Short Trade on MAV
The 11 Aug 2025 at 21:01:09
With 24223.9826 MAV at 0.05418$ per unit.
Position size of 1312.4554 $
Take profit at 0.05368 (0.92 %) and Stop Loss at 0.05451 (0.61 %)
That's a 1.52 RR TradePrediction 1 | Probability |
---|---|
Weak Trade
|
0.7 |
Prediction 2 | Probability |
---|---|
0 | 0.61 |
Prediction 3 | Probability |
---|---|
1 | 0.59 |
Indicators:
Position size of 1312.4554 $
Take profit at 0.05368 (0.92 %) and Stop Loss at 0.05451 (0.61 %)
That's a 1.52 RR TradeSimilar Trade Score: -86 %
Start at | Closed at | Duration |
---|---|---|
11 Aug 2025 21:01:09 |
11 Aug 2025 23:05:00 |
2 hours |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
0.05418 | 0.05451 | 0.05368 | 1.52 | 0.0582 |
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 = 0.05451 - 0.05418 = 0.00033
Récompense (distance jusqu'au take profit):
E - TP = 0.05418 - 0.05368 = 0.0005
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0005 / 0.00033 = 1.5152
Amount | Margin | Quantity | Leverage |
---|---|---|---|
1312.4554 | 100 | 24223.9826 | 13.12 |
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 / 0.00033 = 24242.42
Taille de position USD = 24242.42 x 0.05418 = 1313.45
Donc, tu peux acheter 24242.42 avec un stoploss a 0.05451
Avec un position size USD de 1313.45$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 24242.42 x 0.00033 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 24242.42 x 0.0005 = 12.12
Si Take Profit atteint, tu gagneras 12.12$
Résumé
TP % Target | TP $ Target |
---|---|
0.92 % | 12.11 $ |
SL % Target | SL $ Target |
---|---|
0.61 % | 7.99 $ |
PNL | PNL % |
---|---|
12.11 $ | 0.92 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
-0.5353 % | 87.88 % | 6 |
Array
(
[2] => Array
(
[take_profit] => 0.05352
[stop_loss] => 0.05451
[rr_ratio] => 2
[closed_at] => 2025-08-11 23:15:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.053355
[stop_loss] => 0.05451
[rr_ratio] => 2.5
[closed_at] => 2025-08-11 23:25:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.05319
[stop_loss] => 0.05451
[rr_ratio] => 3
[closed_at] => 2025-08-11 23:45:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.053025
[stop_loss] => 0.05451
[rr_ratio] => 3.5
[closed_at] => 2025-08-12 01:25:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.05286
[stop_loss] => 0.05451
[rr_ratio] => 4
[closed_at] => 2025-08-12 01:25:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.052695
[stop_loss] => 0.05451
[rr_ratio] => 4.5
[closed_at] => 2025-08-12 02:10:00
[result] => win
)
[5] => Array
(
[take_profit] => 0.05253
[stop_loss] => 0.05451
[rr_ratio] => 5
[closed_at] => 2025-08-12 02:10:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 0.052365
[stop_loss] => 0.05451
[rr_ratio] => 5.5
[closed_at] => 2025-08-12 02:15:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00036
[max_drawdown] => 0.00029
[rr_ratio] => 1.24
[high] => 0.05447000
[low] => 0.05382000
[mfe_pct] => 0.66
[mae_pct] => 0.54
[mfe_mae_ratio] => 1.24
[candles_analyzed] => 24
[start_at] => 2025-08-11T21:01:09-04:00
[end_at] => 2025-08-11T23:01:09-04:00
)
[long_term] => Array
(
[max_gain] => 0.0019
[max_drawdown] => 0.00154
[rr_ratio] => 1.23
[high] => 0.05572000
[low] => 0.05228000
[mfe_pct] => 3.51
[mae_pct] => 2.84
[mfe_mae_ratio] => 1.23
[candles_analyzed] => 84
[start_at] => 2025-08-11T21:01:09-04:00
[end_at] => 2025-08-12T04:01:09-04:00
)
[breakout] => Array
(
[high_before] => 0.05514000
[high_after] => 0.05447000
[low_before] => 0.05222000
[low_after] => 0.05228000
[is_new_high] =>
[is_new_low] =>
)
)