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添加新的周期数据

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jackyu66git
2026-02-02 00:35:51 +08:00
parent dd5ba33c0f
commit 42dac07274
5 changed files with 64 additions and 203 deletions
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ChanLun.py
+27 -10
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@@ -18,13 +18,17 @@ from TF_DF import TF_DF
class ChanLun():
def __init__(self):
self.time2m = 2
self.time3m = 3
self.time5m = 5
self.time10m = 10
self.time15m = 15
self.time20m = 20
self.time_m_intervals = [2, 3, 5, 10, 20]
self.time_m_symbols = ['2m', '3m', '5m', '10m', '20m']
self.time30m = 30
self.time_m_intervals = [2, 3, 5, 10, 15, 20, 30]
self.time_m_symbols = ['2m', '3m', '5m', '10m', '15m', '20m','30m']
self.time45m = 45
self.time_m15_intervals = [30, 45]
self.time_m15_symbols = ['30m', '45m']
self.time2h = 2*60
self.time4h = 4*60
self.time6h = 6*60
@@ -35,35 +39,43 @@ class ChanLun():
self.time_h_symbols = ['2h', '4h', '6h', '8h', '12h', '16h']
self.time2d = 2*24*60
self.time3d = 3*24*60
self.time_d_intervals = [2*24*60, 3*24*60]
self.time_d_symbols = ['2d', '3d']
self.time1w = 7*24*60
self.time2w = 14*24*60
self.time_d_intervals = [2*24*60, 3*24*60, 7*24*60, 14*24*60]
self.time_d_symbols = ['2d', '3d', '1w', '2w']
self.time_w_intervals = [14*24*60]
self.time_w_symbols = ['2w']
self.time2M = 2*30*24*60
self.time3M = 3*30*24*60
self.time6M = 6*30*24*60
self.time1y = 12*30*24*60
self.time_M_intervals = [2*30*24*60, 3*30*24*60, 6*30*24*60, 12*30*24*60]
self.time_M_symbols = ['2M', '3M', '6M', '1y']
self.time_symbols = ['1m', '2m', '3m', '5m', '10m', '15m', '20m','30m', '1h', '2h', '4h', '6h', '8h', '12h', '16h', '1d', '2d', '3d', '1w', '2w', '1M', '3M', '6M', '1y']
self.time_symbols = ['1m', '2m', '3m', '5m', '10m', '15m', '20m', '30m', '45m','1h', '2h', '4h', '6h', '8h', '12h', '16h', '1d', '2d', '3d', '1w', '2w', '1M', '3M', '6M', '1y']
self.tf_df_dict = {}
self.ema_symbols = ['1m', '2m', '3m', '5m', '10m', '15m', '20m','30m', '1h', '2h', '4h', '6h', '8h', '12h', '16h', '1d', '2d', '3d']
self.ema_symbols = ['1m', '2m', '3m', '5m', '10m', '15m', '20m', '30m', '45m', '1h', '2h', '4h', '6h', '8h', '12h', '16h', '1d', '2d', '3d']
self.tf_df = TF_DF()
def init_data(self, dataframe, intervals, timeframes):
for index in range(0, len(intervals)):
timeframe = timeframes[index]
interval = intervals[index]
self.tf_df_dict[timeframe] = TF_DF(dataframe, interval, timeframe)
def init_dataframes(self, dataframe_m=None, dataframe_h=None, dataframe_d=None, dataframe_M=None):
def init_dataframes(self, dataframe_m=None, dataframe_15m=None, dataframe_h=None, dataframe_d=None, dataframe_w=None, dataframe_M=None):
if dataframe_m is not None:
self.tf_df_dict['1m'] = TF_DF(dataframe_m, 1, '1m')
self.init_data(dataframe_m, self.time_m_intervals, self.time_m_symbols)
if dataframe_15m is not None:
self.tf_df_dict['15m'] = TF_DF(dataframe_15m, 1, '15m')
self.init_data(dataframe_15m, self.time_m15_intervals, self.time_m15_symbols)
if dataframe_h is not None:
self.tf_df_dict['1h'] = TF_DF(dataframe_h, 1, '1h')
self.init_data(dataframe_h, self.time_h_intervals, self.time_h_symbols)
if dataframe_d is not None:
self.tf_df_dict['1d'] = TF_DF(dataframe_d, 1, '1d')
self.init_data(dataframe_d, self.time_d_intervals, self.time_d_symbols)
if dataframe_w is not None:
self.tf_df_dict['1w'] = TF_DF(dataframe_w, 1, '1w')
self.init_data(dataframe_w, self.time_w_intervals, self.time_w_symbols)
if dataframe_M is not None:
self.tf_df_dict['1M'] = TF_DF(dataframe_M, 1, '1M')
self.init_data(dataframe_M, self.time_M_intervals, self.time_M_symbols)
@@ -79,13 +91,18 @@ class ChanLun():
if len(self.tf_df_dict) > 0:
return {key: self.tf_df_dict[key].get_current_klc() for key in self.ema_symbols}
return None
def get_tf_df_by_timeframe(self, timeframe):
if timeframe in self.tf_df_dict:
return self.tf_df_dict[timeframe]
return None
def check_price_ema52(self, price):
key_list = []
if len(self.tf_df_dict) > 0:
ema52_dict = self.get_ema52_dict()
for key in self.ema_symbols:
if abs(price - ema52_dict[key]) < 100:
key_list.append(key)
if ema52_dict[key] is not None:
if abs(price - ema52_dict[key]) < 100:
key_list.append(key)
return key_list