Short Trade on PAXG

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Short Trade on PAXG 22 Apr 2025 at 21:22:07

Take profit at 3378.9496 (0.4 %) and Stop Loss at 3401.4669 (0.27 %)

Short Trade on PAXG

The 22 Apr 2025 at 21:22:07

With 0.8882 PAXG at 3392.46$ per unit.

Position size of 3013.1984 $

Take profit at 3378.9496 (0.4 %) and Stop Loss at 3401.4669 (0.27 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 7.04

Prediction Score: -3.0703

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: 0.13
atr: 6.004622925

Details

score: 1.13
1H
ema9 : 3390.74
ema21 : 3415.01
ema50 : 3420.83
price_ema9_diff : 0.000501321
ema9_ema21_diff : -0.00710575
ema21_ema50_diff : -0.00170172
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.4154
kc_percentage : 0.283618
kc_width_percentage : 0.0290178
15m
ema9 : 3377.78
ema21 : 3378.8
ema50 : 3400.86
price_ema9_diff : 0.00434232
ema9_ema21_diff : -0.000301504
ema21_ema50_diff : -0.00648502
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.552741
kc_percentage : 0.808104
kc_width_percentage : 0.0136372
5m
ema9 : 3386.31
ema21 : 3377.35
ema50 : 3374.54
price_ema9_diff : 0.00182028
ema9_ema21_diff : 0.00265171
ema21_ema50_diff : 0.000832937
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.726894
kc_percentage : 1.12602
kc_width_percentage : 0.00687178

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
22 Apr 2025 21:22:07	22 Apr 2025 21:40:00	17 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3392.46	3401.4669	3378.9496	1.5	5367.53

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 3392.46
Stop Loss: 3401.4669
Take Profit: 3378.9496

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3401.4669 - 3392.46 = 9.0068999999999
Récompense (distance jusqu'au take profit):

E - TP = 3392.46 - 3378.9496 = 13.5104
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 13.5104 / 9.0068999999999 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
3013.1984	100	0.8882	30.13

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 9.0068999999999

Taille de position = 8 / 9.0068999999999 = 0.89

Taille de position USD = 0.89 x 3392.46 = 3019.29

Donc, tu peux acheter 0.89 avec un stoploss a 3401.4669

Avec un position size USD de 3019.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.89 x 9.0068999999999 = 8.02

Si Stop Loss atteint, tu perdras 8.02$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.89 x 13.5104 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

Taille de position 0.89
Taille de position USD 3019.29
Perte potentielle 8.02
Gain potentiel 12.02
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.4 %	12 $

SL % Target	SL $ Target
0.27 %	8 $

PNL	PNL %
-7.99 $	-0.27

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.34935141509434 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3379
            [entry_price] => 3392
            [stop_loss] => 3401.9
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-22 21:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3379
            [entry_price] => 3392
            [stop_loss] => 3402.8
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-22 21:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3379
            [entry_price] => 3392
            [stop_loss] => 3403.7
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-22 21:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3379
            [entry_price] => 3392
            [stop_loss] => 3405.5
            [rr_ratio] => 0.96
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-22 21:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 35.47
            [max_drawdown] => 14.43
            [rr_ratio] => 2.46
            [high] => 3406.89000000
            [low] => 3356.99000000
            [mfe_pct] => 1.05
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 2.46
            [candles_analyzed] => 24
            [start_at] => 2025-04-22T21:22:07-04:00
            [end_at] => 2025-04-22T23:22:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 77.46
            [max_drawdown] => 14.43
            [rr_ratio] => 5.37
            [high] => 3406.89000000
            [low] => 3315.00000000
            [mfe_pct] => 2.28
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 5.37
            [candles_analyzed] => 72
            [start_at] => 2025-04-22T21:22:07-04:00
            [end_at] => 2025-04-23T03:22:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3396.57000000
            [high_after] => 3406.89000000
            [low_before] => 3338.01000000
            [low_after] => 3315.00000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)