souti/Freqtrade
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

modification can_buy

Browse Source
This commit is contained in:
Jérôme Delacotte
2025-07-24 13:47:54 +02:00
parent 96976e842d
commit d0ac71f60d
1 changed files with 4 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
Zeus_8_3_2_B_4_2.py
View File

@@ -182,7 +182,8 @@ class Zeus_8_3_2_B_4_2(IStrategy):
'last_date': 0, 'last_date': 0,
'stop': False, 'stop': False,
'max_profit': 0, 'max_profit': 0,
'last_palier_index': -1 'last_palier_index': -1,
'total_amount': 0
} }
for pair in ["BTC/USDC", "ETH/USDC", "DOGE/USDC", "XRP/USDC", "SOL/USDC", for pair in ["BTC/USDC", "ETH/USDC", "DOGE/USDC", "XRP/USDC", "SOL/USDC",
"BTC/USDT", "ETH/USDT", "DOGE/USDT", "XRP/USDT", "SOL/USDT"] "BTC/USDT", "ETH/USDT", "DOGE/USDT", "XRP/USDT", "SOL/USDT"]
@@ -951,8 +952,8 @@ class Zeus_8_3_2_B_4_2(IStrategy):
dataframe['can_sell'] = np.where(((dataframe['mid_smooth_1h_deriv1'].shift(2) <= dataframe['mid_smooth_1h_deriv1'].shift(1))\ dataframe['can_sell'] = np.where(((dataframe['mid_smooth_1h_deriv1'].shift(2) <= dataframe['mid_smooth_1h_deriv1'].shift(1))\
& (dataframe['mid_smooth_1h_deriv1'].shift(1) >= dataframe['mid_smooth_1h_deriv1'])), dataframe['close'], np.nan) & (dataframe['mid_smooth_1h_deriv1'].shift(1) >= dataframe['mid_smooth_1h_deriv1'])), dataframe['close'], np.nan)
dataframe['can_buy'] = np.where(((dataframe['mid_smooth_1h_deriv1'].shift(2) >= dataframe['mid_smooth_1h_deriv1'].shift(1))\ dataframe['can_buy'] = np.where(((dataframe['mid_smooth_12_deriv2'].shift(1) < 0)\
& (dataframe['mid_smooth_1h_deriv1'].shift(1) <= dataframe['mid_smooth_1h_deriv1'])), dataframe['close'], np.nan) & (dataframe['mid_smooth_12_deriv2'].shift(1) <= dataframe['mid_smooth_12_deriv2'])), dataframe['close'], np.nan)
dataframe['test'] = np.where(dataframe['enter_long'] == 1, dataframe['close'] * 1.01, np.nan) dataframe['test'] = np.where(dataframe['enter_long'] == 1, dataframe['close'] * 1.01, np.nan)
dataframe['perte_02'] = np.where((dataframe['percent3'] * 100 < -0.2), dataframe['close'], np.nan) dataframe['perte_02'] = np.where((dataframe['percent3'] * 100 < -0.2), dataframe['close'], np.nan)