Short Trade on XAUT

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Short Trade on XAUT 22 Apr 2025 at 20:53:36

Take profit at 3375.3137 (0.4 %) and Stop Loss at 3397.9576 (0.27 %)

Short Trade on XAUT

The 22 Apr 2025 at 20:53:36

With 0.8832 XAUT at 3388.9$ per unit.

Position size of 2993.2154 $

Take profit at 3375.3137 (0.4 %) and Stop Loss at 3397.9576 (0.27 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 4.19

Prediction Score: -5.177

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.44
atr: 6.038367134

Details

score: 1.44
1H
ema9 : 3388.03
ema21 : 3415.53
ema50 : 3420.12
price_ema9_diff : 0.00025298
ema9_ema21_diff : -0.00805077
ema21_ema50_diff : -0.00134153
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.413445
kc_percentage : 0.272315
kc_width_percentage : 0.0328339
15m
ema9 : 3368.45
ema21 : 3373.93
ema50 : 3399.95
price_ema9_diff : 0.00606074
ema9_ema21_diff : -0.00162491
ema21_ema50_diff : -0.00765343
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.549047
kc_percentage : 0.833712
kc_width_percentage : 0.0139947
5m
ema9 : 3375.26
ema21 : 3366.51
ema50 : 3368.43
price_ema9_diff : 0.00405072
ema9_ema21_diff : 0.00259742
ema21_ema50_diff : -0.00056897
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.735634
kc_percentage : 1.43728
kc_width_percentage : 0.00694581

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
22 Apr 2025 20:53:36	22 Apr 2025 21:00:00	6 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3388.9	3397.9576	3375.3137	1.5	5263.2

Details

Click the "Sign Up" button in the top right corner and follow the registration process.

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:

Entry 3388.9
Stop Loss: 3397.9576
Take Profit: 3375.3137

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3397.9576 - 3388.9 = 9.0576000000001
Récompense (distance jusqu'au take profit):

E - TP = 3388.9 - 3375.3137 = 13.5863
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 13.5863 / 9.0576000000001 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2993.2154	100	0.8832	29.93

Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

Account Size 100
Risk per trade 8 %

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:

Risk Amount 8
Distance Stop Loss 9.0576000000001

Taille de position = 8 / 9.0576000000001 = 0.88

Taille de position USD = 0.88 x 3388.9 = 2982.23

Donc, tu peux acheter 0.88 avec un stoploss a 3397.9576

Avec un position size USD de 2982.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.88 x 9.0576000000001 = 7.97

Si Stop Loss atteint, tu perdras 7.97$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.88 x 13.5863 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

Taille de position 0.88
Taille de position USD 2982.23
Perte potentielle 7.97
Gain potentiel 11.96
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.4 %	12 $

SL % Target	SL $ Target
0.27 %	8 $

PNL	PNL %
-7.95 $	-0.27

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.32457952198289 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
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    [1.1] => Array
        (
            [take_profit] => 3375
            [entry_price] => 3389
            [stop_loss] => 3398.9
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-22 21:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3375
            [entry_price] => 3389
            [stop_loss] => 3399.8
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-22 21:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3375
            [entry_price] => 3389
            [stop_loss] => 3400.7
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-22 21:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3375
            [entry_price] => 3389
            [stop_loss] => 3402.5
            [rr_ratio] => 1.04
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-22 21:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 9.9000000000001
            [max_drawdown] => 22.6
            [rr_ratio] => 0.44
            [high] => 3411.50000000
            [low] => 3379.00000000
            [mfe_pct] => 0.29
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 24
            [start_at] => 2025-04-22T20:53:36-04:00
            [end_at] => 2025-04-22T22:53:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 69.1
            [max_drawdown] => 22.6
            [rr_ratio] => 3.06
            [high] => 3411.50000000
            [low] => 3319.80000000
            [mfe_pct] => 2.04
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 3.06
            [candles_analyzed] => 72
            [start_at] => 2025-04-22T20:53:36-04:00
            [end_at] => 2025-04-23T02:53:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3399.70000000
            [high_after] => 3411.50000000
            [low_before] => 3334.30000000
            [low_after] => 3319.80000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)