Short Trade on ESPORTS 14 Aug 2025 at 14:49:48
Take profit at 0.1065 (1.3 %) and Stop Loss at 0.1088 (0.83 %)
Short Trade on ESPORTS 14 Aug 2025 at 14:49:48
Take profit at 0.1065 (1.3 %) and Stop Loss at 0.1088 (0.83 %)
Position size of 944.7113 $
Take profit at 0.1065 (1.3 %) and Stop Loss at 0.1088 (0.83 %)
That's a 1.56 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.61 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.51 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.61 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.84494 |
Indicators:
118761
-0.00616969
118029
0.84494
120527
-0.0207288
118029
120153
-0.0176778
118029
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 14 Aug 2025 14:49:48 |
14 Aug 2025 14:55:00 |
5 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1079 | 0.1088 | 0.1065 | 1.56 | 0.3149 |
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 = 0.1088 - 0.1079 = 0.0009
Récompense (distance jusqu'au take profit):
E - TP = 0.1079 - 0.1065 = 0.0014
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0014 / 0.0009 = 1.5556
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 944.7113 | 100 | 8753.8114 | 9.45 |
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 / 0.0009 = 8888.89
Taille de position USD = 8888.89 x 0.1079 = 959.11
Donc, tu peux acheter 8888.89 avec un stoploss a 0.1088
Avec un position size USD de 959.11$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8888.89 x 0.0009 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8888.89 x 0.0014 = 12.44
Si Take Profit atteint, tu gagneras 12.44$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.3 % | 12.26 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.83 % | 7.88 $ |
| PNL | PNL % |
|---|---|
| -7.88 $ | -0.83 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9731 % | 116.66 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1065
[entry_price] => 0.1079
[stop_loss] => 0.10889
[rr_ratio] => 1.41
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-14 14:55:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1065
[entry_price] => 0.1079
[stop_loss] => 0.10898
[rr_ratio] => 1.3
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-14 15:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1065
[entry_price] => 0.1079
[stop_loss] => 0.10907
[rr_ratio] => 1.2
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-14 15:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1065
[entry_price] => 0.1079
[stop_loss] => 0.10925
[rr_ratio] => 1.04
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-14 15:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00044
[max_drawdown] => 0.00234
[rr_ratio] => 0.19
[high] => 0.11024000
[low] => 0.10746000
[mfe_pct] => 0.41
[mae_pct] => 2.17
[mfe_mae_ratio] => 0.19
[candles_analyzed] => 24
[start_at] => 2025-08-14T14:49:48-04:00
[end_at] => 2025-08-14T16:49:48-04:00
)
[long_term] => Array
(
[max_gain] => 0.00349
[max_drawdown] => 0.00234
[rr_ratio] => 1.49
[high] => 0.11024000
[low] => 0.10441000
[mfe_pct] => 3.23
[mae_pct] => 2.17
[mfe_mae_ratio] => 1.49
[candles_analyzed] => 84
[start_at] => 2025-08-14T14:49:48-04:00
[end_at] => 2025-08-14T21:49:48-04:00
)
[breakout] => Array
(
[high_before] => 0.10862000
[high_after] => 0.11024000
[low_before] => 0.10430000
[low_after] => 0.10441000
[is_new_high] =>
[is_new_low] =>
)
)