Short Trade on PAXG

Previous Trade Next Trade

Short Trade on PAXG 23 Apr 2025 at 18:12:17

Take profit at 3318.1841 (0.26 %) and Stop Loss at 3332.5272 (0.17 %)

Short Trade on PAXG

The 23 Apr 2025 at 18:12:17

With 1.3944 PAXG at 3326.79$ per unit.

Position size of 4638.8768 $

Take profit at 3318.1841 (0.26 %) and Stop Loss at 3332.5272 (0.17 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.14

Prediction Score: -1.5556

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: 0.36
atr: 3.824822455

Details

score: 1.36
1H
ema9 : 3316.59
ema21 : 3334.35
ema50 : 3367.56
price_ema9_diff : 0.00305731
ema9_ema21_diff : -0.0053265
ema21_ema50_diff : -0.00986189
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.445567
kc_percentage : 0.426361
kc_width_percentage : 0.0240495
15m
ema9 : 3312.2
ema21 : 3312.01
ema50 : 3320.55
price_ema9_diff : 0.0044028
ema9_ema21_diff : 5.77573E-5
ema21_ema50_diff : -0.00257087
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.618558
kc_percentage : 1.00769
kc_width_percentage : 0.00882271
5m
ema9 : 3316.47
ema21 : 3312.67
ema50 : 3310.92
price_ema9_diff : 0.00311294
ema9_ema21_diff : 0.00114691
ema21_ema50_diff : 0.000528646
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.726386
kc_percentage : 1.36267
kc_width_percentage : 0.00486998

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
23 Apr 2025 18:12:17	23 Apr 2025 18:35:00	22 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3326.79	3332.5272	3318.1841	1.5	5181.97

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 3326.79
Stop Loss: 3332.5272
Take Profit: 3318.1841

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3332.5272 - 3326.79 = 5.7372
Récompense (distance jusqu'au take profit):

E - TP = 3326.79 - 3318.1841 = 8.6059
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 8.6059 / 5.7372 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
4638.8768	100	1.3944	46.39

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 5.7372

Taille de position = 8 / 5.7372 = 1.39

Taille de position USD = 1.39 x 3326.79 = 4624.24

Donc, tu peux acheter 1.39 avec un stoploss a 3332.5272

Avec un position size USD de 4624.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.39 x 5.7372 = 7.97

Si Stop Loss atteint, tu perdras 7.97$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.39 x 8.6059 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

Taille de position 1.39
Taille de position USD 4624.24
Perte potentielle 7.97
Gain potentiel 11.96
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.26 %	12 $

SL % Target	SL $ Target
0.17 %	8 $

PNL	PNL %
-8.37 $	-0.18

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.26179741508867 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3318
            [entry_price] => 3327
            [stop_loss] => 3333.6
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-23 18:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3318
            [entry_price] => 3327
            [stop_loss] => 3334.2
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-23 18:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3318
            [entry_price] => 3327
            [stop_loss] => 3334.8
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-23 18:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3318
            [entry_price] => 3327
            [stop_loss] => 3336
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-23 18:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.5299999999997
            [max_drawdown] => 16.74
            [rr_ratio] => 0.15
            [high] => 3343.53000000
            [low] => 3324.26000000
            [mfe_pct] => 0.08
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 24
            [start_at] => 2025-04-23T18:12:17-04:00
            [end_at] => 2025-04-23T20:12:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.5299999999997
            [max_drawdown] => 61.2
            [rr_ratio] => 0.04
            [high] => 3387.99000000
            [low] => 3324.26000000
            [mfe_pct] => 0.08
            [mae_pct] => 1.84
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 72
            [start_at] => 2025-04-23T18:12:17-04:00
            [end_at] => 2025-04-24T00:12:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3329.17000000
            [high_after] => 3387.99000000
            [low_before] => 3301.54000000
            [low_after] => 3324.26000000
            [is_new_high] => 
            [is_new_low] => 
        )

)