Short Trade on ATOM
The 20 Jun 2025 at 16:47:38
With 659.0466 ATOM at 3.966$ per unit.
Position size of 2613.7788 $
Take profit at 3.9478 (0.46 %) and Stop Loss at 3.9781 (0.31 %)
That's a 1.5 RR TradePrediction 1 | Probability |
---|---|
Strong Trade
|
0.62 |
Prediction 2 | Probability |
---|---|
0 | 0.4 |
Prediction 3 | Probability |
---|---|
n/a |
Indicators:
Position size of 2613.7788 $
Take profit at 3.9478 (0.46 %) and Stop Loss at 3.9781 (0.31 %)
That's a 1.5 RR TradeSimilar Trade Score: 34.17 %
Start at | Closed at | Duration |
---|---|---|
20 Jun 2025 16:47:38 |
20 Jun 2025 17:05:00 |
17 minutes |
Entry | Stop Loss | Take Profit | RR | Current Price |
---|---|---|---|---|
3.966 | 3.9781 | 3.9478 | 1.5 | 4.884 |
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 = 3.9781 - 3.966 = 0.0121
Récompense (distance jusqu'au take profit):
E - TP = 3.966 - 3.9478 = 0.0182
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0182 / 0.0121 = 1.5041
Amount | Margin | Quantity | Leverage |
---|---|---|---|
2613.7788 | 100 | 659.0466 | 26.14 |
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 / 0.0121 = 661.16
Taille de position USD = 661.16 x 3.966 = 2622.16
Donc, tu peux acheter 661.16 avec un stoploss a 3.9781
Avec un position size USD de 2622.16$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 661.16 x 0.0121 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 661.16 x 0.0182 = 12.03
Si Take Profit atteint, tu gagneras 12.03$
Résumé
TP % Target | TP $ Target |
---|---|
0.46 % | 11.99 $ |
SL % Target | SL $ Target |
---|---|
0.31 % | 7.97 $ |
PNL | PNL % |
---|---|
11.86 $ | 0.45 |
Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
---|---|---|
0 % | 0 % | 0 |
Array
(
[2] => Array
(
[take_profit] => 3.942
[stop_loss] => 3.978
[rr_ratio] => 2
[closed_at] => 2025-06-20 17:50:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 3.936
[stop_loss] => 3.978
[rr_ratio] => 2.5
[closed_at] => 2025-06-20 17:55:00
[result] => win
)
[3] => Array
(
[take_profit] => 3.93
[stop_loss] => 3.978
[rr_ratio] => 3
[closed_at] => 2025-06-20 17:55:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 3.924
[stop_loss] => 3.978
[rr_ratio] => 3.5
[closed_at] => 2025-06-20 18:00:00
[result] => win
)
[4] => Array
(
[take_profit] => 3.918
[stop_loss] => 3.978
[rr_ratio] => 4
[closed_at] => 2025-06-20 18:05:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 3.912
[stop_loss] => 3.978
[rr_ratio] => 4.5
[closed_at] => 2025-06-20 18:05:00
[result] => win
)
[5] => Array
(
[take_profit] => 3.906
[stop_loss] => 3.978
[rr_ratio] => 5
[closed_at] => 2025-06-20 18:05:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 3.9
[stop_loss] => 3.978
[rr_ratio] => 5.5
[closed_at] => 2025-06-20 18:15:00
[result] => win
)
[6] => Array
(
[take_profit] => 3.894
[stop_loss] => 3.978
[rr_ratio] => 6
[closed_at] => 2025-06-20 18:45:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.077
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 3.96500000
[low] => 3.88900000
[mfe_pct] => 1.94
[mae_pct] => -0.03
[mfe_mae_ratio] =>
[candles_analyzed] => 24
[start_at] => 2025-06-20T16:47:38-04:00
[end_at] => 2025-06-20T18:47:38-04:00
)
[long_term] => Array
(
[max_gain] => 0.077
[max_drawdown] => 1.0E-6
[rr_ratio] => 100
[high] => 3.96500000
[low] => 3.88900000
[mfe_pct] => 1.94
[mae_pct] => -0.03
[mfe_mae_ratio] =>
[candles_analyzed] => 72
[start_at] => 2025-06-20T16:47:38-04:00
[end_at] => 2025-06-20T22:47:38-04:00
)
[breakout] => Array
(
[high_before] => 3.97400000
[high_after] => 3.96500000
[low_before] => 3.82200000
[low_after] => 3.88900000
[is_new_high] =>
[is_new_low] =>
)
)