Short Trade on ENS 22 Jun 2025 at 18:48:09
Take profit at 16.7216 (1.35 %) and Stop Loss at 17.1039 (0.9 %)
Short Trade on ENS 22 Jun 2025 at 18:48:09
Take profit at 16.7216 (1.35 %) and Stop Loss at 17.1039 (0.9 %)
Position size of 886.8166 $
Take profit at 16.7216 (1.35 %) and Stop Loss at 17.1039 (0.9 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.56 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.47 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.721379 |
Indicators:
99499
0.0115746
100650
0.721379
100765
-0.00114282
100650
102793
-0.0208482
100650
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Jun 2025 18:48:09 |
22 Jun 2025 20:40:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 16.951 | 17.1039 | 16.7216 | 1.5 | 5.953 |
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 = 17.1039 - 16.951 = 0.1529
Récompense (distance jusqu'au take profit):
E - TP = 16.951 - 16.7216 = 0.2294
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.2294 / 0.1529 = 1.5003
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 886.8166 | 100 | 52.3165 | 8.87 |
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 / 0.1529 = 52.32
Taille de position USD = 52.32 x 16.951 = 886.88
Donc, tu peux acheter 52.32 avec un stoploss a 17.1039
Avec un position size USD de 886.88$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 52.32 x 0.1529 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 52.32 x 0.2294 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.35 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.9 % | 8 $ |
| PNL | PNL % |
|---|---|
| -7.85 $ | -0.88 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.1622 % | 131.32 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 16.72
[entry_price] => 16.95
[stop_loss] => 17.115
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-22 20:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 16.72
[entry_price] => 16.95
[stop_loss] => 17.13
[rr_ratio] => 1.28
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-22 20:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 16.72
[entry_price] => 16.95
[stop_loss] => 17.145
[rr_ratio] => 1.18
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-22 20:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 16.72
[entry_price] => 16.95
[stop_loss] => 17.175
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-22 20:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.013000000000002
[max_drawdown] => 0.256
[rr_ratio] => 0.05
[high] => 17.20700000
[low] => 16.93800000
[mfe_pct] => 0.08
[mae_pct] => 1.51
[mfe_mae_ratio] => 0.05
[candles_analyzed] => 24
[start_at] => 2025-06-22T18:48:09-04:00
[end_at] => 2025-06-22T20:48:09-04:00
)
[long_term] => Array
(
[max_gain] => 0.016999999999999
[max_drawdown] => 0.265
[rr_ratio] => 0.06
[high] => 17.21600000
[low] => 16.93400000
[mfe_pct] => 0.1
[mae_pct] => 1.56
[mfe_mae_ratio] => 0.06
[candles_analyzed] => 72
[start_at] => 2025-06-22T18:48:09-04:00
[end_at] => 2025-06-23T00:48:09-04:00
)
[breakout] => Array
(
[high_before] => 17.05600000
[high_after] => 17.21600000
[low_before] => 16.00700000
[low_after] => 16.93400000
[is_new_high] =>
[is_new_low] =>
)
)