Long Trade on APE 22 Aug 2025 at 23:05:20
Take profit at 0.6274 (0.72 %) and Stop Loss at 0.6199 (0.48 %)
Long Trade on APE 22 Aug 2025 at 23:05:20
Take profit at 0.6274 (0.72 %) and Stop Loss at 0.6199 (0.48 %)
Position size of 1673.4153 $
Take profit at 0.6274 (0.72 %) and Stop Loss at 0.6199 (0.48 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.55 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.53 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.72 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bull_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.224527 |
1 |
Indicators:
116559
-0.00730714
115707
0.224527
115326
0.00330009
115707
114521
0.0103504
115707
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Aug 2025 23:05:20 |
22 Aug 2025 23:40:00 |
34 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.6229 | 0.6199 | 0.6274 | 1.5 | 0.1058 |
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 = 0.6199 - 0.6229 = -0.003
Récompense (distance jusqu'au take profit):
E - TP = 0.6229 - 0.6274 = -0.0044999999999999
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0044999999999999 / -0.003 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1673.4153 | 100 | 2686.4912 | 16.73 |
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 / -0.003 = -2666.67
Taille de position USD = -2666.67 x 0.6229 = -1661.07
Donc, tu peux acheter -2666.67 avec un stoploss a 0.6199
Avec un position size USD de -1661.07$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2666.67 x -0.003 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2666.67 x -0.0044999999999999 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.72 % | 12.09 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.48 % | 8.06 $ |
| PNL | PNL % |
|---|---|
| -8.06 $ | -0.48 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5619 % | 116.67 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.6274
[entry_price] => 0.6229
[stop_loss] => 0.6196
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-22 23:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.6274
[entry_price] => 0.6229
[stop_loss] => 0.6193
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-22 23:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.6274
[entry_price] => 0.6229
[stop_loss] => 0.619
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-23 00:10:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.6274
[entry_price] => 0.6229
[stop_loss] => 0.6184
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-23 00:10:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0084
[max_drawdown] => 0.0037
[rr_ratio] => 2.27
[high] => 0.63130000
[low] => 0.61920000
[mfe_pct] => 1.35
[mae_pct] => 0.59
[mfe_mae_ratio] => 2.27
[candles_analyzed] => 24
[start_at] => 2025-08-22T23:05:20-04:00
[end_at] => 2025-08-23T01:05:20-04:00
)
[long_term] => Array
(
[max_gain] => 0.0137
[max_drawdown] => 0.0037
[rr_ratio] => 3.7
[high] => 0.63660000
[low] => 0.61920000
[mfe_pct] => 2.2
[mae_pct] => 0.59
[mfe_mae_ratio] => 3.7
[candles_analyzed] => 84
[start_at] => 2025-08-22T23:05:20-04:00
[end_at] => 2025-08-23T06:05:20-04:00
)
[breakout] => Array
(
[high_before] => 0.64510000
[high_after] => 0.63660000
[low_before] => 0.61990000
[low_after] => 0.61920000
[is_new_high] =>
[is_new_low] =>
)
)