Short Trade on PENGU
The 14 Dec 2025 at 20:51:34
With 98343.1609 PENGU at 0.01065$ per unit.
Position size of 1047.453 $
Take profit at 0.01049 (1.5 %) and Stop Loss at 0.01073 (0.75 %)
That's a 2 RR TradePosition size of 1047.453 $
Take profit at 0.01049 (1.5 %) and Stop Loss at 0.01073 (0.75 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.74 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.41 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.83 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : range_high 5m_regime : bull_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.774176 15m : 0.307463 1H : 0.173453 |
1 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 14 Dec 2025 20:51:34 |
14 Dec 2025 21:05:00 |
13 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.01065 | 0.01073 | 0.01049 | 2 | 0.01012 |
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 = 0.01073 - 0.01065 = 8.0E-5
Récompense (distance jusqu'au take profit):
E - TP = 0.01065 - 0.01049 = 0.00016
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00016 / 8.0E-5 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1047.453 | 100 | 98343.1609 | 10.47 |
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 / 8.0E-5 = 100000
Taille de position USD = 100000 x 0.01065 = 1065
Donc, tu peux acheter 100000 avec un stoploss a 0.01073
Avec un position size USD de 1065$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 100000 x 8.0E-5 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 100000 x 0.00016 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.5 % | 15.73 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.75 % | 7.87 $ |
| PNL | PNL % |
|---|---|
| -7.87 $ | -0.75 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.8075 % | 107.49 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.01049
[entry_price] => 0.01065
[stop_loss] => 0.010738
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-14 21:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.01049
[entry_price] => 0.01065
[stop_loss] => 0.010746
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-14 21:15:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.01049
[entry_price] => 0.01065
[stop_loss] => 0.010754
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-14 21:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.01049
[entry_price] => 0.01065
[stop_loss] => 0.01077
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-14 21:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00012
[max_drawdown] => 0.000163
[rr_ratio] => 0.74
[high] => 0.01081300
[low] => 0.01053000
[mfe_pct] => 1.13
[mae_pct] => 1.53
[mfe_mae_ratio] => 0.74
[candles_analyzed] => 24
[start_at] => 2025-12-14T20:51:34-05:00
[end_at] => 2025-12-14T22:51:34-05:00
)
[long_term] => Array
(
[max_gain] => 0.000162
[max_drawdown] => 0.000163
[rr_ratio] => 0.99
[high] => 0.01081300
[low] => 0.01048800
[mfe_pct] => 1.52
[mae_pct] => 1.53
[mfe_mae_ratio] => 0.99
[candles_analyzed] => 84
[start_at] => 2025-12-14T20:51:34-05:00
[end_at] => 2025-12-15T03:51:34-05:00
)
[breakout] => Array
(
[high_before] => 0.01066600
[high_after] => 0.01081300
[low_before] => 0.01026300
[low_after] => 0.01048800
[is_new_high] =>
[is_new_low] =>
)
)