Short Trade on UXLINK 15 May 2025 at 13:24:05
Take profit at 0.4636 (0.86 %) and Stop Loss at 0.4703 (0.58 %)
Short Trade on UXLINK 15 May 2025 at 13:24:05
Take profit at 0.4636 (0.86 %) and Stop Loss at 0.4703 (0.58 %)
Position size of 1405.4366 $
Take profit at 0.4636 (0.86 %) and Stop Loss at 0.4703 (0.58 %)
That's a 1.48 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.62 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.52 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.794336 |
Indicators:
102566
0.0145189
104055
0.794336
102754
0.0126589
104055
103329
0.00702607
104055
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 15 May 2025 13:24:05 |
15 May 2025 13:35:00 |
10 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.4676 | 0.4703 | 0.4636 | 1.48 | 0.074 |
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 = 0.4703 - 0.4676 = 0.0027
Récompense (distance jusqu'au take profit):
E - TP = 0.4676 - 0.4636 = 0.004
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.004 / 0.0027 = 1.4815
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1405.4366 | 100 | 3005.6385 | 14.05 |
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 / 0.0027 = 2962.96
Taille de position USD = 2962.96 x 0.4676 = 1385.48
Donc, tu peux acheter 2962.96 avec un stoploss a 0.4703
Avec un position size USD de 1385.48$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 2962.96 x 0.0027 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 2962.96 x 0.004 = 11.85
Si Take Profit atteint, tu gagneras 11.85$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.86 % | 12.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.58 % | 8.12 $ |
| PNL | PNL % |
|---|---|
| -8.12 $ | -0.58 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.64157399486741 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.4636
[entry_price] => 0.4676
[stop_loss] => 0.47057
[rr_ratio] => 1.35
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-15 13:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.4636
[entry_price] => 0.4676
[stop_loss] => 0.47084
[rr_ratio] => 1.23
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-15 13:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.4636
[entry_price] => 0.4676
[stop_loss] => 0.47111
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-15 13:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.4636
[entry_price] => 0.4676
[stop_loss] => 0.47165
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-15 14:20:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0127
[max_drawdown] => 0.0037
[rr_ratio] => 3.43
[high] => 0.47130000
[low] => 0.45490000
[mfe_pct] => 2.72
[mae_pct] => 0.79
[mfe_mae_ratio] => 3.43
[candles_analyzed] => 24
[start_at] => 2025-05-15T13:24:05-04:00
[end_at] => 2025-05-15T15:24:05-04:00
)
[long_term] => Array
(
[max_gain] => 0.018
[max_drawdown] => 0.0037
[rr_ratio] => 4.86
[high] => 0.47130000
[low] => 0.44960000
[mfe_pct] => 3.85
[mae_pct] => 0.79
[mfe_mae_ratio] => 4.86
[candles_analyzed] => 72
[start_at] => 2025-05-15T13:24:05-04:00
[end_at] => 2025-05-15T19:24:05-04:00
)
[breakout] => Array
(
[high_before] => 0.46890000
[high_after] => 0.47130000
[low_before] => 0.44680000
[low_after] => 0.44960000
[is_new_high] =>
[is_new_low] =>
)
)