Long Trade on BRETT

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Long Trade on BRETT 12 Apr 2025 at 13:21:43

Take profit at 0.03049 (1.53 %) and Stop Loss at 0.02972 (1.03 %)

Long Trade on BRETT

The 12 Apr 2025 at 13:21:43

With 25978.9791 BRETT at 0.03003$ per unit.

Position size of 780.1487 $

Take profit at 0.03049 (1.53 %) and Stop Loss at 0.02972 (1.03 %)

That's a 1.48 RR Trade

Results

Status:

win

Trade Type:

buy

ML Trade Score: 80

ML Pullback Score: 6

Prediction Score:

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.17
atr: 0.0002052941844

Details

score: 2.17
1H
ema9 : 0.0299782
ema21 : 0.0289943
ema50 : 0.0278448
price_ema9_diff : 0.0017857
ema9_ema21_diff : 0.0339332
ema21_ema50_diff : 0.0412825
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.637441
kc_percentage : 0.833471
kc_width_percentage : 0.0966075
15m
ema9 : 0.0305135
ema21 : 0.0303301
ema50 : 0.029596
price_ema9_diff : -0.0159429
ema9_ema21_diff : 0.00604696
ema21_ema50_diff : 0.0248033
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.46916
kc_percentage : 0.292953
kc_width_percentage : 0.0521365
5m
ema9 : 0.0304155
ema21 : 0.0305853
ema50 : 0.0304767
price_ema9_diff : -0.0126059
ema9_ema21_diff : -0.00555003
ema21_ema50_diff : 0.00356073
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.332226
kc_percentage : -0.170085
kc_width_percentage : 0.0273424

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
12 Apr 2025 13:21:43	12 Apr 2025 14:25:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03003	0.02972	0.03049	1.48	0.00707

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 0.03003
Stop Loss: 0.02972
Take Profit: 0.03049

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.02972 - 0.03003 = -0.00031
Récompense (distance jusqu'au take profit):

E - TP = 0.03003 - 0.03049 = -0.00046
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00046 / -0.00031 = 1.4839

📌 Position Size

Amount	Margin	Quantity	Leverage
780.1487	100	25978.9791	7.80

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 -0.00031

Taille de position = 8 / -0.00031 = -25806.45

Taille de position USD = -25806.45 x 0.03003 = -774.97

Donc, tu peux acheter -25806.45 avec un stoploss a 0.02972

Avec un position size USD de -774.97$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -25806.45 x -0.00031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -25806.45 x -0.00046 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

Taille de position -25806.45
Taille de position USD -774.97
Perte potentielle 8
Gain potentiel 11.87
Risk-Reward Ratio 1.4839

📌 Peformances

TP % Target	TP $ Target
1.53 %	11.95 $

SL % Target	SL $ Target
1.03 %	8.05 $

PNL	PNL %
11.95 $	1.53

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

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.03065
            [stop_loss] => 0.02972
            [rr_ratio] => 2
            [closed_at] => 2025-04-12 14:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.030805
            [stop_loss] => 0.02972
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-12 14:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.03096
            [stop_loss] => 0.02972
            [rr_ratio] => 3
            [closed_at] => 2025-04-12 15:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.031115
            [stop_loss] => 0.02972
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-12 16:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.03127
            [stop_loss] => 0.02972
            [rr_ratio] => 4
            [closed_at] => 2025-04-12 16:55:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00098
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.03101000
            [low] => 0.03008000
            [mfe_pct] => 3.26
            [mae_pct] => -0.17
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-04-12T13:21:43-04:00
            [end_at] => 2025-04-12T15:21:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00129
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.03132000
            [low] => 0.03008000
            [mfe_pct] => 4.3
            [mae_pct] => -0.17
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-04-12T13:21:43-04:00
            [end_at] => 2025-04-12T19:21:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03149000
            [high_after] => 0.03132000
            [low_before] => 0.02960000
            [low_after] => 0.03008000
            [is_new_high] => 
            [is_new_low] => 
        )

)