Revert chan to the most valuable one
This commit is contained in:
jackyu66git
+7
-93
@@ -31,10 +31,6 @@ class ChanKLC():
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self.rsi = klu.rsi
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self.volume_ratio = klu.volume_ratio
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self.macdhist = 0
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# === 新增：KLC类型 ===
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self.klc_type = None # KLC类型：大阳线、大阴线、小阳线、小阴线
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def set_klc_fx_type(self, klc_fx_type):
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#print(self.start_time, klc_fx_type, self.get_feature_data()['klu_macd'], self.get_feature_data()['klu_macdhist'], self.get_feature_data()['klu_rsi'])
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self.klc_fx_type = klc_fx_type
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@@ -53,13 +49,7 @@ class ChanKLC():
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self.volume_ratio = self.volume_ratio / len(self.klus)
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self.volume = self.volume / len(self.klus)
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self.macdhist = self.macdhist / len(self.klus)
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def contain_klu_fx(self):
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if len(self.klus) > 0:
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for klu in self.klus:
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klu.update_realtime_analysis()
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if klu.fx_type == self.fx and klu.fx_strength > 1.8:
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return True
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return False
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def set_next(self, klc):
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self.next = klc
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def set_pre(self, klc):
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@@ -1157,78 +1147,6 @@ class ChanKLC():
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return features
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def check_fx_klu_strength(self):
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if self.pre and self.next and self.next.end_klu:
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strength = 0
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klc1 = self.pre
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klc2 = self
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klc3 = self.next
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# 检查包含关系
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inc = self.check_include_relation(klc1, klc2, klc3)
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if not inc:
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# 检查分型类型
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if self.fx == Chan_FX_TYPE.TOP:
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# (1)没有包含关系+1
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strength += 0
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print(self.start_time, "1")
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# (2)第1条K线是一条大阳线，而第2、3条K线是小阴线、小阳线，那么这个分型结构的意义就不大了，强度 -1
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if self.pre.cal_klu_min_max() > 0.5 and self.cal_klu_min_max() < 0.2 and self.next.cal_klu_min_max() < 0.2:
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strength += -1
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print(self.start_time, "2")
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# (3)第2条K线有长上影线或者就是大阴线，而第3条K线不能以阳线收在第2条K线区间的一半之上，那么该顶分型的力度就比较大
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if ((self.close < self.open and self.cal_klu_min_max() > 0.5) or self.cal_klu_upper_shadow() > 0.6) and not (self.next.close > self.next.open and self.next.close > (self.high-self.low)/2):
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strength += 1
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print(self.start_time, "3")
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else:
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if self.fx == Chan_FX_TYPE.TOP:
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# (4)第2条K线和第3条K线为包含关系，而第3条K线为大阴线(直接把为阳线的第2条K线“吃掉”)，这是最坏的一种包含关系。
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if self.start_klu.index - self.end_klu.index < 0:
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klu1 = self.start_klu
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klu2 = self.klus[1]
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print(self.start_time, self.end_time, "length: ", len(self.klus), klu1.index, klu2.index)
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if klu2.close < klu2.open and 100*abs(klu2.open - klu2.close) / klu2.open > 0.5 and klu1.high <= klu2.high and klu1.low >= klu2.low:
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strength += 1
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print(self.start_time, "4")
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# (5)第3条K线如果跌破第1条K线的底而且不能高于第1条K线区间的一半之上，则属于较弱的一种，也就是说这种顶分型出现后股价见顶的可能性不大。
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if self.next.low < self.pre.low and self.next.high < (self.pre.high + self.pre.low)/2:
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strength += -1
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print(self.start_time, "5")
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return strength
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else:
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return 0
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def cal_klu_upper_shadow(self):
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"""
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计算KLC的上影线长度
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上影线 = 最高价 - max(开盘价, 收盘价)
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"""
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if self.high <= 0: # 避免无效数据
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return 0
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# 计算上影线长度
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upper_shadow = self.high - max(self.open, self.close)
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# 计算相对上影线长度（相对于整个K线区间）
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total_range = self.high - self.low
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if total_range > 0:
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upper_shadow_ratio = upper_shadow / total_range
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else:
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upper_shadow_ratio = 0
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return upper_shadow_ratio
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def cal_klu_min_max(self):
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"""
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计算KLC类型：大阳线、大阴线、小阳线、小阴线
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"""
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if self.open <= 0: # 避免除零错误
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return 0
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line_type = 1000*abs(self.open - self.close) / self.open
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print(self.start_time, line_type)
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return line_type
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def check_include_relation(self, klc1, klc2, klc3):
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if klc1.start_klu.index - klc1.end_klu.index == 0 and klc2.start_klu.index - klc2.end_klu.index == 0 and klc3.start_klu.index - klc3.end_klu.index == 0:
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return False
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else:
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return True
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def cal_fx_strength(self):
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"""
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用self.pre和self.next实现分型强弱判断
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@@ -1246,12 +1164,11 @@ class ChanKLC():
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-2: 弱分型（明显中继）
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-3: 极弱分型（无效分型）
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"""
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#return self.check_fx_klu_strength()
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# 检查是否为分型，且有前后K线数据
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if self.fx == Chan_FX_TYPE.UNKNOWN or self.klc_fx_type == Chan_FX_TYPE.UNKNOWN:
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if self.fx == Chan_FX_TYPE.UNKNOWN:
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return 0
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if not self.pre or not self.next:
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return -100
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return 100
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# === 核心判断：分型在笔中的位置 ===
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# 1. 检查这个分型是否能够终结当前笔
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@@ -1283,7 +1200,6 @@ class ChanKLC():
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# 分型质量调整
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base_score += fx_quality
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#base_score += self.check_fx_klu_strength()
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#print(self.start_time, base_score, is_bi_end, post_fx_confirmation, fx_quality)
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# 限制在-3到3范围内
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return max(-3, min(3, base_score))
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@@ -1334,7 +1250,7 @@ class ChanKLC():
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first_low = self.pre.low
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middle_low = self.low
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key_support = min(first_low, middle_low)
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last_klc = None
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for i, klc in enumerate(subsequent_klcs):
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# 检查是否跌破关键支撑
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if klc.low < key_support:
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@@ -1347,8 +1263,7 @@ class ChanKLC():
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# 检查下跌趋势
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if i > 0 and klc.close < subsequent_klcs[i-1].close:
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downward_trend += 1
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last_klc = klc
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print(last_klc.start_time, last_klc.end_time)
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# 强烈笔终结：跌破关键位且无新高
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if broken_key_levels >= 1 and new_highs == 0 and downward_trend >= 2:
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return 2
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@@ -1381,7 +1296,7 @@ class ChanKLC():
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first_high = self.pre.high
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middle_high = self.high
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key_resistance = max(first_high, middle_high)
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last_klc = None
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for i, klc in enumerate(subsequent_klcs):
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# 检查是否突破关键阻力
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if klc.high > key_resistance:
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@@ -1394,8 +1309,7 @@ class ChanKLC():
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# 检查上涨趋势
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if i > 0 and klc.close > subsequent_klcs[i-1].close:
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upward_trend += 1
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last_klc = klc
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print(last_klc.start_time, last_klc.end_time)
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# 强烈笔终结：突破关键位且无新低
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if broken_key_levels >= 1 and new_lows == 0 and upward_trend >= 2:
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return 2
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+8
-16
@@ -67,12 +67,12 @@ class ChanLun():
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else:
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print(bi.start_klc.end_time, bi.dir, bi.is_sure)
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def check_fx(self, klc):
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if klc.pre and klc.next and klc.next.end_klu:
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if klc.pre and klc.next:
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if klc.high > klc.pre.high and klc.high > klc.next.high:
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klc.set_fx(Chan_FX_TYPE.TOP)
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#print(klc.start_time, klc.end_time,klc.next.start_time, klc.next.end_time,klc.fx, "TOP")
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return Chan_FX_TYPE.TOP
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if klc.pre and klc.next and klc.next.end_klu:
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if klc.pre and klc.next:
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if klc.low < klc.pre.low and klc.low < klc.next.low:
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klc.set_fx(Chan_FX_TYPE.BOTTOM)
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#print(klc.start_time, klc.end_time,klc.next.start_time, klc.next.end_time,klc.fx, "BOTTOM")
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@@ -149,9 +149,9 @@ class ChanLun():
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klc = klc_list[klc_index]
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if klc.end_klu and klc.end_klu.idx == index:
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klc_index += 1
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if (klc.klc_fx_type == Chan_KLC_FX.TOP1 or klc.klc_fx_type == Chan_KLC_FX.TOP2) and klc.contain_klu_fx():
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if klc.klc_fx_type == Chan_KLC_FX.TOP1 or klc.klc_fx_type == Chan_KLC_FX.TOP2:
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fx_list.append(1)
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elif (klc.klc_fx_type == Chan_KLC_FX.BOTTOM1 or klc.klc_fx_type == Chan_KLC_FX.BOTTOM2) and klc.contain_klu_fx():
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elif klc.klc_fx_type == Chan_KLC_FX.BOTTOM1 or klc.klc_fx_type == Chan_KLC_FX.BOTTOM2:
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fx_list.append(-1)
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else:
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fx_list.append(0)
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@@ -235,7 +235,6 @@ class ChanLun():
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def get_kl_data(self, dataframe:DataFrame):
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fields = "time,open,high,low,close,volume"
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klu_list = []
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last_klu = None
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for i in range(0, len(dataframe)):
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item = dataframe.iloc[i]
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date = item['date']
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@@ -259,13 +258,8 @@ class ChanLun():
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klu = ChanKLU(time_str, o, h, l, c, v)
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klu.set_idx(i)
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klu_list.append(klu)
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if last_klu:
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klu.set_pre(last_klu)
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last_klu.set_next(klu)
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last_klu.detect_realtime_fx()
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if 'macd' in item:
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klu.set_indicators(item)
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last_klu = klu
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return klu_list
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def cal_volume_ratio(self, dataframe, window=10):
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df = dataframe.copy()
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@@ -697,11 +691,10 @@ class ChanLun():
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else:
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# A new top found
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#last_top.set_fx(Chan_FX_TYPE.UNKNOWN)
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#print(klc.start_time, last_top.start_time, klc.cal_fx_strength(), "一类卖点Sell 1")
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last_top = klc
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#print(klc.start_time, klc.fx, bi_list[-1].dir, "Last Top Change 1")
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klc.set_klc_fx_type(Chan_KLC_FX.TOP1)
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#print(klc.start_time, klc.fx, "一类卖点Sell 1")
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#klc.set_fx(fx)
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#klc.set_state("10")
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bi_list[-1].add_klc(klc)
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@@ -732,7 +725,6 @@ class ChanLun():
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#klc.set_state("10")
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#print(klc.start_time, klc.fx, "笔卖点Sell 1")
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klc.set_klc_fx_type(Chan_KLC_FX.TOP2)
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#print(klc.start_time, last_top.start_time, klc.fx, "二类卖点Sell 2")
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bi_list[-1].add_klc(klc)
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klc.set_bi(bi_list[-1])
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else:
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@@ -757,7 +749,7 @@ class ChanLun():
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#klc.set_state('30')
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bi_list[-1].add_klc(klc)
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klc.set_bi(bi_list[-1])
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#print(klc.start_time, last_top.start_time, "Normal TOP Found, Confirm down bi 4")
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#print(klc.start_time, last_bottom.start_time, "Normal TOP Found, Confirm down bi 4")
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#print(klc.start_time, klc.fx, "笔卖点Sell 2")
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# last bottom = None
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else:
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@@ -1222,8 +1214,8 @@ class ChanLun():
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klc.set_pre(last_klc)
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last_klc.set_end_klu(last_klu)
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klc.set_pre_fx()
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#else:
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#last_klc.add_klu(klu)
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else:
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last_klc.add_klu(klu)
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else:
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ddir = Chan_KLINE_DIR.UP
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if klu.open > klu.close:
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@@ -14,23 +14,20 @@ import talib.abstract as ta
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from pandas import DataFrame
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from datetime import datetime, timedelta
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from freqtrade.persistence import Trade
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from typing import Optional, List, Dict
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from typing import Optional
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import logging
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logger = logging.getLogger(__name__)
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from freqtrade.optimize.space import Categorical, Dimension, Integer, SKDecimal
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### Now you can use logger.info('asfd') to log
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# freqtrade plot-dataframe --strategy ChanLun_BTC_15 --datadir user_data/data/binance -c ./user_data/ChanLun_SOL_15.json --timerange=20250309-
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# freqtrade trade -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies
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# freqtrade backtesting -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --export none --strategy-path ./user_data/Chan/strategies --timerange=20250525-
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# freqtrade backtesting -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies --timerange=20250525-
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# freqtrade download-data -c ./user_data/Chan/config/ChanLun_BTC_15.json -t 1m --pairs SOL/USDT:USDT --timerange=20250405-
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# freqtrade hyperopt --hyperopt-loss SharpeHyperOptLossDaily --spaces stoploss --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies -c ./user_data/Chan/config/ChanLun_BTC_15.json -e 200 --timerange=20250201-20250501
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# freqtrade live-backtest -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies --timerange=20250525-
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# freqtrade download-data -c ./user_data/Chan/config/ChanLun_BTC_15.json -t 1m --pairs BTC/USDT:USDT --timerange=20250405-
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# freqtrade hyperopt --hyperopt-loss SharpeHyperOptLossDaily --spaces roi stoploss --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies -c ./user_data/Chan/config/ChanLun_BTC_15.json -e 200 --timerange=20250201-20250401
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# sudo docker compose run --rm chanlun_btc backtesting -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies --timerange=20250525-
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# sudo docker compose run --rm chanlun_btc download-data -c ./user_data/Chan/config/ChanLun_BTC_15.json --pairs BTC/USDT:USDT -t 1m --timerange 20240101-
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# sudo docker compose run --rm chanlun_btc trade -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies
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# sudo docker compose run --rm chan_btc backtesting -c ./user_data/Chan/config/ChanLun_SOL.json --strategy ChanLun_SOL --strategy-path ./user_data/Chan/strategies --timerange=20250101-
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# sudo docker compose run --rm chan_btc download-data -c ./user_data/Chan/config/ChanLun_BTC_15.json --pairs BTC/USDT:USDT -t 1m --timerange 20240101-
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# sudo docker compose run --rm chan_btc trade -c ./user_data/Chan/config/ChanLun_BTC_15.json --strategy ChanLun_BTC_15 --strategy-path ./user_data/Chan/strategies
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class ChanLun_BTC_15(IStrategy):
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INTERFACE_VERSION: int = 3
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@@ -38,10 +35,10 @@ class ChanLun_BTC_15(IStrategy):
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# This attribute will be overridden if the config file contains "minimal_roi"
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# 30m and 1h
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minimal_roi = {
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"0": 0.15,
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"240": 0.1,
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"480": 0.02,
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"960": 0
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"0": 0.60,
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"360": 0.2,
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"640": 0.1,
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"1200": 0
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}
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# 5m and 15m
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minimal_roi_1 = {
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@@ -64,13 +61,14 @@ class ChanLun_BTC_15(IStrategy):
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"3600": 0
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}
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can_short = True
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lev = 10
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stoploss = -0.8
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lev = 50.0
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stoploss = -0.3
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trailing_stop = False
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trailing_stop_positive = 0.025
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trailing_stop_positive_offset = 0.045
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trailing_only_offset_is_reached = False
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position_adjustment_enable = True
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startup_candle_count = 600
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time5 = 5
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@@ -173,13 +171,11 @@ class ChanLun_BTC_15(IStrategy):
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def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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state_str = 'resample_{}_state'.format(self.get_ticker_indicator()*self.time5)
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fx_str = 'resample_{}_fx'.format(self.get_ticker_indicator()*self.time5)
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#state_str = 'state'
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#fx_str = 'fx'
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dataframe.loc[
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(
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#(dataframe['state'] == "-30")
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(dataframe[state_str].shift(self.time5*2) > 0) &
|
||||
(dataframe[fx_str].shift(self.time5*2) == -1)
|
||||
(dataframe[state_str].shift(self.time5) > 1.0) &
|
||||
(dataframe[fx_str].shift(self.time5) == -1)
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time5)].shift(self.time5) == "-10") &
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time30)] == "-10") &
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time5)].shift(self.time5) == "-10")
|
||||
@@ -189,8 +185,8 @@ class ChanLun_BTC_15(IStrategy):
|
||||
dataframe.loc[
|
||||
(
|
||||
#(dataframe['state'] == "-30")
|
||||
(dataframe[state_str].shift(self.time5*2) > 0) &
|
||||
(dataframe[fx_str].shift(self.time5*2) == 1)
|
||||
(dataframe[state_str].shift(self.time5) > 1.0) &
|
||||
(dataframe[fx_str].shift(self.time5) == 1)
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time5)].shift(self.time5) == "-10") &
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time30)] == "-10") &
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time5)].shift(self.time5) == "-10")
|
||||
@@ -201,13 +197,11 @@ class ChanLun_BTC_15(IStrategy):
|
||||
def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
|
||||
state_str = 'resample_{}_state'.format(self.get_ticker_indicator()*self.time5)
|
||||
fx_str = 'resample_{}_fx'.format(self.get_ticker_indicator()*self.time5)
|
||||
#state_str = 'state'
|
||||
#fx_str = 'fx'
|
||||
dataframe.loc[
|
||||
(
|
||||
#(dataframe['state']== "30")
|
||||
(dataframe[state_str].shift(self.time5*2) > 0) &
|
||||
(dataframe[fx_str].shift(self.time5*2) == 1)
|
||||
(dataframe[state_str].shift(self.time5) > 1.0) &
|
||||
(dataframe[fx_str].shift(self.time5) == 1)
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time30)] == "10") &
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time60)] == "10")
|
||||
),
|
||||
@@ -215,8 +209,8 @@ class ChanLun_BTC_15(IStrategy):
|
||||
dataframe.loc[
|
||||
(
|
||||
#(dataframe['state']== "30")
|
||||
(dataframe[state_str].shift(self.time5*2) > 0) &
|
||||
(dataframe[fx_str].shift(self.time5*2) == -1)
|
||||
(dataframe[state_str].shift(self.time5) > 1.0) &
|
||||
(dataframe[fx_str].shift(self.time5) == -1)
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time30)] == "10") &
|
||||
#(dataframe['resample_{}_state'.format(self.get_ticker_indicator()*self.time60)] == "10")
|
||||
),
|
||||
|
||||
@@ -16,3 +16,60 @@
|
||||
2025/05/27 01:57:54 [notice] 1#1: start worker process 29
|
||||
2025/05/27 01:57:54 [notice] 1#1: start worker process 30
|
||||
2025/05/27 01:57:54 [notice] 1#1: start worker process 31
|
||||
2025/06/05 02:20:20 [notice] 1#1: signal 3 (SIGQUIT) received, shutting down
|
||||
2025/06/05 02:20:20 [notice] 20#20: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 20#20: exiting
|
||||
2025/06/05 02:20:20 [notice] 21#21: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 21#21: exiting
|
||||
2025/06/05 02:20:20 [notice] 22#22: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 23#23: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 23#23: exiting
|
||||
2025/06/05 02:20:20 [notice] 29#29: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 29#29: exiting
|
||||
2025/06/05 02:20:20 [notice] 30#30: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 30#30: exiting
|
||||
2025/06/05 02:20:20 [notice] 28#28: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 28#28: exiting
|
||||
2025/06/05 02:20:20 [notice] 31#31: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 31#31: exiting
|
||||
2025/06/05 02:20:20 [notice] 24#24: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 24#24: exiting
|
||||
2025/06/05 02:20:20 [notice] 25#25: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 25#25: exiting
|
||||
2025/06/05 02:20:20 [notice] 27#27: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 27#27: exiting
|
||||
2025/06/05 02:20:20 [notice] 26#26: gracefully shutting down
|
||||
2025/06/05 02:20:20 [notice] 26#26: exiting
|
||||
2025/06/05 02:20:20 [notice] 20#20: exit
|
||||
2025/06/05 02:20:20 [notice] 21#21: exit
|
||||
2025/06/05 02:20:20 [notice] 22#22: exiting
|
||||
2025/06/05 02:20:20 [notice] 23#23: exit
|
||||
2025/06/05 02:20:20 [notice] 29#29: exit
|
||||
2025/06/05 02:20:20 [notice] 30#30: exit
|
||||
2025/06/05 02:20:20 [notice] 28#28: exit
|
||||
2025/06/05 02:20:20 [notice] 31#31: exit
|
||||
2025/06/05 02:20:20 [notice] 24#24: exit
|
||||
2025/06/05 02:20:20 [notice] 25#25: exit
|
||||
2025/06/05 02:20:20 [notice] 27#27: exit
|
||||
2025/06/05 02:20:20 [notice] 26#26: exit
|
||||
2025/06/05 02:20:20 [notice] 22#22: exit
|
||||
2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 25
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 21 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 22 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 24 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 25 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 26 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 29 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 31 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: signal 29 (SIGIO) received
|
||||
2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 24
|
||||
2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 27
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 27 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 28 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: signal 29 (SIGIO) received
|
||||
2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 28
|
||||
2025/06/05 02:20:20 [notice] 1#1: signal 17 (SIGCHLD) received from 20
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 20 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 23 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: worker process 30 exited with code 0
|
||||
2025/06/05 02:20:20 [notice] 1#1: exit
|
||||
|
||||
Reference in New Issue
Block a user