Short Trade on HOOK 01 Sep 2025 at 04:26:29
Take profit at 0.112 (1.15 %) and Stop Loss at 0.1142 (0.79 %)
Short Trade on HOOK 01 Sep 2025 at 04:26:29
Take profit at 0.112 (1.15 %) and Stop Loss at 0.1142 (0.79 %)
Position size of 1048.6986 $
Take profit at 0.112 (1.15 %) and Stop Loss at 0.1142 (0.79 %)
That's a 1.44 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.62 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.55 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.81 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : range_medium rules_regime_5m : bull_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.684081 |
0 |
Indicators:
108119
0.0127798
109500
0.684081
108385
0.0110416
109581
109496
4.33351E-5
109500
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 04:26:29 |
01 Sep 2025 05:00:00 |
33 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1133 | 0.1142 | 0.112 | 1.44 | 0.03564 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.1142 - 0.1133 = 0.0009
Récompense (distance jusqu'au take profit):
E - TP = 0.1133 - 0.112 = 0.0013
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0013 / 0.0009 = 1.4444
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1048.6986 | 100 | 9252.6786 | 10.49 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / 0.0009 = 8888.89
Taille de position USD = 8888.89 x 0.1133 = 1007.11
Donc, tu peux acheter 8888.89 avec un stoploss a 0.1142
Avec un position size USD de 1007.11$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8888.89 x 0.0009 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8888.89 x 0.0013 = 11.56
Si Take Profit atteint, tu gagneras 11.56$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.15 % | 12.03 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.79 % | 8.33 $ |
| PNL | PNL % |
|---|---|
| -8.33 $ | -0.79 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.812 % | 102.22 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.112
[entry_price] => 0.1133
[stop_loss] => 0.11429
[rr_ratio] => 1.31
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 06:25:00
[result] => win
)
[1.2] => Array
(
[take_profit] => 0.112
[entry_price] => 0.1133
[stop_loss] => 0.11438
[rr_ratio] => 1.2
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 06:25:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 0.112
[entry_price] => 0.1133
[stop_loss] => 0.11447
[rr_ratio] => 1.11
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 06:25:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.112
[entry_price] => 0.1133
[stop_loss] => 0.11465
[rr_ratio] => 0.96
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 06:25:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00153
[max_drawdown] => 0.00092
[rr_ratio] => 1.66
[high] => 0.11422000
[low] => 0.11177000
[mfe_pct] => 1.35
[mae_pct] => 0.81
[mfe_mae_ratio] => 1.66
[candles_analyzed] => 24
[start_at] => 2025-09-01T04:26:29-04:00
[end_at] => 2025-09-01T06:26:29-04:00
)
[long_term] => Array
(
[max_gain] => 0.00558
[max_drawdown] => 0.00092
[rr_ratio] => 6.07
[high] => 0.11422000
[low] => 0.10772000
[mfe_pct] => 4.92
[mae_pct] => 0.81
[mfe_mae_ratio] => 6.07
[candles_analyzed] => 84
[start_at] => 2025-09-01T04:26:29-04:00
[end_at] => 2025-09-01T11:26:29-04:00
)
[breakout] => Array
(
[high_before] => 0.11430000
[high_after] => 0.11422000
[low_before] => 0.10837000
[low_after] => 0.10867000
[is_new_high] =>
[is_new_low] =>
)
)