Short Trade on RAY 02 Aug 2025 at 22:49:34
Take profit at 2.5123 (0.75 %) and Stop Loss at 2.5439 (0.5 %)
Short Trade on RAY 02 Aug 2025 at 22:49:34
Take profit at 2.5123 (0.75 %) and Stop Loss at 2.5439 (0.5 %)
Position size of 1601.22 $
Take profit at 2.5123 (0.75 %) and Stop Loss at 2.5439 (0.5 %)
That's a 1.51 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.9 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.52 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.63 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.857565 |
Indicators:
112746
0.0054765
113364
0.857565
113110
0.00224432
113364
115192
-0.015871
113364
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 02 Aug 2025 22:49:34 |
03 Aug 2025 03:30:00 |
4 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.5313 | 2.5439 | 2.5123 | 1.51 | 0.5716 |
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 = 2.5439 - 2.5313 = 0.0126
Récompense (distance jusqu'au take profit):
E - TP = 2.5313 - 2.5123 = 0.019
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.019 / 0.0126 = 1.5079
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1601.22 | 100 | 632.5682 | 16.01 |
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 / 0.0126 = 634.92
Taille de position USD = 634.92 x 2.5313 = 1607.17
Donc, tu peux acheter 634.92 avec un stoploss a 2.5439
Avec un position size USD de 1607.17$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 634.92 x 0.0126 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 634.92 x 0.019 = 12.06
Si Take Profit atteint, tu gagneras 12.06$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.75 % | 12.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.5 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -0.50 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4978 % | 100 % | 18 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.5123
[entry_price] => 2.5313
[stop_loss] => 2.54516
[rr_ratio] => 1.37
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-03 03:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.5123
[entry_price] => 2.5313
[stop_loss] => 2.54642
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-03 03:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.5123
[entry_price] => 2.5313
[stop_loss] => 2.54768
[rr_ratio] => 1.16
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-03 03:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.5123
[entry_price] => 2.5313
[stop_loss] => 2.5502
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-03 04:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0132
[max_drawdown] => 0.0072000000000001
[rr_ratio] => 1.83
[high] => 2.53850000
[low] => 2.51810000
[mfe_pct] => 0.52
[mae_pct] => 0.28
[mfe_mae_ratio] => 1.83
[candles_analyzed] => 24
[start_at] => 2025-08-02T22:49:34-04:00
[end_at] => 2025-08-03T00:49:34-04:00
)
[long_term] => Array
(
[max_gain] => 0.0169
[max_drawdown] => 0.022
[rr_ratio] => 0.77
[high] => 2.55330000
[low] => 2.51440000
[mfe_pct] => 0.67
[mae_pct] => 0.87
[mfe_mae_ratio] => 0.77
[candles_analyzed] => 84
[start_at] => 2025-08-02T22:49:34-04:00
[end_at] => 2025-08-03T05:49:34-04:00
)
[breakout] => Array
(
[high_before] => 2.53140000
[high_after] => 2.55330000
[low_before] => 2.44990000
[low_after] => 2.51440000
[is_new_high] =>
[is_new_low] =>
)
)