Short Trade on BIO
The 31 Jul 2025 at 12:37:23
With 8641.7275 BIO at 0.0672$ per unit.
Position size of 580.7241 $
Take profit at 0.06581 (2.07 %) and Stop Loss at 0.06813 (1.38 %)
That's a 1.49 RR TradePrediction 1 | Probability |
---|---|
Weak Trade
|
0.92 |
Prediction 2 | Probability |
---|---|
0 | 0.75 |
Prediction 3 | Probability |
---|---|
0 | 0.76 |
Indicators:
Position size of 580.7241 $
Take profit at 0.06581 (2.07 %) and Stop Loss at 0.06813 (1.38 %)
That's a 1.49 RR TradeSimilar Trade Score: -40.83 %
Start at | Closed at | Duration |
---|---|---|
31 Jul 2025 12:37:23 |
31 Jul 2025 13:40:00 |
1 hour |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
0.0672 | 0.06813 | 0.06581 | 1.49 | 0.1937 |
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 = 0.06813 - 0.0672 = 0.00093
Récompense (distance jusqu'au take profit):
E - TP = 0.0672 - 0.06581 = 0.00139
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00139 / 0.00093 = 1.4946
Amount | Margin | Quantity | Leverage |
---|---|---|---|
580.7241 | 100 | 8641.7275 | 5.81 |
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 / 0.00093 = 8602.15
Taille de position USD = 8602.15 x 0.0672 = 578.06
Donc, tu peux acheter 8602.15 avec un stoploss a 0.06813
Avec un position size USD de 578.06$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8602.15 x 0.00093 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8602.15 x 0.00139 = 11.96
Si Take Profit atteint, tu gagneras 11.96$
Résumé
TP % Target | TP $ Target |
---|---|
2.07 % | 12.01 $ |
SL % Target | SL $ Target |
---|---|
1.38 % | 8.04 $ |
PNL | PNL % |
---|---|
12.01 $ | 2.07 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
-0.6994 % | 50.54 % | 7 |
Array
(
[2] => Array
(
[take_profit] => 0.06534
[stop_loss] => 0.06813
[rr_ratio] => 2
[closed_at] => 2025-07-31 13:45:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.064875
[stop_loss] => 0.06813
[rr_ratio] => 2.5
[closed_at] => 2025-07-31 14:00:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.06441
[stop_loss] => 0.06813
[rr_ratio] => 3
[closed_at] => 2025-07-31 14:00:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.063945
[stop_loss] => 0.06813
[rr_ratio] => 3.5
[closed_at] => 2025-07-31 14:05:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.06348
[stop_loss] => 0.06813
[rr_ratio] => 4
[closed_at] => 2025-07-31 17:00:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.063015
[stop_loss] => 0.06813
[rr_ratio] => 4.5
[closed_at] => 2025-07-31 17:20:00
[result] => win
)
[5] => Array
(
[take_profit] => 0.06255
[stop_loss] => 0.06813
[rr_ratio] => 5
[closed_at] => 2025-07-31 17:50:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 0.062085
[stop_loss] => 0.06813
[rr_ratio] => 5.5
[closed_at] => 2025-07-31 17:50:00
[result] => win
)
[6] => Array
(
[take_profit] => 0.06162
[stop_loss] => 0.06813
[rr_ratio] => 6
[closed_at] => 2025-07-31 18:30:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00364
[max_drawdown] => 0.00047
[rr_ratio] => 7.74
[high] => 0.06767000
[low] => 0.06356000
[mfe_pct] => 5.42
[mae_pct] => 0.7
[mfe_mae_ratio] => 7.74
[candles_analyzed] => 24
[start_at] => 2025-07-31T12:37:23-04:00
[end_at] => 2025-07-31T14:37:23-04:00
)
[long_term] => Array
(
[max_gain] => 0.00632
[max_drawdown] => 0.00047
[rr_ratio] => 13.45
[high] => 0.06767000
[low] => 0.06088000
[mfe_pct] => 9.4
[mae_pct] => 0.7
[mfe_mae_ratio] => 13.45
[candles_analyzed] => 84
[start_at] => 2025-07-31T12:37:23-04:00
[end_at] => 2025-07-31T19:37:23-04:00
)
[breakout] => Array
(
[high_before] => 0.06870000
[high_after] => 0.06767000
[low_before] => 0.06324000
[low_after] => 0.06149000
[is_new_high] =>
[is_new_low] => 1
)
)