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A-shares saw volatility spike today, opening lower before surging strongly. The ChiNext and STAR 50 briefly jumped sharply, then swung back and forth in the afternoon before recovering their gains at the close.
Turnover on the two markets expanded, topping 2.1 trillion yuan, with more than 4,800 stocks rising. Solar and precious metals led gains, while computing power stocks retreated after an initial surge. Film and cinema stocks picked up in the afternoon, while coal and banks underperformed. #a股
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Every short marks a top. I went long on gold at 3910; it broke above 3990 and moved higher exactly as expected. The market remains in the same structure. I went long on Bitcoin from 76K-plus to 80K, then shorted from 87K to 76K. Excluding swing trades, I captured nearly 20,000 points. Then, let’s meet at a new low.#BTC重返8万 $BTC $XAUUSD $CL
BTC-0.65%
XAUUSD+1.53%
CL-1.83%
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[NEW STREAMER]market update
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LIVE1,618
#GateGuardNowAvailableForFree #ShareWeekly
🛡️ Gate Is Raising the Standard of Account Security – Protection, Trust, and User Confidence Come First!
In the cryptocurrency industry, security is not just an additional feature; it is the foundation of trust.
Traders can find thousands of opportunities in the market, explore new assets, earn profits, and build their portfolios, but none of these opportunities matter if their accounts and digital assets are not properly protected.
This is exactly why I appreciate Gate and its continued commitment to improving account security. In my opinion, Gate
Crypto Treasury Stocks: mNAV and Dilution Impact on Value
A bigger Bitcoin or Ether treasury does not automatically translate into more crypto per share or a positive stock return. Strategy’s disclosures reveal why the specific valuation formula used matters.
⚠️ Personal market analysis only. NFA — manage risk and DYOR.
Educational content, not investment advice or a recommendation to buy, sell, deposit, or withdraw any asset. No paid promotion or referral/affiliate links.
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BTC-0.67%
How should position size be calculated? Why is it more reasonable to determine the risk amount first and then decide how much to buy?
In crypto trading, many people habitually assess the market first and then decide how much to buy, but overlook the most important question: if they are wrong, how much loss can they actually afford? Sound position management should start with a risk budget, not potential returns.
First, determine the amount of risk you can afford.
Suppose your account has 1,000 USDT and you plan to limit the risk on a single trade to 1% of your account balance. The planned risk
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See a take that resonates? Add your thoughts. Disagree? Share your reasons.
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🏆 Climb the ranks: Compete for Gate merch worth approximately 150 USDT, a 150 USDT Futures Position Voucher, and more
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💬 No minimum likes required. Thoughtful comments could win rewards.
📌 Today’s check-in: Leave at leas
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CFD Global Markets Airdrop: Share Rewards Worth 800,000 USDx and Earn Up to 31.1 SLVON https://www.gate.com/campaigns/6879?ch=9334&ref=VLARBF1YAG&ref_type=132
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SLVON+0.22%
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To everyone creating, contributing, sharing ideas, and learning in the #crypto #space:
Your work doesn't always need applause to matter.
Keep improving. Keep questioning. Keep building with purpose.
The strongest #communities are shaped by participation, not just spectators. 🚀
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$XCRCL Currently at 75.4, 24H +0.13% (72.79–78.2). 1H is weak: RSI 27.27, with the current price below the 1H EMA20 at 75.64; 4H is strong: RSI 59.48, with the current price above the 4H EMA20 at 74.97. The 1H volume ratio is 0.0012, indicating very low participation. If price holds above the 78.2 resistance level, watch for continuation; if it breaks below the 72.79 support level, the short-term outlook may weaken. In the next review, check whether price can hold above 78.2 and recover after losing 72.79; the volume ratio is 0.0012x, so a break beyond these levels needs confirmation from part
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Bro, how much pressure do you wake up carrying every day?
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BTC, ETH, GT, XRP, DOGE
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What Is Out-of-Sample Testing? Why Can Data Not Used to Optimize a Strategy Better Reveal Its True Capabilities?
In cryptocurrency trading, a strategy may perform well in historical backtests but quickly fail under new market conditions. The problem may not lie in the trading logic itself; the strategy may instead be overfitted to the historical data used for optimization. Out-of-sample testing is an important way to identify this issue.
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 indepe
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Machi Big Brother is making a killing again!
He’s not only going long but also adding to his position, using 25x leverage to build from over 2,000 contracts to nearly 6,700. His latest average entry price is 2366, and his unrealized profit has surged past $460k, but his liquidation price has also been pushed up to 2391.
Big Brother is charging ahead with full confidence, but I’m actually not very bullish on this move in the short term. I recommend positioning for shorts around 2450.
The reasoning is simple:
This rebound after the election results came in looks more like a short squeeze followi
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ETH-1.23%
If digital assets can still be frozen unilaterally, how far are we from true asset sovereignty?
Recently, discussions about USDT freeze events have led more and more people to reconsider a question:
When we put assets on the blockchain, what do we truly own?
A wallet address? A string of private keys? Or genuine control over our own assets?
In fact, self-custody of private keys does not mean all tokens cannot be frozen. Certain centrally issued stablecoins may still be subject to issuer contract permissions; assets custodied by exchanges may also be restricted by platform rules and legal measu
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Imagine qualifying for a privacy projects airdrop by handing over ur entire financial history
id want @primus_labs to make that unnecessary if an airdrop happens
prove the required activity
return whether i qualify
leave everything unrelated out of it
using selective proofs for the distribution itself would make the privacy message feel very real
no idea whether thats their plan but that would get my attention
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AIRDROP+0.00%
🚨 JUST IN: 🇺🇸 US Spot Ethereum ETFs record $53.02 MILLION in net inflows.
BlackRock’s ETHA led the buying with $32.75 million, as institutional money returned to Ethereum ETFs.
A positive shift in institutional demand for $ETH.
#Ethereum #ETH #BlackRock #Crypto
ETH+5.80%
BLK+5.46%
#BREAKING:
Institutional buying is heating up....
BlackRock and other Bitcoin ETFs have purchased $74.57 million worth of BTC and $53.02 million worth of ETH, signaling strong institutional interest in the crypto market.
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BLK+5.46%
BTC-0.67%
ETH-1.26%
What is rolling backtesting? Why is continuously updating the test window more informative than testing just one historical period?
In cryptocurrency trading, a strategy may perform well only during a certain period of historical market data, yet fail to adapt to subsequent market changes. Testing only one fixed period can overlook how the strategy performs under different conditions. Rolling backtesting helps traders evaluate a strategy’s stability more comprehensively by continually updating the test window.
First, what is rolling backtesting?
Rolling backtesting divides historical data into
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Ethereum at 2423; the market-turn window is within the next two weeks
No more afternoon chatter—straight to the three key levels, remember them:
Weekly EMA60 is at 2452; only a breakout would mean the rebound is continuing
Daily EMA15 and the Bollinger Band middle line are at 2350; holding on a retest is the bulls’ bottom line
Daily BOLL upper band is at 2490; failing to break through on a rebound is an opportunity for the bears
Upside plan: try longs at 2350–2360, stop-loss at 2300, target 2490
Downside plan: try shorts at 2480–2500, stop-loss at 2540, target 2350
At 2423, price is in the mid
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ETH-1.26%
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