Long Trade on PAXG 09 Jun 2025 at 15:39:50
Take profit at 3349.7006 (0.081 %) and Stop Loss at 3345.1829 (0.054 %)
Long Trade on PAXG 09 Jun 2025 at 15:39:50
Take profit at 3349.7006 (0.081 %) and Stop Loss at 3345.1829 (0.054 %)
Position size of 14817.2942 $
Take profit at 3349.7006 (0.081 %) and Stop Loss at 3345.1829 (0.054 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.68 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.52 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.203445 |
Indicators:
107954
0.00499548
108493
0.203445
106951
0.0144751
108499
105383
0.0295101
108493
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 09 Jun 2025 15:39:50 |
09 Jun 2025 15:45:00 |
5 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 3346.99 | 3345.1829 | 3349.7006 | 1.5 | 5383.73 |
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 = 3345.1829 - 3346.99 = -1.8071
Récompense (distance jusqu'au take profit):
E - TP = 3346.99 - 3349.7006 = -2.7106000000003
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -2.7106000000003 / -1.8071 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 14817.2942 | 100 | 4.4271 | 148.17 |
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 / -1.8071 = -4.43
Taille de position USD = -4.43 x 3346.99 = -14827.17
Donc, tu peux acheter -4.43 avec un stoploss a 3345.1829
Avec un position size USD de -14827.17$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -4.43 x -1.8071 = 8.01
Si Stop Loss atteint, tu perdras 8.01$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -4.43 x -2.7106000000003 = 12.01
Si Take Profit atteint, tu gagneras 12.01$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.081 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.054 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.85 $ | -0.06 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.1297 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 3350
[entry_price] => 3347
[stop_loss] => 3344.8
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-09 15:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 3350
[entry_price] => 3347
[stop_loss] => 3344.6
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-09 15:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 3350
[entry_price] => 3347
[stop_loss] => 3344.4
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-09 15:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 3350
[entry_price] => 3347
[stop_loss] => 3344
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-09 15:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0
[max_drawdown] => 6.8599999999997
[rr_ratio] => 0
[high] => 3346.99000000
[low] => 3340.13000000
[mfe_pct] => 0
[mae_pct] => 0.2
[mfe_mae_ratio] => 0
[candles_analyzed] => 24
[start_at] => 2025-06-09T15:39:50-04:00
[end_at] => 2025-06-09T17:39:50-04:00
)
[long_term] => Array
(
[max_gain] => 0.94000000000005
[max_drawdown] => 21.95
[rr_ratio] => 0.04
[high] => 3347.93000000
[low] => 3325.04000000
[mfe_pct] => 0.03
[mae_pct] => 0.66
[mfe_mae_ratio] => 0.04
[candles_analyzed] => 72
[start_at] => 2025-06-09T15:39:50-04:00
[end_at] => 2025-06-09T21:39:50-04:00
)
[breakout] => Array
(
[high_before] => 3356.15000000
[high_after] => 3347.93000000
[low_before] => 3345.42000000
[low_after] => 3325.04000000
[is_new_high] =>
[is_new_low] =>
)
)