Short Trade on FIL 16 Sep 2025 at 03:50:00
Take profit at 2.4063 (0.53 %) and Stop Loss at 2.4254 (0.26 %)
Short Trade on FIL 16 Sep 2025 at 03:50:00
Take profit at 2.4063 (0.53 %) and Stop Loss at 2.4254 (0.26 %)
Position size of 3038.754 $
Take profit at 2.4063 (0.53 %) and Stop Loss at 2.4254 (0.26 %)
That's a 1.98 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.83 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.65 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.58 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : bull_low rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : range_low 5m_regime : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.650438 15m : -0.016071 1H : -0.067166 |
0 |
Indicators:
115488
0.00238284
115763
0.650438
115396
0.00318607
115763
-0.016071
115422
0.00296006
115763
-0.067166
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 16 Sep 2025 03:50:00 |
16 Sep 2025 04:05:00 |
15 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.419 | 2.4254 | 2.4063 | 1.98 | 0.9884 |
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 = 2.4254 - 2.419 = 0.0063999999999997
Récompense (distance jusqu'au take profit):
E - TP = 2.419 - 2.4063 = 0.0127
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0127 / 0.0063999999999997 = 1.9844
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 3038.754 | 100 | 1256.2026 | 30.39 |
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 / 0.0063999999999997 = 1250
Taille de position USD = 1250 x 2.419 = 3023.75
Donc, tu peux acheter 1250 avec un stoploss a 2.4254
Avec un position size USD de 3023.75$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1250 x 0.0063999999999997 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1250 x 0.0127 = 15.88
Si Take Profit atteint, tu gagneras 15.88$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.53 % | 15.95 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.26 % | 8.04 $ |
| PNL | PNL % |
|---|---|
| -8.04 $ | -0.26 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.3307 % | 124.98 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.4063
[entry_price] => 2.419
[stop_loss] => 2.42604
[rr_ratio] => 1.8
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-16 04:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.4063
[entry_price] => 2.419
[stop_loss] => 2.42668
[rr_ratio] => 1.65
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-16 04:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.4063
[entry_price] => 2.419
[stop_loss] => 2.42732
[rr_ratio] => 1.53
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-16 04:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.4063
[entry_price] => 2.419
[stop_loss] => 2.4286
[rr_ratio] => 1.32
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-16 04:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0060000000000002
[max_drawdown] => 0.017
[rr_ratio] => 0.35
[high] => 2.43600000
[low] => 2.41300000
[mfe_pct] => 0.25
[mae_pct] => 0.7
[mfe_mae_ratio] => 0.35
[candles_analyzed] => 25
[start_at] => 2025-09-16T03:50:00-04:00
[end_at] => 2025-09-16T05:50:00-04:00
)
[long_term] => Array
(
[max_gain] => 0.008
[max_drawdown] => 0.042
[rr_ratio] => 0.19
[high] => 2.46100000
[low] => 2.41100000
[mfe_pct] => 0.33
[mae_pct] => 1.74
[mfe_mae_ratio] => 0.19
[candles_analyzed] => 85
[start_at] => 2025-09-16T03:50:00-04:00
[end_at] => 2025-09-16T10:50:00-04:00
)
[breakout] => Array
(
[high_before] => 2.42100000
[high_after] => 2.46100000
[low_before] => 2.37400000
[low_after] => 2.41300000
[is_new_high] =>
[is_new_low] =>
)
)