Life Veda

Investment Analysis, Market Insights, and Trading Strategies

View the Project on GitHub

价格行为案例 02:股票多周期分析框架 | Price Action Case Study 02: Multi-Timeframe Stock Analysis Framework

核心框架 | Core Framework

从股票角度,尤其是中国股票,我采用“月线选股、周线主操盘、日线优化成本”的三层框架。
For stocks, especially Chinese equities, I use a three-layer framework: monthly for selection, weekly for primary execution, and daily for cost optimization.

月线用途 | Why Monthly

先抛开基本面,仅从 K 线角度看,股票首先是“选标的”的问题,月线更适合做这个筛选。
Putting fundamentals aside and focusing on price action, the first problem is stock selection, and the monthly chart is the best filter.

同一时期内,月线波动更活跃的品种,未来出现更大涨幅的概率往往更高。
Within the same period, symbols with stronger monthly expansion often have higher odds of larger future advances.

周线用途 | Why Weekly

周线更接近主力资金的节奏:既不会像月线那样过慢,也不会像日线那样噪音太多。
The weekly chart better matches institutional pacing: not as slow as monthly, not as noisy as daily.

如果以周线做 Swing,一年内有效交易次数可能很少,但更符合长期持有与趋势跟随。
If weekly bars drive Swing decisions, valid trades may be infrequent in a year, but this aligns better with long-horizon trend holding.

日线用途 | Why Daily

股票是日频交易市场,所以日线更适合做加减仓节奏与持仓成本优化。
Stocks trade daily, so the daily chart is better for position scaling and entry-cost optimization.

关键结论 | Key Takeaway

多周期不是为了增加复杂度,而是把“方向判断”和“执行细节”拆开处理。
Multi-timeframe work is not about adding complexity; it separates directional judgment from execution detail.