Short Trade on ILV 04 Nov 2025 at 22:12:33
Take profit at 8.9232 (2.11 %) and Stop Loss at 9.2124 (1.06 %)
Short Trade on ILV 04 Nov 2025 at 22:12:33
Take profit at 8.9232 (2.11 %) and Stop Loss at 9.2124 (1.06 %)
Position size of 756.5646 $
Take profit at 8.9232 (2.11 %) and Stop Loss at 9.2124 (1.06 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.99 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.94 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.87 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear rules_regime : bear_high rules_regime_5m : range_medium |
1H_regime : bear_high 15m_regime : range_high 5m_regime : bull_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.825252 15m : 0.101307 1H : -0.017504 |
2 |
Indicators:
100889
0.00851
101748
0.825252
102699
-0.00926797
101748
0.101307
106404
-0.0437592
101748
-0.017504
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 04 Nov 2025 22:12:33 |
05 Nov 2025 03:00:00 |
4 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 9.116 | 9.2124 | 8.9232 | 2 | 3.663 |
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 = 9.2124 - 9.116 = 0.096400000000001
Récompense (distance jusqu'au take profit):
E - TP = 9.116 - 8.9232 = 0.1928
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.1928 / 0.096400000000001 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 756.5646 | 100 | 82.993 | 7.57 |
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 / 0.096400000000001 = 82.99
Taille de position USD = 82.99 x 9.116 = 756.54
Donc, tu peux acheter 82.99 avec un stoploss a 9.2124
Avec un position size USD de 756.54$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 82.99 x 0.096400000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 82.99 x 0.1928 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.11 % | 16 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.06 % | 8 $ |
| PNL | PNL % |
|---|---|
| 16 $ | 2.11 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.2304 % | 21.79 % | 4 |
Array
(
[2] => Array
(
[take_profit] => 8.9232
[stop_loss] => 9.2124
[rr_ratio] => 2
[closed_at] => 2025-11-05 03:00:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 8.875
[stop_loss] => 9.2124
[rr_ratio] => 2.5
[closed_at] => 2025-11-05 03:15:00
[result] => win
)
[3] => Array
(
[take_profit] => 8.8268
[stop_loss] => 9.2124
[rr_ratio] => 3
[closed_at] => 2025-11-05 03:20:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 8.7786
[stop_loss] => 9.2124
[rr_ratio] => 3.5
[closed_at] => 2025-11-05 03:20:00
[result] => win
)
[4] => Array
(
[take_profit] => 8.7304
[stop_loss] => 9.2124
[rr_ratio] => 4
[closed_at] => 2025-11-05 03:45:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.102
[max_drawdown] => 0.021000000000001
[rr_ratio] => 4.86
[high] => 9.13700000
[low] => 9.01400000
[mfe_pct] => 1.12
[mae_pct] => 0.23
[mfe_mae_ratio] => 4.86
[candles_analyzed] => 24
[start_at] => 2025-11-04T22:12:33-05:00
[end_at] => 2025-11-05T00:12:33-05:00
)
[long_term] => Array
(
[max_gain] => 0.403
[max_drawdown] => 0.021000000000001
[rr_ratio] => 19.19
[high] => 9.13700000
[low] => 8.71300000
[mfe_pct] => 4.42
[mae_pct] => 0.23
[mfe_mae_ratio] => 19.19
[candles_analyzed] => 84
[start_at] => 2025-11-04T22:12:33-05:00
[end_at] => 2025-11-05T05:12:33-05:00
)
[breakout] => Array
(
[high_before] => 9.13400000
[high_after] => 9.13700000
[low_before] => 8.49900000
[low_after] => 8.71300000
[is_new_high] =>
[is_new_low] =>
)
)