diff --git a/Empty.json b/Empty.json
index 808716a..6d39cca 100644
--- a/Empty.json
+++ b/Empty.json
@@ -17,21 +17,20 @@
       "max_open_trades": 20
     },
     "buy": {
-      "buy_deriv1_sma12d": -0.01,
-      "buy_deriv1_sma5d": -0.03,
-      "buy_deriv1_sma60": 0.0,
-      "buy_deriv2_sma12d": -0.07,
-      "buy_deriv2_sma5d": -0.04,
-      "buy_deriv2_sma60": 0.002
+        "buy_deriv1_sma12d": -0.06,
+        "buy_deriv1_sma5d": -0.01,
+        "buy_deriv1_sma60": -0.003,
+        "buy_deriv2_sma12d": 0.0,
+        "buy_deriv2_sma5d": -0.07,
+        "buy_deriv2_sma60": -0.004
     },
     "protection": {
-
       "drop_from_last_entry": 0.0
     },
     "sell": {
-      "sell_crossed_sma_indicators": "sma5_1d",
-      "sell_score_indicator": "sma5_score",
-      "sell_sma_indicators": "sma12_1d"
+      "sell_crossed_sma_indicators": "sma60",
+      "sell_score_indicator": "sma60_score",
+      "sell_sma_indicators": "sma48_1d"
     }
   },
   "ft_stratparam_v": 1,
diff --git a/Empty.py b/Empty.py
index b1a76a1..a1563ab 100644
--- a/Empty.py
+++ b/Empty.py
@@ -550,9 +550,14 @@ class Empty(IStrategy):
             and (last_candle['sma12_deriv1_1d'] < 0.001 \
             or last_candle['sma12_deriv2_1d'] < 0.001) else True
 
-        if condition and last_candle['range_pos'] > 0.05:# and self.pairs[pair]['force_stop']:
-            condition = last_candle['sma5'] > last_candle['sma60']
-
+        reason = ''
+        if not condition:
+            reason = 'lost'
+        if condition:
+            if last_candle['range_pos'] > 0.05:# and self.pairs[pair]['force_stop']:
+                condition = last_candle['sma5'] > last_candle['sma60']
+            if not condition:
+                reason = 'range'
         # if self.pairs[pair]['force_stop'] and last_candle['range_pos'] < 0.02:
         #     self.pairs[pair]['force_stop'] = False
 
@@ -569,6 +574,8 @@ class Empty(IStrategy):
             print(f"Cool close date = trade={self.pairs[pair]['last_trade'].close_date} down {round(self.pairs[pair]['last_profit'], 3)} {cooldown_candles} {candles_since_close}")
 
         # self.should_enter_trade(pair, last_candle, current_time)
+        if self.pairs[pair]['stop']:
+            reason = 'stop'
         allow_to_buy = (condition and not self.pairs[pair]['stop']) | (entry_tag == 'force_entry')
 
         # force = self.pairs[pair]['force_buy']
@@ -578,6 +585,7 @@ class Empty(IStrategy):
         # else:
         #     if not self.should_enter_trade(pair, last_candle, current_time):
         #         allow_to_buy = False
+        dispo = round(self.wallets.get_available_stake_amount())
 
         if allow_to_buy:
             self.pairs[pair]['first_buy'] = rate
@@ -592,7 +600,6 @@ class Empty(IStrategy):
             self.pairs[pair]['last_min'] = min(last_candle['close'], self.pairs[pair]['last_min'])
             self.pairs[pair]['last_date'] = current_time
 
-            dispo = round(self.wallets.get_available_stake_amount())
             # self.printLineLog()
 
             stake_amount = self.adjust_stake_amount(pair, last_candle)
@@ -612,7 +619,19 @@ class Empty(IStrategy):
                 buys=1,
                 stake=round(stake_amount, 2)
             )
-
+        else:
+            self.log_trade(
+                last_candle=last_candle,
+                date=current_time,
+                action=("🟩Buy" if allow_to_buy else "Canceled") + " " + reason,
+                pair=pair,
+                rate=rate,
+                dispo=dispo,
+                profit=0,
+                trade_type=entry_tag,
+                buys=1,
+                stake=0
+            )
         return allow_to_buy
 
     def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float, rate: float,
@@ -710,12 +729,12 @@ class Empty(IStrategy):
 
         cross = qtpylib.crossed_below(dataframe[self.sell_sma_indicators.value], dataframe[self.sell_crossed_sma_indicators.value])
 
-        if profit > 0 and cross.iloc[-1]:
-            self.pairs[pair]['force_sell'] = True
-            return 'Cross'
+        # if profit > 0 and cross.iloc[-1]:
+        #     self.pairs[pair]['force_sell'] = True
+        #     return 'Cross'
 
-        if profit > max(5, expected_profit) and baisse > 0.30 and last_candle[f"close"] <= last_candle['sma5']\
-                and last_candle['percent3'] < 0 and last_candle['percent5'] < 0:
+        if profit > max(5, expected_profit) and baisse > 0.30 and last_candle[f"close"] <= last_candle['sma36']:
+                # and last_candle['percent3'] < 0 and last_candle['percent5'] < 0:
             self.pairs[pair]['force_sell'] = True
             return 'B30'
 
@@ -832,7 +851,9 @@ class Empty(IStrategy):
             informative[f"sma{timeperiod}"] = informative['mid'].ewm(span=timeperiod, adjust=False).mean()
             self.calculeDerivees(informative, f"sma{timeperiod}", timeframe=self.timeframe, ema_period=timeperiod)
 
+        informative[f"sma200"] = informative['mid'].ewm(span=200, adjust=False).mean()
         informative['rsi'] = talib.RSI(informative['close'], timeperiod=14)
+        self.calculeDerivees(informative, f"rsi", timeframe=self.timeframe, ema_period=14)
         informative['max_rsi_12'] = talib.MAX(informative['rsi'], timeperiod=12)
         informative['max_rsi_24'] = talib.MAX(informative['rsi'], timeperiod=24)
 
@@ -848,6 +869,7 @@ class Empty(IStrategy):
 
         dataframe[f'stop_buying'] = qtpylib.crossed_below(dataframe[f"sma12"], dataframe['sma48'])
 
+        dataframe['atr'] = talib.ATR(dataframe)
         dataframe['rsi'] = talib.RSI(dataframe['close'], timeperiod=14)
         dataframe['max_rsi_12'] = talib.MAX(dataframe['rsi'], timeperiod=12)
         dataframe['max_rsi_24'] = talib.MAX(dataframe['rsi'], timeperiod=24)
@@ -919,15 +941,17 @@ class Empty(IStrategy):
 
         #conditions.append((dataframe[self.stop_buying_indicator.value] == False) | (dataframe['range_pos'] < 0))
 
-        conditions.append(dataframe['sma60_deriv1'] > self.buy_deriv1_sma60.value)
+        conditions.append(dataframe['sma12_deriv1'] > self.buy_deriv1_sma60.value)
         conditions.append(dataframe['sma5_deriv1_1d'] > self.buy_deriv1_sma5d.value)
         conditions.append(dataframe['sma12_deriv1_1d'] > self.buy_deriv1_sma12d.value)
 
-        conditions.append(dataframe['sma60_deriv2'] > self.buy_deriv1_sma60.value)
-        conditions.append(dataframe['sma5_deriv2_1d'] > self.buy_deriv1_sma5d.value)
-        conditions.append(dataframe['sma12_deriv2_1d'] > self.buy_deriv1_sma12d.value)
+        conditions.append(dataframe['sma12_deriv2'] > self.buy_deriv2_sma60.value)
+        conditions.append(dataframe['sma5_deriv2_1d'] > self.buy_deriv2_sma5d.value)
+        conditions.append(dataframe['sma12_deriv2_1d'] > self.buy_deriv2_sma12d.value)
 
         conditions.append(dataframe['hapercent'] > 0)
+        # conditions.append(dataframe['percent12'] < 0.01)
+        # conditions.append(dataframe['percent5'] < 0.01)
         conditions.append(dataframe['max_rsi_24'] < 80)
         conditions.append((dataframe['max_rsi_12_1d'] < 65))\
         # | (
@@ -938,6 +962,8 @@ class Empty(IStrategy):
         conditions.append(dataframe[f"close"] > dataframe['sma60'])
         conditions.append(((dataframe[f"range_pos"] < 0.05) ) | ((dataframe['sma12_deriv1'] > 0) & (dataframe['sma12_deriv2'] > 0)))
 
+        conditions.append(dataframe['close_1d'] > dataframe['sma200_1d'])
+
         # print(f"BUY indicators tested \n"
         #       f"{self.buy_indicator0.value} {self.buy_crossed_indicator0.value} {self.buy_operator0.value} {self.buy_real_num0.value} \n"
         #       f"{self.buy_indicator1.value} {self.buy_crossed_indicator1.value} {self.buy_operator1.value} {self.buy_real_num1.value} \n"
@@ -1031,17 +1057,17 @@ class Empty(IStrategy):
         series = dataframe[f"{name}{suffixe}"]
         d1 = series.diff()
         d2 = d1.diff()
-        cond_bas = (d1.rolling(3).mean() > d1.rolling(10).mean())
-        cond_haut = (d1.rolling(3).mean() < d1.rolling(10).mean())
-
+        pmin = int(ema_period / 3)
+        cond_bas = (d1.rolling(pmin).mean() > d1.rolling(ema_period).mean())
+        cond_haut = (d1.rolling(pmin).mean() < d1.rolling(ema_period).mean())
 
         dataframe[d1_col] = (dataframe[name] - dataframe[name].shift(3)) / dataframe[name].shift(3)
         dataframe[d2_col] = (dataframe[d1_col] - dataframe[d1_col].shift(1))
 
         dataframe[f"{name}{suffixe}_inv"] = np.where(cond_bas, -1, np.where(cond_haut, 1, 0))
 
-        short = d1.rolling(3).mean()
-        long = d1.rolling(10).mean()
+        short = d1.rolling(pmin).mean()
+        long = d1.rolling(ema_period).mean()
 
         spread = short - long
         zscore = (spread - spread.rolling(ema_period).mean()) / spread.rolling(ema_period).std()
@@ -1131,13 +1157,13 @@ class Empty(IStrategy):
                 f"{'rsi':>6}|"
             )
             self.printLineLog()
-            df = pd.DataFrame.from_dict(self.pairs, orient='index')
-            colonnes_a_exclure = ['last_candle',
-                                  'trade_info', 'last_date', 'last_count_of_buys', 'base_stake_amount', 'stop_buy']
-            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)
+            # df = pd.DataFrame.from_dict(self.pairs, orient='index')
+            # colonnes_a_exclure = ['last_candle',
+            #                       'trade_info', 'last_date', 'last_count_of_buys', 'base_stake_amount', 'stop_buy']
+            # 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)
 
         self.columns_logged += 1
         date = str(date)[:16] if date else "-"
diff --git a/Empty.txt b/Empty.txt
index 544c1ed..bdb4590 100644
--- a/Empty.txt
+++ b/Empty.txt
@@ -1,125 +1,154 @@
-                                               BACKTESTING REPORT
-┏━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
-┃     Pair ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃    Avg Duration ┃  Win  Draw  Loss  Win% ┃
-┡━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
-│ BTC/USDT │     62 │         1.43 │        1238.641 │       123.86 │ 2 days, 2:15:00 │   43     0    19  69.4 │
-│    TOTAL │     62 │         1.43 │        1238.641 │       123.86 │ 2 days, 2:15:00 │   43     0    19  69.4 │
-└──────────┴────────┴──────────────┴─────────────────┴──────────────┴─────────────────┴────────────────────────┘
-                                         LEFT OPEN TRADES REPORT
-┏━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
-┃  Pair ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃ Avg Duration ┃  Win  Draw  Loss  Win% ┃
-┡━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
-│ TOTAL │      0 │          0.0 │           0.000 │          0.0 │         0:00 │    0     0     0     0 │
-└───────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────┴────────────────────────┘
-                                                 ENTER TAG STATS
-┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
-┃ Enter Tag ┃ Entries ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃    Avg Duration ┃  Win  Draw  Loss  Win% ┃
-┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
-│       god │      62 │         1.43 │        1238.641 │       123.86 │ 2 days, 2:15:00 │   43     0    19  69.4 │
-│     TOTAL │      62 │         1.43 │        1238.641 │       123.86 │ 2 days, 2:15:00 │   43     0    19  69.4 │
-└───────────┴─────────┴──────────────┴─────────────────┴──────────────┴─────────────────┴────────────────────────┘
-                                                 EXIT REASON STATS
-┏━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
-┃ Exit Reason ┃ Exits ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃     Avg Duration ┃  Win  Draw  Loss  Win% ┃
-┡━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
-│         B30 │    35 │         3.04 │        1581.248 │       158.12 │ 2 days, 16:26:00 │   35     0     0   100 │
-│       Cross │     8 │         3.56 │         515.637 │        51.56 │   1 day, 8:45:00 │    8     0     0   100 │
-│       sma60 │    19 │        -2.44 │        -858.244 │       -85.82 │   1 day, 7:32:00 │    0     0    19     0 │
-│       TOTAL │    62 │         1.43 │        1238.641 │       123.86 │  2 days, 2:15:00 │   43     0    19  69.4 │
-└─────────────┴───────┴──────────────┴─────────────────┴──────────────┴──────────────────┴────────────────────────┘
-                                                        MIXED TAG STATS
-┏━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
-┃ Enter Tag ┃ Exit Reason ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃     Avg Duration ┃  Win  Draw  Loss  Win% ┃
-┡━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
-│       god │         B30 │     35 │         3.04 │        1581.248 │       158.12 │ 2 days, 16:26:00 │   35     0     0   100 │
-│       god │       Cross │      8 │         3.56 │         515.637 │        51.56 │   1 day, 8:45:00 │    8     0     0   100 │
-│       god │       sma60 │     19 │        -2.44 │        -858.244 │       -85.82 │   1 day, 7:32:00 │    0     0    19     0 │
-│     TOTAL │             │     62 │         1.43 │        1238.641 │       123.86 │  2 days, 2:15:00 │   43     0    19  69.4 │
-└───────────┴─────────────┴────────┴──────────────┴─────────────────┴──────────────┴──────────────────┴────────────────────────┘
-                                 MONTH BREAKDOWN
-┏━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓
-┃      Month ┃ Trades ┃ Tot Profit USDT ┃ Profit Factor ┃  Win  Draw  Loss  Win% ┃
-┡━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩
-│ 31/01/2024 │      5 │          56.121 │          2.03 │    3     0     2  60.0 │
-│ 29/02/2024 │      0 │               0 │           0.0 │    0     0     0     0 │
-│ 31/03/2024 │      2 │         429.112 │           0.0 │    2     0     0   100 │
-│ 30/04/2024 │      5 │          -0.991 │          0.99 │    3     0     2  60.0 │
-│ 31/05/2024 │      3 │          52.358 │          2.65 │    2     0     1  66.7 │
-│ 30/06/2024 │      3 │          14.301 │          1.44 │    2     0     1  66.7 │
-│ 31/07/2024 │      2 │           59.63 │           2.6 │    1     0     1  50.0 │
-│ 31/08/2024 │      1 │           65.81 │           0.0 │    1     0     0   100 │
-│ 30/09/2024 │      6 │          46.406 │           1.6 │    4     0     2  66.7 │
-│ 31/10/2024 │      2 │          70.475 │           0.0 │    2     0     0   100 │
-│ 30/11/2024 │      0 │               0 │           0.0 │    0     0     0     0 │
-│ 31/12/2024 │      0 │               0 │           0.0 │    0     0     0     0 │
-│ 31/01/2025 │      7 │         146.962 │          3.83 │    6     0     1  85.7 │
-│ 28/02/2025 │      0 │               0 │           0.0 │    0     0     0     0 │
-│ 31/03/2025 │      5 │          -23.06 │          0.73 │    3     0     2  60.0 │
-│ 30/04/2025 │      2 │          43.195 │          1.89 │    1     0     1  50.0 │
-│ 31/05/2025 │      0 │               0 │           0.0 │    0     0     0     0 │
-│ 30/06/2025 │      2 │          27.632 │          1.57 │    1     0     1  50.0 │
-│ 31/07/2025 │      2 │          81.245 │           3.0 │    1     0     1  50.0 │
-│ 31/08/2025 │      3 │         123.165 │           0.0 │    3     0     0   100 │
-│ 30/09/2025 │      4 │          41.089 │          1.85 │    3     0     1  75.0 │
-│ 31/10/2025 │      4 │         137.411 │          3.73 │    3     0     1  75.0 │
-│ 30/11/2025 │      0 │               0 │           0.0 │    0     0     0     0 │
-│ 31/12/2025 │      2 │        -171.727 │           0.0 │    0     0     2     0 │
-│ 31/01/2026 │      2 │          39.506 │           0.0 │    2     0     0   100 │
-└────────────┴────────┴─────────────────┴───────────────┴────────────────────────┘
+👉 Cette version est objectivement supérieure.
+
+Même si le CAGR bouge légèrement, tout le reste s’améliore fortement.
+
+📊 Comparaison claire
+Metric	Avant	Maintenant
+Trades	95	53
+CAGR	21.38%	22.45%
+Profit Factor	1.89	2.85
+SQN	1.87	2.38
+Winrate	48%	62%
+Max DD	21.97%	7.37%
+DD duration	309 jours	28 jours
+Calmar	7.08	22.51
+🔥 Ce que ça veut dire
+
+Le filtre structurel (SMA200 1D) a fait exactement ce qu’on attendait :
+
+Moins de trades
+
+Beaucoup moins de trades pourris
+
+Equity beaucoup plus lisse
+
+Bear market 2022 quasiment neutralisé
+
+Et surtout :
+
+👉 Le drawdown long a disparu.
+
+C’est LE point critique.
+
+🧠 Lecture professionnelle
+
+Cette version est :
+
+Plus robuste
+
+Plus stable
+
+Plus exploitable en réel
+
+Psychologiquement viable
+
+Un DD de 309 jours casse un trader.
+Un DD de 28 jours est gérable.
+
+🎯 Ce qui est très intéressant
+
+Regarde ça :
+
+Worst trade passe de -4.55% → -4.10%
+
+Profit factor explose à 2.85
+
+Expectancy 24.77 (énorme)
+
+Ça veut dire que :
+
+👉 Tu trades maintenant uniquement les phases vraiment favorables.
+
+📉 Le “un peu moins de gain”
+
+En réalité ton CAGR est même légèrement plus haut (22.45 vs 21.38).
+
+Mais même si c’était un peu plus bas :
+
+Réduire le drawdown de 22% à 7% vaut largement 2–3% de CAGR.
+
+Toujours.
+
+🧠 Ce que tu viens de faire
+
+Tu as transformé une stratégie :
+
+Opportuniste
+
+en
+
+Régime-aware
+
+Et ça change tout.
+
+⚠️ Maintenant la vraie question
+
+Veux-tu :
+
+🔬 Tester robustness (walk-forward)
+
+📈 Ajouter un léger boost de performance
+
+⚖️ Ajouter un sizing adaptatif selon régime
+
+🚀 Ajouter un second actif
+
+Parce que là, on est à l’étape “optimisation fine”, plus “réparation”.
+
                           SUMMARY METRICS
 ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
 ┃ Metric                        ┃ Value                           ┃
 ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
-│ Backtesting from              │ 2024-01-01 00:00:00             │
-│ Backtesting to                │ 2026-02-25 00:00:00             │
+│ Backtesting from              │ 2022-01-01 00:00:00             │
+│ Backtesting to                │ 2026-02-20 00:00:00             │
 │ Trading Mode                  │ Spot                            │
 │ Max open trades               │ 1                               │
 │                               │                                 │
-│ Total/Daily Avg Trades        │ 62 / 0.08                       │
+│ Total/Daily Avg Trades        │ 53 / 0.04                       │
 │ Starting balance              │ 1000 USDT                       │
-│ Final balance                 │ 2238.641 USDT                   │
-│ Absolute profit               │ 1238.641 USDT                   │
-│ Total profit %                │ 123.86%                         │
-│ CAGR %                        │ 45.39%                          │
-│ Sortino                       │ 1.74                            │
-│ Sharpe                        │ 0.45                            │
-│ Calmar                        │ 32.84                           │
-│ SQN                           │ 2.31                            │
-│ Profit factor                 │ 2.44                            │
-│ Expectancy (Ratio)            │ 19.98 (0.44)                    │
-│ Avg. daily profit             │ 1.576 USDT                      │
-│ Avg. stake amount             │ 1797.064 USDT                   │
-│ Total trade volume            │ 224523.232 USDT                 │
+│ Final balance                 │ 2312.665 USDT                   │
+│ Absolute profit               │ 1312.665 USDT                   │
+│ Total profit %                │ 131.27%                         │
+│ CAGR %                        │ 22.45%                          │
+│ Sortino                       │ 1.81                            │
+│ Sharpe                        │ 0.22                            │
+│ Calmar                        │ 22.51                           │
+│ SQN                           │ 2.38                            │
+│ Profit factor                 │ 2.85                            │
+│ Expectancy (Ratio)            │ 24.77 (0.70)                    │
+│ Avg. daily profit             │ 0.869 USDT                      │
+│ Avg. stake amount             │ 1534.128 USDT                   │
+│ Total trade volume            │ 164258.371 USDT                 │
 │                               │                                 │
-│ Best Pair                     │ BTC/USDT 123.86%                │
-│ Worst Pair                    │ BTC/USDT 123.86%                │
+│ Best Pair                     │ BTC/USDT 131.27%                │
+│ Worst Pair                    │ BTC/USDT 131.27%                │
 │ Best trade                    │ BTC/USDT 38.19%                 │
-│ Worst trade                   │ BTC/USDT -4.55%                 │
-│ Best day                      │ 403.713 USDT                    │
-│ Worst day                     │ -108.048 USDT                   │
-│ Days win/draw/lose            │ 42 / 675 / 18                   │
-│ Min/Max/Avg. Duration Winners │ 0d 06:00 / 26d 20:00 / 2d 10:32 │
-│ Min/Max/Avg. Duration Losers  │ 0d 02:00 / 5d 12:00 / 1d 07:32  │
-│ Max Consecutive Wins / Loss   │ 10 / 3                          │
+│ Worst trade                   │ BTC/USDT -4.10%                 │
+│ Best day                      │ 422.364 USDT                    │
+│ Worst day                     │ -51.652 USDT                    │
+│ Days win/draw/lose            │ 33 / 901 / 19                   │
+│ Min/Max/Avg. Duration Winners │ 1d 03:00 / 28d 16:00 / 5d 13:35 │
+│ Min/Max/Avg. Duration Losers  │ 0d 01:00 / 6d 10:00 / 1d 13:21  │
+│ Max Consecutive Wins / Loss   │ 9 / 3                           │
 │ Rejected Entry signals        │ 0                               │
 │ Entry/Exit Timeouts           │ 0 / 0                           │
 │                               │                                 │
-│ Min balance                   │ 1048.079 USDT                   │
-│ Max balance                   │ 2421.125 USDT                   │
-│ Max % of account underwater   │ 9.17%                           │
-│ Absolute drawdown             │ 221.99 USDT (9.17%)             │
-│ Drawdown duration             │ 46 days 16:00:00                │
-│ Profit at drawdown start      │ 1421.125 USDT                   │
-│ Profit at drawdown end        │ 1199.135 USDT                   │
-│ Drawdown start                │ 2025-10-27 00:00:00             │
-│ Drawdown end                  │ 2025-12-12 16:00:00             │
-│ Market change                 │ 51.20%                          │
+│ Min balance                   │ 1003.126 USDT                   │
+│ Max balance                   │ 2361.69 USDT                    │
+│ Max % of account underwater   │ 8.27%                           │
+│ Absolute drawdown             │ 116.751 USDT (7.37%)            │
+│ Drawdown duration             │ 28 days 14:00:00                │
+│ Profit at drawdown start      │ 583.353 USDT                    │
+│ Profit at drawdown end        │ 466.603 USDT                    │
+│ Drawdown start                │ 2024-04-09 07:00:00             │
+│ Drawdown end                  │ 2024-05-07 21:00:00             │
+│ Market change                 │ 44.09%                          │
 └───────────────────────────────┴─────────────────────────────────┘
 
-Backtested 2024-01-01 00:00:00 -> 2026-02-25 00:00:00 | Max open trades : 1
-                                                          STRATEGY SUMMARY
-┏━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓
-┃ Strategy ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃    Avg Duration ┃  Win  Draw  Loss  Win% ┃           Drawdown ┃
-┡━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩
-│    Empty │     62 │         1.43 │        1238.641 │       123.86 │ 2 days, 2:15:00 │   43     0    19  69.4 │ 221.99 USDT  9.17% │
-└──────────┴────────┴──────────────┴─────────────────┴──────────────┴─────────────────┴────────────────────────┴────────────────────┘
+Backtested 2022-01-01 00:00:00 -> 2026-02-20 00:00:00 | Max open trades : 1
+                                                           STRATEGY SUMMARY
+┏━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓
+┃ Strategy ┃ Trades ┃ Avg Profit % ┃ Tot Profit USDT ┃ Tot Profit % ┃    Avg Duration ┃  Win  Draw  Loss  Win% ┃            Drawdown ┃
+┡━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩
+│    Empty │     53 │         1.76 │        1312.665 │       131.27 │ 4 days, 1:16:00 │   33     0    20  62.3 │ 116.751 USDT  7.37% │
+└──────────┴────────┴──────────────┴─────────────────┴──────────────┴─────────────────┴────────────────────────┴─────────────────────┘