Short Trade on QTUM 29 Aug 2025 at 08:12:52
Take profit at 2.6452 (0.67 %) and Stop Loss at 2.6749 (0.45 %)
Short Trade on QTUM 29 Aug 2025 at 08:12:52
Take profit at 2.6452 (0.67 %) and Stop Loss at 2.6749 (0.45 %)
Position size of 1790.8267 $
Take profit at 2.6452 (0.67 %) and Stop Loss at 2.6749 (0.45 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.74 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.57 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.81 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.293654 |
2 |
Indicators:
110366
-0.00159916
110189
0.293654
111378
-0.0106686
110189
111494
-0.0116989
110189
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 29 Aug 2025 08:12:52 |
29 Aug 2025 08:30:00 |
17 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.663 | 2.6749 | 2.6452 | 1.5 | 0.873 |
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 = 2.6749 - 2.663 = 0.0119
Récompense (distance jusqu'au take profit):
E - TP = 2.663 - 2.6452 = 0.0178
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0178 / 0.0119 = 1.4958
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1790.8267 | 100 | 672.4847 | 17.91 |
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 / 0.0119 = 672.27
Taille de position USD = 672.27 x 2.663 = 1790.26
Donc, tu peux acheter 672.27 avec un stoploss a 2.6749
Avec un position size USD de 1790.26$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 672.27 x 0.0119 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 672.27 x 0.0178 = 11.97
Si Take Profit atteint, tu gagneras 11.97$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.67 % | 11.97 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.45 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -0.45 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.9151 % | 428.53 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.6452
[entry_price] => 2.663
[stop_loss] => 2.67609
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-29 08:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.6452
[entry_price] => 2.663
[stop_loss] => 2.67728
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-29 08:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.6452
[entry_price] => 2.663
[stop_loss] => 2.67847
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-29 08:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.6452
[entry_price] => 2.663
[stop_loss] => 2.68085
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-29 08:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.054
[max_drawdown] => 0.051
[rr_ratio] => 1.06
[high] => 2.71400000
[low] => 2.60900000
[mfe_pct] => 2.03
[mae_pct] => 1.92
[mfe_mae_ratio] => 1.06
[candles_analyzed] => 24
[start_at] => 2025-08-29T08:12:52-04:00
[end_at] => 2025-08-29T10:12:52-04:00
)
[long_term] => Array
(
[max_gain] => 0.073
[max_drawdown] => 0.051
[rr_ratio] => 1.43
[high] => 2.71400000
[low] => 2.59000000
[mfe_pct] => 2.74
[mae_pct] => 1.92
[mfe_mae_ratio] => 1.43
[candles_analyzed] => 84
[start_at] => 2025-08-29T08:12:52-04:00
[end_at] => 2025-08-29T15:12:52-04:00
)
[breakout] => Array
(
[high_before] => 2.66900000
[high_after] => 2.71400000
[low_before] => 2.62600000
[low_after] => 2.59000000
[is_new_high] =>
[is_new_low] => 1
)
)