Short Trade on ZRO 01 Sep 2025 at 03:38:03
Take profit at 1.8489 (0.65 %) and Stop Loss at 1.869 (0.43 %)
Short Trade on ZRO 01 Sep 2025 at 03:38:03
Take profit at 1.8489 (0.65 %) and Stop Loss at 1.869 (0.43 %)
Position size of 1852.8037 $
Take profit at 1.8489 (0.65 %) and Stop Loss at 1.869 (0.43 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.76 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.45 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.54 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.750164 |
1 |
Indicators:
107931
0.00608012
108587
0.750164
108308
0.0040864
108751
109496
-0.00830277
108587
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 03:38:03 |
01 Sep 2025 03:45:00 |
6 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.861 | 1.869 | 1.8489 | 1.51 | 1.7185 |
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 = 1.869 - 1.861 = 0.008
Récompense (distance jusqu'au take profit):
E - TP = 1.861 - 1.8489 = 0.0121
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0121 / 0.008 = 1.5125
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1852.8037 | 100 | 995.5958 | 18.53 |
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 / 0.008 = 1000
Taille de position USD = 1000 x 1.861 = 1861
Donc, tu peux acheter 1000 avec un stoploss a 1.869
Avec un position size USD de 1861$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1000 x 0.008 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1000 x 0.0121 = 12.1
Si Take Profit atteint, tu gagneras 12.1$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.65 % | 12.05 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.43 % | 7.96 $ |
| PNL | PNL % |
|---|---|
| -7.96 $ | -0.43 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9135 % | 212.49 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.8489
[entry_price] => 1.861
[stop_loss] => 1.8698
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 03:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.8489
[entry_price] => 1.861
[stop_loss] => 1.8706
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 03:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.8489
[entry_price] => 1.861
[stop_loss] => 1.8714
[rr_ratio] => 1.16
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 03:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.8489
[entry_price] => 1.861
[stop_loss] => 1.873
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 03:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0
[max_drawdown] => 0.048
[rr_ratio] => 0
[high] => 1.90900000
[low] => 1.86100000
[mfe_pct] => 0
[mae_pct] => 2.58
[mfe_mae_ratio] => 0
[candles_analyzed] => 24
[start_at] => 2025-09-01T03:38:03-04:00
[end_at] => 2025-09-01T05:38:03-04:00
)
[long_term] => Array
(
[max_gain] => 0.029
[max_drawdown] => 0.048
[rr_ratio] => 0.6
[high] => 1.90900000
[low] => 1.83200000
[mfe_pct] => 1.56
[mae_pct] => 2.58
[mfe_mae_ratio] => 0.6
[candles_analyzed] => 84
[start_at] => 2025-09-01T03:38:03-04:00
[end_at] => 2025-09-01T10:38:03-04:00
)
[breakout] => Array
(
[high_before] => 1.86700000
[high_after] => 1.90900000
[low_before] => 1.82400000
[low_after] => 1.84100000
[is_new_high] =>
[is_new_low] =>
)
)