Short Trade on ARC 16 May 2025 at 09:18:48
Take profit at 0.06988 (1.65 %) and Stop Loss at 0.07183 (1.1 %)
Short Trade on ARC 16 May 2025 at 09:18:48
Take profit at 0.06988 (1.65 %) and Stop Loss at 0.07183 (1.1 %)
Position size of 727.5588 $
Take profit at 0.06988 (1.65 %) and Stop Loss at 0.07183 (1.1 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.59 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.42 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.624534 |
Indicators:
103686
-0.00140645
103540
0.624534
103452
0.00084694
103540
103470
0.000675793
103540
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 16 May 2025 09:18:48 |
16 May 2025 09:35:00 |
16 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.07105 | 0.07183 | 0.06988 | 1.5 | 0.02814 |
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 = 0.07183 - 0.07105 = 0.00078
Récompense (distance jusqu'au take profit):
E - TP = 0.07105 - 0.06988 = 0.00117
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00117 / 0.00078 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 727.5588 | 100 | 10240.0956 | 7.28 |
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 / 0.00078 = 10256.41
Taille de position USD = 10256.41 x 0.07105 = 728.72
Donc, tu peux acheter 10256.41 avec un stoploss a 0.07183
Avec un position size USD de 728.72$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 10256.41 x 0.00078 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 10256.41 x 0.00117 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.65 % | 11.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.1 % | 7.99 $ |
| PNL | PNL % |
|---|---|
| -7.99 $ | -1.10 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.1400422237861 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.06988
[entry_price] => 0.07105
[stop_loss] => 0.071908
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-16 09:40:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.06988
[entry_price] => 0.07105
[stop_loss] => 0.071986
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-16 09:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.06988
[entry_price] => 0.07105
[stop_loss] => 0.072064
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-16 09:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.06988
[entry_price] => 0.07105
[stop_loss] => 0.07222
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-16 09:55:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00275
[max_drawdown] => 0.00117
[rr_ratio] => 2.35
[high] => 0.07222000
[low] => 0.06830000
[mfe_pct] => 3.87
[mae_pct] => 1.65
[mfe_mae_ratio] => 2.35
[candles_analyzed] => 24
[start_at] => 2025-05-16T09:18:48-04:00
[end_at] => 2025-05-16T11:18:48-04:00
)
[long_term] => Array
(
[max_gain] => 0.00425
[max_drawdown] => 0.00117
[rr_ratio] => 3.63
[high] => 0.07222000
[low] => 0.06680000
[mfe_pct] => 5.98
[mae_pct] => 1.65
[mfe_mae_ratio] => 3.63
[candles_analyzed] => 72
[start_at] => 2025-05-16T09:18:48-04:00
[end_at] => 2025-05-16T15:18:48-04:00
)
[breakout] => Array
(
[high_before] => 0.07134000
[high_after] => 0.07222000
[low_before] => 0.06888000
[low_after] => 0.06680000
[is_new_high] =>
[is_new_low] => 1
)
)