Short Trade on ORDI
The 18 Aug 2025 at 09:04:14
With 170.5648 ORDI at 9.098$ per unit.
Position size of 1551.7987 $
Take profit at 9.0276 (0.77 %) and Stop Loss at 9.1449 (0.52 %)
That's a 1.5 RR TradePrediction 1 | Probability |
---|---|
Weak Trade
|
0.51 |
Prediction 2 | Probability |
---|---|
0 | 0.62 |
Prediction 3 | Probability |
---|---|
0 | 0.82 |
Indicators:
Position size of 1551.7987 $
Take profit at 9.0276 (0.77 %) and Stop Loss at 9.1449 (0.52 %)
That's a 1.5 RR TradeSimilar Trade Score: 13.57 %
Start at | Closed at | Duration |
---|---|---|
18 Aug 2025 09:04:14 |
18 Aug 2025 09:10:00 |
5 minutes |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
9.098 | 9.1449 | 9.0276 | 1.5 | 9.995 |
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 = 9.1449 - 9.098 = 0.046899999999999
Récompense (distance jusqu'au take profit):
E - TP = 9.098 - 9.0276 = 0.070400000000001
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.070400000000001 / 0.046899999999999 = 1.5011
Amount | Margin | Quantity | Leverage |
---|---|---|---|
1551.7987 | 100 | 170.5648 | 15.52 |
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 / 0.046899999999999 = 170.58
Taille de position USD = 170.58 x 9.098 = 1551.94
Donc, tu peux acheter 170.58 avec un stoploss a 9.1449
Avec un position size USD de 1551.94$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 170.58 x 0.046899999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 170.58 x 0.070400000000001 = 12.01
Si Take Profit atteint, tu gagneras 12.01$
Résumé
TP % Target | TP $ Target |
---|---|
0.77 % | 12.01 $ |
SL % Target | SL $ Target |
---|---|
0.52 % | 8 $ |
PNL | PNL % |
---|---|
12.01 $ | 0.77 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
-0.0879 % | 17.05 % | 1 |
Array
(
[2] => Array
(
[take_profit] => 9.0042
[stop_loss] => 9.1449
[rr_ratio] => 2
[closed_at] => 2025-08-18 09:40:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 8.98075
[stop_loss] => 9.1449
[rr_ratio] => 2.5
[closed_at] => 2025-08-18 09:40:00
[result] => win
)
[3] => Array
(
[take_profit] => 8.9573
[stop_loss] => 9.1449
[rr_ratio] => 3
[closed_at] => 2025-08-18 09:40:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 8.93385
[stop_loss] => 9.1449
[rr_ratio] => 3.5
[closed_at] => 2025-08-18 09:55:00
[result] => win
)
[4] => Array
(
[take_profit] => 8.9104
[stop_loss] => 9.1449
[rr_ratio] => 4
[closed_at] => 2025-08-18 09:55:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 8.88695
[stop_loss] => 9.1449
[rr_ratio] => 4.5
[closed_at] => 2025-08-18 10:45:00
[result] => win
)
[5] => Array
(
[take_profit] => 8.8635
[stop_loss] => 9.1449
[rr_ratio] => 5
[closed_at] => 2025-08-18 10:45:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.245
[max_drawdown] => 0.0079999999999991
[rr_ratio] => 30.63
[high] => 9.10600000
[low] => 8.85300000
[mfe_pct] => 2.69
[mae_pct] => 0.09
[mfe_mae_ratio] => 30.63
[candles_analyzed] => 24
[start_at] => 2025-08-18T09:04:14-04:00
[end_at] => 2025-08-18T11:04:14-04:00
)
[long_term] => Array
(
[max_gain] => 0.255
[max_drawdown] => 0.0079999999999991
[rr_ratio] => 31.88
[high] => 9.10600000
[low] => 8.84300000
[mfe_pct] => 2.8
[mae_pct] => 0.09
[mfe_mae_ratio] => 31.88
[candles_analyzed] => 84
[start_at] => 2025-08-18T09:04:14-04:00
[end_at] => 2025-08-18T16:04:14-04:00
)
[breakout] => Array
(
[high_before] => 9.10900000
[high_after] => 9.10600000
[low_before] => 8.83700000
[low_after] => 8.84300000
[is_new_high] =>
[is_new_low] =>
)
)