📄 中文摘要
固定间距的网格交易策略存在明显问题。首先，买卖水平间距过紧会导致频繁的微交易，增加交易成本并降低利润；而间距过宽则可能导致价格在单一区间内波动，导致交易机器人闲置，资本未能有效运用。为了优化网格交易策略，建议采用动态间距，根据市场波动性进行调整，以提高交易效率和盈利能力。
基于ATR的动态网格间距：让波动性设定参数
出处: Dynamic grid spacing with ATR: letting volatility set the parameters
发布: 2026年3月8日
📄 English Summary
Dynamic grid spacing with ATR: letting volatility set the parameters
Fixed spacing in grid trading strategies presents significant issues. Setting the buy/sell levels too close results in frequent micro-trades, increasing transaction costs and reducing profits. Conversely, setting them too wide can cause the price to oscillate within a single band, leaving the trading bot idle and capital unutilized. To optimize grid trading strategies, it is recommended to adopt dynamic spacing that adjusts according to market volatility, enhancing trading efficiency and profitability.