ETH Short-term Quantitative Strategy: Breakout and Pullback Dual Trading Opportunities

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Based on a quantitative analysis framework, Ethereum (ETH) shows clear two-way trading opportunities in the short term. The current price is around $1,990, with technical indicators indicating key support and resistance levels. This analysis adopts a typical quantitative trading approach, constructing risk-controlled trading plans through precise price points and stop-loss settings.

Quantitative Breakout Strategy – Light Position Long Entry Plan

From a quantitative perspective, for breakout trades, it is recommended to establish small long positions in the $1,955-$1,960 range. This price zone is close to the current price and suitable for low-risk long testing. Strictly adhere to stop-loss discipline; if the price falls below the 7-day moving average (MA7), especially if it breaks below the $1,948 support, exit decisively.

According to the quantitative analysis model, the long targets are set in two stages: the first target at $1,970, and the second at $1,980. These targets follow the risk-reward principles of quantitative trading, aiming to achieve reasonable returns while controlling losses.

Quantitative Pullback Strategy – Rebound to Short Plan

The pullback strategy focuses on short opportunities during high rebound levels. In the $1,972-$1,978 range, as signs of weakening rebound appear, gradually establish short positions. This also employs light positioning, reflecting the risk diversification principle in quantitative trading.

Stop-loss is set at $1,985; if the price breaks above the previous high, exit immediately. The short targets are also divided into two levels: the first at $1,955, and the second at $1,945. This quantitative framework minimizes subjective emotional decisions through clear entry, exit, and stop-loss rules.

Short-term traders applying this quantitative strategy should emphasize position control and disciplined execution. The core advantage of quantitative analysis lies in standardized decision processes, helping traders avoid losses caused by impulsive actions.

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