Long Trade on AR
The 02 May 2025 at 06:48:31
With 144.7637 AR at 7.716$ per unit.
Position size of 1116.9968 $
Take profit at 7.7989 (1.07 %) and Stop Loss at 7.6607 (0.72 %)
That's a 1.5 RR TradePrediction 1 | Probability |
---|---|
|
n/a |
Prediction 2 | Probability |
---|---|
n/a |
Prediction 3 | Probability |
---|---|
n/a |
Indicators:
Position size of 1116.9968 $
Take profit at 7.7989 (1.07 %) and Stop Loss at 7.6607 (0.72 %)
That's a 1.5 RR TradeSimilar Trade Score: -47.5 %
Start at | Closed at | Duration |
---|---|---|
02 May 2025 06:48:31 |
02 May 2025 07:15:00 |
26 minutes |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
7.716 | 7.6607 | 7.7989 | 1.5 | 7.312 |
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 = 7.6607 - 7.716 = -0.0553
Récompense (distance jusqu'au take profit):
E - TP = 7.716 - 7.7989 = -0.0829
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0829 / -0.0553 = 1.4991
Amount | Margin | Quantity | Leverage |
---|---|---|---|
1116.9968 | 100 | 144.7637 | 11.17 |
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 / -0.0553 = -144.67
Taille de position USD = -144.67 x 7.716 = -1116.27
Donc, tu peux acheter -144.67 avec un stoploss a 7.6607
Avec un position size USD de -1116.27$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -144.67 x -0.0553 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -144.67 x -0.0829 = 11.99
Si Take Profit atteint, tu gagneras 11.99$
Résumé
TP % Target | TP $ Target |
---|---|
1.07 % | 12 $ |
SL % Target | SL $ Target |
---|---|
0.72 % | 8.01 $ |
PNL | PNL % |
---|---|
12.02 $ | 1.08 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
-0.38880248833593 % | 0 % | 0 |
Array
(
[2] => Array
(
[take_profit] => 7.826
[stop_loss] => 7.661
[rr_ratio] => 2
[closed_at] => 2025-05-02 08:30:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 7.8535
[stop_loss] => 7.661
[rr_ratio] => 2.5
[closed_at] => 2025-05-02 08:50:00
[result] => win
)
[3] => Array
(
[take_profit] => 7.881
[stop_loss] => 7.661
[rr_ratio] => 3
[closed_at] => 2025-05-02 08:50:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 7.9085
[stop_loss] => 7.661
[rr_ratio] => 3.5
[closed_at] => 2025-05-02 09:50:00
[result] => win
)
[4] => Array
(
[take_profit] => 7.936
[stop_loss] => 7.661
[rr_ratio] => 4
[closed_at] => 2025-05-02 10:00:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 7.9635
[stop_loss] => 7.661
[rr_ratio] => 4.5
[closed_at] => 2025-05-02 10:00:00
[result] => win
)
[5] => Array
(
[take_profit] => 7.991
[stop_loss] => 7.661
[rr_ratio] => 5
[closed_at] => 2025-05-02 10:00:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 8.0185
[stop_loss] => 7.661
[rr_ratio] => 5.5
[closed_at] => 2025-05-02 10:05:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.124
[max_drawdown] => 0.03
[rr_ratio] => 4.13
[high] => 7.84000000
[low] => 7.68600000
[mfe_pct] => 1.61
[mae_pct] => 0.39
[mfe_mae_ratio] => 4.13
[candles_analyzed] => 24
[start_at] => 2025-05-02T06:48:31-04:00
[end_at] => 2025-05-02T08:48:31-04:00
)
[long_term] => Array
(
[max_gain] => 0.316
[max_drawdown] => 0.03
[rr_ratio] => 10.53
[high] => 8.03200000
[low] => 7.68600000
[mfe_pct] => 4.1
[mae_pct] => 0.39
[mfe_mae_ratio] => 10.53
[candles_analyzed] => 72
[start_at] => 2025-05-02T06:48:31-04:00
[end_at] => 2025-05-02T12:48:31-04:00
)
[breakout] => Array
(
[high_before] => 7.98900000
[high_after] => 8.03200000
[low_before] => 7.71300000
[low_after] => 7.68600000
[is_new_high] => 1
[is_new_low] =>
)
)