-
Notifications
You must be signed in to change notification settings - Fork 581
/
MyTT.py
288 lines (217 loc) · 14.8 KB
/
MyTT.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
# MyTT 麦语言-通达信-同花顺指标实现 https://github.com/mpquant/MyTT
# MyTT高级函数验证版本: https://github.com/mpquant/MyTT/blob/main/MyTT_plus.py
# Python2老版本pandas特别的MyTT: https://github.com/mpquant/MyTT/blob/main/MyTT_python2.py
# V2.1 2021-6-6 新增 BARSLAST函数 SLOPE,FORCAST线性回归预测函数
# V2.3 2021-6-13 新增 TRIX,DPO,BRAR,DMA,MTM,MASS,ROC,VR,ASI等指标
# V2.4 2021-6-27 新增 EXPMA,OBV,MFI指标, 改进SMA核心函数(核心函数彻底无循环)
# V2.7 2021-11-21 修正 SLOPE,BARSLAST,函数,新加FILTER,LONGCROSS, 感谢qzhjiang对SLOPE,SMA等函数的指正
# V2.8 2021-11-23 修正 FORCAST,WMA函数,欢迎qzhjiang,stanene,bcq加入社群,一起来完善myTT库
# V2.9 2021-11-29 新增 HHVBARS,LLVBARS,CONST, VALUEWHEN功能函数
# V2.92 2021-11-30 新增 BARSSINCEN函数,现在可以 pip install MyTT 完成安装
# V3.0 2021-12-04 改进 DMA函数支持序列,新增XS2 薛斯通道II指标
# V3.1 2021-12-19 新增 TOPRANGE,LOWRANGE一级函数
# V3.2 2023-04-04 新增 CR指标
# V3.3 2023-11-09 新增 SIN,COS,TAN序列处理的三角函数
#以下所有函数如无特别说明,输入参数S均为numpy序列或者列表list,N为整型int
#应用层1级函数完美兼容通达信或同花顺,具体使用方法请参考通达信
import numpy as np; import pandas as pd
#------------------ 0级:核心工具函数 --------------------------------------------
def RD(N,D=3): return np.round(N,D) #四舍五入取3位小数
def RET(S,N=1): return np.array(S)[-N] #返回序列倒数第N个值,默认返回最后一个
def ABS(S): return np.abs(S) #返回N的绝对值
def LN(S): return np.log(S) #求底是e的自然对数,
def POW(S,N): return np.power(S,N) #求S的N次方
def SQRT(S): return np.sqrt(S) #求S的平方根
def SIN(S): return np.sin(S) #求S的正弦值(弧度)
def COS(S): return np.cos(S) #求S的余弦值(弧度)
def TAN(S): return np.tan(S) #求S的正切值(弧度)
def MAX(S1,S2): return np.maximum(S1,S2) #序列max
def MIN(S1,S2): return np.minimum(S1,S2) #序列min
def IF(S,A,B): return np.where(S,A,B) #序列布尔判断 return=A if S==True else B
def REF(S, N=1): #对序列整体下移动N,返回序列(shift后会产生NAN)
return pd.Series(S).shift(N).values
def DIFF(S, N=1): #前一个值减后一个值,前面会产生nan
return pd.Series(S).diff(N).values #np.diff(S)直接删除nan,会少一行
def STD(S,N): #求序列的N日标准差,返回序列
return pd.Series(S).rolling(N).std(ddof=0).values
def SUM(S, N): #对序列求N天累计和,返回序列 N=0对序列所有依次求和
return pd.Series(S).rolling(N).sum().values if N>0 else pd.Series(S).cumsum().values
def CONST(S): #返回序列S最后的值组成常量序列
return np.full(len(S),S[-1])
def HHV(S,N): #HHV(C, 5) 最近5天收盘最高价
return pd.Series(S).rolling(N).max().values
def LLV(S,N): #LLV(C, 5) 最近5天收盘最低价
return pd.Series(S).rolling(N).min().values
def HHVBARS(S,N): #求N周期内S最高值到当前周期数, 返回序列
return pd.Series(S).rolling(N).apply(lambda x: np.argmax(x[::-1]),raw=True).values
def LLVBARS(S,N): #求N周期内S最低值到当前周期数, 返回序列
return pd.Series(S).rolling(N).apply(lambda x: np.argmin(x[::-1]),raw=True).values
def MA(S,N): #求序列的N日简单移动平均值,返回序列
return pd.Series(S).rolling(N).mean().values
def EMA(S,N): #指数移动平均,为了精度 S>4*N EMA至少需要120周期 alpha=2/(span+1)
return pd.Series(S).ewm(span=N, adjust=False).mean().values
def SMA(S, N, M=1): #中国式的SMA,至少需要120周期才精确 (雪球180周期) alpha=1/(1+com)
return pd.Series(S).ewm(alpha=M/N,adjust=False).mean().values #com=N-M/M
def WMA(S, N): #通达信S序列的N日加权移动平均 Yn = (1*X1+2*X2+3*X3+...+n*Xn)/(1+2+3+...+Xn)
return pd.Series(S).rolling(N).apply(lambda x:x[::-1].cumsum().sum()*2/N/(N+1),raw=True).values
def DMA(S, A): #求S的动态移动平均,A作平滑因子,必须 0<A<1 (此为核心函数,非指标)
if isinstance(A,(int,float)): return pd.Series(S).ewm(alpha=A,adjust=False).mean().values
A=np.array(A); A[np.isnan(A)]=1.0; Y= np.zeros(len(S)); Y[0]=S[0]
for i in range(1,len(S)): Y[i]=A[i]*S[i]+(1-A[i])*Y[i-1] #A支持序列 by jqz1226
return Y
def AVEDEV(S, N): #平均绝对偏差 (序列与其平均值的绝对差的平均值)
return pd.Series(S).rolling(N).apply(lambda x: (np.abs(x - x.mean())).mean()).values
def SLOPE(S, N): #返S序列N周期回线性回归斜率
return pd.Series(S).rolling(N).apply(lambda x: np.polyfit(range(N),x,deg=1)[0],raw=True).values
def FORCAST(S, N): #返回S序列N周期回线性回归后的预测值, jqz1226改进成序列出
return pd.Series(S).rolling(N).apply(lambda x:np.polyval(np.polyfit(range(N),x,deg=1),N-1),raw=True).values
def LAST(S, A, B): #从前A日到前B日一直满足S_BOOL条件, 要求A>B & A>0 & B>=0
return np.array(pd.Series(S).rolling(A+1).apply(lambda x:np.all(x[::-1][B:]),raw=True),dtype=bool)
#------------------ 1级:应用层函数(通过0级核心函数实现)使用方法请参考通达信--------------------------------
def COUNT(S, N): # COUNT(CLOSE>O, N): 最近N天满足S_BOO的天数 True的天数
return SUM(S,N)
def EVERY(S, N): # EVERY(CLOSE>O, 5) 最近N天是否都是True
return IF(SUM(S,N)==N,True,False)
def EXIST(S, N): # EXIST(CLOSE>3010, N=5) n日内是否存在一天大于3000点
return IF(SUM(S,N)>0,True,False)
def FILTER(S, N): # FILTER函数,S满足条件后,将其后N周期内的数据置为0, FILTER(C==H,5)
for i in range(len(S)): S[i+1:i+1+N]=0 if S[i] else S[i+1:i+1+N]
return S # 例:FILTER(C==H,5) 涨停后,后5天不再发出信号
def BARSLAST(S): #上一次条件成立到当前的周期, BARSLAST(C/REF(C,1)>=1.1) 上一次涨停到今天的天数
M=np.concatenate(([0],np.where(S,1,0)))
for i in range(1, len(M)): M[i]=0 if M[i] else M[i-1]+1
return M[1:]
def BARSLASTCOUNT(S): # 统计连续满足S条件的周期数 by jqz1226
rt = np.zeros(len(S)+1) # BARSLASTCOUNT(CLOSE>OPEN)表示统计连续收阳的周期数
for i in range(len(S)): rt[i+1]=rt[i]+1 if S[i] else rt[i+1]
return rt[1:]
def BARSSINCEN(S, N): # N周期内第一次S条件成立到现在的周期数,N为常量 by jqz1226
return pd.Series(S).rolling(N).apply(lambda x:N-1-np.argmax(x) if np.argmax(x) or x[0] else 0,raw=True).fillna(0).values.astype(int)
def CROSS(S1, S2): # 判断向上金叉穿越 CROSS(MA(C,5),MA(C,10)) 判断向下死叉穿越 CROSS(MA(C,10),MA(C,5))
return np.concatenate(([False], np.logical_not((S1>S2)[:-1]) & (S1>S2)[1:])) # 不使用0级函数,移植方便 by jqz1226
def LONGCROSS(S1,S2,N): # 两条线维持一定周期后交叉,S1在N周期内都小于S2,本周期从S1下方向上穿过S2时返回1,否则返回0
return np.array(np.logical_and(LAST(S1<S2,N,1),(S1>S2)),dtype=bool) # N=1时等同于CROSS(S1, S2)
def VALUEWHEN(S, X): # 当S条件成立时,取X的当前值,否则取VALUEWHEN的上个成立时的X值 by jqz1226
return pd.Series(np.where(S,X,np.nan)).ffill().values
def BETWEEN(S, A, B): # S处于A和B之间时为真。 包括 A<S<B 或 A>S>B
return ((A<S) & (S<B)) | ((A>S) & (S>B))
def TOPRANGE(S): # TOPRANGE(HIGH)表示当前最高价是近多少周期内最高价的最大值 by jqz1226
rt = np.zeros(len(S))
for i in range(1,len(S)): rt[i] = np.argmin(np.flipud(S[:i]<S[i]))
return rt.astype('int')
def LOWRANGE(S): # LOWRANGE(LOW)表示当前最低价是近多少周期内最低价的最小值 by jqz1226
rt = np.zeros(len(S))
for i in range(1,len(S)): rt[i] = np.argmin(np.flipud(S[:i]>S[i]))
return rt.astype('int')
#------------------ 2级:技术指标函数(全部通过0级,1级函数实现) ------------------------------
def MACD(CLOSE,SHORT=12,LONG=26,M=9): # EMA的关系,S取120日,和雪球小数点2位相同
DIF = EMA(CLOSE,SHORT)-EMA(CLOSE,LONG);
DEA = EMA(DIF,M); MACD=(DIF-DEA)*2
return RD(DIF),RD(DEA),RD(MACD)
def KDJ(CLOSE,HIGH,LOW, N=9,M1=3,M2=3): # KDJ指标
RSV = (CLOSE - LLV(LOW, N)) / (HHV(HIGH, N) - LLV(LOW, N)) * 100
K = EMA(RSV, (M1*2-1)); D = EMA(K,(M2*2-1)); J=K*3-D*2
return K, D, J
def RSI(CLOSE, N=24): # RSI指标,和通达信小数点2位相同
DIF = CLOSE-REF(CLOSE,1)
return RD(SMA(MAX(DIF,0), N) / SMA(ABS(DIF), N) * 100)
def WR(CLOSE, HIGH, LOW, N=10, N1=6): #W&R 威廉指标
WR = (HHV(HIGH, N) - CLOSE) / (HHV(HIGH, N) - LLV(LOW, N)) * 100
WR1 = (HHV(HIGH, N1) - CLOSE) / (HHV(HIGH, N1) - LLV(LOW, N1)) * 100
return RD(WR), RD(WR1)
def BIAS(CLOSE,L1=6, L2=12, L3=24): # BIAS乖离率
BIAS1 = (CLOSE - MA(CLOSE, L1)) / MA(CLOSE, L1) * 100
BIAS2 = (CLOSE - MA(CLOSE, L2)) / MA(CLOSE, L2) * 100
BIAS3 = (CLOSE - MA(CLOSE, L3)) / MA(CLOSE, L3) * 100
return RD(BIAS1), RD(BIAS2), RD(BIAS3)
def BOLL(CLOSE,N=20, P=2): #BOLL指标,布林带
MID = MA(CLOSE, N);
UPPER = MID + STD(CLOSE, N) * P
LOWER = MID - STD(CLOSE, N) * P
return RD(UPPER), RD(MID), RD(LOWER)
def PSY(CLOSE,N=12, M=6):
PSY=COUNT(CLOSE>REF(CLOSE,1),N)/N*100
PSYMA=MA(PSY,M)
return RD(PSY),RD(PSYMA)
def CCI(CLOSE,HIGH,LOW,N=14):
TP=(HIGH+LOW+CLOSE)/3
return (TP-MA(TP,N))/(0.015*AVEDEV(TP,N))
def ATR(CLOSE,HIGH,LOW, N=20): #真实波动N日平均值
TR = MAX(MAX((HIGH - LOW), ABS(REF(CLOSE, 1) - HIGH)), ABS(REF(CLOSE, 1) - LOW))
return MA(TR, N)
def BBI(CLOSE,M1=3,M2=6,M3=12,M4=20): #BBI多空指标
return (MA(CLOSE,M1)+MA(CLOSE,M2)+MA(CLOSE,M3)+MA(CLOSE,M4))/4
def DMI(CLOSE,HIGH,LOW,M1=14,M2=6): #动向指标:结果和同花顺,通达信完全一致
TR = SUM(MAX(MAX(HIGH - LOW, ABS(HIGH - REF(CLOSE, 1))), ABS(LOW - REF(CLOSE, 1))), M1)
HD = HIGH - REF(HIGH, 1); LD = REF(LOW, 1) - LOW
DMP = SUM(IF((HD > 0) & (HD > LD), HD, 0), M1)
DMM = SUM(IF((LD > 0) & (LD > HD), LD, 0), M1)
PDI = DMP * 100 / TR; MDI = DMM * 100 / TR
ADX = MA(ABS(MDI - PDI) / (PDI + MDI) * 100, M2)
ADXR = (ADX + REF(ADX, M2)) / 2
return PDI, MDI, ADX, ADXR
def TAQ(HIGH,LOW,N): #唐安奇通道(海龟)交易指标,大道至简,能穿越牛熊
UP=HHV(HIGH,N); DOWN=LLV(LOW,N); MID=(UP+DOWN)/2
return UP,MID,DOWN
def KTN(CLOSE,HIGH,LOW,N=20,M=10): #肯特纳交易通道, N选20日,ATR选10日
MID=EMA((HIGH+LOW+CLOSE)/3,N)
ATRN=ATR(CLOSE,HIGH,LOW,M)
UPPER=MID+2*ATRN; LOWER=MID-2*ATRN
return UPPER,MID,LOWER
def TRIX(CLOSE,M1=12, M2=20): #三重指数平滑平均线
TR = EMA(EMA(EMA(CLOSE, M1), M1), M1)
TRIX = (TR - REF(TR, 1)) / REF(TR, 1) * 100
TRMA = MA(TRIX, M2)
return TRIX, TRMA
def VR(CLOSE,VOL,M1=26): #VR容量比率
LC = REF(CLOSE, 1)
return SUM(IF(CLOSE > LC, VOL, 0), M1) / SUM(IF(CLOSE <= LC, VOL, 0), M1) * 100
def CR(CLOSE,HIGH,LOW,N=20): #CR价格动量指标
MID=REF(HIGH+LOW+CLOSE,1)/3;
return SUM(MAX(0,HIGH-MID),N)/SUM(MAX(0,MID-LOW),N)*100
def EMV(HIGH,LOW,VOL,N=14,M=9): #简易波动指标
VOLUME=MA(VOL,N)/VOL; MID=100*(HIGH+LOW-REF(HIGH+LOW,1))/(HIGH+LOW)
EMV=MA(MID*VOLUME*(HIGH-LOW)/MA(HIGH-LOW,N),N); MAEMV=MA(EMV,M)
return EMV,MAEMV
def DPO(CLOSE,M1=20, M2=10, M3=6): #区间震荡线
DPO = CLOSE - REF(MA(CLOSE, M1), M2); MADPO = MA(DPO, M3)
return DPO, MADPO
def BRAR(OPEN,CLOSE,HIGH,LOW,M1=26): #BRAR-ARBR 情绪指标
AR = SUM(HIGH - OPEN, M1) / SUM(OPEN - LOW, M1) * 100
BR = SUM(MAX(0, HIGH - REF(CLOSE, 1)), M1) / SUM(MAX(0, REF(CLOSE, 1) - LOW), M1) * 100
return AR, BR
def DFMA(CLOSE,N1=10,N2=50,M=10): #平行线差指标
DIF=MA(CLOSE,N1)-MA(CLOSE,N2); DIFMA=MA(DIF,M) #通达信指标叫DMA 同花顺叫新DMA
return DIF,DIFMA
def MTM(CLOSE,N=12,M=6): #动量指标
MTM=CLOSE-REF(CLOSE,N); MTMMA=MA(MTM,M)
return MTM,MTMMA
def MASS(HIGH,LOW,N1=9,N2=25,M=6): #梅斯线
MASS=SUM(MA(HIGH-LOW,N1)/MA(MA(HIGH-LOW,N1),N1),N2)
MA_MASS=MA(MASS,M)
return MASS,MA_MASS
def ROC(CLOSE,N=12,M=6): #变动率指标
ROC=100*(CLOSE-REF(CLOSE,N))/REF(CLOSE,N); MAROC=MA(ROC,M)
return ROC,MAROC
def EXPMA(CLOSE,N1=12,N2=50): #EMA指数平均数指标
return EMA(CLOSE,N1),EMA(CLOSE,N2);
def OBV(CLOSE,VOL): #能量潮指标
return SUM(IF(CLOSE>REF(CLOSE,1),VOL,IF(CLOSE<REF(CLOSE,1),-VOL,0)),0)/10000
def MFI(CLOSE,HIGH,LOW,VOL,N=14): #MFI指标是成交量的RSI指标
TYP = (HIGH + LOW + CLOSE)/3
V1=SUM(IF(TYP>REF(TYP,1),TYP*VOL,0),N)/SUM(IF(TYP<REF(TYP,1),TYP*VOL,0),N)
return 100-(100/(1+V1))
def ASI(OPEN,CLOSE,HIGH,LOW,M1=26,M2=10): #振动升降指标
LC=REF(CLOSE,1); AA=ABS(HIGH-LC); BB=ABS(LOW-LC);
CC=ABS(HIGH-REF(LOW,1)); DD=ABS(LC-REF(OPEN,1));
R=IF( (AA>BB) & (AA>CC),AA+BB/2+DD/4,IF( (BB>CC) & (BB>AA),BB+AA/2+DD/4,CC+DD/4));
X=(CLOSE-LC+(CLOSE-OPEN)/2+LC-REF(OPEN,1));
SI=16*X/R*MAX(AA,BB); ASI=SUM(SI,M1); ASIT=MA(ASI,M2);
return ASI,ASIT
def XSII(CLOSE, HIGH, LOW, N=102, M=7): #薛斯通道II
AA = MA((2*CLOSE + HIGH + LOW)/4, 5) #最新版DMA才支持 2021-12-4
TD1 = AA*N/100; TD2 = AA*(200-N) / 100
CC = ABS((2*CLOSE + HIGH + LOW)/4 - MA(CLOSE,20))/MA(CLOSE,20)
DD = DMA(CLOSE,CC); TD3=(1+M/100)*DD; TD4=(1-M/100)*DD
return TD1, TD2, TD3, TD4
#望大家能提交更多指标和函数 https://github.com/mpquant/MyTT