Long Trade on MELANIA 27 Aug 2025 at 02:08:58
Take profit at 0.2122 (0.76 %) and Stop Loss at 0.2096 (0.47 %)
Long Trade on MELANIA 27 Aug 2025 at 02:08:58
Take profit at 0.2122 (0.76 %) and Stop Loss at 0.2096 (0.47 %)
Position size of 1617.3483 $
Take profit at 0.2122 (0.76 %) and Stop Loss at 0.2096 (0.47 %)
That's a 1.6 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.56 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.49 |
| 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 : 0.378713 |
0 |
Indicators:
111378
-0.00115056
111250
0.378713
110827
0.00380781
111250
112289
-0.0092559
111250
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 27 Aug 2025 02:08:58 |
27 Aug 2025 02:10:00 |
1 minute |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2106 | 0.2096 | 0.2122 | 1.6 | 0.1102 |
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 = 0.2096 - 0.2106 = -0.001
Récompense (distance jusqu'au take profit):
E - TP = 0.2106 - 0.2122 = -0.0016
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0016 / -0.001 = 1.6
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1617.3483 | 100 | 7679.7163 | 16.17 |
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 / -0.001 = -8000
Taille de position USD = -8000 x 0.2106 = -1684.8
Donc, tu peux acheter -8000 avec un stoploss a 0.2096
Avec un position size USD de -1684.8$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -8000 x -0.001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -8000 x -0.0016 = 12.8
Si Take Profit atteint, tu gagneras 12.8$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.76 % | 12.29 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.47 % | 7.68 $ |
| PNL | PNL % |
|---|---|
| -7.68 $ | -0.47 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.0921 % | 230.01 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2122
[entry_price] => 0.2106
[stop_loss] => 0.2095
[rr_ratio] => 1.45
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-27 02:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2122
[entry_price] => 0.2106
[stop_loss] => 0.2094
[rr_ratio] => 1.33
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-27 02:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2122
[entry_price] => 0.2106
[stop_loss] => 0.2093
[rr_ratio] => 1.23
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-27 02:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2122
[entry_price] => 0.2106
[stop_loss] => 0.2091
[rr_ratio] => 1.07
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-27 02:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00059999999999999
[max_drawdown] => 0.005
[rr_ratio] => 0.12
[high] => 0.21120000
[low] => 0.20560000
[mfe_pct] => 0.28
[mae_pct] => 2.37
[mfe_mae_ratio] => 0.12
[candles_analyzed] => 24
[start_at] => 2025-08-27T02:08:58-04:00
[end_at] => 2025-08-27T04:08:58-04:00
)
[long_term] => Array
(
[max_gain] => 0.00059999999999999
[max_drawdown] => 0.0059
[rr_ratio] => 0.1
[high] => 0.21120000
[low] => 0.20470000
[mfe_pct] => 0.28
[mae_pct] => 2.8
[mfe_mae_ratio] => 0.1
[candles_analyzed] => 84
[start_at] => 2025-08-27T02:08:58-04:00
[end_at] => 2025-08-27T09:08:58-04:00
)
[breakout] => Array
(
[high_before] => 0.21590000
[high_after] => 0.21120000
[low_before] => 0.21020000
[low_after] => 0.20470000
[is_new_high] =>
[is_new_low] =>
)
)