Short Trade on LEVER 05 Jul 2025 at 15:40:48
Take profit at 0.0001518 (2.5 %) and Stop Loss at 0.0001583 (1.67 %)
Short Trade on LEVER 05 Jul 2025 at 15:40:48
Take profit at 0.0001518 (2.5 %) and Stop Loss at 0.0001583 (1.67 %)
Position size of 479.8099 $
Take profit at 0.0001518 (2.5 %) and Stop Loss at 0.0001583 (1.67 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.68 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.61 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.016066 |
Indicators:
108007
-0.000174278
107988
0.016066
107931
0.000620703
107998
108001
-0.000122163
107988
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 05 Jul 2025 15:40:48 |
05 Jul 2025 16:00:00 |
19 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.0001557 | 0.0001583 | 0.0001518 | 1.5 | 0.0001457 |
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 = 0.0001583 - 0.0001557 = 2.6E-6
Récompense (distance jusqu'au take profit):
E - TP = 0.0001557 - 0.0001518 = 3.9E-6
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 3.9E-6 / 2.6E-6 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 479.8099 | 100 | 3081630.5639 | 4.80 |
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 / 2.6E-6 = 3076923.08
Taille de position USD = 3076923.08 x 0.0001557 = 479.08
Donc, tu peux acheter 3076923.08 avec un stoploss a 0.0001583
Avec un position size USD de 479.08$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 3076923.08 x 2.6E-6 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 3076923.08 x 3.9E-6 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.5 % | 12.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.67 % | 8.01 $ |
| PNL | PNL % |
|---|---|
| -8.01 $ | -1.67 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.5048 % | 150 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.0001518
[entry_price] => 0.0001557
[stop_loss] => 0.00015856
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-05 16:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.0001518
[entry_price] => 0.0001557
[stop_loss] => 0.00015882
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-05 16:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.0001518
[entry_price] => 0.0001557
[stop_loss] => 0.00015908
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-05 16:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.0001518
[entry_price] => 0.0001557
[stop_loss] => 0.0001596
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-05 16:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 3.0E-6
[max_drawdown] => 4.5E-6
[rr_ratio] => 0.67
[high] => 0.00016020
[low] => 0.00015270
[mfe_pct] => 1.93
[mae_pct] => 2.89
[mfe_mae_ratio] => 0.67
[candles_analyzed] => 24
[start_at] => 2025-07-05T15:40:48-04:00
[end_at] => 2025-07-05T17:40:48-04:00
)
[long_term] => Array
(
[max_gain] => 3.0E-6
[max_drawdown] => 4.5E-6
[rr_ratio] => 0.67
[high] => 0.00016020
[low] => 0.00015270
[mfe_pct] => 1.93
[mae_pct] => 2.89
[mfe_mae_ratio] => 0.67
[candles_analyzed] => 72
[start_at] => 2025-07-05T15:40:48-04:00
[end_at] => 2025-07-05T21:40:48-04:00
)
[breakout] => Array
(
[high_before] => 0.00015680
[high_after] => 0.00016020
[low_before] => 0.00014310
[low_after] => 0.00015270
[is_new_high] =>
[is_new_low] =>
)
)