Long Trade on 1000000MOG 31 Jul 2025 at 08:03:57
Take profit at 1.4809 (1.27 %) and Stop Loss at 1.4499 (0.85 %)
Long Trade on 1000000MOG 31 Jul 2025 at 08:03:57
Take profit at 1.4809 (1.27 %) and Stop Loss at 1.4499 (0.85 %)
Position size of 944.8497 $
Take profit at 1.4809 (1.27 %) and Stop Loss at 1.4499 (0.85 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.57 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.45 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.51 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.344905 |
Indicators:
118467
-0.00107999
118339
0.344905
118099
0.00203285
118339
118116
0.0018904
118339
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 31 Jul 2025 08:03:57 |
31 Jul 2025 08:30:00 |
26 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.4623 | 1.4499 | 1.4809 | 1.5 | 0.16 |
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 = 1.4499 - 1.4623 = -0.0124
Récompense (distance jusqu'au take profit):
E - TP = 1.4623 - 1.4809 = -0.0186
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0186 / -0.0124 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 944.8497 | 100 | 646.1394 | 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 / -0.0124 = -645.16
Taille de position USD = -645.16 x 1.4623 = -943.42
Donc, tu peux acheter -645.16 avec un stoploss a 1.4499
Avec un position size USD de -943.42$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -645.16 x -0.0124 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -645.16 x -0.0186 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.27 % | 12.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.85 % | 8.01 $ |
| PNL | PNL % |
|---|---|
| -8.01 $ | -0.85 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9848 % | 116.13 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.4809
[entry_price] => 1.4623
[stop_loss] => 1.44866
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-31 08:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.4809
[entry_price] => 1.4623
[stop_loss] => 1.44742
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-31 08:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.4809
[entry_price] => 1.4623
[stop_loss] => 1.44618
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-31 08:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.4809
[entry_price] => 1.4623
[stop_loss] => 1.4437
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-31 08:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0044
[max_drawdown] => 0.0496
[rr_ratio] => 0.09
[high] => 1.46670000
[low] => 1.41270000
[mfe_pct] => 0.3
[mae_pct] => 3.39
[mfe_mae_ratio] => 0.09
[candles_analyzed] => 24
[start_at] => 2025-07-31T08:03:57-04:00
[end_at] => 2025-07-31T10:03:57-04:00
)
[long_term] => Array
(
[max_gain] => 0.0044
[max_drawdown] => 0.1001
[rr_ratio] => 0.04
[high] => 1.46670000
[low] => 1.36220000
[mfe_pct] => 0.3
[mae_pct] => 6.85
[mfe_mae_ratio] => 0.04
[candles_analyzed] => 84
[start_at] => 2025-07-31T08:03:57-04:00
[end_at] => 2025-07-31T15:03:57-04:00
)
[breakout] => Array
(
[high_before] => 1.52270000
[high_after] => 1.46670000
[low_before] => 1.44960000
[low_after] => 1.37650000
[is_new_high] =>
[is_new_low] =>
)
)