Short Trade on JUP
The 07 Dec 2025 at 20:35:31
With 5892.3782 JUP at 0.2234$ per unit.
Position size of 1316.3573 $
Take profit at 0.2207 (1.21 %) and Stop Loss at 0.2248 (0.63 %)
That's a 1.93 RR TradePosition size of 1316.3573 $
Take profit at 0.2207 (1.21 %) and Stop Loss at 0.2248 (0.63 %)
That's a 1.93 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.61 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.51 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.56 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : range_medium rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : range_high 5m_regime : range_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.822819 15m : -0.059578 1H : 0.061179 |
0 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 07 Dec 2025 20:35:31 |
07 Dec 2025 20:40:00 |
4 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2234 | 0.2248 | 0.2207 | 1.93 | 0.1878 |
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 = 0.2248 - 0.2234 = 0.0014
Récompense (distance jusqu'au take profit):
E - TP = 0.2234 - 0.2207 = 0.0027
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0027 / 0.0014 = 1.9286
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1316.3573 | 100 | 5892.3782 | 13.16 |
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 / 0.0014 = 5714.29
Taille de position USD = 5714.29 x 0.2234 = 1276.57
Donc, tu peux acheter 5714.29 avec un stoploss a 0.2248
Avec un position size USD de 1276.57$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 5714.29 x 0.0014 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 5714.29 x 0.0027 = 15.43
Si Take Profit atteint, tu gagneras 15.43$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.21 % | 15.91 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.63 % | 8.25 $ |
| PNL | PNL % |
|---|---|
| -8.25 $ | -0.63 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6267 % | 100 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2207
[entry_price] => 0.2234
[stop_loss] => 0.22494
[rr_ratio] => 1.75
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-07 23:25:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2207
[entry_price] => 0.2234
[stop_loss] => 0.22508
[rr_ratio] => 1.61
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-07 23:25:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2207
[entry_price] => 0.2234
[stop_loss] => 0.22522
[rr_ratio] => 1.48
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-07 23:25:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2207
[entry_price] => 0.2234
[stop_loss] => 0.2255
[rr_ratio] => 1.29
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-07 23:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0024
[max_drawdown] => 0.0014
[rr_ratio] => 1.71
[high] => 0.22480000
[low] => 0.22100000
[mfe_pct] => 1.07
[mae_pct] => 0.63
[mfe_mae_ratio] => 1.71
[candles_analyzed] => 24
[start_at] => 2025-12-07T20:35:31-05:00
[end_at] => 2025-12-07T22:35:31-05:00
)
[long_term] => Array
(
[max_gain] => 0.0024
[max_drawdown] => 0.0037
[rr_ratio] => 0.65
[high] => 0.22710000
[low] => 0.22100000
[mfe_pct] => 1.07
[mae_pct] => 1.66
[mfe_mae_ratio] => 0.65
[candles_analyzed] => 84
[start_at] => 2025-12-07T20:35:31-05:00
[end_at] => 2025-12-08T03:35:31-05:00
)
[breakout] => Array
(
[high_before] => 0.22530000
[high_after] => 0.22710000
[low_before] => 0.21640000
[low_after] => 0.22100000
[is_new_high] =>
[is_new_low] =>
)
)