Short Trade on REZ 31 May 2025 at 08:56:09
Take profit at 0.0109 (0.73 %) and Stop Loss at 0.01103 (0.46 %)
Short Trade on REZ 31 May 2025 at 08:56:09
Take profit at 0.0109 (0.73 %) and Stop Loss at 0.01103 (0.46 %)
Position size of 1668.4499 $
Take profit at 0.0109 (0.73 %) and Stop Loss at 0.01103 (0.46 %)
That's a 1.6 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.52 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.41 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.485691 |
Indicators:
103603
0.00364148
103980
0.485691
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 08:56:09 |
31 May 2025 09:00:00 |
3 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.01098 | 0.01103 | 0.0109 | 1.6 | 0.003292 |
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 = 0.01103 - 0.01098 = 5.0E-5
Récompense (distance jusqu'au take profit):
E - TP = 0.01098 - 0.0109 = 8.0E-5
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 8.0E-5 / 5.0E-5 = 1.6
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1668.4499 | 100 | 151953.539 | 16.68 |
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 / 5.0E-5 = 160000
Taille de position USD = 160000 x 0.01098 = 1756.8
Donc, tu peux acheter 160000 avec un stoploss a 0.01103
Avec un position size USD de 1756.8$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 160000 x 5.0E-5 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 160000 x 8.0E-5 = 12.8
Si Take Profit atteint, tu gagneras 12.8$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.73 % | 12.16 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.46 % | 7.6 $ |
| PNL | PNL % |
|---|---|
| -7.6 $ | -0.46 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.183970856102 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.0109
[entry_price] => 0.01098
[stop_loss] => 0.011035
[rr_ratio] => 1.45
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.0109
[entry_price] => 0.01098
[stop_loss] => 0.01104
[rr_ratio] => 1.33
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.0109
[entry_price] => 0.01098
[stop_loss] => 0.011045
[rr_ratio] => 1.23
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.0109
[entry_price] => 0.01098
[stop_loss] => 0.011055
[rr_ratio] => 1.07
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 9.9999999999996E-6
[max_drawdown] => 0.00027
[rr_ratio] => 0.04
[high] => 0.01125000
[low] => 0.01097000
[mfe_pct] => 0.09
[mae_pct] => 2.46
[mfe_mae_ratio] => 0.04
[candles_analyzed] => 24
[start_at] => 2025-05-31T08:56:09-04:00
[end_at] => 2025-05-31T10:56:09-04:00
)
[long_term] => Array
(
[max_gain] => 9.9999999999996E-6
[max_drawdown] => 0.00035
[rr_ratio] => 0.03
[high] => 0.01133000
[low] => 0.01097000
[mfe_pct] => 0.09
[mae_pct] => 3.19
[mfe_mae_ratio] => 0.03
[candles_analyzed] => 72
[start_at] => 2025-05-31T08:56:09-04:00
[end_at] => 2025-05-31T14:56:09-04:00
)
[breakout] => Array
(
[high_before] => 0.01099000
[high_after] => 0.01133000
[low_before] => 0.01074000
[low_after] => 0.01097000
[is_new_high] =>
[is_new_low] =>
)
)