Short Trade on MAV 27 Aug 2025 at 09:42:31
Take profit at 0.05937 (1.3 %) and Stop Loss at 0.06067 (0.86 %)
Short Trade on MAV 27 Aug 2025 at 09:42:31
Take profit at 0.05937 (1.3 %) and Stop Loss at 0.06067 (0.86 %)
Position size of 928.4938 $
Take profit at 0.05937 (1.3 %) and Stop Loss at 0.06067 (0.86 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.95 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.74 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.75 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.247257 |
1 |
Indicators:
111093
0.00330148
111460
0.247257
110910
0.00126825
111051
112118
-0.00587333
111460
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 27 Aug 2025 09:42:31 |
27 Aug 2025 09:45:00 |
2 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.06015 | 0.06067 | 0.05937 | 1.5 | 0.01432 |
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 = 0.06067 - 0.06015 = 0.00052
Récompense (distance jusqu'au take profit):
E - TP = 0.06015 - 0.05937 = 0.00078
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00078 / 0.00052 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 928.4938 | 100 | 15436.306 | 9.28 |
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 / 0.00052 = 15384.62
Taille de position USD = 15384.62 x 0.06015 = 925.38
Donc, tu peux acheter 15384.62 avec un stoploss a 0.06067
Avec un position size USD de 925.38$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 15384.62 x 0.00052 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 15384.62 x 0.00078 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.3 % | 12.04 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.86 % | 8.03 $ |
| PNL | PNL % |
|---|---|
| -8.03 $ | -0.86 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9809 % | 113.46 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.05937
[entry_price] => 0.06015
[stop_loss] => 0.060722
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-27 09:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.05937
[entry_price] => 0.06015
[stop_loss] => 0.060774
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-27 09:55:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.05937
[entry_price] => 0.06015
[stop_loss] => 0.060826
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-27 09:55:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.05937
[entry_price] => 0.06015
[stop_loss] => 0.06093
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-27 09:55:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00021
[max_drawdown] => 0.00153
[rr_ratio] => 0.14
[high] => 0.06168000
[low] => 0.05994000
[mfe_pct] => 0.35
[mae_pct] => 2.54
[mfe_mae_ratio] => 0.14
[candles_analyzed] => 24
[start_at] => 2025-08-27T09:42:31-04:00
[end_at] => 2025-08-27T11:42:31-04:00
)
[long_term] => Array
(
[max_gain] => 0.00021
[max_drawdown] => 0.00824
[rr_ratio] => 0.03
[high] => 0.06839000
[low] => 0.05994000
[mfe_pct] => 0.35
[mae_pct] => 13.7
[mfe_mae_ratio] => 0.03
[candles_analyzed] => 84
[start_at] => 2025-08-27T09:42:31-04:00
[end_at] => 2025-08-27T16:42:31-04:00
)
[breakout] => Array
(
[high_before] => 0.06062000
[high_after] => 0.06839000
[low_before] => 0.05833000
[low_after] => 0.05994000
[is_new_high] =>
[is_new_low] =>
)
)