Short Trade on CRO 31 Aug 2025 at 14:31:21
Take profit at 0.2899 (1.16 %) and Stop Loss at 0.2955 (0.75 %)
Short Trade on CRO 31 Aug 2025 at 14:31:21
Take profit at 0.2899 (1.16 %) and Stop Loss at 0.2955 (0.75 %)
Position size of 1055.7906 $
Take profit at 0.2899 (1.16 %) and Stop Loss at 0.2955 (0.75 %)
That's a 1.55 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.83 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.85 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.83 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_low rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.118779 |
1 |
Indicators:
108600
0.00318552
108946
0.118779
108686
0.00239141
108946
109693
-0.00680947
108946
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 31 Aug 2025 14:31:21 |
31 Aug 2025 18:00:00 |
3 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2933 | 0.2955 | 0.2899 | 1.55 | 0.07783 |
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 = 0.2955 - 0.2933 = 0.0022
Récompense (distance jusqu'au take profit):
E - TP = 0.2933 - 0.2899 = 0.0034
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0034 / 0.0022 = 1.5455
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1055.7906 | 100 | 3599.9406 | 10.56 |
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 / 0.0022 = 3636.36
Taille de position USD = 3636.36 x 0.2933 = 1066.54
Donc, tu peux acheter 3636.36 avec un stoploss a 0.2955
Avec un position size USD de 1066.54$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 3636.36 x 0.0022 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 3636.36 x 0.0034 = 12.36
Si Take Profit atteint, tu gagneras 12.36$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.16 % | 12.24 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.75 % | 7.92 $ |
| PNL | PNL % |
|---|---|
| -7.92 $ | -0.75 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9547 % | 127.28 % | 18 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2899
[entry_price] => 0.2933
[stop_loss] => 0.29572
[rr_ratio] => 1.4
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-31 18:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2899
[entry_price] => 0.2933
[stop_loss] => 0.29594
[rr_ratio] => 1.29
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-31 18:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2899
[entry_price] => 0.2933
[stop_loss] => 0.29616
[rr_ratio] => 1.19
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-31 18:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2899
[entry_price] => 0.2933
[stop_loss] => 0.2966
[rr_ratio] => 1.03
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-31 18:20:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00262
[max_drawdown] => 0.00218
[rr_ratio] => 1.2
[high] => 0.29548000
[low] => 0.29068000
[mfe_pct] => 0.89
[mae_pct] => 0.74
[mfe_mae_ratio] => 1.2
[candles_analyzed] => 24
[start_at] => 2025-08-31T14:31:21-04:00
[end_at] => 2025-08-31T16:31:21-04:00
)
[long_term] => Array
(
[max_gain] => 0.00997
[max_drawdown] => 0.01119
[rr_ratio] => 0.89
[high] => 0.30449000
[low] => 0.28333000
[mfe_pct] => 3.4
[mae_pct] => 3.82
[mfe_mae_ratio] => 0.89
[candles_analyzed] => 84
[start_at] => 2025-08-31T14:31:21-04:00
[end_at] => 2025-08-31T21:31:21-04:00
)
[breakout] => Array
(
[high_before] => 0.29354000
[high_after] => 0.30449000
[low_before] => 0.28318000
[low_after] => 0.28515000
[is_new_high] =>
[is_new_low] =>
)
)