My ETH Quantitative Trading Review: A Robust Strategy Driven by Long and Short Signals

In ETH/USDT quantitative trading, I employ a core framework of multi-timeframe signal resonance combined with strict stop-losses, capturing trend and reversal opportunities on the 1h and 4h timeframes.

Strategically, long signals (such as “Long_Condition2”) rely on short-term moving average golden crosses and increased volume, with stop-losses set below key support levels; short signals (such as “Short_Condition4”) are triggered by high-level divergence and volume breakouts, with stop-losses anchored at previous highs and resistance. Recent signals indicate that the 4h trend signals have a higher win rate, while the 1h timeframe is used to capture intraday volatility opportunities.

From a risk management perspective, each trade has a clearly preset stop-loss to avoid emotional interference, effectively controlling drawdown risk.

This strategy maintains stable output in both ranging and trending markets. I will continue to optimize signal filtering conditions to improve the risk-reward ratio.