Short Trade on AERO 29 Jul 2025 at 02:15:24
Take profit at 0.8421 (0.59 %) and Stop Loss at 0.8504 (0.39 %)
Short Trade on AERO 29 Jul 2025 at 02:15:24
Take profit at 0.8421 (0.59 %) and Stop Loss at 0.8504 (0.39 %)
Position size of 2051.7599 $
Take profit at 0.8421 (0.59 %) and Stop Loss at 0.8504 (0.39 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.89 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.86 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.95 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.81322 |
Indicators:
118337
0.00412348
118825
0.81322
118460
0.00307843
118825
117828
0.00845803
118825
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 29 Jul 2025 02:15:24 |
29 Jul 2025 02:20:00 |
4 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.8471 | 0.8504 | 0.8421 | 1.52 | 0.3674 |
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 = 0.8504 - 0.8471 = 0.0033000000000001
Récompense (distance jusqu'au take profit):
E - TP = 0.8471 - 0.8421 = 0.005
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.005 / 0.0033000000000001 = 1.5152
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2051.7599 | 100 | 2422.0989 | 20.52 |
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 / 0.0033000000000001 = 2424.24
Taille de position USD = 2424.24 x 0.8471 = 2053.57
Donc, tu peux acheter 2424.24 avec un stoploss a 0.8504
Avec un position size USD de 2053.57$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 2424.24 x 0.0033000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 2424.24 x 0.005 = 12.12
Si Take Profit atteint, tu gagneras 12.12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.59 % | 12.11 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.39 % | 7.99 $ |
| PNL | PNL % |
|---|---|
| -7.99 $ | -0.39 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4132 % | 106.06 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.8421
[entry_price] => 0.8471
[stop_loss] => 0.85073
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-29 02:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.8421
[entry_price] => 0.8471
[stop_loss] => 0.85106
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-29 03:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.8421
[entry_price] => 0.8471
[stop_loss] => 0.85139
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-29 03:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.8421
[entry_price] => 0.8471
[stop_loss] => 0.85205
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-29 03:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0
[max_drawdown] => 0.0104
[rr_ratio] => 0
[high] => 0.85750000
[low] => 0.84710000
[mfe_pct] => 0
[mae_pct] => 1.23
[mfe_mae_ratio] => 0
[candles_analyzed] => 24
[start_at] => 2025-07-29T02:15:24-04:00
[end_at] => 2025-07-29T04:15:24-04:00
)
[long_term] => Array
(
[max_gain] => 0.015
[max_drawdown] => 0.0104
[rr_ratio] => 1.44
[high] => 0.85750000
[low] => 0.83210000
[mfe_pct] => 1.77
[mae_pct] => 1.23
[mfe_mae_ratio] => 1.44
[candles_analyzed] => 84
[start_at] => 2025-07-29T02:15:24-04:00
[end_at] => 2025-07-29T09:15:24-04:00
)
[breakout] => Array
(
[high_before] => 0.84840000
[high_after] => 0.85750000
[low_before] => 0.82620000
[low_after] => 0.83210000
[is_new_high] =>
[is_new_low] =>
)
)