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Calcul 20250101-20250714 836.946 154.99$

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Jérôme Delacotte
2025-09-13 18:31:11 +02:00
parent 82391fcde1
commit 7f0e4905bf
2 changed files with 1645 additions and 1148 deletions
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18
Zeus_8_3_2_B_4_2.py
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@@ -674,6 +674,7 @@ class Zeus_8_3_2_B_4_2(IStrategy):
# print(metadata['pair'])
dataframe['rsi'] = talib.RSI(dataframe['close'], timeperiod=14)
dataframe['max_rsi_12'] = talib.MAX(dataframe['rsi'], timeperiod=12)
self.calculeDerivees(dataframe, 'rsi')
dataframe['max48'] = talib.MAX(dataframe['close'], timeperiod=48)
@@ -716,6 +717,7 @@ class Zeus_8_3_2_B_4_2(IStrategy):
informative['close']
self.calculeDerivees(informative, 'atr')
informative['rsi'] = talib.RSI(informative['close']) # , timeperiod=7)
informative['sma5'] = talib.SMA(informative, timeperiod=5)
informative['sma24'] = talib.SMA(informative, timeperiod=24)
self.calculeDerivees(informative, 'sma5')
@@ -1002,6 +1004,7 @@ class Zeus_8_3_2_B_4_2(IStrategy):
valid_inversion & inversion_last5
& (dataframe['hapercent'] > 0)
& (dataframe['max_rsi_12'] < 70)
# valid_inversion
# ((dataframe['bb_cross_down'] < - 0.1)
@@ -1470,7 +1473,6 @@ class Zeus_8_3_2_B_4_2(IStrategy):
base_stake_amount = self.config.get('stake_amount') # Montant de base configuré
# pct60 = round(100 * self.getPctClose60D(pair, last_candle), 2)
if not pair in ('BTC/USDT', 'BTC/USDC'):
# factors = [1, 1.2, 1.3, 1.4]
if self.pairs[pair]['count_of_buys'] == 0:
@@ -2125,7 +2127,17 @@ class Zeus_8_3_2_B_4_2(IStrategy):
self.should_enter_trade_count = 0
if max_pair != '' :
return max_pair == pair or pct_max < - 0.25
# if max_pair != pair and self.pairs[pair]['total_amount'] > 300:
# return False
if (max_pair != ''): # & (self.pairs[pair]['count_of_buys'] >= limit - 1) :
trade = self.pairs[max_pair]['current_trade']
current_time = current_time.astimezone(timezone.utc)
open_date = trade.open_date.astimezone(timezone.utc)
current_time_utc = current_time.astimezone(timezone.utc)
days_since_open = (current_time_utc - open_date).days
pct_max_max = self.getPctFirstBuy(max_pair, last_candle)
# print(f"days_since_open {days_since_open} max_pair={max_pair} pair={pair}")
return max_pair == pair or pct_max < - 0.25 or (pct_max_max < - 0.15 and max_pair != pair and days_since_open > 60)
else:
return True