Long Trade on PORTAL 09 Jul 2025 at 21:53:51
Take profit at 0.04036 (1.13 %) and Stop Loss at 0.03961 (0.75 %)
Long Trade on PORTAL 09 Jul 2025 at 21:53:51
Take profit at 0.04036 (1.13 %) and Stop Loss at 0.03961 (0.75 %)
Position size of 1060.8102 $
Take profit at 0.04036 (1.13 %) and Stop Loss at 0.03961 (0.75 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.66 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.5 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.006984 |
Indicators:
110718
0.00432545
111197
0.006984
109878
0.0113715
111128
108887
0.0212092
111197
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 09 Jul 2025 21:53:51 |
09 Jul 2025 22:00:00 |
6 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.03991 | 0.03961 | 0.04036 | 1.5 | 0.01229 |
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 = 0.03961 - 0.03991 = -0.0003
Récompense (distance jusqu'au take profit):
E - TP = 0.03991 - 0.04036 = -0.00045
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.00045 / -0.0003 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1060.8102 | 100 | 26580.0603 | 10.61 |
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 / -0.0003 = -26666.67
Taille de position USD = -26666.67 x 0.03991 = -1064.27
Donc, tu peux acheter -26666.67 avec un stoploss a 0.03961
Avec un position size USD de -1064.27$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -26666.67 x -0.0003 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -26666.67 x -0.00045 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.13 % | 11.96 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.75 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -0.75 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.5034 % | 200 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.04036
[entry_price] => 0.03991
[stop_loss] => 0.03958
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-09 22:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.04036
[entry_price] => 0.03991
[stop_loss] => 0.03955
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-09 22:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.04036
[entry_price] => 0.03991
[stop_loss] => 0.03952
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-09 22:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.04036
[entry_price] => 0.03991
[stop_loss] => 0.03946
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-09 22:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00051
[max_drawdown] => 0.0006
[rr_ratio] => 0.85
[high] => 0.04042000
[low] => 0.03931000
[mfe_pct] => 1.28
[mae_pct] => 1.5
[mfe_mae_ratio] => 0.85
[candles_analyzed] => 24
[start_at] => 2025-07-09T21:53:51-04:00
[end_at] => 2025-07-09T23:53:51-04:00
)
[long_term] => Array
(
[max_gain] => 0.00051
[max_drawdown] => 0.00099
[rr_ratio] => 0.52
[high] => 0.04042000
[low] => 0.03892000
[mfe_pct] => 1.28
[mae_pct] => 2.48
[mfe_mae_ratio] => 0.52
[candles_analyzed] => 72
[start_at] => 2025-07-09T21:53:51-04:00
[end_at] => 2025-07-10T03:53:51-04:00
)
[breakout] => Array
(
[high_before] => 0.04079000
[high_after] => 0.04042000
[low_before] => 0.03980000
[low_after] => 0.03892000
[is_new_high] =>
[is_new_low] =>
)
)