Short Trade on RAY 01 Sep 2025 at 03:37:56
Take profit at 3.3383 (1.25 %) and Stop Loss at 3.4088 (0.83 %)
Short Trade on RAY 01 Sep 2025 at 03:37:56
Take profit at 3.3383 (1.25 %) and Stop Loss at 3.4088 (0.83 %)
Position size of 959.8157 $
Take profit at 3.3383 (1.25 %) and Stop Loss at 3.4088 (0.83 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.58 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.58 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.65 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.757968 |
1 |
Indicators:
107932
0.00645787
108629
0.757968
108308
0.0040864
108751
109497
-0.00793032
108629
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 03:37:56 |
01 Sep 2025 03:45:00 |
7 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 3.3806 | 3.4088 | 3.3383 | 1.5 | 0.6181 |
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 = 3.4088 - 3.3806 = 0.0282
Récompense (distance jusqu'au take profit):
E - TP = 3.3806 - 3.3383 = 0.0423
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0423 / 0.0282 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 959.8157 | 100 | 283.9188 | 9.60 |
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 / 0.0282 = 283.69
Taille de position USD = 283.69 x 3.3806 = 959.04
Donc, tu peux acheter 283.69 avec un stoploss a 3.4088
Avec un position size USD de 959.04$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 283.69 x 0.0282 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 283.69 x 0.0423 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.25 % | 12.01 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.83 % | 8.01 $ |
| PNL | PNL % |
|---|---|
| -8.01 $ | -0.83 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9347 % | 112.05 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 3.3383
[entry_price] => 3.3806
[stop_loss] => 3.41162
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 03:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 3.3383
[entry_price] => 3.3806
[stop_loss] => 3.41444
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 03:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 3.3383
[entry_price] => 3.3806
[stop_loss] => 3.41726
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 03:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 3.3383
[entry_price] => 3.3806
[stop_loss] => 3.4229
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 03:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.012
[max_drawdown] => 0.1129
[rr_ratio] => 0.11
[high] => 3.49350000
[low] => 3.36860000
[mfe_pct] => 0.35
[mae_pct] => 3.34
[mfe_mae_ratio] => 0.11
[candles_analyzed] => 24
[start_at] => 2025-09-01T03:37:56-04:00
[end_at] => 2025-09-01T05:37:56-04:00
)
[long_term] => Array
(
[max_gain] => 0.0546
[max_drawdown] => 0.1129
[rr_ratio] => 0.48
[high] => 3.49350000
[low] => 3.32600000
[mfe_pct] => 1.62
[mae_pct] => 3.34
[mfe_mae_ratio] => 0.48
[candles_analyzed] => 84
[start_at] => 2025-09-01T03:37:56-04:00
[end_at] => 2025-09-01T10:37:56-04:00
)
[breakout] => Array
(
[high_before] => 3.39190000
[high_after] => 3.49350000
[low_before] => 3.28360000
[low_after] => 3.33480000
[is_new_high] =>
[is_new_low] =>
)
)