Long Trade on SPX 01 Sep 2025 at 06:45:49
Take profit at 1.162 (1.48 %) and Stop Loss at 1.1338 (0.99 %)
Long Trade on SPX 01 Sep 2025 at 06:45:49
Take profit at 1.162 (1.48 %) and Stop Loss at 1.1338 (0.99 %)
Position size of 812.9999 $
Take profit at 1.162 (1.48 %) and Stop Loss at 1.1338 (0.99 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.74 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.83 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.55 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : range_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.678008 |
0 |
Indicators:
108545
-0.00221001
108306
0.678008
108484
-0.0016478
108306
109508
-0.010977
108306
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 06:45:49 |
01 Sep 2025 07:30:00 |
44 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.1451 | 1.1338 | 1.162 | 1.5 | 0.3124 |
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 = 1.1338 - 1.1451 = -0.0113
Récompense (distance jusqu'au take profit):
E - TP = 1.1451 - 1.162 = -0.0169
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0169 / -0.0113 = 1.4956
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 812.9999 | 100 | 709.9816 | 8.13 |
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 / -0.0113 = -707.96
Taille de position USD = -707.96 x 1.1451 = -810.68
Donc, tu peux acheter -707.96 avec un stoploss a 1.1338
Avec un position size USD de -810.68$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -707.96 x -0.0113 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -707.96 x -0.0169 = 11.96
Si Take Profit atteint, tu gagneras 11.96$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.48 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.99 % | 8.02 $ |
| PNL | PNL % |
|---|---|
| -8.02 $ | -0.99 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9868 % | 100 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.162
[entry_price] => 1.1451
[stop_loss] => 1.13267
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 07:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.162
[entry_price] => 1.1451
[stop_loss] => 1.13154
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 07:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.162
[entry_price] => 1.1451
[stop_loss] => 1.13041
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 07:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.162
[entry_price] => 1.1451
[stop_loss] => 1.12815
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 08:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0045999999999999
[max_drawdown] => 0.0232
[rr_ratio] => 0.2
[high] => 1.14970000
[low] => 1.12190000
[mfe_pct] => 0.4
[mae_pct] => 2.03
[mfe_mae_ratio] => 0.2
[candles_analyzed] => 24
[start_at] => 2025-09-01T06:45:49-04:00
[end_at] => 2025-09-01T08:45:49-04:00
)
[long_term] => Array
(
[max_gain] => 0.0045999999999999
[max_drawdown] => 0.06
[rr_ratio] => 0.08
[high] => 1.14970000
[low] => 1.08510000
[mfe_pct] => 0.4
[mae_pct] => 5.24
[mfe_mae_ratio] => 0.08
[candles_analyzed] => 84
[start_at] => 2025-09-01T06:45:49-04:00
[end_at] => 2025-09-01T13:45:49-04:00
)
[breakout] => Array
(
[high_before] => 1.20890000
[high_after] => 1.14970000
[low_before] => 1.10510000
[low_after] => 1.09510000
[is_new_high] =>
[is_new_low] =>
)
)