Short Trade on QTUM 01 Sep 2025 at 19:47:21
Take profit at 2.5678 (0.86 %) and Stop Loss at 2.6048 (0.57 %)
Short Trade on QTUM 01 Sep 2025 at 19:47:21
Take profit at 2.5678 (0.86 %) and Stop Loss at 2.6048 (0.57 %)
Position size of 1397.2732 $
Take profit at 2.5678 (0.86 %) and Stop Loss at 2.6048 (0.57 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.93 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.84 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.8 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : range_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.510675 |
0 |
Indicators:
108582
0.00685544
109327
0.510675
108648
0.00624332
109327
109204
0.00112452
109327
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 19:47:21 |
01 Sep 2025 19:55:00 |
7 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.59 | 2.6048 | 2.5678 | 1.5 | 0.947 |
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 = 2.6048 - 2.59 = 0.0148
Récompense (distance jusqu'au take profit):
E - TP = 2.59 - 2.5678 = 0.0222
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0222 / 0.0148 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1397.2732 | 100 | 539.4877 | 13.97 |
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 / 0.0148 = 540.54
Taille de position USD = 540.54 x 2.59 = 1400
Donc, tu peux acheter 540.54 avec un stoploss a 2.6048
Avec un position size USD de 1400$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 540.54 x 0.0148 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 540.54 x 0.0222 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.86 % | 11.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.57 % | 7.98 $ |
| PNL | PNL % |
|---|---|
| -7.98 $ | -0.57 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5792 % | 101.37 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.5678
[entry_price] => 2.59
[stop_loss] => 2.60628
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 20:00:00
[result] => win
)
[1.2] => Array
(
[take_profit] => 2.5678
[entry_price] => 2.59
[stop_loss] => 2.60776
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 20:00:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 2.5678
[entry_price] => 2.59
[stop_loss] => 2.60924
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 20:00:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 2.5678
[entry_price] => 2.59
[stop_loss] => 2.6122
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 20:00:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.041
[max_drawdown] => 0.037
[rr_ratio] => 1.11
[high] => 2.62700000
[low] => 2.54900000
[mfe_pct] => 1.58
[mae_pct] => 1.43
[mfe_mae_ratio] => 1.11
[candles_analyzed] => 24
[start_at] => 2025-09-01T19:47:21-04:00
[end_at] => 2025-09-01T21:47:21-04:00
)
[long_term] => Array
(
[max_gain] => 0.041
[max_drawdown] => 0.054
[rr_ratio] => 0.76
[high] => 2.64400000
[low] => 2.54900000
[mfe_pct] => 1.58
[mae_pct] => 2.08
[mfe_mae_ratio] => 0.76
[candles_analyzed] => 84
[start_at] => 2025-09-01T19:47:21-04:00
[end_at] => 2025-09-02T02:47:21-04:00
)
[breakout] => Array
(
[high_before] => 2.61000000
[high_after] => 2.64400000
[low_before] => 2.53000000
[low_after] => 2.54900000
[is_new_high] =>
[is_new_low] =>
)
)