Long Trade on EPT

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Long Trade on EPT 05 May 2025 at 13:15:29

Take profit at 0.01064 (1.82 %) and Stop Loss at 0.01033 (1.15 %)

Long Trade on EPT

The 05 May 2025 at 13:15:29

With 64339.3803 EPT at 0.01045$ per unit.

Position size of 672.3465 $

Take profit at 0.01064 (1.82 %) and Stop Loss at 0.01033 (1.15 %)

That's a 1.58 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.22

Prediction Score: -2.7011

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
0	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: 0.16
atr: 8.289376287E-5

Details

score: 2.16
1H
ema9 : 0.0105252
ema21 : 0.0104179
ema50 : 0.0104071
price_ema9_diff : -0.00722126
ema9_ema21_diff : 0.010298
ema21_ema50_diff : 0.00104131
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.512265
kc_percentage : 0.523542
kc_width_percentage : 0.114121
15m
ema9 : 0.010629
ema21 : 0.010607
ema50 : 0.0104697
price_ema9_diff : -0.0168759
ema9_ema21_diff : 0.00206671
ema21_ema50_diff : 0.0131216
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.441171
kc_percentage : 0.250252
kc_width_percentage : 0.0620981
5m
ema9 : 0.0105841
ema21 : 0.0106621
ema50 : 0.0106473
price_ema9_diff : -0.0125827
ema9_ema21_diff : -0.00731117
ema21_ema50_diff : 0.0013831
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.310619
kc_percentage : -0.159671
kc_width_percentage : 0.0303723

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
05 May 2025 13:15:29	05 May 2025 14:25:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01045	0.01033	0.01064	1.58	0.002115

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 0.01045
Stop Loss: 0.01033
Take Profit: 0.01064

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01033 - 0.01045 = -0.00012
Récompense (distance jusqu'au take profit):

E - TP = 0.01045 - 0.01064 = -0.00019
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00019 / -0.00012 = 1.5833

📌 Position Size

Amount	Margin	Quantity	Leverage
672.3465	100	64339.3803	6.72

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 -0.00012

Taille de position = 8 / -0.00012 = -66666.67

Taille de position USD = -66666.67 x 0.01045 = -696.67

Donc, tu peux acheter -66666.67 avec un stoploss a 0.01033

Avec un position size USD de -696.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -66666.67 x -0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -66666.67 x -0.00019 = 12.67

Si Take Profit atteint, tu gagneras 12.67$

Résumé

Taille de position -66666.67
Taille de position USD -696.67
Perte potentielle 8
Gain potentiel 12.67
Risk-Reward Ratio 1.5833

📌 Peformances

TP % Target	TP $ Target
1.82 %	12.22 $

SL % Target	SL $ Target
1.15 %	7.72 $

PNL	PNL %
-7.72 $	-1.15

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.244019138756 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01064
            [entry_price] => 0.01045
            [stop_loss] => 0.010318
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-05 14:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01064
            [entry_price] => 0.01045
            [stop_loss] => 0.010306
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-05 14:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01064
            [entry_price] => 0.01045
            [stop_loss] => 0.010294
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-05 14:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01064
            [entry_price] => 0.01045
            [stop_loss] => 0.01027
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-05 14:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 6.0000000000001E-5
            [max_drawdown] => 0.00032
            [rr_ratio] => 0.19
            [high] => 0.01051000
            [low] => 0.01013000
            [mfe_pct] => 0.57
            [mae_pct] => 3.06
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-05-05T13:15:29-04:00
            [end_at] => 2025-05-05T15:15:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 6.0000000000001E-5
            [max_drawdown] => 0.00055
            [rr_ratio] => 0.11
            [high] => 0.01051000
            [low] => 0.00990000
            [mfe_pct] => 0.57
            [mae_pct] => 5.26
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 72
            [start_at] => 2025-05-05T13:15:29-04:00
            [end_at] => 2025-05-05T19:15:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01094000
            [high_after] => 0.01051000
            [low_before] => 0.01037000
            [low_after] => 0.00990000
            [is_new_high] => 
            [is_new_low] => 
        )

)