Ethereum Options Data Show Pro Traders Ready to Go Long into ETH’s Merge

CointelegraphPubblicato 2022-07-28Pubblicato ultima volta 2022-07-28

Introduzione

ETH price hit resistance at the $1,600 level, but this is not stopping options traders from opening fresh leveraged longs.

Ether (ETH) is down 11.5% in seven days even after the recent confirmation of the "Ethereum merge" transition to a proof-of-stake (PoS) consensus network in September. During the Ethereum core developers conference call on July 14, developer Tim Beiko proposed Sept. 19 as the tentative target date.

The transition out of energy-intensive mining has been delayed for years, and the journey toward scalability using sharding technology — parallel processing capability — is yet to be scheduled. Still, some analysts expect the network’s monetary policy to boost the value of Ether.

Ethereum researcher Vivek Raman highlighted the effect of the "supply shock" and according to the analyst, the "merge" will "reduce ETH's total supply by 90%," even though no benefit in transaction fees is to be seen in the current transition stage.

Regulatory uncertainty could be partially responsible for Ether's recent sharp correction. A class-action has been proposed against Yuga Labs for "inappropriately inducing" the community to buy nonfungible tokens (NFTs) and the ApeCoin (APE) token. Furthermore, the law firm claims that Yuga Labs used celebrity promoters and endorsements to "inflate the price" of the BAYC NFTs and the APE tokens.

Moreover, on July 26, Infrawatch PH, a think tank in the Philippines, filed a complaint to the local regulator to crack down on Binance's activities and alleged unregistered operations. The petition claims that the exchange has no office in Manila and only uses "third-party companies" for its technical and customer support services.

Options traders are nowhere near optimistic

Investors should look at Ether's derivatives markets data to understand how whales and arbitrage desks are positioned. The 25% delta skew is a telling sign whenever traders overcharge for upside or downside protection.

If those market participants feared an Ether price crash, the skew indicator would move above 10%. On the other hand, generalized excitement reflects a negative 10% skew.

The skew indicator exited the "fear" zone on July 16 as Ether broke above $1,300, its highest level in 33 days. However, the improvement in traders' sentiment was not enough to instill confidence as the metric has since remained at the "neutral" threshold. ETH option traders are currently assessing similar upside and downside price movement risks.

Long-to-short data show a modest improvement in sentiment

The top traders' long-to-short net ratio excludes externalities that might have solely impacted the options markets. This metric gathers data from exchange clients' positions on the spot, perpetual and quarterly futures contracts, thus better informing on how professional traders are positioned.

There are occasional methodological discrepancies between different exchanges, so readers should monitor changes instead of absolute figures.

Even though Ether has failed to break the $1,600 resistance, professional traders did not reduce their leverage long positions between July 19 and 26, according to the long-to-short indicator.

Binance traders long-to-short ratio failed to hold the 1.13 mark but finished the period at the same level it started, near 1.05. Huobi displayed a modest decrease in its long-to-short ratio, as the indicator moved from 1.02 to the current 0.98 in seven days.

However, at the OKX exchange, the metric drastically increased within the period, from 0.88 on July 19 to the present 1.37. Thus, on average, traders increased their bullish positions in seven days.

There hasn't been a significant change in whales and market makers' leverage positions despite Ether's 11.5% correction since July 19. Furthermore, options traders are pricing similar risks for Ether's upside and downside moves, while leverage futures players slightly increased their bullish bets. The overall derivatives metrics reading is positive even though ETH failed to break the $1,600 resistance.

The views and opinions expressed here are solely those of the author and do not necessarily reflect the views of Cointelegraph. Every investment and trading move involves risk. You should conduct your own research when making a decision.

Letture associate

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

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Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

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