Ethereum long and short trading plan on December 23, 2025

Core Background

Ethereum has experienced significant fluctuations in the past month, dropping below $2800 on December 2, with a maximum decline of over 6%. It then rebounded to around $3050, with a range amplitude of about 12.5%. Currently, it is in the key trading range of 3000-3080. The decrease in on-chain circulation provides support, but the Federal Reserve's policy suppresses risk assets, leading to significant long-short divergence.

Long Strategy

- Entry reference: Place buy orders on a pullback to the 2970-2990 range. If it breaks the 2940 support level, immediately stop loss (defend the strong support at 2739).
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- Target levels: First target 3030-3050, second target 3070-3100, the trailing stop can be looked at 3160.
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- Order placement technique: Place a small long position at 2833, with a stop loss at 2739, aiming to profit from the rebound after an extreme pullback.

Short Selling Strategy

- Entry reference: Place a sell order for a rebound to the 3060-3085 range, and exit with a stop loss if it breaks the 3100 resistance level.
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- Target levels: First target 3035-2995, second target 2960-2940, if broken can extend to 2876.
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- Order Placement Skills: Place a sell order on the left side at the 3160 position, with a defense at 3200, to capture the pullback market after high-level pressure.

Risk Control

1. The position of a single trade should not exceed 10% of the total funds, and it is recommended that the leverage ratio be ≤20 times to avoid liquidation risk.
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2. Monitor the real-time correlation of Bitcoin's movements and the dynamics of the Federal Reserve's policies. If BTC falls below the support level of 88000, it is necessary to reduce the long position in Ether.
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3. Market liquidity is thin at the end of the year; breakout signals need to wait for confirmation from 1-2 candlesticks to avoid false breakout traps.

Note: The above data is based on the fluctuation range over the past month and the current technical analysis. Market volatility is influenced by macro policies, liquidation sentiment, etc. Operations need to be adjusted according to real-time market conditions, and risks are to be borne by oneself.