a-share-trend-following
BusinessA股趋势跟踪策略/趋势强度分析。当用户说"趋势跟踪"、"trend following"、"趋势交易"、"顺势"、"趋势强度"、"ADX"、"均线策略"、"海龟策略"、"突破策略"时触发。基于 cn-stock-data 获取K线数据,构建趋势跟踪策略,分析趋势强度和方向。支持研报风格(formal)和快速分析风格(brief)。
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A股趋势跟踪策略 (a-share-trend-following)
数据获取
通过 cn-stock-data skill 获取K线数据:
- 日K线:至少 120 个交易日(均线计算需要足够回溯期)
- 周K线:可选,用于多周期共振确认
- 调用方式:
cn-stock-datakline 接口,获取 OHLCV 数据
分析流程
Step 1: 获取K线数据
- 使用 cn-stock-data 获取目标股票日K线(默认 250 日)
- 保存为 JSON 供
scripts/trend_follower.py使用
Step 2: 计算趋势指标
运行脚本:
python scripts/trend_follower.py --data kline.json --method all --fast 20 --slow 60
核心指标体系:
| 指标 | 用途 | 默认参数 |
|---|---|---|
| SMA/EMA 交叉 | 趋势方向判定 | fast=20, slow=60 |
| ADX/DMI | 趋势强度量化 | period=14 |
| Donchian Channel | 突破信号 | period=20 |
| ATR Trailing Stop | 动态止损 | period=14, multiplier=2.0 |
Step 3: 趋势状态判定
根据指标综合判定当前趋势regime:
- 强上升趋势: ADX>25 且 +DI>-DI 且价格在均线上方
- 弱上升趋势: 价格在均线上方但 ADX<25
- 震荡/无趋势: ADX<20,均线缠绕
- 弱下降趋势: 价格在均线下方但 ADX<25
- 强下降趋势: ADX>25 且 -DI>+DI 且价格在均线下方
Step 4: 生成交易信号与回测
- 策略可选:
ma_cross(均线交叉)、donchian(突破)、turtle(海龟)、all(综合) - 回测指标:累计收益、年化收益、Sharpe ratio、最大回撤、胜率、盈亏比、Profit Factor
Step 5: 输出结果
A股特殊考量
- T+1 制度: 买入当日不可卖出,信号需延迟一日执行
- 涨跌停板: 涨停无法买入 / 跌停无法卖出,需检测涨跌停状态
- 停牌缺口: 停牌后复牌可能跳空,ATR 止损需特殊处理
- 印花税: 卖出 0.05%(2024年起),佣金双边 0.025%
输出风格
formal(研报风格)
## 趋势跟踪分析报告:{股票名称}({代码})
### 一、趋势状态总览
### 二、趋势指标详情
### 三、交易信号与策略
### 四、回测绩效
### 五、风险提示与操作建议
brief(快速分析风格)
{股票名称} 趋势跟踪速览
趋势状态: 强上升 | ADX={value}
当前信号: 持有/买入/卖出/观望
关键价位: 止损={x} 止盈={y}
近期绩效: 胜率={w}% Sharpe={s}
注意事项
- 趋势策略在震荡市中容易产生频繁假信号(whipsaw),需结合 ADX 过滤
- 单一策略不构成投资建议,应结合基本面和市场环境综合判断
- 回测结果不代表未来表现,注意过拟合风险