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HTX Holo Analysis

Tailored for ETH, these trading bots provide optimized spot and futures trading plans by precisely analyzing the asset’s market trends, liquidity, and volatility patterns. The bots master the market’s pulse, map out entry points and TP/SL levels, and enforce strict position management.

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ETH Articles

Opinion: EIP-8361 is a Meaningless and Counterproductive 'Helping Hand'—Ethereum Should Not Cut Off Its Own Arms

Author: 0xTodd Discussion of the EIP-8361 proposal submitted by Ethereum France (organizer of ETHCC, considered a core Ethereum organization). In essence, this proposal aims to drastically reduce the APR for ETH staking. If the staking rate exceeds 50%, it would slash the yield to 0%. The author evaluates this as a meaningless and counterproductive proposal. The principle is that a functioning system should not be altered lightly, and Ethereum currently operates well. Based on the author's extensive experience with Ethereum staking, the current staking yield is only about 2.4%, less competitive than half the yield of U.S. Treasury bonds. For individual散户 stakers, solo staking收益 barely covers costs, resulting in minimal profit or even a slight loss, sustained mainly by dedicated supporters. Implementing EIP-8361 would push solo stakers into an untenable position, while large institutional stakers with fixed server costs would be less affected. Solo stakers are crucial for maintaining the decentralization of the Ethereum ledger. Regarding concerns about validator churn rates, the issue has already improved post the large-node era (2048 ETH), and adjusting the churn rate parameter is a low-risk, simple change. In contrast, slashing staking yields requires a hard fork,涉及 the core interests of ETH and could potentially lead to a new token split. For Ethereum in its current volatile state, this carries excessively high risk. The proposal is deemed毫无意义.

Opinion: EIP-8361 is a Meaningless and Counterproductive 'Helping Hand'—Ethereum Should Not Cut Off Its Own Arms - marsbit

CryptoQuant Points Out Accumulation of Bitcoin, Ethereum, and XRP by Whales

Analysts at CryptoQuant have noted that large holders, or "whales," of Bitcoin, Ethereum, and XRP are accumulating these assets amid price pressure. Julio Moreno, head of research, stated that major holder groups are increasing their reserves while prices trade near or below their realized price. This behavior reduces selling pressure and resembles a final bear market phase. Bitcoin whale balances (excluding exchanges and mining pools) have risen to approximately 3.06 million BTC from a low of around 2.87 million in December 2025. The 30-day increase in whale balances has remained positive for most of 2026, with accumulation accelerating in June when Bitcoin's price approached $60,000. For Ethereum, the trend is mixed. Wallets holding 10,000 to 100,000 ETH have accumulated to a record 19.6 million ETH, while those with 1,000 to 10,000 ETH have reduced holdings from 15.6 million to 12.9 million ETH this year. Wallets with over 100,000 ETH increased their balance from 2.6 million to 4.6 million ETH. Moreno described this as capital concentration during a bear market. XRP whale activity is less direct, with large spot orders present in the $1-$1.2 range, but cumulative volume delta appears neutral, suggesting accumulation through absorbing supply rather than aggressive buying. Key current prices versus realized prices are: Bitcoin at ~$64,640 (realized $52,900), Ethereum at $1,900 (realized $2,450), and XRP at $1.1 (realized $0.75). Moreno noted the risk-reward ratio has declined, and while the model allows for another downside wave, accumulation by strong holders is a positive factor for when demand recovers.

CryptoQuant Points Out Accumulation of Bitcoin, Ethereum, and XRP by Whales - cryptonews.ru

Ethereum Team Explains How AI Is Changing the Approach to Smart Contract Security

The Ethereum team published a guest post series by a leading Vyper developer under the pseudonym "big_tech_sux," focusing on the role of formal verification in the era of rapidly advancing AI. The author argues that progress in Large Language Models (LLMs) is making the mathematical proof of program correctness more accessible. For smart contracts managing billions of dollars, formal verification is gradually becoming a necessity. Formal verification is a mathematical method that proves a program works correctly for all possible execution scenarios, not just those covered by tests. It can find extremely rare bugs that are practically impossible to detect through conventional testing. While previously requiring large teams of experts, modern LLMs significantly simplify this process as they approach Artificial General Intelligence (AGI). However, the author notes that formal verification remains complex and resource-intensive, even with AI assistance. The development of AI simultaneously increases the effectiveness of both defenders and attackers. Formal verification can shift the advantage toward defenders, as they can use it to prove a system's resilience to *all* possible inputs, whereas an attacker only needs to find one exploitable sequence. Therefore, for critical software like high-value smart contracts, formal verification is becoming "not an option, but a necessary prerequisite." This continues a discussion previously initiated by Ethereum co-founder Vitalik Buterin on using AI for formal code verification.

Ethereum Team Explains How AI Is Changing the Approach to Smart Contract Security - cryptonews.ru

Coldcard hackers transfer 64 BTC and 200 ETH to cryptocurrency mixers

Blockchain security firm CertiK reports that approximately 64 Bitcoin ($4.17 million) and 200 Ether ($380,000) linked to the Coldcard exploit were sent to cryptocurrency mixers Wasabi Wallet and Tornado Cash, respectively, this week. These protocols obscure the on-chain trail of stolen funds. The Coldcard attack, now 2026's third-largest crypto hack, drained at least $100 million in Bitcoin from 7,300 wallets, with total losses potentially reaching $130 million. Analysis from TRM Labs and Galaxy Digital suggests multiple attackers, including copycats, exploited a 2021 firmware bug that weakened wallet seed randomness. While some stolen assets have been moved to mixers, most victim funds reportedly remain in attacker-controlled addresses.

Coldcard hackers transfer 64 BTC and 200 ETH to cryptocurrency mixers - cointelegraph

KITE Halts Transfers on Ethereum Mainnet in Response to Exploit

On August 6, the Kite Foundation announced it detected and thwarted an attack on its $KITE token on the Ethereum mainnet, confirming no tokens were stolen. The incident adds $KITE to a list of DeFi protocols, including Boltz, AQUA, and ZEUS, targeted recently. While the security monitoring system flagged and stopped the unusual transfer activity, the event has drawn attention to the project's declining position. After entering the top 100 cryptocurrencies in early 2026 with a market cap exceeding $363 million, $KITE has since fallen over 67% from its March peak and now ranks 123rd. This attack occurs amidst a surge in AI-powered exploits, as noted in recent incidents affecting other platforms. Commentators warn that AI-assisted attackers are becoming more sophisticated, posing significant challenges for security teams. Kite, which bills itself as an AI-first blockchain payment infrastructure, has emphasized its security audits and bug bounty program. The foundation's response aims to restore trust as the broader DeFi sector grapples with increasing security threats, with total crypto theft reportedly around $16.9 billion.

KITE Halts Transfers on Ethereum Mainnet in Response to Exploit - cryptonews.ru

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FAQs

QWhy is Ethereum a good asset for grid trading?

AEthereum is one of the most popular assets for grid trading for three reasons. First, it has consistently high volatility — even during relative calm Ethereum regularly oscillates 3–8% within weekly ranges, providing frequent grid triggers. Second, Ethereum has the deepest liquidity among all cryptocurrencies, ensuring buy and sell orders fill quickly without slippage. Third, ETH's price history shows recurring oscillation patterns around well-defined support and resistance zones, making it easier to set a meaningful grid range. On HTX, ETH/USDT is consistently among the most-copied and highest-volume grid strategies on the platform.

QWhat price range and grid count works best for ETH/USDT grid trading?

AFor ETH/USDT grid trading, a practical starting framework uses the 30 to 60-day recent high and low as your price boundaries. This covers a realistic oscillation band without being so wide that each individual grid level rarely triggers. For grid count, 20–50 levels works well for most capital sizes; each grid step should represent at least 0.5–1% of the price to cover trading fees and generate meaningful net profit per trade. HTX's AI parameter tool analyses current ETH volatility and automatically suggests an optimised range and grid count based on your investment amount — recommended for first-time ETH grid deployment.

QHow does Ethereum's halving cycle affect grid trading strategies?

AEthereum's approximately four-year halving cycle creates distinct market phases that affect optimal grid configuration. In the 12–18 months following a halving, Ethereum historically enters a bull phase with strong upward trends — standard neutral grids may sell Ethereum too early and miss the full upside. A Long Grid biased toward accumulating on dips is more appropriate during these phases. During the accumulation phase before a halving or in bear conditions, neutral or slightly short-biased grids perform better. The 2024 halving occurred in April 2024, placing us in a mid-to-late bull phase as of mid-2026 — grid configurations should be biased accordingly toward long-oriented parameters with wider upside range.

QWhat is the difference between ETH spot grid and ETH futures grid trading?

AETH spot grid and ETH futures grid share the same buy-low-sell-high logic but differ in four key dimensions. Asset ownership: spot grid buys give you actual ETH; futures grid holds perpetual contract positions. Liquidation risk: spot has none — even a 50% drop just means holding ETH at a higher cost; futures with leverage can be liquidated if margin falls below the maintenance level. Funding rates: futures incur or earn funding rate payments every eight hours based on premium or discount to spot. Leverage: futures can amplify returns 2–10× but losses proportionally. For ETH grid trading beginners, spot is recommended as the lower-risk starting point; futures suits traders comfortable with leverage and margin management.

QWhat technical indicators help identify good entry timing for a ETH grid?

ASeveral technical indicators signal favourable conditions for deploying a ETH grid. Bollinger Bands: when ETH is trading inside a tightening Bollinger Band squeeze, compressed volatility often precedes a range-bound phase ideal for grid entry. ATR (Average True Range): low ATR values suggest price moves are small and contained, suitable for grids; high ATR with directional momentum suggests waiting. RSI between 40 and 60 indicates ETH is in a neutral zone without strong directional bias — the ideal deployment window. High-volume price zones from Volume Profile analysis provide natural grid boundaries where the market is likely to oscillate. HTX's AI market summary integrates these signals to provide daily grid suitability assessments for ETH.

QCan I run a ETH grid on pairs other than ETH/USDT?

AYes. On HTX you can run grid strategies on multiple ETH trading pairs. ETH/USDC behaves similarly to ETH/USDT but uses Circle's USDC as the quote currency. ETH perpetual futures are available in both USDT-margined and ETH-margined variants. In coin-margined (ETH-margined) contracts, profits and losses are denominated in ETH rather than USDT — this benefits you in bull markets as your ETH balance grows, but amplifies losses in bear markets since the collateral itself is declining in value. For most grid traders, ETH/USDT remains the most straightforward and liquid choice.

QWhat realistic annual returns can I expect from a ETH grid strategy?

ARealistic annual returns from ETH grid trading depend heavily on market conditions during the period. In high-volatility, range-bound markets, well-configured spot grids have historically demonstrated 25–70% after-fee annual returns on major exchanges. In low-volatility or strongly trending markets, returns may fall to 5–20% or turn negative if price moves strongly outside the grid. Futures grids with 3–5× leverage can amplify these returns proportionally but with higher risk. These ranges reflect historical outcomes under specific conditions and are not guaranteed. Use HTX's backtest tool to see what a specific parameter set would have earned over any chosen historical period before deploying real capital.

QCan ETH grid trading work during a bear market?

AGrid trading can still work during a ETH bear market but requires a different strategic approach. The key shift is strategy direction: instead of a neutral grid centred on current price, a Long Grid configured toward the lower end of a falling price range is more appropriate. This approach accumulates ETH at progressively lower prices — similar to DCA — while sell orders placed at higher grid levels recapture some profit on any rebounds. The critical risk is that the accumulation continues if the decline goes deeper than your grid's lower boundary, and with no stop-loss, exposure grows. Best practices for bear market ETH grids: use only spot (no leverage), set wider grid ranges with fewer levels, maintain an explicit stop-loss, and keep 20–30% of intended capital as reserve rather than deploying it all upfront.

QCan on-chain Ethereum metrics help me set better grid parameters?

AYes. Several on-chain metrics provide useful context for ETH grid parameter setting. MVRV Ratio (Market Value to Realised Value): values above 3.5 historically indicate overvaluation — the grid's upper boundary should be set more conservatively; values below 1 suggest undervaluation — wider downside room is appropriate. NVT Ratio (Network Value to Transactions): acts like a P/E ratio for ETH; high NVT with declining on-chain activity signals overvaluation risk relevant to your upper grid limit. Puell Multiple: measures daily issuance value relative to the 365-day average; high values indicate elevated miner selling pressure, relevant to your lower grid boundary. Free data for these metrics is available on Glassnode's basic tier, CryptoQuant, and LookIntoEthereum.com. While no metric precisely predicts price, they provide a probabilistic context for setting boundaries aligned with broader market valuation.

QHow do I choose a good ETH grid strategy to copy on HTX?

AWhen browsing ETH grid strategies on HTX's leaderboard to copy, evaluate five key metrics. Runtime: prioritise strategies running for at least 7–14 days to ensure the track record reflects real market conditions rather than an initial lucky run. Drawdown: the 7-day max drawdown should be below 15% for conservative investors and below 25% for moderate risk tolerance. ROI consistency: look for strategies with steady realised PnL growth rather than a single large spike — consistent daily growth indicates a working grid while a spike may reflect one unusual price move. Grid parameters: check that the current ETH price still sits within the strategy's active range. If current price is at or near the range boundary, the strategy may be about to stop trading. Minimum investment: ensure the copy minimum matches your available capital.