Short Trade on MUBARAK 27 Jul 2025 at 06:21:24
Take profit at 0.04186 (0.76 %) and Stop Loss at 0.04239 (0.5 %)
Short Trade on MUBARAK 27 Jul 2025 at 06:21:24
Take profit at 0.04186 (0.76 %) and Stop Loss at 0.04239 (0.5 %)
Position size of 1588.9721 $
Take profit at 0.04186 (0.76 %) and Stop Loss at 0.04239 (0.5 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.73 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.6 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.64 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.15544 |
Indicators:
118067
0.000664326
118146
0.15544
117978
0.00142055
118146
117750
0.00336424
118146
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 27 Jul 2025 06:21:24 |
27 Jul 2025 06:35:00 |
13 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.04218 | 0.04239 | 0.04186 | 1.52 | 0.01356 |
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 = 0.04239 - 0.04218 = 0.00020999999999999
Récompense (distance jusqu'au take profit):
E - TP = 0.04218 - 0.04186 = 0.00032
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00032 / 0.00020999999999999 = 1.5238
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1588.9721 | 100 | 37671.2211 | 15.89 |
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 / 0.00020999999999999 = 38095.24
Taille de position USD = 38095.24 x 0.04218 = 1606.86
Donc, tu peux acheter 38095.24 avec un stoploss a 0.04239
Avec un position size USD de 1606.86$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 38095.24 x 0.00020999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 38095.24 x 0.00032 = 12.19
Si Take Profit atteint, tu gagneras 12.19$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.76 % | 12.05 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.5 % | 7.91 $ |
| PNL | PNL % |
|---|---|
| -7.91 $ | -0.50 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4979 % | 100 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.04186
[entry_price] => 0.04218
[stop_loss] => 0.042411
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-27 06:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.04186
[entry_price] => 0.04218
[stop_loss] => 0.042432
[rr_ratio] => 1.27
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-27 06:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.04186
[entry_price] => 0.04218
[stop_loss] => 0.042453
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-27 06:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.04186
[entry_price] => 0.04218
[stop_loss] => 0.042495
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-27 06:40:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0
[max_drawdown] => 0.00079
[rr_ratio] => 0
[high] => 0.04297000
[low] => 0.04218000
[mfe_pct] => 0
[mae_pct] => 1.87
[mfe_mae_ratio] => 0
[candles_analyzed] => 24
[start_at] => 2025-07-27T06:21:24-04:00
[end_at] => 2025-07-27T08:21:24-04:00
)
[long_term] => Array
(
[max_gain] => 0.00023
[max_drawdown] => 0.00263
[rr_ratio] => 0.09
[high] => 0.04481000
[low] => 0.04195000
[mfe_pct] => 0.55
[mae_pct] => 6.24
[mfe_mae_ratio] => 0.09
[candles_analyzed] => 84
[start_at] => 2025-07-27T06:21:24-04:00
[end_at] => 2025-07-27T13:21:24-04:00
)
[breakout] => Array
(
[high_before] => 0.04283000
[high_after] => 0.04362000
[low_before] => 0.04144000
[low_after] => 0.04195000
[is_new_high] =>
[is_new_low] =>
)
)