Short Trade on MERL
The 02 Dec 2025 at 08:57:24
With 1982.4757 MERL at 0.335$ per unit.
Position size of 664.1294 $
Take profit at 0.3269 (2.42 %) and Stop Loss at 0.339 (1.19 %)
That's a 2.03 RR TradePosition size of 664.1294 $
Take profit at 0.3269 (2.42 %) and Stop Loss at 0.339 (1.19 %)
That's a 2.03 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.76 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.68 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.52 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_high rules_regime_5m : bull_low |
1H_regime : bear_high 15m_regime : bear_high 5m_regime : bull_high |
| BTC Correlation | Score |
|---|---|
|
5m : 0.105374 15m : -0.064841 1H : -0.015918 |
1 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 02 Dec 2025 08:57:24 |
02 Dec 2025 10:05:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.335 | 0.339 | 0.3269 | 2.03 | 0.4736 |
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 = 0.339 - 0.335 = 0.004
Récompense (distance jusqu'au take profit):
E - TP = 0.335 - 0.3269 = 0.0081
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0081 / 0.004 = 2.025
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 664.1294 | 100 | 1982.4757 | 6.64 |
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 / 0.004 = 2000
Taille de position USD = 2000 x 0.335 = 670
Donc, tu peux acheter 2000 avec un stoploss a 0.339
Avec un position size USD de 670$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 2000 x 0.004 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 2000 x 0.0081 = 16.2
Si Take Profit atteint, tu gagneras 16.2$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.42 % | 16.06 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.19 % | 7.93 $ |
| PNL | PNL % |
|---|---|
| -7.93 $ | -1.19 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.9104 % | 160 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.3269
[entry_price] => 0.335
[stop_loss] => 0.3394
[rr_ratio] => 1.84
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-02 10:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.3269
[entry_price] => 0.335
[stop_loss] => 0.3398
[rr_ratio] => 1.69
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-02 10:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.3269
[entry_price] => 0.335
[stop_loss] => 0.3402
[rr_ratio] => 1.56
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-02 10:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.3269
[entry_price] => 0.335
[stop_loss] => 0.341
[rr_ratio] => 1.35
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-02 10:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.008
[max_drawdown] => 0.0148
[rr_ratio] => 0.54
[high] => 0.34980000
[low] => 0.32700000
[mfe_pct] => 2.39
[mae_pct] => 4.42
[mfe_mae_ratio] => 0.54
[candles_analyzed] => 24
[start_at] => 2025-12-02T08:57:24-05:00
[end_at] => 2025-12-02T10:57:24-05:00
)
[long_term] => Array
(
[max_gain] => 0.0198
[max_drawdown] => 0.0148
[rr_ratio] => 1.34
[high] => 0.34980000
[low] => 0.31520000
[mfe_pct] => 5.91
[mae_pct] => 4.42
[mfe_mae_ratio] => 1.34
[candles_analyzed] => 84
[start_at] => 2025-12-02T08:57:24-05:00
[end_at] => 2025-12-02T15:57:24-05:00
)
[breakout] => Array
(
[high_before] => 0.33740000
[high_after] => 0.34980000
[low_before] => 0.32020000
[low_after] => 0.31630000
[is_new_high] =>
[is_new_low] => 1
)
)