Short Trade on MELANIA 25 Aug 2025 at 19:37:53
Take profit at 0.187 (0.69 %) and Stop Loss at 0.1891 (0.42 %)
Short Trade on MELANIA 25 Aug 2025 at 19:37:53
Take profit at 0.187 (0.69 %) and Stop Loss at 0.1891 (0.42 %)
Position size of 1778.2488 $
Take profit at 0.187 (0.69 %) and Stop Loss at 0.1891 (0.42 %)
That's a 1.63 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.91 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.6 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.7 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear rules_regime : bear_medium rules_regime_5m : bear_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.627851 |
3 |
Indicators:
110908
-0.00818568
110000
0.627851
111692
-0.0153843
109974
113175
-0.0280525
110000
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 25 Aug 2025 19:37:53 |
25 Aug 2025 19:50:00 |
12 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1883 | 0.1891 | 0.187 | 1.63 | 0.1037 |
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 = 0.1891 - 0.1883 = 0.0008
Récompense (distance jusqu'au take profit):
E - TP = 0.1883 - 0.187 = 0.0013
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0013 / 0.0008 = 1.625
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1778.2488 | 100 | 9443.7003 | 17.78 |
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 / 0.0008 = 10000
Taille de position USD = 10000 x 0.1883 = 1883
Donc, tu peux acheter 10000 avec un stoploss a 0.1891
Avec un position size USD de 1883$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 10000 x 0.0008 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 10000 x 0.0013 = 13
Si Take Profit atteint, tu gagneras 13$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.69 % | 12.28 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.42 % | 7.55 $ |
| PNL | PNL % |
|---|---|
| -7.55 $ | -0.42 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4249 % | 100 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.187
[entry_price] => 0.1883
[stop_loss] => 0.18918
[rr_ratio] => 1.48
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-25 19:55:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.187
[entry_price] => 0.1883
[stop_loss] => 0.18926
[rr_ratio] => 1.35
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-25 19:55:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.187
[entry_price] => 0.1883
[stop_loss] => 0.18934
[rr_ratio] => 1.25
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-25 20:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.187
[entry_price] => 0.1883
[stop_loss] => 0.1895
[rr_ratio] => 1.08
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-25 20:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0008
[max_drawdown] => 0.0024
[rr_ratio] => 0.33
[high] => 0.19070000
[low] => 0.18750000
[mfe_pct] => 0.42
[mae_pct] => 1.27
[mfe_mae_ratio] => 0.33
[candles_analyzed] => 24
[start_at] => 2025-08-25T19:37:53-04:00
[end_at] => 2025-08-25T21:37:53-04:00
)
[long_term] => Array
(
[max_gain] => 0.0008
[max_drawdown] => 0.0189
[rr_ratio] => 0.04
[high] => 0.20720000
[low] => 0.18750000
[mfe_pct] => 0.42
[mae_pct] => 10.04
[mfe_mae_ratio] => 0.04
[candles_analyzed] => 84
[start_at] => 2025-08-25T19:37:53-04:00
[end_at] => 2025-08-26T02:37:53-04:00
)
[breakout] => Array
(
[high_before] => 0.18870000
[high_after] => 0.20280000
[low_before] => 0.18220000
[low_after] => 0.18750000
[is_new_high] =>
[is_new_low] =>
)
)