Short Trade on ZRO
The 28 Mar 2025 at 15:14:53
With 385.5133 ZRO at 2.929$ per unit.
Position size of 1129.1685 $
Take profit at 2.8979 (1.06 %) and Stop Loss at 2.9498 (0.71 %)
That's a 1.5 RR TradePosition size of 1129.1685 $
Take profit at 2.8979 (1.06 %) and Stop Loss at 2.9498 (0.71 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
|
n/a |
| Prediction 2 | Probability |
|---|---|
| n/a |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
| Start at | Closed at | Duration |
|---|---|---|
| 28 Mar 2025 15:14:53 |
28 Mar 2025 15:20:00 |
5 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.929 | 2.9498 | 2.8979 | 1.5 | 1.4561 |
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 = 2.9498 - 2.929 = 0.0208
Récompense (distance jusqu'au take profit):
E - TP = 2.929 - 2.8979 = 0.0311
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0311 / 0.0208 = 1.4952
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1129.1685 | 1129.1685 | 385.5133 | 11.29 |
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 / 0.0208 = 384.62
Taille de position USD = 384.62 x 2.929 = 1126.55
Donc, tu peux acheter 384.62 avec un stoploss a 2.9498
Avec un position size USD de 1126.55$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 384.62 x 0.0208 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 384.62 x 0.0311 = 11.96
Si Take Profit atteint, tu gagneras 11.96$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.06 % | 11.99 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.71 % | 8.02 $ |
| PNL | PNL % |
|---|---|
| 11.99 $ | 1.06 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| 0 % | 0 % | 0 |
Array
(
[2] => Array
(
[take_profit] => 2.887
[stop_loss] => 2.95
[rr_ratio] => 2
[closed_at] => 2025-03-28 15:30:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 2.8765
[stop_loss] => 2.95
[rr_ratio] => 2.5
[closed_at] => 2025-03-28 15:40:00
[result] => win
)
[3] => Array
(
[take_profit] => 2.866
[stop_loss] => 2.95
[rr_ratio] => 3
[closed_at] => 2025-03-28 15:50:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 2.8555
[stop_loss] => 2.95
[rr_ratio] => 3.5
[closed_at] => 2025-03-28 16:00:00
[result] => win
)
[4] => Array
(
[take_profit] => 2.845
[stop_loss] => 2.95
[rr_ratio] => 4
[closed_at] => 2025-03-28 17:05:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 2.8345
[stop_loss] => 2.95
[rr_ratio] => 4.5
[closed_at] => 2025-03-28 17:20:00
[result] => win
)
[5] => Array
(
[take_profit] => 2.824
[stop_loss] => 2.95
[rr_ratio] => 5
[closed_at] => 2025-03-28 20:30:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 2.8146
[stop_loss] => 2.9498
[rr_ratio] => 5.5
[closed_at] => 2025-03-28 20:30:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.093
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 2.92900000
[low] => 2.83600000
[mfe_pct] => 3.18
[mae_pct] => 0
[mfe_mae_ratio] =>
[candles_analyzed] => 24
[start_at] => 2025-03-28T15:14:53-04:00
[end_at] => 2025-03-28T17:14:53-04:00
)
[long_term] => Array
(
[max_gain] => 0.115
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 2.92900000
[low] => 2.81400000
[mfe_pct] => 3.93
[mae_pct] => 0
[mfe_mae_ratio] =>
[candles_analyzed] => 72
[start_at] => 2025-03-28T15:14:53-04:00
[end_at] => 2025-03-28T21:14:53-04:00
)
[breakout] => Array
(
[high_before] => 2.93600000
[high_after] => 2.92900000
[low_before] => 2.82400000
[low_after] => 2.81400000
[is_new_high] =>
[is_new_low] => 1
)
)