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Calcul 20240101-20250514 1204$ 276.5$

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Jérôme Delacotte
2025-05-22 13:46:20 +02:00
parent 5a67253624
commit 14dd2080be
2 changed files with 1377 additions and 1336 deletions
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11
Zeus_8_3_2_B_4_2.py
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@@ -880,8 +880,8 @@ class Zeus_8_3_2_B_4_2(IStrategy):
# & (dataframe['deriv2_1h'].shift(1) <= dataframe['deriv2_1h']) # & (dataframe['deriv2_1h'].shift(1) <= dataframe['deriv2_1h'])
# (dataframe['deriv1_1h'] >= -0.01) # (dataframe['deriv1_1h'] >= -0.01)
# & (dataframe['deriv2_1h'] >= -0.00) # & (dataframe['deriv2_1h'] >= -0.00)
(dataframe['mid_smooth_1h_deriv1'].shift(1) <= 0) (dataframe['mid_smooth_3_deriv1'].shift(2) >= dataframe['mid_smooth_3_deriv1'].shift(1))
& (dataframe['mid_smooth_1h_deriv1'] >= 0) & (dataframe['mid_smooth_3_deriv1'].shift(1) <= dataframe['mid_smooth_3_deriv1'])
# #
# #
# (dataframe['mid_smooth_1h_deriv1'] >= 0) # (dataframe['mid_smooth_1h_deriv1'] >= 0)
@@ -1130,9 +1130,10 @@ class Zeus_8_3_2_B_4_2(IStrategy):
# if (days_since_open > count_of_buys) & (0 < count_of_buys <= max_buys) & (current_rate <= limit) & (last_candle['enter_long'] == 1): # if (days_since_open > count_of_buys) & (0 < count_of_buys <= max_buys) & (current_rate <= limit) & (last_candle['enter_long'] == 1):
condition = (last_candle['enter_long'] == 1 & count_of_buys < 3) \ condition = True
or ((before_last_candle['mid_re_smooth_3_deriv1'] <= 0) & (last_candle['mid_re_smooth_3_deriv1'] >= 0) & 3 <= count_of_buys < 6) \ # (last_candle['enter_long'] == 1 & (count_of_buys < 3)) \
or ((before_last_candle['mid_smooth_1h'] <= 0) & (last_candle['mid_smooth_1h'] >= 0) & 6 <= count_of_buys) # or ((before_last_candle['mid_re_smooth_3_deriv1'] <= 0) & (last_candle['mid_re_smooth_3_deriv1'] >= 0) & (3 <= count_of_buys < 6)) \
# or ((before_last_candle['mid_smooth_1h_deriv1'] <= 0) & (last_candle['mid_smooth_1h_deriv1'] >= 0) & (6 <= count_of_buys))
limit_buy = 20 limit_buy = 20
if (count_of_buys < limit_buy) and condition and (pct_max < lim): # and val > self.buy_val_adjust.value and last_candle['mid_smooth_deriv1_1d'] > - 1): if (count_of_buys < limit_buy) and condition and (pct_max < lim): # and val > self.buy_val_adjust.value and last_candle['mid_smooth_deriv1_1d'] > - 1):

2702
Zeus_8_3_2_B_4_2_Bilan.txt
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