Long Trade on APE 07 Jul 2025 at 02:49:07
Take profit at 0.6129 (0.29 %) and Stop Loss at 0.6099 (0.2 %)
Long Trade on APE 07 Jul 2025 at 02:49:07
Take profit at 0.6129 (0.29 %) and Stop Loss at 0.6099 (0.2 %)
Position size of 4098.2558 $
Take profit at 0.6129 (0.29 %) and Stop Loss at 0.6099 (0.2 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.58 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.62 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.516663 |
Indicators:
109139
-0.00306442
108804
0.516663
108764
0.000372893
108804
108522
0.00259903
108804
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 07 Jul 2025 02:49:07 |
07 Jul 2025 03:05:00 |
15 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.6111 | 0.6099 | 0.6129 | 1.5 | 0.1076 |
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 = 0.6099 - 0.6111 = -0.0012
Récompense (distance jusqu'au take profit):
E - TP = 0.6111 - 0.6129 = -0.0018
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0018 / -0.0012 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 4098.2558 | 100 | 6706.3587 | 40.98 |
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 / -0.0012 = -6666.67
Taille de position USD = -6666.67 x 0.6111 = -4074
Donc, tu peux acheter -6666.67 avec un stoploss a 0.6099
Avec un position size USD de -4074$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -6666.67 x -0.0012 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -6666.67 x -0.0018 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.29 % | 12.07 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.2 % | 8.05 $ |
| PNL | PNL % |
|---|---|
| -8.05 $ | -0.20 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.2782 % | 141.65 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.6129
[entry_price] => 0.6111
[stop_loss] => 0.60978
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-07 03:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.6129
[entry_price] => 0.6111
[stop_loss] => 0.60966
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-07 03:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.6129
[entry_price] => 0.6111
[stop_loss] => 0.60954
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-07 03:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.6129
[entry_price] => 0.6111
[stop_loss] => 0.6093
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-07 03:35:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0052
[max_drawdown] => 0.0016999999999999
[rr_ratio] => 3.06
[high] => 0.61630000
[low] => 0.60940000
[mfe_pct] => 0.85
[mae_pct] => 0.28
[mfe_mae_ratio] => 3.06
[candles_analyzed] => 24
[start_at] => 2025-07-07T02:49:07-04:00
[end_at] => 2025-07-07T04:49:07-04:00
)
[long_term] => Array
(
[max_gain] => 0.0052
[max_drawdown] => 0.0018
[rr_ratio] => 2.89
[high] => 0.61630000
[low] => 0.60930000
[mfe_pct] => 0.85
[mae_pct] => 0.29
[mfe_mae_ratio] => 2.89
[candles_analyzed] => 72
[start_at] => 2025-07-07T02:49:07-04:00
[end_at] => 2025-07-07T08:49:07-04:00
)
[breakout] => Array
(
[high_before] => 0.61710000
[high_after] => 0.61630000
[low_before] => 0.61090000
[low_after] => 0.60930000
[is_new_high] =>
[is_new_low] =>
)
)