Short Trade on QTUM 29 Aug 2025 at 19:43:44
Take profit at 2.6547 (0.5 %) and Stop Loss at 2.6768 (0.33 %)
Short Trade on QTUM 29 Aug 2025 at 19:43:44
Take profit at 2.6547 (0.5 %) and Stop Loss at 2.6768 (0.33 %)
Position size of 2411.7649 $
Take profit at 2.6547 (0.5 %) and Stop Loss at 2.6768 (0.33 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.86 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.45 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.73 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.413362 |
2 |
Indicators:
108245
0.00228086
108492
0.413362
109577
-0.0099524
108486
110575
-0.0188401
108492
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 29 Aug 2025 19:43:44 |
29 Aug 2025 19:45:00 |
1 minute |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.668 | 2.6768 | 2.6547 | 1.51 | 0.931 |
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 = 2.6768 - 2.668 = 0.0087999999999999
Récompense (distance jusqu'au take profit):
E - TP = 2.668 - 2.6547 = 0.0133
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0133 / 0.0087999999999999 = 1.5114
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2411.7649 | 100 | 903.9598 | 24.12 |
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 / 0.0087999999999999 = 909.09
Taille de position USD = 909.09 x 2.668 = 2425.45
Donc, tu peux acheter 909.09 avec un stoploss a 2.6768
Avec un position size USD de 2425.45$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 909.09 x 0.0087999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 909.09 x 0.0133 = 12.09
Si Take Profit atteint, tu gagneras 12.09$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.5 % | 12.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.33 % | 7.95 $ |
| PNL | PNL % |
|---|---|
| -7.95 $ | -0.33 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7871 % | 238.66 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.6547
[entry_price] => 2.668
[stop_loss] => 2.67768
[rr_ratio] => 1.37
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-29 19:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.6547
[entry_price] => 2.668
[stop_loss] => 2.67856
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-29 19:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.6547
[entry_price] => 2.668
[stop_loss] => 2.67944
[rr_ratio] => 1.16
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-29 19:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.6547
[entry_price] => 2.668
[stop_loss] => 2.6812
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-29 19:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.035
[max_drawdown] => 0.28
[rr_ratio] => 0.13
[high] => 2.94800000
[low] => 2.63300000
[mfe_pct] => 1.31
[mae_pct] => 10.49
[mfe_mae_ratio] => 0.13
[candles_analyzed] => 24
[start_at] => 2025-08-29T19:43:44-04:00
[end_at] => 2025-08-29T21:43:44-04:00
)
[long_term] => Array
(
[max_gain] => 0.035
[max_drawdown] => 0.372
[rr_ratio] => 0.09
[high] => 3.04000000
[low] => 2.63300000
[mfe_pct] => 1.31
[mae_pct] => 13.94
[mfe_mae_ratio] => 0.09
[candles_analyzed] => 84
[start_at] => 2025-08-29T19:43:44-04:00
[end_at] => 2025-08-30T02:43:44-04:00
)
[breakout] => Array
(
[high_before] => 2.67800000
[high_after] => 3.04000000
[low_before] => 2.63900000
[low_after] => 2.63300000
[is_new_high] =>
[is_new_low] => 1
)
)