Short Trade on POPCAT 05 Jul 2025 at 19:11:18
Take profit at 0.2927 (0.54 %) and Stop Loss at 0.2954 (0.37 %)
Short Trade on POPCAT 05 Jul 2025 at 19:11:18
Take profit at 0.2927 (0.54 %) and Stop Loss at 0.2954 (0.37 %)
Position size of 2189.6828 $
Take profit at 0.2927 (0.54 %) and Stop Loss at 0.2954 (0.37 %)
That's a 1.45 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.59 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.56 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.461943 |
Indicators:
108046
0.00102571
108157
0.461943
108036
0.00111279
108157
107988
0.00156062
108157
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 05 Jul 2025 19:11:18 |
05 Jul 2025 19:15:00 |
3 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2943 | 0.2954 | 0.2927 | 1.45 | 0.04877 |
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 = 0.2954 - 0.2943 = 0.0011
Récompense (distance jusqu'au take profit):
E - TP = 0.2943 - 0.2927 = 0.0016
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0016 / 0.0011 = 1.4545
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2189.6828 | 100 | 7440.3086 | 21.90 |
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 / 0.0011 = 7272.73
Taille de position USD = 7272.73 x 0.2943 = 2140.36
Donc, tu peux acheter 7272.73 avec un stoploss a 0.2954
Avec un position size USD de 2140.36$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 7272.73 x 0.0011 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 7272.73 x 0.0016 = 11.64
Si Take Profit atteint, tu gagneras 11.64$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.54 % | 11.9 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.37 % | 8.18 $ |
| PNL | PNL % |
|---|---|
| -8.18 $ | -0.37 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6116 % | 163.62 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2927
[entry_price] => 0.2943
[stop_loss] => 0.29551
[rr_ratio] => 1.32
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-05 19:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2927
[entry_price] => 0.2943
[stop_loss] => 0.29562
[rr_ratio] => 1.21
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-05 19:15:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2927
[entry_price] => 0.2943
[stop_loss] => 0.29573
[rr_ratio] => 1.12
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-05 19:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2927
[entry_price] => 0.2943
[stop_loss] => 0.29595
[rr_ratio] => 0.97
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-05 19:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00090000000000001
[max_drawdown] => 0.002
[rr_ratio] => 0.45
[high] => 0.29630000
[low] => 0.29340000
[mfe_pct] => 0.31
[mae_pct] => 0.68
[mfe_mae_ratio] => 0.45
[candles_analyzed] => 24
[start_at] => 2025-07-05T19:11:18-04:00
[end_at] => 2025-07-05T21:11:18-04:00
)
[long_term] => Array
(
[max_gain] => 0.0022
[max_drawdown] => 0.0052
[rr_ratio] => 0.42
[high] => 0.29950000
[low] => 0.29210000
[mfe_pct] => 0.75
[mae_pct] => 1.77
[mfe_mae_ratio] => 0.42
[candles_analyzed] => 72
[start_at] => 2025-07-05T19:11:18-04:00
[end_at] => 2025-07-06T01:11:18-04:00
)
[breakout] => Array
(
[high_before] => 0.29600000
[high_after] => 0.29950000
[low_before] => 0.28700000
[low_after] => 0.29210000
[is_new_high] =>
[is_new_low] =>
)
)