Short Trade on AVAX
The 04 Jul 2025 at 18:45:21
With 174.7502 AVAX at 17.867$ per unit.
Position size of 3122.2621 $
Take profit at 17.7983 (0.38 %) and Stop Loss at 17.9128 (0.26 %)
That's a 1.5 RR TradePrediction 1 | Probability |
---|---|
Weak Trade
|
0.54 |
Prediction 2 | Probability |
---|---|
2 | 0.42 |
Prediction 3 | Probability |
---|---|
n/a |
Indicators:
Position size of 3122.2621 $
Take profit at 17.7983 (0.38 %) and Stop Loss at 17.9128 (0.26 %)
That's a 1.5 RR TradeSimilar Trade Score: 22.5 %
Start at | Closed at | Duration |
---|---|---|
04 Jul 2025 18:45:21 |
04 Jul 2025 19:15:00 |
29 minutes |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
17.867 | 17.9128 | 17.7983 | 1.5 | 26.162 |
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 = 17.9128 - 17.867 = 0.0458
Récompense (distance jusqu'au take profit):
E - TP = 17.867 - 17.7983 = 0.0687
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0687 / 0.0458 = 1.5
Amount | Margin | Quantity | Leverage |
---|---|---|---|
3122.2621 | 100 | 174.7502 | 31.22 |
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 / 0.0458 = 174.67
Taille de position USD = 174.67 x 17.867 = 3120.83
Donc, tu peux acheter 174.67 avec un stoploss a 17.9128
Avec un position size USD de 3120.83$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 174.67 x 0.0458 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 174.67 x 0.0687 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
TP % Target | TP $ Target |
---|---|
0.38 % | 12.01 $ |
SL % Target | SL $ Target |
---|---|
0.26 % | 8 $ |
PNL | PNL % |
---|---|
12.23 $ | 0.39 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
-0.0056 % | 2.5 % | 3 |
Array
(
[2] => Array
(
[take_profit] => 17.79
[stop_loss] => 17.91
[rr_ratio] => 2
[closed_at] => 2025-07-04 19:40:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 17.77
[stop_loss] => 17.91
[rr_ratio] => 2.5
[closed_at] => 2025-07-04 19:40:00
[result] => win
)
[3] => Array
(
[take_profit] => 17.75
[stop_loss] => 17.91
[rr_ratio] => 3
[closed_at] => 2025-07-04 21:15:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 17.73
[stop_loss] => 17.91
[rr_ratio] => 3.5
[closed_at] => 2025-07-04 21:30:00
[result] => win
)
[4] => Array
(
[take_profit] => 17.71
[stop_loss] => 17.91
[rr_ratio] => 4
[closed_at] => 2025-07-04 21:40:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 17.69
[stop_loss] => 17.91
[rr_ratio] => 4.5
[closed_at] => 2025-07-04 21:50:00
[result] => win
)
[5] => Array
(
[take_profit] => 17.67
[stop_loss] => 17.91
[rr_ratio] => 5
[closed_at] => 2025-07-04 22:30:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 17.65
[stop_loss] => 17.91
[rr_ratio] => 5.5
[closed_at] => 2025-07-04 22:30:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.11
[max_drawdown] => 0.0039999999999978
[rr_ratio] => 27.5
[high] => 17.87100000
[low] => 17.75700000
[mfe_pct] => 0.62
[mae_pct] => 0.02
[mfe_mae_ratio] => 27.5
[candles_analyzed] => 24
[start_at] => 2025-07-04T18:45:21-04:00
[end_at] => 2025-07-04T20:45:21-04:00
)
[long_term] => Array
(
[max_gain] => 0.222
[max_drawdown] => 0.0039999999999978
[rr_ratio] => 55.5
[high] => 17.87100000
[low] => 17.64500000
[mfe_pct] => 1.24
[mae_pct] => 0.02
[mfe_mae_ratio] => 55.5
[candles_analyzed] => 72
[start_at] => 2025-07-04T18:45:21-04:00
[end_at] => 2025-07-05T00:45:21-04:00
)
[breakout] => Array
(
[high_before] => 17.88200000
[high_after] => 17.87100000
[low_before] => 17.62100000
[low_after] => 17.64500000
[is_new_high] =>
[is_new_low] =>
)
)