Long Trade on 1000000MOG 31 Jul 2025 at 07:58:18
Take profit at 1.4777 (1.25 %) and Stop Loss at 1.4472 (0.84 %)
Long Trade on 1000000MOG 31 Jul 2025 at 07:58:18
Take profit at 1.4777 (1.25 %) and Stop Loss at 1.4472 (0.84 %)
Position size of 959.4394 $
Take profit at 1.4777 (1.25 %) and Stop Loss at 1.4472 (0.84 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.59 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.73 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.69 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.340559 |
Indicators:
118469
-0.0013443
118310
0.340559
118128
0.00152364
118308
118111
0.00168236
118310
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 31 Jul 2025 07:58:18 |
31 Jul 2025 08:45:00 |
46 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.4594 | 1.4472 | 1.4777 | 1.5 | 0.1581 |
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 = 1.4472 - 1.4594 = -0.0122
Récompense (distance jusqu'au take profit):
E - TP = 1.4594 - 1.4777 = -0.0183
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0183 / -0.0122 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 959.4394 | 100 | 657.4205 | 9.59 |
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 / -0.0122 = -655.74
Taille de position USD = -655.74 x 1.4594 = -956.99
Donc, tu peux acheter -655.74 avec un stoploss a 1.4472
Avec un position size USD de -956.99$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -655.74 x -0.0122 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -655.74 x -0.0183 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.25 % | 12.03 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.84 % | 8.02 $ |
| PNL | PNL % |
|---|---|
| -8.02 $ | -0.84 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.206 % | 144.26 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.4777
[entry_price] => 1.4594
[stop_loss] => 1.44598
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-31 08:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.4777
[entry_price] => 1.4594
[stop_loss] => 1.44476
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-31 08:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.4777
[entry_price] => 1.4594
[stop_loss] => 1.44354
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-31 08:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.4777
[entry_price] => 1.4594
[stop_loss] => 1.4411
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-31 09:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0081
[max_drawdown] => 0.0467
[rr_ratio] => 0.17
[high] => 1.46750000
[low] => 1.41270000
[mfe_pct] => 0.56
[mae_pct] => 3.2
[mfe_mae_ratio] => 0.17
[candles_analyzed] => 24
[start_at] => 2025-07-31T07:58:18-04:00
[end_at] => 2025-07-31T09:58:18-04:00
)
[long_term] => Array
(
[max_gain] => 0.0081
[max_drawdown] => 0.0972
[rr_ratio] => 0.08
[high] => 1.46750000
[low] => 1.36220000
[mfe_pct] => 0.56
[mae_pct] => 6.66
[mfe_mae_ratio] => 0.08
[candles_analyzed] => 84
[start_at] => 2025-07-31T07:58:18-04:00
[end_at] => 2025-07-31T14:58:18-04:00
)
[breakout] => Array
(
[high_before] => 1.52270000
[high_after] => 1.46750000
[low_before] => 1.44960000
[low_after] => 1.38220000
[is_new_high] =>
[is_new_low] =>
)
)