Short Trade on RESOLV
The 12 Nov 2025 at 16:27:08
With 5553.295 RESOLV at 0.1181$ per unit.
Position size of 656.0107 $
Take profit at 0.1152 (2.46 %) and Stop Loss at 0.1196 (1.27 %)
That's a 1.93 RR TradePosition size of 656.0107 $
Take profit at 0.1152 (2.46 %) and Stop Loss at 0.1196 (1.27 %)
That's a 1.93 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.93 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.87 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.94 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear rules_regime : bear_medium rules_regime_5m : bear_low |
1H_regime : bear_high 15m_regime : bear_high 5m_regime : range_high |
| BTC Correlation | Score |
|---|---|
|
5m : 0.422221 15m : -0.00155 1H : 0.018178 |
3 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 12 Nov 2025 16:27:08 |
12 Nov 2025 16:30:00 |
2 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1181 | 0.1196 | 0.1152 | 1.93 | 0.142 |
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 = 0.1196 - 0.1181 = 0.0015
Récompense (distance jusqu'au take profit):
E - TP = 0.1181 - 0.1152 = 0.0029
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0029 / 0.0015 = 1.9333
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 656.0107 | 100 | 5553.295 | 6.56 |
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 / 0.0015 = 5333.33
Taille de position USD = 5333.33 x 0.1181 = 629.87
Donc, tu peux acheter 5333.33 avec un stoploss a 0.1196
Avec un position size USD de 629.87$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 5333.33 x 0.0015 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 5333.33 x 0.0029 = 15.47
Si Take Profit atteint, tu gagneras 15.47$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.46 % | 16.1 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.27 % | 8.33 $ |
| PNL | PNL % |
|---|---|
| -8.33 $ | -1.27 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.8036 % | 142 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1152
[entry_price] => 0.1181
[stop_loss] => 0.11975
[rr_ratio] => 1.76
[sl_change_percentage] => 1.1
[closed_at] => 2025-11-12 16:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1152
[entry_price] => 0.1181
[stop_loss] => 0.1199
[rr_ratio] => 1.61
[sl_change_percentage] => 1.2
[closed_at] => 2025-11-12 16:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1152
[entry_price] => 0.1181
[stop_loss] => 0.12005
[rr_ratio] => 1.49
[sl_change_percentage] => 1.3
[closed_at] => 2025-11-12 16:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1152
[entry_price] => 0.1181
[stop_loss] => 0.12035
[rr_ratio] => 1.29
[sl_change_percentage] => 1.5
[closed_at] => 2025-11-12 16:40:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => -0.00049
[max_drawdown] => 0.00779
[rr_ratio] => -0.06
[high] => 0.12589000
[low] => 0.11859000
[mfe_pct] => -0.41
[mae_pct] => 6.6
[mfe_mae_ratio] => -0.06
[candles_analyzed] => 24
[start_at] => 2025-11-12T16:27:08-05:00
[end_at] => 2025-11-12T18:27:08-05:00
)
[long_term] => Array
(
[max_gain] => 0.00213
[max_drawdown] => 0.01478
[rr_ratio] => 0.14
[high] => 0.13288000
[low] => 0.11597000
[mfe_pct] => 1.8
[mae_pct] => 12.51
[mfe_mae_ratio] => 0.14
[candles_analyzed] => 84
[start_at] => 2025-11-12T16:27:08-05:00
[end_at] => 2025-11-12T23:27:08-05:00
)
[breakout] => Array
(
[high_before] => 0.12190000
[high_after] => 0.12589000
[low_before] => 0.11407000
[low_after] => 0.11597000
[is_new_high] =>
[is_new_low] =>
)
)