import numpy as np from datetime import datetime class BuySell_Daily: def countYangBong(self, data, i): count = 0 for c in range(5): if data['open'][i-c] < data['close'][i-c]: count += 1 return count def getBuyPrice(self, data, i, BS=None): buy_ymd, buy_price, buy_count, buy_weight, buy_type, buy_cut = None, 0, 0, 1, '', None tmp_buy_ymd, tmp_buy_price, tmp_buy_count, tmp_buy_type, tmp_buy_cut = self.getBuyPrice_ichimok_changeLine(data, i, BS) if 0 < tmp_buy_count: buy_ymd = tmp_buy_ymd; buy_price = tmp_buy_price; buy_count = tmp_buy_count; buy_type = tmp_buy_type; buy_cut = tmp_buy_cut tmp_buy_ymd, tmp_buy_price, tmp_buy_count, tmp_buy_type, tmp_buy_cut = self.getBuyPrice_ichimok_baseLine(data, i, BS) if 0 < tmp_buy_count: buy_ymd = tmp_buy_ymd; buy_price = tmp_buy_price; buy_count = tmp_buy_count; buy_type = tmp_buy_type; buy_cut = tmp_buy_cut tmp_buy_ymd, tmp_buy_price, tmp_buy_count, tmp_buy_type, tmp_buy_cut = self.getBuyPrice_ichimok_laggingSpan(data, i, BS) if 0 < tmp_buy_count: buy_ymd = tmp_buy_ymd; buy_price = tmp_buy_price; buy_count = tmp_buy_count; buy_type = tmp_buy_type; buy_cut = tmp_buy_cut return buy_ymd, buy_price, buy_count, buy_type, buy_cut def getSellPrice(self, data, i, BS=None): sell_price, sell_count, sell_type = 0, 1, '' sell_type_list = [] tmp_sell_price, tmp_sell_type_list = self.getSellPrice_ichimok_baseLine(data, i, BS) sell_type_list += tmp_sell_type_list sell_price = tmp_sell_price if 0 < len(sell_type_list) or 0 < sell_price: sell_type = ','.join(list(set(sell_type_list))) return sell_price, sell_count, sell_type def getBuyPrice_ichimok_changeLine(self, data, i, BS=None): buy_ymd, buy_price, buy_count, buy_weight, buy_type, buy_cut = None, 0, 0, 1, '', None check = False id9, id26, id33, id52 = 8, 25, 32, 51 if 5 < i: # 신저가를 갱신하지 않으면서 전환선이 떨어질 때 주가는 올라감 (기준선은 횡보, 현재 봉이 신저가가 이닐 때) # --> 기준선이 계속 횡보하거나 떨어지면 상승하지는 않는다. # https://www.youtube.com/watch?v=KZMP0Ssv8WI&t=432s (8:45) if data['new_low_9'][i] == 0: if data['changeLine'][i] < data['baseLine'][i]: if data['changeLine'][i] < data['changeLine'][i-1] and np.min(data['close'][i-8:i]) < data['close'][i]: if data['baseLine'][i-1] == data['baseLine'][i] < data['baseLine'][i-2]: if 3 < self.countYangBong(data, i): check = True buy_type = "ichimok_changeLine_1" buy_weight = 5 buy_cut = min(np.min(data['open'][i - 60:i]), np.min(data['close'][i - 60:i])) if data['new_high_9'][i] == 1: if data['changeLine'][i-1] < data['changeLine'][i] and data['baseLine'][i-1] < data['baseLine'][i]: if data['baseLine'][i - 1] != data['baseLine'][i]: if 0.2 < data['leadingSpan1_leadingSpan2_diff_rate'][i+id52]: check = True buy_type = "ichimok_changeLine_2" buy_weight = 10 buy_cut = min(np.min(data['open'][i - 60:i]), np.min(data['close'][i - 60:i])) if data['new_high_26'][i] == 1: for c in range(i-15, i): if data['changeLine'][c-1] < data['baseLine'][c] and data['baseLine'][i-1] < data['changeLine'][i]: if 0.2 < data['leadingSpan1_leadingSpan2_diff_rate'][i + id52]: check = True buy_type = "ichimok_changeLine_3" buy_weight = 10 buy_cut = min(np.min(data['open'][i - 60:i]), np.min(data['close'][i - 60:i])) break if check: buy_ymd = data['ymd'][i] buy_price = data['close'][i] buy_count = buy_weight return buy_ymd, buy_price, buy_count, buy_type, buy_cut """""""""""""""""" """""""""""""""""" def getBuyPrice_ichimok_baseLine(self, data, i, BS=None): buy_ymd, buy_price, buy_count, buy_weight, buy_type, buy_cut = None, 0, 0, 1, '', None check = False id9, id26, id33, id52 = 9, 26, 33, 52 if 5 < i: # 기준선이 하락할 때, 전환선이 상승하는 경우를 중기 추세의 변곡이라 한다 if data['changeLine'][i-1] < data['changeLine'][i] and data['baseLine'][i] < data['baseLine'][i-1]: if data['changeLine'][i - 1] < data['baseLine'][i-1] and data['baseLine'][i] < data['changeLine'][i]: if data['open'][i] < data['close'][i]: if 3 < self.countYangBong(data, i): check = True buy_type = "ichimok_baseLine_1" buy_weight = 5 buy_cut = min(np.min(data['open'][i - 60:i]), np.min(data['close'][i - 60:i])) # 기준선이 평행 때, 전환선이 상승하는 경우를 중기 추세의 변곡이라 한다 if data['changeLine'][i-1] < data['changeLine'][i] and data['baseLine'][i-3] == data['baseLine'][i-2] == data['baseLine'][i-1] == data['baseLine'][i]: if data['changeLine'][i - 1] < data['baseLine'][i-1] and data['baseLine'][i] < data['changeLine'][i]: if data['open'][i] < data['close'][i]: if 3 < self.countYangBong(data, i): check = True buy_type = "ichimok_baseLine_1" buy_weight = 5 buy_cut = min(np.min(data['open'][i - 60:i]), np.min(data['close'][i - 60:i])) if check: buy_ymd = data['ymd'][i] buy_price = data['close'][i] buy_count = buy_weight return buy_ymd, buy_price, buy_count, buy_type, buy_cut """""""""""""""""" """""""""""""""""" def getBuyPrice_ichimok_laggingSpan(self, data, i, BS): buy_ymd, buy_price, buy_count, buy_weight, buy_type, buy_cut = None, 0, 0, 1, '', None check = False if 5 < i: if data['laggingSpan_close_diff_rate'][i-1] <= 0 and 0 < data['laggingSpan_close_diff_rate'][i]: check = True buy_price = data['close'][i] buy_count = buy_weight buy_weight = 2 buy_type = 'laggingSpan1' if 0 <= data['laggingSpan_avg60_diff_rate'][i-1] and data['laggingSpan_avg60_diff_rate'][i] < 0: check = True buy_price = data['close'][i] buy_count = buy_weight buy_weight = 2 buy_type = 'laggingSpan2' if check: buy_price = data['close'][i] buy_count = buy_weight return buy_ymd, buy_price, buy_count, buy_type, buy_cut """""""""""""""""" """""""""""""""""" def getSellPrice_ichimok_baseLine(self, data, i, BS=None): sell_price = 0 sell_type_list = [] check = False id26, id52 = 26, 52 if data['new_high_9'][i] == 0: if data['baseLine'][i-1] < data['baseLine'][i] and data['changeLine'][i] < data['changeLine'][i-1]: check = True sell_type_list.append('ichimok_baseLine') if check: sell_price = data['close'][i] return sell_price, sell_type_list