Long Trade on APE
The 09 Dec 2025 at 16:29:23
With 4019.2787 APE at 0.2486$ per unit.
Position size of 999.1927 $
Take profit at 0.2526 (1.61 %) and Stop Loss at 0.2466 (0.8 %)
That's a 2 RR TradePosition size of 999.1927 $
Take profit at 0.2526 (1.61 %) and Stop Loss at 0.2466 (0.8 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.89 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.45 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.61 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : bull_high rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : bull_high 5m_regime : bear_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.606494 15m : 0.023215 1H : 0.030499 |
2 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 09 Dec 2025 16:29:23 |
09 Dec 2025 16:45:00 |
15 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2486 | 0.2466 | 0.2526 | 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 = 0.2466 - 0.2486 = -0.002
Récompense (distance jusqu'au take profit):
E - TP = 0.2486 - 0.2526 = -0.004
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.004 / -0.002 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 999.1927 | 100 | 4019.2787 | 9.99 |
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 / -0.002 = -4000
Taille de position USD = -4000 x 0.2486 = -994.4
Donc, tu peux acheter -4000 avec un stoploss a 0.2466
Avec un position size USD de -994.4$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -4000 x -0.002 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -4000 x -0.004 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.61 % | 16.08 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.8 % | 8.04 $ |
| PNL | PNL % |
|---|---|
| -8.04 $ | -0.80 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.6895 % | 210.01 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2526
[entry_price] => 0.2486
[stop_loss] => 0.2464
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-09 16:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2526
[entry_price] => 0.2486
[stop_loss] => 0.2462
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-09 16:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2526
[entry_price] => 0.2486
[stop_loss] => 0.246
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-09 16:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2526
[entry_price] => 0.2486
[stop_loss] => 0.2456
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-09 16:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0016
[max_drawdown] => 0.0053
[rr_ratio] => 0.3
[high] => 0.25020000
[low] => 0.24330000
[mfe_pct] => 0.64
[mae_pct] => 2.13
[mfe_mae_ratio] => 0.3
[candles_analyzed] => 24
[start_at] => 2025-12-09T16:29:23-05:00
[end_at] => 2025-12-09T18:29:23-05:00
)
[long_term] => Array
(
[max_gain] => 0.0016
[max_drawdown] => 0.0097
[rr_ratio] => 0.16
[high] => 0.25020000
[low] => 0.23890000
[mfe_pct] => 0.64
[mae_pct] => 3.9
[mfe_mae_ratio] => 0.16
[candles_analyzed] => 84
[start_at] => 2025-12-09T16:29:23-05:00
[end_at] => 2025-12-09T23:29:23-05:00
)
[breakout] => Array
(
[high_before] => 0.26890000
[high_after] => 0.25020000
[low_before] => 0.24820000
[low_after] => 0.23890000
[is_new_high] =>
[is_new_low] =>
)
)