Short Trade on WLD 30 Aug 2025 at 19:19:18
Take profit at 0.9018 (0.34 %) and Stop Loss at 0.907 (0.23 %)
Short Trade on WLD 30 Aug 2025 at 19:19:18
Take profit at 0.9018 (0.34 %) and Stop Loss at 0.907 (0.23 %)
Position size of 3485.5059 $
Take profit at 0.9018 (0.34 %) and Stop Loss at 0.907 (0.23 %)
That's a 1.48 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.78 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.74 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.85 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_low rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.738197 |
1 |
Indicators:
108592
2.91881E-6
108593
0.738197
108484
0.000997448
108593
109984
-0.0126505
108593
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 30 Aug 2025 19:19:18 |
30 Aug 2025 20:00:00 |
40 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.9049 | 0.907 | 0.9018 | 1.48 | 0.3894 |
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 = 0.907 - 0.9049 = 0.0021
Récompense (distance jusqu'au take profit):
E - TP = 0.9049 - 0.9018 = 0.0031
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0031 / 0.0021 = 1.4762
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 3485.5059 | 100 | 3851.8134 | 34.86 |
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 / 0.0021 = 3809.52
Taille de position USD = 3809.52 x 0.9049 = 3447.23
Donc, tu peux acheter 3809.52 avec un stoploss a 0.907
Avec un position size USD de 3447.23$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 3809.52 x 0.0021 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 3809.52 x 0.0031 = 11.81
Si Take Profit atteint, tu gagneras 11.81$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.34 % | 11.94 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.23 % | 8.09 $ |
| PNL | PNL % |
|---|---|
| -8.09 $ | -0.23 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.2431 % | 104.74 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.9018
[entry_price] => 0.9049
[stop_loss] => 0.90721
[rr_ratio] => 1.34
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-30 20:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.9018
[entry_price] => 0.9049
[stop_loss] => 0.90742
[rr_ratio] => 1.23
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-30 20:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.9018
[entry_price] => 0.9049
[stop_loss] => 0.90763
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-30 20:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.9018
[entry_price] => 0.9049
[stop_loss] => 0.90805
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-30 20:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0029
[max_drawdown] => 0.0102
[rr_ratio] => 0.28
[high] => 0.91510000
[low] => 0.90200000
[mfe_pct] => 0.32
[mae_pct] => 1.13
[mfe_mae_ratio] => 0.28
[candles_analyzed] => 24
[start_at] => 2025-08-30T19:19:18-04:00
[end_at] => 2025-08-30T21:19:18-04:00
)
[long_term] => Array
(
[max_gain] => 0.0029
[max_drawdown] => 0.0128
[rr_ratio] => 0.23
[high] => 0.91770000
[low] => 0.90200000
[mfe_pct] => 0.32
[mae_pct] => 1.41
[mfe_mae_ratio] => 0.23
[candles_analyzed] => 84
[start_at] => 2025-08-30T19:19:18-04:00
[end_at] => 2025-08-31T02:19:18-04:00
)
[breakout] => Array
(
[high_before] => 0.90490000
[high_after] => 0.91770000
[low_before] => 0.89550000
[low_after] => 0.90200000
[is_new_high] =>
[is_new_low] =>
)
)