Short Trade on AVAX 02 Jun 2025 at 08:44:27
Take profit at 20.3522 (0.65 %) and Stop Loss at 20.5736 (0.43 %)
Short Trade on AVAX 02 Jun 2025 at 08:44:27
Take profit at 20.3522 (0.65 %) and Stop Loss at 20.5736 (0.43 %)
Position size of 1850.4251 $
Take profit at 20.3522 (0.65 %) and Stop Loss at 20.5736 (0.43 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.65 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.37 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.781786 |
Indicators:
104591
-0.00401679
104170
0.781786
104732
-0.00535908
104170
105242
-0.0101784
104170
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 02 Jun 2025 08:44:27 |
02 Jun 2025 09:30:00 |
45 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 20.485 | 20.5736 | 20.3522 | 1.5 | 9.107 |
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 = 20.5736 - 20.485 = 0.0886
Récompense (distance jusqu'au take profit):
E - TP = 20.485 - 20.3522 = 0.1328
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.1328 / 0.0886 = 1.4989
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1850.4251 | 100 | 90.3307 | 18.50 |
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 / 0.0886 = 90.29
Taille de position USD = 90.29 x 20.485 = 1849.59
Donc, tu peux acheter 90.29 avec un stoploss a 20.5736
Avec un position size USD de 1849.59$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 90.29 x 0.0886 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 90.29 x 0.1328 = 11.99
Si Take Profit atteint, tu gagneras 11.99$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.65 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.43 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.13 $ | -0.44 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.48828124999999 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 20.35
[entry_price] => 20.48
[stop_loss] => 20.579
[rr_ratio] => 1.31
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-02 09:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 20.35
[entry_price] => 20.48
[stop_loss] => 20.588
[rr_ratio] => 1.2
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-02 09:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 20.35
[entry_price] => 20.48
[stop_loss] => 20.597
[rr_ratio] => 1.11
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-02 09:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 20.35
[entry_price] => 20.48
[stop_loss] => 20.615
[rr_ratio] => 0.96
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-02 09:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.133
[max_drawdown] => 0.198
[rr_ratio] => 0.67
[high] => 20.68300000
[low] => 20.35200000
[mfe_pct] => 0.65
[mae_pct] => 0.97
[mfe_mae_ratio] => 0.67
[candles_analyzed] => 24
[start_at] => 2025-06-02T08:44:27-04:00
[end_at] => 2025-06-02T10:44:27-04:00
)
[long_term] => Array
(
[max_gain] => 0.133
[max_drawdown] => 0.272
[rr_ratio] => 0.49
[high] => 20.75700000
[low] => 20.35200000
[mfe_pct] => 0.65
[mae_pct] => 1.33
[mfe_mae_ratio] => 0.49
[candles_analyzed] => 72
[start_at] => 2025-06-02T08:44:27-04:00
[end_at] => 2025-06-02T14:44:27-04:00
)
[breakout] => Array
(
[high_before] => 20.66800000
[high_after] => 20.75700000
[low_before] => 20.21300000
[low_after] => 20.35200000
[is_new_high] =>
[is_new_low] =>
)
)