Short Trade on WIF 26 Jun 2025 at 21:15:43
Take profit at 0.7566 (1.23 %) and Stop Loss at 0.7723 (0.82 %)
Short Trade on WIF 26 Jun 2025 at 21:15:43
Take profit at 0.7566 (1.23 %) and Stop Loss at 0.7723 (0.82 %)
Position size of 979.1887 $
Take profit at 0.7566 (1.23 %) and Stop Loss at 0.7723 (0.82 %)
That's a 1.49 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.54 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.44 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.780492 |
Indicators:
107113
-0.0025189
106843
0.780492
107243
-0.00372862
106843
105630
0.0114878
106843
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 26 Jun 2025 21:15:43 |
26 Jun 2025 22:10:00 |
54 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.766 | 0.7723 | 0.7566 | 1.49 | 0.2035 |
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 = 0.7723 - 0.766 = 0.0063
Récompense (distance jusqu'au take profit):
E - TP = 0.766 - 0.7566 = 0.0094
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0094 / 0.0063 = 1.4921
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 979.1887 | 100 | 1278.3142 | 9.79 |
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 / 0.0063 = 1269.84
Taille de position USD = 1269.84 x 0.766 = 972.7
Donc, tu peux acheter 1269.84 avec un stoploss a 0.7723
Avec un position size USD de 972.7$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1269.84 x 0.0063 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1269.84 x 0.0094 = 11.94
Si Take Profit atteint, tu gagneras 11.94$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.23 % | 12.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.82 % | 8.05 $ |
| PNL | PNL % |
|---|---|
| -8.05 $ | -0.82 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.8225 % | 100 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.7566
[entry_price] => 0.766
[stop_loss] => 0.77293
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-26 22:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.7566
[entry_price] => 0.766
[stop_loss] => 0.77356
[rr_ratio] => 1.24
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-26 22:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.7566
[entry_price] => 0.766
[stop_loss] => 0.77419
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-26 22:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.7566
[entry_price] => 0.766
[stop_loss] => 0.77545
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-26 22:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0067
[max_drawdown] => 0.0165
[rr_ratio] => 0.41
[high] => 0.78250000
[low] => 0.75930000
[mfe_pct] => 0.87
[mae_pct] => 2.15
[mfe_mae_ratio] => 0.41
[candles_analyzed] => 24
[start_at] => 2025-06-26T21:15:43-04:00
[end_at] => 2025-06-26T23:15:43-04:00
)
[long_term] => Array
(
[max_gain] => 0.0067
[max_drawdown] => 0.0576
[rr_ratio] => 0.12
[high] => 0.82360000
[low] => 0.75930000
[mfe_pct] => 0.87
[mae_pct] => 7.52
[mfe_mae_ratio] => 0.12
[candles_analyzed] => 72
[start_at] => 2025-06-26T21:15:43-04:00
[end_at] => 2025-06-27T03:15:43-04:00
)
[breakout] => Array
(
[high_before] => 0.76940000
[high_after] => 0.82360000
[low_before] => 0.74680000
[low_after] => 0.75930000
[is_new_high] =>
[is_new_low] =>
)
)