Long Trade on PAXG

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Long Trade on PAXG 06 May 2025 at 18:45:13

Take profit at 3418.9497 (0.5 %) and Stop Loss at 3390.5669 (0.33 %)

Long Trade on PAXG

The 06 May 2025 at 18:45:13

With 0.7047 PAXG at 3401.92$ per unit.

Position size of 2397.1688 $

Take profit at 3418.9497 (0.5 %) and Stop Loss at 3390.5669 (0.33 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.31

Prediction Score: -5.9347

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
1	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.09
atr: 7.568750848

Details

score: 2.09
1H
ema9 : 3419.62
ema21 : 3399.79
ema50 : 3359.81
price_ema9_diff : -0.0052064
ema9_ema21_diff : 0.00583112
ema21_ema50_diff : 0.0118985
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.546654
kc_percentage : 0.506399
kc_width_percentage : 0.0211392
15m
ema9 : 3419.62
ema21 : 3422.74
ema50 : 3412.95
price_ema9_diff : -0.00517375
ema9_ema21_diff : -0.000910097
ema21_ema50_diff : 0.00286877
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.370773
kc_percentage : 0.0162697
kc_width_percentage : 0.0127451
5m
ema9 : 3411.11
ema21 : 3421.88
ema50 : 3425.7
price_ema9_diff : -0.00268767
ema9_ema21_diff : -0.00314749
ema21_ema50_diff : -0.00111538
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.333029
kc_percentage : -0.0851869
kc_width_percentage : 0.00977174

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
06 May 2025 18:45:13	06 May 2025 19:00:00	14 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3401.92	3390.5669	3418.9497	1.5	5471.79

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 3401.92
Stop Loss: 3390.5669
Take Profit: 3418.9497

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3390.5669 - 3401.92 = -11.3531
Récompense (distance jusqu'au take profit):

E - TP = 3401.92 - 3418.9497 = -17.0297
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -17.0297 / -11.3531 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2397.1688	100	0.7047	23.97

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 -11.3531

Taille de position = 8 / -11.3531 = -0.7

Taille de position USD = -0.7 x 3401.92 = -2381.34

Donc, tu peux acheter -0.7 avec un stoploss a 3390.5669

Avec un position size USD de -2381.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.7 x -11.3531 = 7.95

Si Stop Loss atteint, tu perdras 7.95$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.7 x -17.0297 = 11.92

Si Take Profit atteint, tu gagneras 11.92$

Résumé

Taille de position -0.7
Taille de position USD -2381.34
Perte potentielle 7.95
Gain potentiel 11.92
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.5 %	12 $

SL % Target	SL $ Target
0.33 %	8 $

PNL	PNL %
-7.75 $	-0.32

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.45620223398001 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3419
            [entry_price] => 3402
            [stop_loss] => 3389.9
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-06 19:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3419
            [entry_price] => 3402
            [stop_loss] => 3388.8
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-06 19:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3419
            [entry_price] => 3402
            [stop_loss] => 3387.7
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-06 19:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3419
            [entry_price] => 3402
            [stop_loss] => 3385.5
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-06 19:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 7.9200000000001
            [max_drawdown] => 35.13
            [rr_ratio] => 0.23
            [high] => 3409.84000000
            [low] => 3366.79000000
            [mfe_pct] => 0.23
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 24
            [start_at] => 2025-05-06T18:45:13-04:00
            [end_at] => 2025-05-06T20:45:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 7.9200000000001
            [max_drawdown] => 37.51
            [rr_ratio] => 0.21
            [high] => 3409.84000000
            [low] => 3364.41000000
            [mfe_pct] => 0.23
            [mae_pct] => 1.1
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 72
            [start_at] => 2025-05-06T18:45:13-04:00
            [end_at] => 2025-05-07T00:45:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3452.09000000
            [high_after] => 3409.84000000
            [low_before] => 3393.00000000
            [low_after] => 3364.41000000
            [is_new_high] => 
            [is_new_low] => 
        )

)