Short Trade on COMP
The 13 Dec 2025 at 09:26:51
With 54.6127 COMP at 29.58$ per unit.
Position size of 1615.4445 $
Take profit at 29.287 (0.99 %) and Stop Loss at 29.7265 (0.5 %)
That's a 2 RR TradePosition size of 1615.4445 $
Take profit at 29.287 (0.99 %) and Stop Loss at 29.7265 (0.5 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.69 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.6 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.65 |
| 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 : range_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.197197 15m : 0.042088 1H : 0.005961 |
1 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 13 Dec 2025 09:26:51 |
13 Dec 2025 09:40:00 |
13 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 29.58 | 29.7265 | 29.287 | 2 | 27.35 |
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 = 29.7265 - 29.58 = 0.1465
Récompense (distance jusqu'au take profit):
E - TP = 29.58 - 29.287 = 0.293
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.293 / 0.1465 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1615.4445 | 100 | 54.6127 | 16.15 |
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 / 0.1465 = 54.61
Taille de position USD = 54.61 x 29.58 = 1615.36
Donc, tu peux acheter 54.61 avec un stoploss a 29.7265
Avec un position size USD de 1615.36$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 54.61 x 0.1465 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 54.61 x 0.293 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.99 % | 16 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.5 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -0.50 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5409 % | 109.21 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 29.287
[entry_price] => 29.58
[stop_loss] => 29.74115
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-12-13 09:55:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 29.287
[entry_price] => 29.58
[stop_loss] => 29.7558
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-12-13 09:55:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 29.287
[entry_price] => 29.58
[stop_loss] => 29.77045
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-12-13 09:55:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 29.287
[entry_price] => 29.58
[stop_loss] => 29.79975
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-12-13 10:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.079999999999998
[max_drawdown] => 0.37
[rr_ratio] => 0.22
[high] => 29.95000000
[low] => 29.50000000
[mfe_pct] => 0.27
[mae_pct] => 1.25
[mfe_mae_ratio] => 0.22
[candles_analyzed] => 24
[start_at] => 2025-12-13T09:26:51-05:00
[end_at] => 2025-12-13T11:26:51-05:00
)
[long_term] => Array
(
[max_gain] => 0.079999999999998
[max_drawdown] => 0.67
[rr_ratio] => 0.12
[high] => 30.25000000
[low] => 29.50000000
[mfe_pct] => 0.27
[mae_pct] => 2.27
[mfe_mae_ratio] => 0.12
[candles_analyzed] => 84
[start_at] => 2025-12-13T09:26:51-05:00
[end_at] => 2025-12-13T16:26:51-05:00
)
[breakout] => Array
(
[high_before] => 30.73000000
[high_after] => 30.25000000
[low_before] => 28.56000000
[low_after] => 29.50000000
[is_new_high] =>
[is_new_low] =>
)
)