Multiple paire detection / limit 3

Zeus_8_3_2_B_4_2.py

@@ -156,18 +156,15 @@ class Zeus_8_3_2_B_4_2(IStrategy):
         pair: {
             "first_buy": 0,
             "last_max": 0,
-            "trade_info": {},
             "max_touch": 0.0,
             "last_sell": 0.0,
             "last_buy": 0.0,
+            'total_amount': 0.0,
             'count_of_buys': 0,
             'current_profit': 0,
-            'expected_profit': 0,
             "last_candle": {},
             "last_trade": None,
             "last_count_of_buys": 0,
-            'base_stake_amount': 0,
-            'stop_buy': False,
             'last_date': 0,
             'stop': False,
             'max_profit': 0,
@@ -279,6 +276,8 @@ class Zeus_8_3_2_B_4_2(IStrategy):
 
             stake_amount = self.adjust_stake_amount(pair, last_candle)
 
+            self.pairs[pair]['total_amount'] = stake_amount
+
             self.log_trade(
                 last_candle=last_candle,
                 date=current_time,
@@ -366,6 +365,7 @@ class Zeus_8_3_2_B_4_2(IStrategy):
         self.pairs[pair]['count_of_buys'] = count_of_buys
         self.pairs[pair]['current_profit'] = current_profit
         self.pairs[pair]['max_profit'] = max(self.pairs[pair]['max_profit'], current_profit)
+        self.pairs[pair]['total_amount'] = 0
 
         # if (last_candle['mid_smooth_deriv1'] >= 0):
         #     return None
@@ -929,9 +929,6 @@ class Zeus_8_3_2_B_4_2(IStrategy):
         days_since_open = (current_time_utc - open_date).days
         pair = trade.pair
 
-        if not self.should_enter_trade(pair):
-            return None
-
         pct_first = 0
         if self.pairs[pair]['first_buy']:
             pct_first = round((last_candle['close'] - self.pairs[pair]['first_buy']) / self.pairs[pair]['first_buy'], 3)
@@ -958,6 +955,9 @@ class Zeus_8_3_2_B_4_2(IStrategy):
             print("skip dataframe")
             return None
 
+        if not self.should_enter_trade(pair):
+            return None
+
         # if self.dp.runmode.value in ('dry_run'):
         #     if pair not in ('BTC/USDT', 'BTC/USDC', 'XRP/USDT', 'XRP/USDC', 'ETH/USDT', 'ETH/USDC', 'SOL/USDT', 'SOL/USDT'):
         #         # print(f"skip pair {pair}")
@@ -1094,6 +1094,7 @@ class Zeus_8_3_2_B_4_2(IStrategy):
 
                 trade_type = last_candle['enter_tag'] if last_candle['enter_long'] == 1 else 'pct48'
                 self.pairs[trade.pair]['count_of_buys'] += 1
+                self.pairs[pair]['total_amount'] += stake_amount
                 self.log_trade(
                     last_candle=last_candle,
                     date=current_time,
@@ -1110,6 +1111,19 @@ class Zeus_8_3_2_B_4_2(IStrategy):
                 self.pairs[trade.pair]['last_buy'] = current_rate
                 self.pairs[trade.pair]['max_touch'] = last_candle['close']
                 self.pairs[trade.pair]['last_candle'] = last_candle
+
+                # for pair, values in self.pairs.items():
+                #     print(f"\n{pair}")
+                #     for key, value in values.items():
+                #         print(f"  {key:20}: {value}")
+
+                df = pd.DataFrame.from_dict(self.pairs, orient='index')
+                colonnes_a_exclure = ['last_candle', 'last_trade', 'last_palier_index', 'stop']
+                df_filtered = df[df['count_of_buys'] > 0].drop(columns=colonnes_a_exclure)
+                # df_filtered = df_filtered["first_buy", "last_max", "max_touch", "last_sell","last_buy", 'count_of_buys', 'current_profit']
+
+                print(df_filtered)
+
                 return stake_amount
             except Exception as exception:
                 print(exception)
@@ -1720,28 +1734,26 @@ class Zeus_8_3_2_B_4_2(IStrategy):
         non_btc_pairs = [p for p in self.pairs if not p.startswith('BTC')]
 
         # Compter les positions actives sur les paires non-BTC
-        has_more_than_3 = False
+        max_nb_trades = 0
         total_non_btc = 0
+        max_pair      = ''
         for p in non_btc_pairs:
-            nb_trades = self.pairs[p]['count_of_buys']
+            max_nb_trades = max(max_nb_trades, self.pairs[p]['count_of_buys'])
-            if nb_trades > 0:
+            if (max_nb_trades == self.pairs[p]['count_of_buys'] and max_nb_trades > limit):
-                if nb_trades > limit and pair != p:
+                max_pair = p
-                    has_more_than_3 = True
+            total_non_btc += self.pairs[p]['count_of_buys']
-                total_non_btc += nb_trades
 
         this_pair_count = self.pairs[p]['count_of_buys']
 
-        if total_non_btc >= 12:
+        # if total_non_btc >= 12:
-            # print("total_non_btc > 10")
+        #     # print("total_non_btc > 10")
-            return False
-
-        if this_pair_count >= limit:
-            # Si une autre paire non-BTC a aussi >3 trades, blocage
-            # for other_pair, count in pair_counts.items():
-            #     if other_pair != pair and count >= 3:
         #     return False
-            if not has_more_than_3:
+
-                print(f"{pair} Cette paire est la seule avec >=3 / {this_pair_count}")
+        if max_pair != '':
-            return not has_more_than_3
+            #if this_pair_count >= limit:
+            # Si une autre paire non-BTC a aussi >3 trades, blocage
+            # if max_pair == pair:
+            #     print(f"{pair} Cette paire {max_pair} est la seule avec >=3 / {max_nb_trades}")
+            return max_pair == pair
         else:
             return True