Short Trade on PAXG

Previous Trade Next Trade

Short Trade on PAXG 23 Apr 2025 at 18:52:19

Take profit at 3324.3969 (0.28 %) and Stop Loss at 3340.1354 (0.19 %)

Short Trade on PAXG

The 23 Apr 2025 at 18:52:19

With 1.2708 PAXG at 3333.84$ per unit.

Position size of 4236.5462 $

Take profit at 3324.3969 (0.28 %) and Stop Loss at 3340.1354 (0.19 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.21

Prediction Score: -1.4572

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: 0.09
atr: 4.196928175

Details

score: 1.09
1H
ema9 : 3318
ema21 : 3334.99
ema50 : 3367.84
price_ema9_diff : 0.00474788
ema9_ema21_diff : -0.00509487
ema21_ema50_diff : -0.00975287
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.467721
kc_percentage : 0.505839
kc_width_percentage : 0.02501
15m
ema9 : 3322.43
ema21 : 3317.22
ema50 : 3321.94
price_ema9_diff : 0.00343869
ema9_ema21_diff : 0.0015688
ema21_ema50_diff : -0.00142072
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.652039
kc_percentage : 1.03875
kc_width_percentage : 0.00917536
5m
ema9 : 3330
ema21 : 3323.06
ema50 : 3316.71
price_ema9_diff : 0.00115419
ema9_ema21_diff : 0.00208809
ema21_ema50_diff : 0.00191443
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.694746
kc_percentage : 1.09004
kc_width_percentage : 0.0052664

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
23 Apr 2025 18:52:19	23 Apr 2025 20:00:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3333.84	3340.1354	3324.3969	1.5	5188.95

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 3333.84
Stop Loss: 3340.1354
Take Profit: 3324.3969

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3340.1354 - 3333.84 = 6.2954
Récompense (distance jusqu'au take profit):

E - TP = 3333.84 - 3324.3969 = 9.4431
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 9.4431 / 6.2954 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
4236.5462	100	1.2708	42.37

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 6.2954

Taille de position = 8 / 6.2954 = 1.27

Taille de position USD = 1.27 x 3333.84 = 4233.98

Donc, tu peux acheter 1.27 avec un stoploss a 3340.1354

Avec un position size USD de 4233.98$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.27 x 6.2954 = 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 9.4431 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position 1.27
Taille de position USD 4233.98
Perte potentielle 8
Gain potentiel 11.99
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
-0.21655668866226 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3324
            [entry_price] => 3334
            [stop_loss] => 3340.6
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-23 20:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3324
            [entry_price] => 3334
            [stop_loss] => 3341.2
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-23 20:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3324
            [entry_price] => 3334
            [stop_loss] => 3341.8
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-23 20:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3324
            [entry_price] => 3334
            [stop_loss] => 3343
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-23 20:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.6800000000003
            [max_drawdown] => 24.86
            [rr_ratio] => 0.19
            [high] => 3358.70000000
            [low] => 3329.16000000
            [mfe_pct] => 0.14
            [mae_pct] => 0.75
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-04-23T18:52:19-04:00
            [end_at] => 2025-04-23T20:52:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.6800000000003
            [max_drawdown] => 54.15
            [rr_ratio] => 0.09
            [high] => 3387.99000000
            [low] => 3329.16000000
            [mfe_pct] => 0.14
            [mae_pct] => 1.62
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 72
            [start_at] => 2025-04-23T18:52:19-04:00
            [end_at] => 2025-04-24T00:52:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3337.60000000
            [high_after] => 3387.99000000
            [low_before] => 3302.99000000
            [low_after] => 3329.16000000
            [is_new_high] => 
            [is_new_low] => 
        )

)