Short Trade on PAXG 23 Apr 2025 at 18:22:19
Take profit at 3319.4419 (0.25 %) and Stop Loss at 3333.4721 (0.17 %)
Short Trade on PAXG 23 Apr 2025 at 18:22:19
Take profit at 3319.4419 (0.25 %) and Stop Loss at 3333.4721 (0.17 %)
Position size of 4743.8689 $
Take profit at 3319.4419 (0.25 %) and Stop Loss at 3333.4721 (0.17 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
n/a |
| Prediction 2 | Probability |
|---|---|
| n/a |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
Indicators:
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 23 Apr 2025 18:22:19 |
23 Apr 2025 18:35:00 |
12 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 3327.86 | 3333.4721 | 3319.4419 | 1.5 | 5181.97 |
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 = 3333.4721 - 3327.86 = 5.6120999999998
Récompense (distance jusqu'au take profit):
E - TP = 3327.86 - 3319.4419 = 8.4181000000003
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 8.4181000000003 / 5.6120999999998 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 4743.8689 | 100 | 1.4255 | 47.44 |
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 / 5.6120999999998 = 1.43
Taille de position USD = 1.43 x 3327.86 = 4758.84
Donc, tu peux acheter 1.43 avec un stoploss a 3333.4721
Avec un position size USD de 4758.84$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1.43 x 5.6120999999998 = 8.03
Si Stop Loss atteint, tu perdras 8.03$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1.43 x 8.4181000000003 = 12.04
Si Take Profit atteint, tu gagneras 12.04$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.25 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.17 % | 8 $ |
| PNL | PNL % |
|---|---|
| -7.13 $ | -0.15 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.23167067307692 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 3319
[entry_price] => 3328
[stop_loss] => 3333.5
[rr_ratio] => 1.64
[sl_change_percentage] => 1.1
[closed_at] => 2025-04-23 18:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 3319
[entry_price] => 3328
[stop_loss] => 3334
[rr_ratio] => 1.5
[sl_change_percentage] => 1.2
[closed_at] => 2025-04-23 18:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 3319
[entry_price] => 3328
[stop_loss] => 3334.5
[rr_ratio] => 1.38
[sl_change_percentage] => 1.3
[closed_at] => 2025-04-23 18:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 3319
[entry_price] => 3328
[stop_loss] => 3335.5
[rr_ratio] => 1.2
[sl_change_percentage] => 1.5
[closed_at] => 2025-04-23 18:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 1.6500000000001
[max_drawdown] => 19.67
[rr_ratio] => 0.08
[high] => 3347.53000000
[low] => 3326.21000000
[mfe_pct] => 0.05
[mae_pct] => 0.59
[mfe_mae_ratio] => 0.08
[candles_analyzed] => 24
[start_at] => 2025-04-23T18:22:19-04:00
[end_at] => 2025-04-23T20:22:19-04:00
)
[long_term] => Array
(
[max_gain] => 1.6500000000001
[max_drawdown] => 60.13
[rr_ratio] => 0.03
[high] => 3387.99000000
[low] => 3326.21000000
[mfe_pct] => 0.05
[mae_pct] => 1.81
[mfe_mae_ratio] => 0.03
[candles_analyzed] => 72
[start_at] => 2025-04-23T18:22:19-04:00
[end_at] => 2025-04-24T00:22:19-04:00
)
[breakout] => Array
(
[high_before] => 3330.31000000
[high_after] => 3387.99000000
[low_before] => 3301.54000000
[low_after] => 3326.21000000
[is_new_high] =>
[is_new_low] =>
)
)