Short Trade on FORM 01 Sep 2025 at 03:39:36
Take profit at 2.9012 (2.4 %) and Stop Loss at 3.0201 (1.6 %)
Short Trade on FORM 01 Sep 2025 at 03:39:36
Take profit at 2.9012 (2.4 %) and Stop Loss at 3.0201 (1.6 %)
Position size of 500.0247 $
Take profit at 2.9012 (2.4 %) and Stop Loss at 3.0201 (1.6 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.83 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.55 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.67 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.203744 |
1 |
Indicators:
107931
0.0060211
108581
0.203744
108308
0.0040864
108751
109496
-0.00836097
108581
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 03:39:36 |
01 Sep 2025 03:40:00 |
24 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.9725 | 3.0201 | 2.9012 | 1.5 | 0.1934 |
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 = 3.0201 - 2.9725 = 0.0476
Récompense (distance jusqu'au take profit):
E - TP = 2.9725 - 2.9012 = 0.0713
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0713 / 0.0476 = 1.4979
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 500.0247 | 100 | 168.2169 | 5.00 |
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 / 0.0476 = 168.07
Taille de position USD = 168.07 x 2.9725 = 499.59
Donc, tu peux acheter 168.07 avec un stoploss a 3.0201
Avec un position size USD de 499.59$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 168.07 x 0.0476 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 168.07 x 0.0713 = 11.98
Si Take Profit atteint, tu gagneras 11.98$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.4 % | 11.99 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.6 % | 8.01 $ |
| PNL | PNL % |
|---|---|
| -8.01 $ | -1.60 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.0454 % | 127.73 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.9012
[entry_price] => 2.9725
[stop_loss] => 3.02486
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 03:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.9012
[entry_price] => 2.9725
[stop_loss] => 3.02962
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 03:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.9012
[entry_price] => 2.9725
[stop_loss] => 3.03438
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 04:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.9012
[entry_price] => 2.9725
[stop_loss] => 3.0439
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 04:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0028000000000001
[max_drawdown] => 0.1348
[rr_ratio] => 0.02
[high] => 3.10730000
[low] => 2.96970000
[mfe_pct] => 0.09
[mae_pct] => 4.53
[mfe_mae_ratio] => 0.02
[candles_analyzed] => 24
[start_at] => 2025-09-01T03:39:36-04:00
[end_at] => 2025-09-01T05:39:36-04:00
)
[long_term] => Array
(
[max_gain] => 0.2077
[max_drawdown] => 0.2031
[rr_ratio] => 1.02
[high] => 3.17560000
[low] => 2.76480000
[mfe_pct] => 6.99
[mae_pct] => 6.83
[mfe_mae_ratio] => 1.02
[candles_analyzed] => 84
[start_at] => 2025-09-01T03:39:36-04:00
[end_at] => 2025-09-01T10:39:36-04:00
)
[breakout] => Array
(
[high_before] => 3.03100000
[high_after] => 3.11400000
[low_before] => 2.81550000
[low_after] => 2.76480000
[is_new_high] =>
[is_new_low] => 1
)
)