Short Trade on AERO 21 Jun 2025 at 04:13:10
Take profit at 0.8122 (1 %) and Stop Loss at 0.8259 (0.67 %)
Short Trade on AERO 21 Jun 2025 at 04:13:10
Take profit at 0.8122 (1 %) and Stop Loss at 0.8259 (0.67 %)
Position size of 1198.6869 $
Take profit at 0.8122 (1 %) and Stop Loss at 0.8259 (0.67 %)
That's a 1.49 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.58 |
| Prediction 2 | Probability |
|---|---|
| 2 | 0.38 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.350741 |
Indicators:
103379
0.000637238
103445
0.350741
103894
-0.00431707
103445
104695
-0.0119371
103445
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 21 Jun 2025 04:13:10 |
21 Jun 2025 04:25:00 |
11 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.8204 | 0.8259 | 0.8122 | 1.49 | 0.341 |
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 = 0.8259 - 0.8204 = 0.0054999999999999
Récompense (distance jusqu'au take profit):
E - TP = 0.8204 - 0.8122 = 0.0082
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0082 / 0.0054999999999999 = 1.4909
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1198.6869 | 100 | 1461.1006 | 11.99 |
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 / 0.0054999999999999 = 1454.55
Taille de position USD = 1454.55 x 0.8204 = 1193.31
Donc, tu peux acheter 1454.55 avec un stoploss a 0.8259
Avec un position size USD de 1193.31$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1454.55 x 0.0054999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1454.55 x 0.0082 = 11.93
Si Take Profit atteint, tu gagneras 11.93$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1 % | 11.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.67 % | 8.04 $ |
| PNL | PNL % |
|---|---|
| -8.04 $ | -0.67 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6948 % | 103.64 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.8122
[entry_price] => 0.8204
[stop_loss] => 0.82645
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-21 04:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.8122
[entry_price] => 0.8204
[stop_loss] => 0.827
[rr_ratio] => 1.24
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-21 04:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.8122
[entry_price] => 0.8204
[stop_loss] => 0.82755
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-21 04:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.8122
[entry_price] => 0.8204
[stop_loss] => 0.82865
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-21 04:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0021
[max_drawdown] => 0.0222
[rr_ratio] => 0.09
[high] => 0.84260000
[low] => 0.81830000
[mfe_pct] => 0.26
[mae_pct] => 2.71
[mfe_mae_ratio] => 0.09
[candles_analyzed] => 24
[start_at] => 2025-06-21T04:13:10-04:00
[end_at] => 2025-06-21T06:13:10-04:00
)
[long_term] => Array
(
[max_gain] => 0.0021
[max_drawdown] => 0.0475
[rr_ratio] => 0.04
[high] => 0.86790000
[low] => 0.81830000
[mfe_pct] => 0.26
[mae_pct] => 5.79
[mfe_mae_ratio] => 0.04
[candles_analyzed] => 72
[start_at] => 2025-06-21T04:13:10-04:00
[end_at] => 2025-06-21T10:13:10-04:00
)
[breakout] => Array
(
[high_before] => 0.82150000
[high_after] => 0.86790000
[low_before] => 0.80150000
[low_after] => 0.81830000
[is_new_high] =>
[is_new_low] =>
)
)