCOIN is showing persistent bullish pressure, with dips being absorbed almost immediately. Buyers are clearly stepping in with confidence, creating an increasingly powerful structure.
Social-token momentum could add another catalyst, with $DEGEN worth watching closely if speculative interest accelerates.

Argentina needs a World Cup, but what ordinary Argentinians actually need more is cryptocurrency.
a16z crypto’s latest report shows that 1 in 5 Argentinians currently uses cryptocurrency.
In this severely inflation-stricken country, buying crypto is essentially synonymous with “buying dollars.”
A few data points:
- 94% of Argentina’s crypto transactions are in stablecoins, rather than driven by speculation or people profiting at one another’s expense;
You may want to trade coins to make money, but even more ordinary people simply want to hold assets without losing money.
- In 2026,

JUST IN: Hyperliquid launches Pons (PONS) perpetual with up to 3x leverage; mark price around $0.33 and funding at -0.0823%. Open interest sits near $525k. $PONS could see short-term volatility as funding remains negative.

The Sun Ge matter is really getting bigger and bigger
All kinds of gossip are coming out
Money laundering, and even claims that top officials are going after the crypto industry
After digging into it for a long time, it turns out everyone was just fantasizing
The biggest victim has emerged: Feng Ge was banned for piggybacking on the traffic, making him the biggest victim of the Sun Ge and Jing Tian incident. He cannot even figure out how to play the traffic game; Feng Ge should go learn from Sun Ge @zlf86

This trend is so obvious that I don't even need to think—the account is dancing on its own.

During the repeated intraday swings, I just watched $OP the height of each rebound. Each one was lower than the last, volume failed to follow, and support was insufficient—clearly, no one was taking the price higher. I entered the short directly at 0.11747, set the stop-loss, and left the rest to time. I was even too lazy to write a review; the script had already been written.

No need to say much about the results: watching it fall from 0.11747 to 0.08646, I pocketed +1271.69%. That was a satisfying

I originally wanted to cut my losses and offer them to the heavens, but the sacrifice never happened—the meat cooked itself. 🍗 This market is even more reliable than the meals I make myself. When I checked the chart after lunch, $BTC pulled back to 75988.0 and held firm, with buying pressure getting stronger each wave. I figured this wasn’t a coincidence—someone was quietly catching the dip below.

I decisively went long, and it surged to 77800.1 shortly after I entered, +414.71%. That was a satisfying bite of meat, brothers. 📈 I was still a little nervous when I got on board, but now it l

JUST IN: Tencent’s Hy4 preview hit immediate scaling needs after launch, as demand on WorkBuddy spiked and queueing appeared. If sustained, this signals strong early interest in the Hy4 ecosystem and its open-source rollout. $TCEHY

#CandyDrop1BTCForOldUsers
1 BTC CandyDrop Is Live A Comeback Reward Built Specifically for Existing Gate Users
Gate has launched a special CandyDrop 1 BTC Reunion Event for existing users, giving eligible early users a chance to participate in a shared 1 BTC reward pool through a simple futures-trading task. The campaign runs from August 25 to September 8, 2026, making it a limited-time opportunity rather than an always-available reward.
The most interesting part is the low participation threshold.
Eligible users only need to complete at least 1 USDT in futures trading volume, calculated from

JUST IN: Tectonic on Cronos suspends services after an attack with losses over $75M; attacker bridged $6.29M to Ethereum and swapped for 2,592 ETH, with ~$68.7M still pending on Cronos. $CTK $CRO N

I wasn’t watching the chart or even thinking about it—it was moving on its own, like it was working overtime for me. While everyone was still waiting on the sidelines as the market formed a base, I saw $SONIC repeatedly test around 0.01888 without breaking below, with funds quietly flowing in, and knew this move had potential. I said it plainly at the time: when the bottom moves sideways, a pullback that holds is an entry point for longs.

Now the price has reached 0.02177, locking in +373.03%—a very satisfying bite. No hype, no smearing: the buildup was sluggish, but the breakout is the real

I was just about to say a few harsh words, but then I looked at the account and thought, never mind. Let it drop however it wants—I’ll keep quiet. During the intraday plunge, $LAB pumped to 0.08529 on no volume, and I warned that there was insufficient buying support above.

Now at 0.07453, the short position is up +248.17%. Close 80% first, leave the remaining +248.20% with the stop-loss moved to the entry price, and let the profits run if it drops further.

The market is waited out, and profits are held onto. Managing risk upfront is called rationality; cutting losses only after losing is

#Gate7DayNetInflowsTop3 Gate’s 7 Day Net Inflows Top 3 is an important signal for anyone watching where capital is moving across the crypto market. Net inflows are not simply a number on a dashboard, they can provide valuable insight into user activity, market confidence, and the growing demand for a trading platform.
A strong seven day inflow trend suggests that capital continues to enter the ecosystem rather than simply moving between existing positions. This can reflect increasing participation from traders, stronger market activity, and greater confidence in the products and opportunities

I’m watching Bitcoin closely this week because $BTC will likely decide where the rest of the market goes. If it can hold its current support and break the next resistance, I think we could see some good moves in $ETH and other altcoins. I’m also watching volume because a move without strong volume can easily turn into a fake breakout. If BTC drops below support, I’d be more careful and wait for the market to settle. Personally, I’m not interested in chasing random pumps. I’d rather wait for a clean setup and confirmation before entering. There could be some interesting opportunities this week,

$SKR lured in a wave of longs, then plunged.

No matter how beautiful your backtest results look, don't touch real money just yet.
The open-source trading engine NautilusTrader offers a practical approach: putting research, deterministic simulation, and live execution into the same event-driven architecture, with strategy logic orchestrated in Python.
This can reduce engineering differences between the backtesting and production environments, but it won't prove that your strategy works.
What you should really do first is account for fees, slippage, and latency, retest with out-of-sample data, run it on a paper-trading account for a while,