Long Trade on DOG

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Long Trade on DOG 01 May 2025 at 09:45:49

Take profit at 0.002984 (1.74 %) and Stop Loss at 0.002899 (1.16 %)

Long Trade on DOG

The 01 May 2025 at 09:45:49

With 233642.5138 DOG at 0.002933$ per unit.

Position size of 685.2735 $

Take profit at 0.002984 (1.74 %) and Stop Loss at 0.002899 (1.16 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -60

ML Pullback Score: 3.75

Prediction Score: -0.3497

Prediction 1	Probability
	n/a

Prediction 2	Probability
	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: 0.01
atr: 2.282689587E-5

Details

score: 2.01
1H
ema9 : 0.00292745
ema21 : 0.00286283
ema50 : 0.00279377
price_ema9_diff : 0.00193657
ema9_ema21_diff : 0.0225712
ema21_ema50_diff : 0.0247219
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.589084
kc_percentage : 0.695483
kc_width_percentage : 0.115643
15m
ema9 : 0.0029728
ema21 : 0.00295598
ema50 : 0.00290337
price_ema9_diff : -0.0134643
ema9_ema21_diff : 0.00568986
ema21_ema50_diff : 0.0181204
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.480525
kc_percentage : 0.351971
kc_width_percentage : 0.0573067
5m
ema9 : 0.00296902
ema21 : 0.00298013
ema50 : 0.00296746
price_ema9_diff : -0.0120881
ema9_ema21_diff : -0.00372739
ema21_ema50_diff : 0.00427022
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.370675
kc_percentage : -0.0063871
kc_width_percentage : 0.0316706

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
01 May 2025 09:45:49	01 May 2025 09:55:00	9 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.002933	0.002899	0.002984	1.5	0.000969

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 0.002933
Stop Loss: 0.002899
Take Profit: 0.002984

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.002899 - 0.002933 = -3.4E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.002933 - 0.002984 = -5.1E-5
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -5.1E-5 / -3.4E-5 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
685.2735	100	233642.5138	6.85

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 -3.4E-5

Taille de position = 8 / -3.4E-5 = -235294.12

Taille de position USD = -235294.12 x 0.002933 = -690.12

Donc, tu peux acheter -235294.12 avec un stoploss a 0.002899

Avec un position size USD de -690.12$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -235294.12 x -3.4E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -235294.12 x -5.1E-5 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -235294.12
Taille de position USD -690.12
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.74 %	11.92 $

SL % Target	SL $ Target
1.16 %	7.94 $

PNL	PNL %
-7.94 $	-1.16

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.1592226389362 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.002984
            [entry_price] => 0.002933
            [stop_loss] => 0.0028956
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-01 10:15:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.002984
            [entry_price] => 0.002933
            [stop_loss] => 0.0028922
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-01 10:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.002984
            [entry_price] => 0.002933
            [stop_loss] => 0.0028888
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-01 10:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.002984
            [entry_price] => 0.002933
            [stop_loss] => 0.002882
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-01 10:15:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 9.1E-5
            [max_drawdown] => 3.4E-5
            [rr_ratio] => 2.68
            [high] => 0.00302400
            [low] => 0.00289900
            [mfe_pct] => 3.1
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 2.68
            [candles_analyzed] => 24
            [start_at] => 2025-05-01T09:45:49-04:00
            [end_at] => 2025-05-01T11:45:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 9.1E-5
            [max_drawdown] => 3.4E-5
            [rr_ratio] => 2.68
            [high] => 0.00302400
            [low] => 0.00289900
            [mfe_pct] => 3.1
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 2.68
            [candles_analyzed] => 72
            [start_at] => 2025-05-01T09:45:49-04:00
            [end_at] => 2025-05-01T15:45:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00303700
            [high_after] => 0.00302400
            [low_before] => 0.00290500
            [low_after] => 0.00289900
            [is_new_high] => 
            [is_new_low] => 
        )

)