Long Trade on RAY 04 Aug 2025 at 23:36:56
Take profit at 2.7197 (0.71 %) and Stop Loss at 2.6875 (0.48 %)
Long Trade on RAY 04 Aug 2025 at 23:36:56
Take profit at 2.7197 (0.71 %) and Stop Loss at 2.6875 (0.48 %)
Position size of 1680.9118 $
Take profit at 2.7197 (0.71 %) and Stop Loss at 2.6875 (0.48 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.79 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.84 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.75 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.628083 |
Indicators:
114803
-0.00482246
114250
0.628083
114778
-0.00443643
114268
114402
-0.00133167
114250
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 04 Aug 2025 23:36:56 |
05 Aug 2025 00:35:00 |
58 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.7004 | 2.6875 | 2.7197 | 1.5 | 0.6157 |
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 = 2.6875 - 2.7004 = -0.0129
Récompense (distance jusqu'au take profit):
E - TP = 2.7004 - 2.7197 = -0.0193
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0193 / -0.0129 = 1.4961
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1680.9118 | 100 | 622.4677 | 16.81 |
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 / -0.0129 = -620.16
Taille de position USD = -620.16 x 2.7004 = -1674.68
Donc, tu peux acheter -620.16 avec un stoploss a 2.6875
Avec un position size USD de -1674.68$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -620.16 x -0.0129 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -620.16 x -0.0193 = 11.97
Si Take Profit atteint, tu gagneras 11.97$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.71 % | 12.01 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.48 % | 8.03 $ |
| PNL | PNL % |
|---|---|
| -8.03 $ | -0.48 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5518 % | 115.51 % | 9 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 2.7197
[entry_price] => 2.7004
[stop_loss] => 2.68621
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-05 00:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 2.7197
[entry_price] => 2.7004
[stop_loss] => 2.68492
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-05 00:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 2.7197
[entry_price] => 2.7004
[stop_loss] => 2.68363
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-05 02:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 2.7197
[entry_price] => 2.7004
[stop_loss] => 2.68105
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-05 02:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0088999999999997
[max_drawdown] => 0.0164
[rr_ratio] => 0.54
[high] => 2.70930000
[low] => 2.68400000
[mfe_pct] => 0.33
[mae_pct] => 0.61
[mfe_mae_ratio] => 0.54
[candles_analyzed] => 24
[start_at] => 2025-08-04T23:36:56-04:00
[end_at] => 2025-08-05T01:36:56-04:00
)
[long_term] => Array
(
[max_gain] => 0.0544
[max_drawdown] => 0.0823
[rr_ratio] => 0.66
[high] => 2.75480000
[low] => 2.61810000
[mfe_pct] => 2.01
[mae_pct] => 3.05
[mfe_mae_ratio] => 0.66
[candles_analyzed] => 84
[start_at] => 2025-08-04T23:36:56-04:00
[end_at] => 2025-08-05T06:36:56-04:00
)
[breakout] => Array
(
[high_before] => 2.79940000
[high_after] => 2.70930000
[low_before] => 2.69280000
[low_after] => 2.61810000
[is_new_high] =>
[is_new_low] =>
)
)