Short Trade on JUP 25 Jul 2025 at 05:31:07
Take profit at 0.5313 (1.28 %) and Stop Loss at 0.5428 (0.85 %)
Short Trade on JUP 25 Jul 2025 at 05:31:07
Take profit at 0.5313 (1.28 %) and Stop Loss at 0.5428 (0.85 %)
Position size of 935.629 $
Take profit at 0.5313 (1.28 %) and Stop Loss at 0.5428 (0.85 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.57 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.56 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.763729 |
Indicators:
115831
-0.000447083
115779
0.763729
117171
-0.0118805
115779
118100
-0.0196479
115779
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 25 Jul 2025 05:31:07 |
25 Jul 2025 06:00:00 |
28 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.5382 | 0.5428 | 0.5313 | 1.5 | 0.1542 |
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 = 0.5428 - 0.5382 = 0.0045999999999999
Récompense (distance jusqu'au take profit):
E - TP = 0.5382 - 0.5313 = 0.0069
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0069 / 0.0045999999999999 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 935.629 | 100 | 1738.4411 | 9.36 |
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 / 0.0045999999999999 = 1739.13
Taille de position USD = 1739.13 x 0.5382 = 936
Donc, tu peux acheter 1739.13 avec un stoploss a 0.5428
Avec un position size USD de 936$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1739.13 x 0.0045999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1739.13 x 0.0069 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.28 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.85 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -0.85 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.1334 % | 132.61 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.5313
[entry_price] => 0.5382
[stop_loss] => 0.54326
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-25 06:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.5313
[entry_price] => 0.5382
[stop_loss] => 0.54372
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-25 06:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.5313
[entry_price] => 0.5382
[stop_loss] => 0.54418
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-25 06:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.5313
[entry_price] => 0.5382
[stop_loss] => 0.5451
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-25 08:40:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.003
[max_drawdown] => 0.0061
[rr_ratio] => 0.49
[high] => 0.54430000
[low] => 0.53520000
[mfe_pct] => 0.56
[mae_pct] => 1.13
[mfe_mae_ratio] => 0.49
[candles_analyzed] => 24
[start_at] => 2025-07-25T05:31:07-04:00
[end_at] => 2025-07-25T07:31:07-04:00
)
[long_term] => Array
(
[max_gain] => 0.0194
[max_drawdown] => 0.0077
[rr_ratio] => 2.52
[high] => 0.54590000
[low] => 0.51880000
[mfe_pct] => 3.6
[mae_pct] => 1.43
[mfe_mae_ratio] => 2.52
[candles_analyzed] => 72
[start_at] => 2025-07-25T05:31:07-04:00
[end_at] => 2025-07-25T11:31:07-04:00
)
[breakout] => Array
(
[high_before] => 0.54170000
[high_after] => 0.54590000
[low_before] => 0.52180000
[low_after] => 0.51880000
[is_new_high] =>
[is_new_low] => 1
)
)