Long Trade on APE 24 Jun 2025 at 06:59:32
Take profit at 0.6213 (0.57 %) and Stop Loss at 0.6155 (0.37 %)
Long Trade on APE 24 Jun 2025 at 06:59:32
Take profit at 0.6213 (0.57 %) and Stop Loss at 0.6155 (0.37 %)
Position size of 2125.3572 $
Take profit at 0.6213 (0.57 %) and Stop Loss at 0.6155 (0.37 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.54 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.5 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.62876 |
Indicators:
105123
0.00103733
105232
0.62876
104012
0.0113438
105192
103281
0.0188931
105232
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 24 Jun 2025 06:59:32 |
24 Jun 2025 07:15:00 |
15 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.6178 | 0.6155 | 0.6213 | 1.52 | 0.1018 |
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 = 0.6155 - 0.6178 = -0.0023
Récompense (distance jusqu'au take profit):
E - TP = 0.6178 - 0.6213 = -0.0034999999999999
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0034999999999999 / -0.0023 = 1.5217
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2125.3572 | 100 | 3440.2026 | 21.25 |
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 / -0.0023 = -3478.26
Taille de position USD = -3478.26 x 0.6178 = -2148.87
Donc, tu peux acheter -3478.26 avec un stoploss a 0.6155
Avec un position size USD de -2148.87$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -3478.26 x -0.0023 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -3478.26 x -0.0034999999999999 = 12.17
Si Take Profit atteint, tu gagneras 12.17$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.57 % | 12.04 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.37 % | 7.91 $ |
| PNL | PNL % |
|---|---|
| -7.91 $ | -0.37 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.3723 % | 100 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.6213
[entry_price] => 0.6178
[stop_loss] => 0.61527
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-24 07:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.6213
[entry_price] => 0.6178
[stop_loss] => 0.61504
[rr_ratio] => 1.27
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-24 07:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.6213
[entry_price] => 0.6178
[stop_loss] => 0.61481
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-24 07:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.6213
[entry_price] => 0.6178
[stop_loss] => 0.61435
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-24 09:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0011
[max_drawdown] => 0.0034000000000001
[rr_ratio] => 0.32
[high] => 0.61890000
[low] => 0.61440000
[mfe_pct] => 0.18
[mae_pct] => 0.55
[mfe_mae_ratio] => 0.32
[candles_analyzed] => 24
[start_at] => 2025-06-24T06:59:32-04:00
[end_at] => 2025-06-24T08:59:32-04:00
)
[long_term] => Array
(
[max_gain] => 0.0112
[max_drawdown] => 0.0043
[rr_ratio] => 2.6
[high] => 0.62900000
[low] => 0.61350000
[mfe_pct] => 1.81
[mae_pct] => 0.7
[mfe_mae_ratio] => 2.6
[candles_analyzed] => 72
[start_at] => 2025-06-24T06:59:32-04:00
[end_at] => 2025-06-24T12:59:32-04:00
)
[breakout] => Array
(
[high_before] => 0.62890000
[high_after] => 0.62900000
[low_before] => 0.61740000
[low_after] => 0.61350000
[is_new_high] => 1
[is_new_low] =>
)
)