Short Trade on ID 22 Sep 2025 at 17:19:08
Take profit at 0.1553 (0.64 %) and Stop Loss at 0.1568 (0.32 %)
Short Trade on ID 22 Sep 2025 at 17:19:08
Take profit at 0.1553 (0.64 %) and Stop Loss at 0.1568 (0.32 %)
Position size of 2382.2748 $
Take profit at 0.1553 (0.64 %) and Stop Loss at 0.1568 (0.32 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.81 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.49 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.56 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear rules_regime : bear_low rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : bear_medium 5m_regime : bull_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.558655 15m : 0.048673 1H : 0.010706 |
2 |
Indicators:
112538
0.0014714
112704
0.558655
113284
-0.00511789
112704
0.048673
115033
-0.0202449
112704
0.010706
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Sep 2025 17:19:08 |
22 Sep 2025 17:20:00 |
52 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1563 | 0.1568 | 0.1553 | 2 | 0.04457 |
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 = 0.1568 - 0.1563 = 0.0005
Récompense (distance jusqu'au take profit):
E - TP = 0.1563 - 0.1553 = 0.001
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.001 / 0.0005 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2382.2748 | 100 | 15241.6815 | 23.82 |
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 / 0.0005 = 16000
Taille de position USD = 16000 x 0.1563 = 2500.8
Donc, tu peux acheter 16000 avec un stoploss a 0.1568
Avec un position size USD de 2500.8$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 16000 x 0.0005 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 16000 x 0.001 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.64 % | 15.24 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.32 % | 7.62 $ |
| PNL | PNL % |
|---|---|
| -7.62 $ | -0.32 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.3839 % | 120.01 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1553
[entry_price] => 0.1563
[stop_loss] => 0.15685
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-22 17:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1553
[entry_price] => 0.1563
[stop_loss] => 0.1569
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-22 17:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1553
[entry_price] => 0.1563
[stop_loss] => 0.15695
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-22 17:25:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1553
[entry_price] => 0.1563
[stop_loss] => 0.15705
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-22 17:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00059999999999999
[max_drawdown] => 0.00090000000000001
[rr_ratio] => 0.67
[high] => 0.15720000
[low] => 0.15570000
[mfe_pct] => 0.38
[mae_pct] => 0.58
[mfe_mae_ratio] => 0.67
[candles_analyzed] => 24
[start_at] => 2025-09-22T17:19:08-04:00
[end_at] => 2025-09-22T19:19:08-04:00
)
[long_term] => Array
(
[max_gain] => 0.0071
[max_drawdown] => 0.00090000000000001
[rr_ratio] => 7.89
[high] => 0.15720000
[low] => 0.14920000
[mfe_pct] => 4.54
[mae_pct] => 0.58
[mfe_mae_ratio] => 7.89
[candles_analyzed] => 84
[start_at] => 2025-09-22T17:19:08-04:00
[end_at] => 2025-09-23T00:19:08-04:00
)
[breakout] => Array
(
[high_before] => 0.15640000
[high_after] => 0.15720000
[low_before] => 0.15290000
[low_after] => 0.14920000
[is_new_high] =>
[is_new_low] => 1
)
)