Short Trade on MAV 10 Sep 2025 at 01:45:27
Take profit at 0.06616 (1.25 %) and Stop Loss at 0.06742 (0.63 %)
Short Trade on MAV 10 Sep 2025 at 01:45:27
Take profit at 0.06616 (1.25 %) and Stop Loss at 0.06742 (0.63 %)
Position size of 1281.7688 $
Take profit at 0.06616 (1.25 %) and Stop Loss at 0.06742 (0.63 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.89 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.53 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.54 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : range_low rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : range_medium 5m_regime : bull_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.21102 15m : -0.013254 1H : 0.056969 |
0 |
Indicators:
111386
0.00195322
111604
0.21102
111591
0.000120857
111604
-0.013254
111467
0.00122947
111604
0.056969
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 10 Sep 2025 01:45:27 |
10 Sep 2025 02:50:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.067 | 0.06742 | 0.06616 | 2 | 0.01434 |
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 = 0.06742 - 0.067 = 0.00041999999999999
Récompense (distance jusqu'au take profit):
E - TP = 0.067 - 0.06616 = 0.00084000000000001
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00084000000000001 / 0.00041999999999999 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1281.7688 | 100 | 19130.8782 | 12.82 |
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 / 0.00041999999999999 = 19047.62
Taille de position USD = 19047.62 x 0.067 = 1276.19
Donc, tu peux acheter 19047.62 avec un stoploss a 0.06742
Avec un position size USD de 1276.19$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 19047.62 x 0.00041999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 19047.62 x 0.00084000000000001 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.25 % | 16.07 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.63 % | 8.03 $ |
| PNL | PNL % |
|---|---|
| 16.07 $ | 1.25 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4925 % | 78.56 % | 2 |
Array
(
[2] => Array
(
[take_profit] => 0.06616
[stop_loss] => 0.06742
[rr_ratio] => 2
[closed_at] => 2025-09-10 02:50:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.06595
[stop_loss] => 0.06742
[rr_ratio] => 2.5
[closed_at] => 2025-09-10 03:10:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.06574
[stop_loss] => 0.06742
[rr_ratio] => 3
[closed_at] => 2025-09-10 03:45:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.06553
[stop_loss] => 0.06742
[rr_ratio] => 3.5
[closed_at] => 2025-09-10 04:40:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00134
[max_drawdown] => 0.00033
[rr_ratio] => 4.06
[high] => 0.06733000
[low] => 0.06566000
[mfe_pct] => 2
[mae_pct] => 0.49
[mfe_mae_ratio] => 4.06
[candles_analyzed] => 24
[start_at] => 2025-09-10T01:45:27-04:00
[end_at] => 2025-09-10T03:45:27-04:00
)
[long_term] => Array
(
[max_gain] => 0.00154
[max_drawdown] => 0.00033
[rr_ratio] => 4.67
[high] => 0.06733000
[low] => 0.06546000
[mfe_pct] => 2.3
[mae_pct] => 0.49
[mfe_mae_ratio] => 4.67
[candles_analyzed] => 84
[start_at] => 2025-09-10T01:45:27-04:00
[end_at] => 2025-09-10T08:45:27-04:00
)
[breakout] => Array
(
[high_before] => 0.06723000
[high_after] => 0.06733000
[low_before] => 0.06515000
[low_after] => 0.06546000
[is_new_high] =>
[is_new_low] =>
)
)