Long Trade on JUP
The 09 Dec 2025 at 16:39:56
With 5690.1063 JUP at 0.2332$ per unit.
Position size of 1326.9328 $
Take profit at 0.236 (1.2 %) and Stop Loss at 0.2318 (0.6 %)
That's a 2 RR TradePosition size of 1326.9328 $
Take profit at 0.236 (1.2 %) and Stop Loss at 0.2318 (0.6 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.92 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.73 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.9 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : bull_high rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : bull_high 5m_regime : bear_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.763091 15m : -0.136119 1H : -0.051469 |
2 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 09 Dec 2025 16:39:56 |
09 Dec 2025 16:45:00 |
5 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2332 | 0.2318 | 0.236 | 2 | 0.188 |
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 = 0.2318 - 0.2332 = -0.0014
Récompense (distance jusqu'au take profit):
E - TP = 0.2332 - 0.236 = -0.0028
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0028 / -0.0014 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1326.9328 | 100 | 5690.1063 | 13.27 |
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 0.2332 = -1332.57
Donc, tu peux acheter -5714.29 avec un stoploss a 0.2318
Avec un position size USD de -1332.57$
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 -0.0028 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.2 % | 15.93 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.6 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -0.60 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.1578 % | 192.87 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.236
[entry_price] => 0.2332
[stop_loss] => 0.23166
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-09 16:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.236
[entry_price] => 0.2332
[stop_loss] => 0.23152
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-09 16:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.236
[entry_price] => 0.2332
[stop_loss] => 0.23138
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-09 16:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.236
[entry_price] => 0.2332
[stop_loss] => 0.2311
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-09 16:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0012
[max_drawdown] => 0.0039
[rr_ratio] => 0.31
[high] => 0.23440000
[low] => 0.22930000
[mfe_pct] => 0.51
[mae_pct] => 1.67
[mfe_mae_ratio] => 0.31
[candles_analyzed] => 24
[start_at] => 2025-12-09T16:39:56-05:00
[end_at] => 2025-12-09T18:39:56-05:00
)
[long_term] => Array
(
[max_gain] => 0.0012
[max_drawdown] => 0.0043
[rr_ratio] => 0.28
[high] => 0.23440000
[low] => 0.22890000
[mfe_pct] => 0.51
[mae_pct] => 1.84
[mfe_mae_ratio] => 0.28
[candles_analyzed] => 84
[start_at] => 2025-12-09T16:39:56-05:00
[end_at] => 2025-12-09T23:39:56-05:00
)
[breakout] => Array
(
[high_before] => 0.24490000
[high_after] => 0.23440000
[low_before] => 0.23300000
[low_after] => 0.22890000
[is_new_high] =>
[is_new_low] =>
)
)