Short Trade on JUP 22 Jun 2025 at 18:51:56
Take profit at 0.3402 (1.25 %) and Stop Loss at 0.3474 (0.84 %)
Short Trade on JUP 22 Jun 2025 at 18:51:56
Take profit at 0.3402 (1.25 %) and Stop Loss at 0.3474 (0.84 %)
Position size of 958.2407 $
Take profit at 0.3402 (1.25 %) and Stop Loss at 0.3474 (0.84 %)
That's a 1.48 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.7 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.53 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.764788 |
Indicators:
99467.6
0.0110341
100565
0.764788
100764
-0.00202806
100559
102792
-0.0216638
100565
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Jun 2025 18:51:56 |
22 Jun 2025 20:20:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.3445 | 0.3474 | 0.3402 | 1.48 | 0.1754 |
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 = 0.3474 - 0.3445 = 0.0029
Récompense (distance jusqu'au take profit):
E - TP = 0.3445 - 0.3402 = 0.0043
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0043 / 0.0029 = 1.4828
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 958.2407 | 100 | 2781.5406 | 9.58 |
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 / 0.0029 = 2758.62
Taille de position USD = 2758.62 x 0.3445 = 950.34
Donc, tu peux acheter 2758.62 avec un stoploss a 0.3474
Avec un position size USD de 950.34$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 2758.62 x 0.0029 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 2758.62 x 0.0043 = 11.86
Si Take Profit atteint, tu gagneras 11.86$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.25 % | 11.96 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.84 % | 8.07 $ |
| PNL | PNL % |
|---|---|
| -8.07 $ | -0.84 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9579 % | 113.79 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.3402
[entry_price] => 0.3445
[stop_loss] => 0.34769
[rr_ratio] => 1.35
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-22 20:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.3402
[entry_price] => 0.3445
[stop_loss] => 0.34798
[rr_ratio] => 1.24
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-22 20:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.3402
[entry_price] => 0.3445
[stop_loss] => 0.34827
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-22 20:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.3402
[entry_price] => 0.3445
[stop_loss] => 0.34885
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-22 20:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00019999999999998
[max_drawdown] => 0.0045
[rr_ratio] => 0.04
[high] => 0.34900000
[low] => 0.34430000
[mfe_pct] => 0.06
[mae_pct] => 1.31
[mfe_mae_ratio] => 0.04
[candles_analyzed] => 24
[start_at] => 2025-06-22T18:51:56-04:00
[end_at] => 2025-06-22T20:51:56-04:00
)
[long_term] => Array
(
[max_gain] => 0.0014
[max_drawdown] => 0.0047
[rr_ratio] => 0.3
[high] => 0.34920000
[low] => 0.34310000
[mfe_pct] => 0.41
[mae_pct] => 1.36
[mfe_mae_ratio] => 0.3
[candles_analyzed] => 72
[start_at] => 2025-06-22T18:51:56-04:00
[end_at] => 2025-06-23T00:51:56-04:00
)
[breakout] => Array
(
[high_before] => 0.34600000
[high_after] => 0.34920000
[low_before] => 0.32540000
[low_after] => 0.34310000
[is_new_high] =>
[is_new_low] =>
)
)