Short Trade on ZRO 31 May 2025 at 08:56:45
Take profit at 2.2212 (0.79 %) and Stop Loss at 2.2508 (0.53 %)
Short Trade on ZRO 31 May 2025 at 08:56:45
Take profit at 2.2212 (0.79 %) and Stop Loss at 2.2508 (0.53 %)
Position size of 1512.06 $
Take profit at 2.2212 (0.79 %) and Stop Loss at 2.2508 (0.53 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.5 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.49 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.67205 |
Indicators:
103603
0.00364148
103980
0.67205
104119
-0.00133329
103980
106329
-0.0220916
103980
Market Structure Score: 0
No Market Structure V2 data for this trade.
| Start at | Closed at | Duration |
|---|---|---|
| 31 May 2025 08:56:45 |
31 May 2025 09:00:00 |
3 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.239 | 2.2508 | 2.2212 | 1.51 | 2.0374 |
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 = 2.2508 - 2.239 = 0.0118
Récompense (distance jusqu'au take profit):
E - TP = 2.239 - 2.2212 = 0.0178
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0178 / 0.0118 = 1.5085
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1512.06 | 100 | 675.3283 | 15.12 |
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 / 0.0118 = 677.97
Taille de position USD = 677.97 x 2.239 = 1517.97
Donc, tu peux acheter 677.97 avec un stoploss a 2.2508
Avec un position size USD de 1517.97$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 677.97 x 0.0118 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 677.97 x 0.0178 = 12.07
Si Take Profit atteint, tu gagneras 12.07$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.79 % | 12.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.53 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -8.1 $ | -0.54 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.66994193836535 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.221
[entry_price] => 2.239
[stop_loss] => 2.2522
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.221
[entry_price] => 2.239
[stop_loss] => 2.2534
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.221
[entry_price] => 2.239
[stop_loss] => 2.2546
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-31 09:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.221
[entry_price] => 2.239
[stop_loss] => 2.257
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-31 09:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.012
[max_drawdown] => 0.023
[rr_ratio] => 0.52
[high] => 2.26200000
[low] => 2.22700000
[mfe_pct] => 0.54
[mae_pct] => 1.03
[mfe_mae_ratio] => 0.52
[candles_analyzed] => 24
[start_at] => 2025-05-31T08:56:45-04:00
[end_at] => 2025-05-31T10:56:45-04:00
)
[long_term] => Array
(
[max_gain] => 0.012
[max_drawdown] => 0.046
[rr_ratio] => 0.26
[high] => 2.28500000
[low] => 2.22700000
[mfe_pct] => 0.54
[mae_pct] => 2.05
[mfe_mae_ratio] => 0.26
[candles_analyzed] => 72
[start_at] => 2025-05-31T08:56:45-04:00
[end_at] => 2025-05-31T14:56:45-04:00
)
[breakout] => Array
(
[high_before] => 2.24500000
[high_after] => 2.28500000
[low_before] => 2.19300000
[low_after] => 2.22700000
[is_new_high] =>
[is_new_low] =>
)
)