Long Trade on MAJOR 22 Aug 2025 at 05:53:33
Take profit at 0.176 (2.86 %) and Stop Loss at 0.1679 (1.87 %)
Long Trade on MAJOR 22 Aug 2025 at 05:53:33
Take profit at 0.176 (2.86 %) and Stop Loss at 0.1679 (1.87 %)
Position size of 422.0347 $
Take profit at 0.176 (2.86 %) and Stop Loss at 0.1679 (1.87 %)
That's a 1.53 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.79 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.55 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.5 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : -0.057907 |
0 |
Indicators:
112994
0.000741968
113078
-0.057907
112958
0.000716418
113039
113792
-0.00627689
113078
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Aug 2025 05:53:33 |
22 Aug 2025 06:00:00 |
6 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1711 | 0.1679 | 0.176 | 1.53 | 0.106 |
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 = 0.1679 - 0.1711 = -0.0032
Récompense (distance jusqu'au take profit):
E - TP = 0.1711 - 0.176 = -0.0049
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0049 / -0.0032 = 1.5312
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 422.0347 | 100 | 2466.5966 | 4.22 |
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 / -0.0032 = -2500
Taille de position USD = -2500 x 0.1711 = -427.75
Donc, tu peux acheter -2500 avec un stoploss a 0.1679
Avec un position size USD de -427.75$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2500 x -0.0032 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2500 x -0.0049 = 12.25
Si Take Profit atteint, tu gagneras 12.25$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.86 % | 12.09 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.87 % | 7.89 $ |
| PNL | PNL % |
|---|---|
| -7.89 $ | -1.87 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.104 % | 112.5 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.176
[entry_price] => 0.1711
[stop_loss] => 0.16758
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-22 06:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.176
[entry_price] => 0.1711
[stop_loss] => 0.16726
[rr_ratio] => 1.28
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-22 07:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.176
[entry_price] => 0.1711
[stop_loss] => 0.16694
[rr_ratio] => 1.18
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-22 07:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.176
[entry_price] => 0.1711
[stop_loss] => 0.1663
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-22 07:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => -9.9999999999989E-5
[max_drawdown] => 0.0055
[rr_ratio] => -0.02
[high] => 0.17100000
[low] => 0.16560000
[mfe_pct] => -0.06
[mae_pct] => 3.21
[mfe_mae_ratio] => -0.02
[candles_analyzed] => 24
[start_at] => 2025-08-22T05:53:33-04:00
[end_at] => 2025-08-22T07:53:33-04:00
)
[long_term] => Array
(
[max_gain] => 0.0023
[max_drawdown] => 0.0097
[rr_ratio] => 0.24
[high] => 0.17340000
[low] => 0.16140000
[mfe_pct] => 1.34
[mae_pct] => 5.67
[mfe_mae_ratio] => 0.24
[candles_analyzed] => 84
[start_at] => 2025-08-22T05:53:33-04:00
[end_at] => 2025-08-22T12:53:33-04:00
)
[breakout] => Array
(
[high_before] => 0.18790000
[high_after] => 0.17100000
[low_before] => 0.16930000
[low_after] => 0.16140000
[is_new_high] =>
[is_new_low] =>
)
)