diff --git a/czsc/signals/__init__.py b/czsc/signals/__init__.py
index fb268aa6a..7c21fbf28 100644
--- a/czsc/signals/__init__.py
+++ b/czsc/signals/__init__.py
@@ -108,6 +108,7 @@
bar_window_std_V230731,
bar_window_ps_V230731,
bar_window_ps_V230801,
+ bar_trend_V240209,
)
from czsc.signals.jcc import (
diff --git a/czsc/signals/bar.py b/czsc/signals/bar.py
index d291903ee..0e9c259da 100644
--- a/czsc/signals/bar.py
+++ b/czsc/signals/bar.py
@@ -16,7 +16,7 @@
from czsc.traders.base import CzscSignals
from czsc.objects import RawBar
from czsc.utils.sig import check_pressure_support
-from czsc.signals.tas import update_ma_cache
+from czsc.signals.tas import update_ma_cache, update_macd_cache
from czsc.utils.bar_generator import freq_end_time
from czsc.utils import single_linear, freq_end_time, get_sub_elements, create_single_signal
@@ -1648,3 +1648,67 @@ def bar_window_ps_V230801(c: CZSC, **kwargs) -> OrderedDict:
pcts = [int(max((x.close - L_line) / (H_line - L_line), 0) * 10) for x in c.bars_raw[-w:]]
v1, v2, v3 = f"最大N{max(pcts)}", f"最小N{min(pcts)}", f"当前N{pcts[-1]}"
return create_single_signal(k1=k1, k2=k2, k3=k3, v1=v1, v2=v2, v3=v3)
+
+
+def bar_trend_V240209(c: CZSC, **kwargs) -> OrderedDict:
+ """趋势跟踪信号
+
+ 参数模板："{freq}_D{di}N{N}趋势跟踪_BS辅助V240209"
+
+ **信号逻辑：**
+
+ 以多头为例：
+ 1. 低点出现在高点之后，且低点右侧的高点到当前K线之间的K线数量在5-30之间；
+ 2. 低点右侧的K线的DIF值小于前N根K线的DIF值的标准差的一半；
+ 3. 低点右侧的K线的最低价大于低点的最低价；
+ 4. 低点右侧的K线的MACD值小于前N根K线的MACD值的标准差的一半。
+
+ **信号列表：**
+
+ - Signal('60分钟_D1N60趋势跟踪_BS辅助V240209_多头_任意_任意_0')
+ - Signal('60分钟_D1N60趋势跟踪_BS辅助V240209_空头_任意_任意_0')
+
+ :param c: CZSC对象
+ :param kwargs: 参数设置
+
+ - di: int, default 1, 倒数第几根K线
+ - N: int, default 20, 窗口大小
+
+ :return: 信号识别结果
+ """
+ di = int(kwargs.get('di', 1))
+ N = int(kwargs.get('N', 60))
+
+ freq = c.freq.value
+ k1, k2, k3 = f"{freq}_D{di}N{N}趋势跟踪_BS辅助V240209".split('_')
+ v1 = '其他'
+ cache_key = update_macd_cache(c)
+ bars = get_sub_elements(c.bars_raw, di=di, n=N)
+ max_bar = max(bars, key=lambda x: x.high)
+ min_bar = min(bars, key=lambda x: x.low)
+ dif_std = np.std([x.cache[cache_key]['dif'] for x in bars])
+ macd_std = np.std([x.cache[cache_key]['macd'] for x in bars])
+
+ if min_bar.dt < max_bar.dt:
+ right_bars = [x for x in c.bars_raw if x.dt >= max_bar.dt]
+ right_min_bar = min(right_bars, key=lambda x: x.low)
+ c1 = 30 > right_min_bar.id - max_bar.id > 5
+ c2 = abs(right_bars[-1].cache[cache_key]['dif']) < dif_std # type: ignore
+ c3 = right_min_bar.low > min_bar.low
+ c4 = abs(right_bars[-1].cache[cache_key]['macd']) < macd_std # type: ignore
+
+ if c1 and c2 and c3 and c4:
+ return create_single_signal(k1=k1, k2=k2, k3=k3, v1="多头")
+
+ if min_bar.dt > max_bar.dt:
+ right_bars = [x for x in c.bars_raw if x.dt >= min_bar.dt]
+ right_max_bar = max(right_bars, key=lambda x: x.high)
+ c1 = 30 > right_max_bar.id - min_bar.id > 5
+ c2 = abs(right_bars[-1].cache[cache_key]['dif']) < dif_std # type: ignore
+ c3 = right_max_bar.high < max_bar.high
+ c4 = abs(right_bars[-1].cache[cache_key]['macd']) < macd_std # type: ignore
+
+ if c1 and c2 and c3 and c4:
+ return create_single_signal(k1=k1, k2=k2, k3=k3, v1="空头")
+
+ return create_single_signal(k1=k1, k2=k2, k3=k3, v1=v1)
diff --git a/examples/signals_dev/bar_trend_V240209.py b/examples/signals_dev/bar_trend_V240209.py
new file mode 100644
index 000000000..0400aa411
--- /dev/null
+++ b/examples/signals_dev/bar_trend_V240209.py
@@ -0,0 +1,85 @@
+import numpy as np
+from collections import OrderedDict
+from czsc.analyze import CZSC
+from loguru import logger
+from czsc.signals.tas import update_ma_cache, update_macd_cache
+from czsc.utils import create_single_signal, get_sub_elements, fast_slow_cross
+
+
+def bar_trend_V240209(c: CZSC, **kwargs) -> OrderedDict:
+ """趋势跟踪信号
+
+ 参数模板："{freq}_D{di}N{N}趋势跟踪_BS辅助V240209"
+
+ **信号逻辑：**
+
+ 以多头为例：
+ 1. 低点出现在高点之后，且低点右侧的高点到当前K线之间的K线数量在5-30之间；
+ 2. 低点右侧的K线的DIF值小于前N根K线的DIF值的标准差的一半；
+ 3. 低点右侧的K线的最低价大于低点的最低价；
+ 4. 低点右侧的K线的MACD值小于前N根K线的MACD值的标准差的一半。
+
+ **信号列表：**
+
+ - Signal('60分钟_D1N60趋势跟踪_BS辅助V240209_多头_任意_任意_0')
+ - Signal('60分钟_D1N60趋势跟踪_BS辅助V240209_空头_任意_任意_0')
+
+ :param c: CZSC对象
+ :param kwargs: 参数设置
+
+ - di: int, default 1, 倒数第几根K线
+ - N: int, default 20, 窗口大小
+
+ :return: 信号识别结果
+ """
+ di = int(kwargs.get('di', 1))
+ N = int(kwargs.get('N', 60))
+
+ freq = c.freq.value
+ k1, k2, k3 = f"{freq}_D{di}N{N}趋势跟踪_BS辅助V240209".split('_')
+ v1 = '其他'
+ cache_key = update_macd_cache(c)
+ bars = get_sub_elements(c.bars_raw, di=di, n=N)
+ max_bar = max(bars, key=lambda x: x.high)
+ min_bar = min(bars, key=lambda x: x.low)
+ dif_std = np.std([x.cache[cache_key]['dif'] for x in bars])
+ macd_std = np.std([x.cache[cache_key]['macd'] for x in bars])
+
+ if min_bar.dt < max_bar.dt:
+ right_bars = [x for x in c.bars_raw if x.dt >= max_bar.dt]
+ right_min_bar = min(right_bars, key=lambda x: x.low)
+ c1 = 30 > right_min_bar.id - max_bar.id > 5
+ c2 = abs(right_bars[-1].cache[cache_key]['dif']) < dif_std # type: ignore
+ c3 = right_min_bar.low > min_bar.low
+ c4 = abs(right_bars[-1].cache[cache_key]['macd']) < macd_std # type: ignore
+
+ if c1 and c2 and c3 and c4:
+ return create_single_signal(k1=k1, k2=k2, k3=k3, v1="多头")
+
+ if min_bar.dt > max_bar.dt:
+ right_bars = [x for x in c.bars_raw if x.dt >= min_bar.dt]
+ right_max_bar = max(right_bars, key=lambda x: x.high)
+ c1 = 30 > right_max_bar.id - min_bar.id > 5
+ c2 = abs(right_bars[-1].cache[cache_key]['dif']) < dif_std # type: ignore
+ c3 = right_max_bar.high < max_bar.high
+ c4 = abs(right_bars[-1].cache[cache_key]['macd']) < macd_std # type: ignore
+
+ if c1 and c2 and c3 and c4:
+ return create_single_signal(k1=k1, k2=k2, k3=k3, v1="空头")
+
+ return create_single_signal(k1=k1, k2=k2, k3=k3, v1=v1)
+
+
+def check():
+ from czsc.connectors import research
+ from czsc.traders.base import check_signals_acc
+
+ symbols = research.get_symbols('A股主要指数')
+ bars = research.get_raw_bars(symbols[0], '15分钟', '20181101', '20210101', fq='前复权')
+
+ signals_config = [{'name': bar_trend_V240209, 'freq': "60分钟", 'N': 60}]
+ check_signals_acc(bars, signals_config=signals_config, height='780px', delta_days=1) # type: ignore
+
+
+if __name__ == '__main__':
+ check()