Long Trade on MBOX
The 08 Nov 2025 at 19:14:04
With 27031.9546 MBOX at 0.04735$ per unit.
Position size of 1279.963 $
Take profit at 0.04794 (1.25 %) and Stop Loss at 0.04705 (0.63 %)
That's a 1.97 RR TradePosition size of 1279.963 $
Take profit at 0.04794 (1.25 %) and Stop Loss at 0.04705 (0.63 %)
That's a 1.97 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.62 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.62 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.55 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : bull_high 5m_regime : bear_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.052394 15m : -0.16291 1H : 0.09972 |
0 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 08 Nov 2025 19:14:04 |
08 Nov 2025 19:15:00 |
56 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.04735 | 0.04705 | 0.04794 | 1.97 | 0.03129 |
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 = 0.04705 - 0.04735 = -0.0003
Récompense (distance jusqu'au take profit):
E - TP = 0.04735 - 0.04794 = -0.00059
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.00059 / -0.0003 = 1.9667
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1279.963 | 100 | 27031.9546 | 12.80 |
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 / -0.0003 = -26666.67
Taille de position USD = -26666.67 x 0.04735 = -1262.67
Donc, tu peux acheter -26666.67 avec un stoploss a 0.04705
Avec un position size USD de -1262.67$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -26666.67 x -0.0003 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -26666.67 x -0.00059 = 15.73
Si Take Profit atteint, tu gagneras 15.73$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.25 % | 15.95 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.63 % | 8.11 $ |
| PNL | PNL % |
|---|---|
| -8.11 $ | -0.63 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6547 % | 103.33 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.04794
[entry_price] => 0.04735
[stop_loss] => 0.04702
[rr_ratio] => 1.79
[sl_change_percentage] => 1.1
[closed_at] => 2025-11-08 19:50:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.04794
[entry_price] => 0.04735
[stop_loss] => 0.04699
[rr_ratio] => 1.64
[sl_change_percentage] => 1.2
[closed_at] => 2025-11-08 20:15:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 0.04794
[entry_price] => 0.04735
[stop_loss] => 0.04696
[rr_ratio] => 1.51
[sl_change_percentage] => 1.3
[closed_at] => 2025-11-08 20:15:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.04794
[entry_price] => 0.04735
[stop_loss] => 0.0469
[rr_ratio] => 1.31
[sl_change_percentage] => 1.5
[closed_at] => 2025-11-08 20:15:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00156
[max_drawdown] => 0.00033
[rr_ratio] => 4.73
[high] => 0.04891000
[low] => 0.04702000
[mfe_pct] => 3.29
[mae_pct] => 0.7
[mfe_mae_ratio] => 4.73
[candles_analyzed] => 24
[start_at] => 2025-11-08T19:14:04-05:00
[end_at] => 2025-11-08T21:14:04-05:00
)
[long_term] => Array
(
[max_gain] => 0.00156
[max_drawdown] => 0.00194
[rr_ratio] => 0.8
[high] => 0.04891000
[low] => 0.04541000
[mfe_pct] => 3.29
[mae_pct] => 4.1
[mfe_mae_ratio] => 0.8
[candles_analyzed] => 84
[start_at] => 2025-11-08T19:14:04-05:00
[end_at] => 2025-11-09T02:14:04-05:00
)
[breakout] => Array
(
[high_before] => 0.05055000
[high_after] => 0.04891000
[low_before] => 0.04719000
[low_after] => 0.04541000
[is_new_high] =>
[is_new_low] =>
)
)