Short Trade on BOME
The 15 May 2025 at 11:51:41
With 183276.1617 BOME at 0.002632$ per unit.
Position size of 482.3829 $
Take profit at 0.002567 (2.47 %) and Stop Loss at 0.002676 (1.67 %)
That's a 1.48 RR TradePrediction 1 | Probability |
---|---|
Weak Trade
|
0.75 |
Prediction 2 | Probability |
---|---|
0 | 0.65 |
Prediction 3 | Probability |
---|---|
n/a |
Indicators:
Position size of 482.3829 $
Take profit at 0.002567 (2.47 %) and Stop Loss at 0.002676 (1.67 %)
That's a 1.48 RR TradeSimilar Trade Score: -49.44 %
Start at | Closed at | Duration |
---|---|---|
15 May 2025 11:51:41 |
15 May 2025 14:15:00 |
2 hours |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
0.002632 | 0.002676 | 0.002567 | 1.48 | 0.002336 |
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 = 0.002676 - 0.002632 = 4.4E-5
Récompense (distance jusqu'au take profit):
E - TP = 0.002632 - 0.002567 = 6.5E-5
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 6.5E-5 / 4.4E-5 = 1.4773
Amount | Margin | Quantity | Leverage |
---|---|---|---|
482.3829 | 100 | 183276.1617 | 4.82 |
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 / 4.4E-5 = 181818.18
Taille de position USD = 181818.18 x 0.002632 = 478.55
Donc, tu peux acheter 181818.18 avec un stoploss a 0.002676
Avec un position size USD de 478.55$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 181818.18 x 4.4E-5 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 181818.18 x 6.5E-5 = 11.82
Si Take Profit atteint, tu gagneras 11.82$
Résumé
TP % Target | TP $ Target |
---|---|
2.47 % | 11.91 $ |
SL % Target | SL $ Target |
---|---|
1.67 % | 8.06 $ |
PNL | PNL % |
---|---|
11.91 $ | 2.47 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
-1.4437689969605 % | 0 % | 0 |
Array
(
[2] => Array
(
[take_profit] => 0.002544
[stop_loss] => 0.002676
[rr_ratio] => 2
[closed_at] => 2025-05-15 14:30:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.002522
[stop_loss] => 0.002676
[rr_ratio] => 2.5
[closed_at] => 2025-05-15 14:35:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.0025
[stop_loss] => 0.002676
[rr_ratio] => 3
[closed_at] => 2025-05-15 14:45:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.002478
[stop_loss] => 0.002676
[rr_ratio] => 3.5
[closed_at] => 2025-05-15 15:25:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.002456
[stop_loss] => 0.002676
[rr_ratio] => 4
[closed_at] => 2025-05-15 16:15:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.002434
[stop_loss] => 0.002676
[rr_ratio] => 4.5
[closed_at] => 2025-05-15 17:20:00
[result] => win
)
[5] => Array
(
[take_profit] => 0.002412
[stop_loss] => 0.002676
[rr_ratio] => 5
[closed_at] => 2025-05-15 17:20:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 0.00239
[stop_loss] => 0.002676
[rr_ratio] => 5.5
[closed_at] => 2025-05-15 17:30:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 3.1E-5
[max_drawdown] => 3.8E-5
[rr_ratio] => 0.82
[high] => 0.00267000
[low] => 0.00260100
[mfe_pct] => 1.18
[mae_pct] => 1.44
[mfe_mae_ratio] => 0.82
[candles_analyzed] => 24
[start_at] => 2025-05-15T11:51:41-04:00
[end_at] => 2025-05-15T13:51:41-04:00
)
[long_term] => Array
(
[max_gain] => 0.000243
[max_drawdown] => 3.8E-5
[rr_ratio] => 6.39
[high] => 0.00267000
[low] => 0.00238900
[mfe_pct] => 9.23
[mae_pct] => 1.44
[mfe_mae_ratio] => 6.39
[candles_analyzed] => 72
[start_at] => 2025-05-15T11:51:41-04:00
[end_at] => 2025-05-15T17:51:41-04:00
)
[breakout] => Array
(
[high_before] => 0.00278500
[high_after] => 0.00267000
[low_before] => 0.00243300
[low_after] => 0.00238900
[is_new_high] =>
[is_new_low] => 1
)
)