Short Trade on MUBARAK 14 Aug 2025 at 22:20:27
Take profit at 0.03361 (0.71 %) and Stop Loss at 0.03401 (0.47 %)
Short Trade on MUBARAK 14 Aug 2025 at 22:20:27
Take profit at 0.03361 (0.71 %) and Stop Loss at 0.03401 (0.47 %)
Position size of 1712.1705 $
Take profit at 0.03361 (0.71 %) and Stop Loss at 0.03401 (0.47 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.69 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.75 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.76 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.596049 |
Indicators:
118168
0.00363614
118598
0.596049
119639
-0.00870481
118598
119928
-0.0110938
118598
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 14 Aug 2025 22:20:27 |
14 Aug 2025 23:05:00 |
44 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.03385 | 0.03401 | 0.03361 | 1.5 | 0.01335 |
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 = 0.03401 - 0.03385 = 0.00016
Récompense (distance jusqu'au take profit):
E - TP = 0.03385 - 0.03361 = 0.00024
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00024 / 0.00016 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1712.1705 | 100 | 50581.1064 | 17.12 |
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 / 0.00016 = 50000
Taille de position USD = 50000 x 0.03385 = 1692.5
Donc, tu peux acheter 50000 avec un stoploss a 0.03401
Avec un position size USD de 1692.5$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 50000 x 0.00016 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 50000 x 0.00024 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.71 % | 12.14 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.47 % | 8.09 $ |
| PNL | PNL % |
|---|---|
| -8.09 $ | -0.47 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.709 % | 149.99 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.03361
[entry_price] => 0.03385
[stop_loss] => 0.034026
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-14 23:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.03361
[entry_price] => 0.03385
[stop_loss] => 0.034042
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-14 23:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.03361
[entry_price] => 0.03385
[stop_loss] => 0.034058
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-14 23:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.03361
[entry_price] => 0.03385
[stop_loss] => 0.03409
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-14 23:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00016
[max_drawdown] => 0.00051
[rr_ratio] => 0.31
[high] => 0.03436000
[low] => 0.03369000
[mfe_pct] => 0.47
[mae_pct] => 1.51
[mfe_mae_ratio] => 0.31
[candles_analyzed] => 24
[start_at] => 2025-08-14T22:20:27-04:00
[end_at] => 2025-08-15T00:20:27-04:00
)
[long_term] => Array
(
[max_gain] => 0.00016
[max_drawdown] => 0.00079
[rr_ratio] => 0.2
[high] => 0.03464000
[low] => 0.03369000
[mfe_pct] => 0.47
[mae_pct] => 2.33
[mfe_mae_ratio] => 0.2
[candles_analyzed] => 84
[start_at] => 2025-08-14T22:20:27-04:00
[end_at] => 2025-08-15T05:20:27-04:00
)
[breakout] => Array
(
[high_before] => 0.03394000
[high_after] => 0.03464000
[low_before] => 0.03306000
[low_after] => 0.03369000
[is_new_high] =>
[is_new_low] =>
)
)