Long Trade on PROM 12 Aug 2025 at 13:40:26
Take profit at 10.0452 (1.73 %) and Stop Loss at 9.7609 (1.15 %)
Long Trade on PROM 12 Aug 2025 at 13:40:26
Take profit at 10.0452 (1.73 %) and Stop Loss at 9.7609 (1.15 %)
Position size of 694.7691 $
Take profit at 10.0452 (1.73 %) and Stop Loss at 9.7609 (1.15 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.89 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.73 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.62 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.182506 |
Indicators:
119175
0.00175339
119384
0.182506
119128
0.00230598
119403
118562
0.00693463
119384
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 12 Aug 2025 13:40:26 |
12 Aug 2025 13:55:00 |
14 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 9.8746 | 9.7609 | 10.0452 | 1.5 | 1.221 |
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 = 9.7609 - 9.8746 = -0.1137
Récompense (distance jusqu'au take profit):
E - TP = 9.8746 - 10.0452 = -0.1706
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.1706 / -0.1137 = 1.5004
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 694.7691 | 100 | 70.3592 | 6.95 |
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 / -0.1137 = -70.36
Taille de position USD = -70.36 x 9.8746 = -694.78
Donc, tu peux acheter -70.36 avec un stoploss a 9.7609
Avec un position size USD de -694.78$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -70.36 x -0.1137 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -70.36 x -0.1706 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.73 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.15 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -1.15 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.196 % | 103.87 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 10.0452
[entry_price] => 9.8746
[stop_loss] => 9.74953
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-12 14:25:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 10.0452
[entry_price] => 9.8746
[stop_loss] => 9.73816
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-12 14:25:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 10.0452
[entry_price] => 9.8746
[stop_loss] => 9.72679
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-12 14:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 10.0452
[entry_price] => 9.8746
[stop_loss] => 9.70405
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-12 14:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.1138
[max_drawdown] => 0.264
[rr_ratio] => 0.43
[high] => 9.98840000
[low] => 9.61060000
[mfe_pct] => 1.15
[mae_pct] => 2.67
[mfe_mae_ratio] => 0.43
[candles_analyzed] => 24
[start_at] => 2025-08-12T13:40:26-04:00
[end_at] => 2025-08-12T15:40:26-04:00
)
[long_term] => Array
(
[max_gain] => 0.2244
[max_drawdown] => 0.264
[rr_ratio] => 0.85
[high] => 10.09900000
[low] => 9.61060000
[mfe_pct] => 2.27
[mae_pct] => 2.67
[mfe_mae_ratio] => 0.85
[candles_analyzed] => 84
[start_at] => 2025-08-12T13:40:26-04:00
[end_at] => 2025-08-12T20:40:26-04:00
)
[breakout] => Array
(
[high_before] => 10.32900000
[high_after] => 10.09900000
[low_before] => 9.79520000
[low_after] => 9.61060000
[is_new_high] =>
[is_new_low] =>
)
)