Short Trade on RED 01 Sep 2025 at 04:11:44
Take profit at 0.429 (1.52 %) and Stop Loss at 0.44 (1.01 %)
Short Trade on RED 01 Sep 2025 at 04:11:44
Take profit at 0.429 (1.52 %) and Stop Loss at 0.44 (1.01 %)
Position size of 789.0753 $
Take profit at 0.429 (1.52 %) and Stop Loss at 0.44 (1.01 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.88 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.59 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.5 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : range_medium rules_regime_5m : bull_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.549521 |
0 |
Indicators:
108070
0.0131425
109491
0.549521
108350
0.0105276
109491
109495
-4.26031E-5
109491
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 04:11:44 |
01 Sep 2025 05:00:00 |
48 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.4356 | 0.44 | 0.429 | 1.5 | 0.1604 |
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 = 0.44 - 0.4356 = 0.0044
Récompense (distance jusqu'au take profit):
E - TP = 0.4356 - 0.429 = 0.0066
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0066 / 0.0044 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 789.0753 | 100 | 1811.4677 | 7.89 |
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 / 0.0044 = 1818.18
Taille de position USD = 1818.18 x 0.4356 = 792
Donc, tu peux acheter 1818.18 avec un stoploss a 0.44
Avec un position size USD de 792$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1818.18 x 0.0044 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1818.18 x 0.0066 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.52 % | 11.96 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.01 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -1.01 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.2167 % | 120.45 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.429
[entry_price] => 0.4356
[stop_loss] => 0.44044
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 05:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.429
[entry_price] => 0.4356
[stop_loss] => 0.44088
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 05:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.429
[entry_price] => 0.4356
[stop_loss] => 0.44132
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 07:35:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.429
[entry_price] => 0.4356
[stop_loss] => 0.4422
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 07:35:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0056
[max_drawdown] => 0.0053
[rr_ratio] => 1.06
[high] => 0.44090000
[low] => 0.43000000
[mfe_pct] => 1.29
[mae_pct] => 1.22
[mfe_mae_ratio] => 1.06
[candles_analyzed] => 24
[start_at] => 2025-09-01T04:11:44-04:00
[end_at] => 2025-09-01T06:11:44-04:00
)
[long_term] => Array
(
[max_gain] => 0.0243
[max_drawdown] => 0.0053
[rr_ratio] => 4.58
[high] => 0.44090000
[low] => 0.41130000
[mfe_pct] => 5.58
[mae_pct] => 1.22
[mfe_mae_ratio] => 4.58
[candles_analyzed] => 84
[start_at] => 2025-09-01T04:11:44-04:00
[end_at] => 2025-09-01T11:11:44-04:00
)
[breakout] => Array
(
[high_before] => 0.44030000
[high_after] => 0.44090000
[low_before] => 0.41760000
[low_after] => 0.41960000
[is_new_high] =>
[is_new_low] =>
)
)