Short Trade on PENGU 16 Sep 2025 at 02:04:15
Take profit at 0.03266 (0.94 %) and Stop Loss at 0.03313 (0.49 %)
Short Trade on PENGU 16 Sep 2025 at 02:04:15
Take profit at 0.03266 (0.94 %) and Stop Loss at 0.03313 (0.49 %)
Position size of 1662.0013 $
Take profit at 0.03266 (0.94 %) and Stop Loss at 0.03313 (0.49 %)
That's a 1.94 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.75 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.5 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.55 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bull_low rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : range_medium 5m_regime : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.714241 15m : 0.101066 1H : 0.110891 |
0 |
Indicators:
115348
0.00475885
115897
0.714241
115353
0.00472178
115897
0.101066
115397
0.00433946
115897
0.110891
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 16 Sep 2025 02:04:15 |
16 Sep 2025 02:10:00 |
5 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.03297 | 0.03313 | 0.03266 | 1.94 | 0.006848 |
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 = 0.03313 - 0.03297 = 0.00016
Récompense (distance jusqu'au take profit):
E - TP = 0.03297 - 0.03266 = 0.00031
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00031 / 0.00016 = 1.9375
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1662.0013 | 100 | 50404.915 | 16.62 |
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 / 0.00016 = 50000
Taille de position USD = 50000 x 0.03297 = 1648.5
Donc, tu peux acheter 50000 avec un stoploss a 0.03313
Avec un position size USD de 1648.5$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 50000 x 0.00016 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 50000 x 0.00031 = 15.5
Si Take Profit atteint, tu gagneras 15.5$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.94 % | 15.63 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.49 % | 8.06 $ |
| PNL | PNL % |
|---|---|
| -8.07 $ | -0.49 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6642 % | 136.86 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.03266
[entry_price] => 0.03297
[stop_loss] => 0.033146
[rr_ratio] => 1.76
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-16 02:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.03266
[entry_price] => 0.03297
[stop_loss] => 0.033162
[rr_ratio] => 1.61
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-16 02:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.03266
[entry_price] => 0.03297
[stop_loss] => 0.033178
[rr_ratio] => 1.49
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-16 02:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.03266
[entry_price] => 0.03297
[stop_loss] => 0.03321
[rr_ratio] => 1.29
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-16 04:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00019
[max_drawdown] => 0.00022
[rr_ratio] => 0.86
[high] => 0.03319000
[low] => 0.03278000
[mfe_pct] => 0.58
[mae_pct] => 0.67
[mfe_mae_ratio] => 0.86
[candles_analyzed] => 24
[start_at] => 2025-09-16T02:04:15-04:00
[end_at] => 2025-09-16T04:04:15-04:00
)
[long_term] => Array
(
[max_gain] => 0.00019
[max_drawdown] => 0.00056
[rr_ratio] => 0.34
[high] => 0.03353000
[low] => 0.03278000
[mfe_pct] => 0.58
[mae_pct] => 1.7
[mfe_mae_ratio] => 0.34
[candles_analyzed] => 84
[start_at] => 2025-09-16T02:04:15-04:00
[end_at] => 2025-09-16T09:04:15-04:00
)
[breakout] => Array
(
[high_before] => 0.03299400
[high_after] => 0.03329100
[low_before] => 0.03214500
[low_after] => 0.03278000
[is_new_high] =>
[is_new_low] =>
)
)