Home » Altcoin Ethereum price risks a drop below $1K if these key price metrics turn bearish Altcoin Reading 4 min Views 2 Two key Ethereum price metrics have yet to turn bearish, but it won’t take much to trigger an ETH drop below $1,000. Ether (ETH) price is down 37.5% in the last seven days and recent news reported that developers decided to postpone the network’s migration to a proof-of-stake (PoS) consensus. This upgrade is expected to end the dependency on proof-of-work (PoW) mining and the Merge scalability solution that has been pursued for the past six years. Competing smart contracts like BNB, Cardano (ADA) and Solana (SOL) outperformed Ether by 13% to 17% since June 8 even though there was a market-wide correction in the cryptocurrency sector. This suggests that the Ethereum network’s issues also weighed on the ETH price. The “difficulty bomb,” feature was added to the code in 2016 as plans for the new consensus mechanism (formerly Eth2) were being formed. At the peak of the so-called “DeFi summer,” Ethereum’s average transaction costs surpassed $65, which was frustrating for even the most fervent users. This is precisely why the Merge plays such an important part in investors’ eyes and, consequently, Ether price. Options traders remain extremely risk-averse Traders should look at Ether’s derivatives markets data to understand how whales and market makers are positioned. The 25% delta skew is a telling sign whenever professional traders overcharge for upside or downside protection. If traders expected an Ether price crash, the skew indicator would move above 10%. On the other hand, generalized excitement reflects a negative 10% skew. This is precisely why the metric is known as the pro traders’ fear and greed metric. Ether 30-day options 25% delta skew: Source: Laevitas.ch The skew indicator improved on June 16, at least for a brief moment, as it touched 19%. However, as soon as it became evident that climbing above the $1,200 resistance would take longer than expected, the skew metric climbed back to 24%. The higher the index, the less inclined traders are to price downside risk. Long-to-short data show traders are not interested in shorts The top traders’ long-to-short net ratio excludes externalities that might have solely impacted the options markets. By analyzing these positions on the spot, perpetual and quarterly futures contracts, one can better understand whether professional traders are leaning bullish or bearish. There are occasional methodological discrepancies between different exchanges, so viewers should monitor changes instead of absolute figures. Exchanges’ top traders Ether long-to-short ratio. Source: Coinglass Even though Ether has failed to sustain the $1,200 support, professional traders did not change their positions between June 14 and 16, according to the long-to-short indicator. Binance displayed a modest increase in its long-to-short ratio, as the indicator moved from 1.11 to 1.22 in two days. Thus, those traders slightly increased their bullish bets. Huobi data shows a stable pattern as the long-to-short indicator stayed near 1.00 the whole time. Lastly, at OKX exchange, the metric oscillated drastically within the period but finished nearly unchanged at 1.04. Hope for the best, but prepare for the worst Overall, there hasn’t been a significant change in whales’ and market makers’ futures positions despite Ether’s plunge down to $1,012 on June 15. However, options traders fear that a crash below $1,000 remains feasible, but the negative newsflow heavily influences price. If those whales and market makers had evidence that there could be a deeper price correction, this would have been reflected in the exchanges top traders’ long-to-short ratio. As the saying goes, “follow their actions, not their words,” meaning traders should be prepared for sub-$1,000 Ether, but not as the base scenario. 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.