Short Trade on APE
The 12 Dec 2025 at 16:40:24
With 8844.9098 APE at 0.2275$ per unit.
Position size of 2012.217 $
Take profit at 0.2257 (0.79 %) and Stop Loss at 0.2284 (0.4 %)
That's a 2 RR TradePosition size of 2012.217 $
Take profit at 0.2257 (0.79 %) and Stop Loss at 0.2284 (0.4 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.76 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.64 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.69 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_high rules_regime_5m : bear_low |
1H_regime : bear_high 15m_regime : bear_medium 5m_regime : bull_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.834049 15m : -0.087153 1H : 0.088211 |
2 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 12 Dec 2025 16:40:24 |
12 Dec 2025 17:10:00 |
29 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2275 | 0.2284 | 0.2257 | 2 | 0.2134 |
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 = 0.2284 - 0.2275 = 0.00089999999999998
Récompense (distance jusqu'au take profit):
E - TP = 0.2275 - 0.2257 = 0.0018
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0018 / 0.00089999999999998 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2012.217 | 100 | 8844.9098 | 20.12 |
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 / 0.00089999999999998 = 8888.89
Taille de position USD = 8888.89 x 0.2275 = 2022.22
Donc, tu peux acheter 8888.89 avec un stoploss a 0.2284
Avec un position size USD de 2022.22$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8888.89 x 0.00089999999999998 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8888.89 x 0.0018 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.79 % | 15.92 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.4 % | 7.96 $ |
| PNL | PNL % |
|---|---|
| -7.96 $ | -0.40 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4835 % | 122.22 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2257
[entry_price] => 0.2275
[stop_loss] => 0.22849
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-12 17:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2257
[entry_price] => 0.2275
[stop_loss] => 0.22858
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-12 17:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2257
[entry_price] => 0.2275
[stop_loss] => 0.22867
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-12 17:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2257
[entry_price] => 0.2275
[stop_loss] => 0.22885
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-12 17:25:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0008
[max_drawdown] => 0.0038
[rr_ratio] => 0.21
[high] => 0.23130000
[low] => 0.22670000
[mfe_pct] => 0.35
[mae_pct] => 1.67
[mfe_mae_ratio] => 0.21
[candles_analyzed] => 24
[start_at] => 2025-12-12T16:40:24-05:00
[end_at] => 2025-12-12T18:40:24-05:00
)
[long_term] => Array
(
[max_gain] => 0.0008
[max_drawdown] => 0.0066
[rr_ratio] => 0.12
[high] => 0.23410000
[low] => 0.22670000
[mfe_pct] => 0.35
[mae_pct] => 2.9
[mfe_mae_ratio] => 0.12
[candles_analyzed] => 84
[start_at] => 2025-12-12T16:40:24-05:00
[end_at] => 2025-12-12T23:40:24-05:00
)
[breakout] => Array
(
[high_before] => 0.22800000
[high_after] => 0.23370000
[low_before] => 0.22300000
[low_after] => 0.22670000
[is_new_high] =>
[is_new_low] =>
)
)