Long Trade on ENA 22 May 2025 at 17:10:08
Take profit at 0.4157 (1.12 %) and Stop Loss at 0.408 (0.75 %)
Long Trade on ENA 22 May 2025 at 17:10:08
Take profit at 0.4157 (1.12 %) and Stop Loss at 0.408 (0.75 %)
Position size of 1070.2739 $
Take profit at 0.4157 (1.12 %) and Stop Loss at 0.408 (0.75 %)
That's a 1.48 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.59 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.49 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.466037 |
Indicators:
111326
-0.0032917
110959
0.466037
110573
0.00348942
110959
107708
0.030185
110959
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 May 2025 17:10:08 |
22 May 2025 17:25:00 |
14 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.4111 | 0.408 | 0.4157 | 1.48 | 0.1074 |
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 = 0.408 - 0.4111 = -0.0031
Récompense (distance jusqu'au take profit):
E - TP = 0.4111 - 0.4157 = -0.0046
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0046 / -0.0031 = 1.4839
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1070.2739 | 100 | 2603.4393 | 10.70 |
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 / -0.0031 = -2580.65
Taille de position USD = -2580.65 x 0.4111 = -1060.91
Donc, tu peux acheter -2580.65 avec un stoploss a 0.408
Avec un position size USD de -1060.91$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2580.65 x -0.0031 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2580.65 x -0.0046 = 11.87
Si Take Profit atteint, tu gagneras 11.87$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.12 % | 11.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.75 % | 8.07 $ |
| PNL | PNL % |
|---|---|
| -8.07 $ | -0.75 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.2162490878132 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.4157
[entry_price] => 0.4111
[stop_loss] => 0.40769
[rr_ratio] => 1.35
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-22 17:25:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.4157
[entry_price] => 0.4111
[stop_loss] => 0.40738
[rr_ratio] => 1.24
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-22 17:25:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.4157
[entry_price] => 0.4111
[stop_loss] => 0.40707
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-22 17:25:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.4157
[entry_price] => 0.4111
[stop_loss] => 0.40645
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-22 17:25:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0048
[max_drawdown] => 0.005
[rr_ratio] => 0.96
[high] => 0.41590000
[low] => 0.40610000
[mfe_pct] => 1.17
[mae_pct] => 1.22
[mfe_mae_ratio] => 0.96
[candles_analyzed] => 24
[start_at] => 2025-05-22T17:10:08-04:00
[end_at] => 2025-05-22T19:10:08-04:00
)
[long_term] => Array
(
[max_gain] => 0.0358
[max_drawdown] => 0.005
[rr_ratio] => 7.16
[high] => 0.44690000
[low] => 0.40610000
[mfe_pct] => 8.71
[mae_pct] => 1.22
[mfe_mae_ratio] => 7.16
[candles_analyzed] => 72
[start_at] => 2025-05-22T17:10:08-04:00
[end_at] => 2025-05-22T23:10:08-04:00
)
[breakout] => Array
(
[high_before] => 0.42240000
[high_after] => 0.44690000
[low_before] => 0.41070000
[low_after] => 0.40610000
[is_new_high] => 1
[is_new_low] =>
)
)