Short Trade on PAXG

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Short Trade on PAXG 23 Apr 2025 at 18:42:17

Take profit at 3325.4583 (0.28 %) and Stop Loss at 3341.2111 (0.19 %)

Short Trade on PAXG

The 23 Apr 2025 at 18:42:17

With 1.2696 PAXG at 3334.91$ per unit.

Position size of 4234.0534 $

Take profit at 3325.4583 (0.28 %) and Stop Loss at 3341.2111 (0.19 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.26

Prediction Score: -3.3526

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: 0.26
atr: 4.200746886

Details

score: 1.26
1H
ema9 : 3318.21
ema21 : 3335.09
ema50 : 3367.88
price_ema9_diff : 0.00500441
ema9_ema21_diff : -0.00505972
ema21_ema50_diff : -0.00973633
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.47093
kc_percentage : 0.51745
kc_width_percentage : 0.025002
15m
ema9 : 3319.45
ema21 : 3315.5
ema50 : 3321.43
price_ema9_diff : 0.00466253
ema9_ema21_diff : 0.00118912
ema21_ema50_diff : -0.00178504
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.668046
kc_percentage : 1.12477
kc_width_percentage : 0.00928533
5m
ema9 : 3328.14
ema21 : 3320.91
ema50 : 3315.26
price_ema9_diff : 0.0020357
ema9_ema21_diff : 0.002178
ema21_ema50_diff : 0.00170465
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.736807
kc_percentage : 1.26459
kc_width_percentage : 0.00533579

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
23 Apr 2025 18:42:17	23 Apr 2025 20:00:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3334.91	3341.2111	3325.4583	1.5	5189.63

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 3334.91
Stop Loss: 3341.2111
Take Profit: 3325.4583

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3341.2111 - 3334.91 = 6.3011000000001
Récompense (distance jusqu'au take profit):

E - TP = 3334.91 - 3325.4583 = 9.4517000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 9.4517000000001 / 6.3011000000001 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
4234.0534	100	1.2696	42.34

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 6.3011000000001

Taille de position = 8 / 6.3011000000001 = 1.27

Taille de position USD = 1.27 x 3334.91 = 4235.34

Donc, tu peux acheter 1.27 avec un stoploss a 3341.2111

Avec un position size USD de 4235.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.27 x 6.3011000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.27 x 9.4517000000001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 1.27
Taille de position USD 4235.34
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.28 %	12 $

SL % Target	SL $ Target
0.19 %	8 $

PNL	PNL %
-7.62 $	-0.18

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.18650674662668 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3325
            [entry_price] => 3335
            [stop_loss] => 3341.6
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-23 20:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3325
            [entry_price] => 3335
            [stop_loss] => 3342.2
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-23 20:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3325
            [entry_price] => 3335
            [stop_loss] => 3342.8
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-23 20:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3325
            [entry_price] => 3335
            [stop_loss] => 3344
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-23 20:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 5.75
            [max_drawdown] => 23.79
            [rr_ratio] => 0.24
            [high] => 3358.70000000
            [low] => 3329.16000000
            [mfe_pct] => 0.17
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 24
            [start_at] => 2025-04-23T18:42:17-04:00
            [end_at] => 2025-04-23T20:42:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.75
            [max_drawdown] => 53.08
            [rr_ratio] => 0.11
            [high] => 3387.99000000
            [low] => 3329.16000000
            [mfe_pct] => 0.17
            [mae_pct] => 1.59
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 72
            [start_at] => 2025-04-23T18:42:17-04:00
            [end_at] => 2025-04-24T00:42:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3337.60000000
            [high_after] => 3387.99000000
            [low_before] => 3301.86000000
            [low_after] => 3329.16000000
            [is_new_high] => 
            [is_new_low] => 
        )

)