Long Trade on BERA

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Long Trade on BERA 10 Apr 2025 at 18:02:34

Take profit at 3.9781 (1.28 %) and Stop Loss at 3.8946 (0.85 %)

Long Trade on BERA

The 10 Apr 2025 at 18:02:34

With 239.6468 BERA at 3.928$ per unit.

Position size of 941.3327 $

Take profit at 3.9781 (1.28 %) and Stop Loss at 3.8946 (0.85 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 2.88

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: 0.01
atr: 0.02225497276

Details

score: 2.01
1H
ema9 : 3.91552
ema21 : 3.89667
ema50 : 3.89557
price_ema9_diff : 0.00320111
ema9_ema21_diff : 0.00483821
ema21_ema50_diff : 0.000281481
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.522894
kc_percentage : 0.568391
kc_width_percentage : 0.110712
15m
ema9 : 3.96019
ema21 : 3.93815
ema50 : 3.91671
price_ema9_diff : -0.0081747
ema9_ema21_diff : 0.00559703
ema21_ema50_diff : 0.00547317
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.499185
kc_percentage : 0.428848
kc_width_percentage : 0.0431992
5m
ema9 : 3.9572
ema21 : 3.97041
ema50 : 3.95002
price_ema9_diff : -0.00735446
ema9_ema21_diff : -0.00332726
ema21_ema50_diff : 0.00516013
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.381419
kc_percentage : -0.00565713
kc_width_percentage : 0.0212893

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 18:02:34	10 Apr 2025 18:45:00	42 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3.928	3.8946	3.9781	1.5	0.6162

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 3.928
Stop Loss: 3.8946
Take Profit: 3.9781

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3.8946 - 3.928 = -0.0334
Récompense (distance jusqu'au take profit):

E - TP = 3.928 - 3.9781 = -0.0501
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0501 / -0.0334 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
941.3327	100	239.6468	9.41

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 -0.0334

Taille de position = 8 / -0.0334 = -239.52

Taille de position USD = -239.52 x 3.928 = -940.83

Donc, tu peux acheter -239.52 avec un stoploss a 3.8946

Avec un position size USD de -940.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -239.52 x -0.0334 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -239.52 x -0.0501 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -239.52
Taille de position USD -940.83
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.28 %	12.01 $

SL % Target	SL $ Target
0.85 %	8 $

PNL	PNL %
-7.91 $	-0.84

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.96741344195519 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.978
            [entry_price] => 3.928
            [stop_loss] => 3.8917
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 18:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.978
            [entry_price] => 3.928
            [stop_loss] => 3.8884
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.978
            [entry_price] => 3.928
            [stop_loss] => 3.8851
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.978
            [entry_price] => 3.928
            [stop_loss] => 3.8785
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 18:55:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.018
            [max_drawdown] => 0.1
            [rr_ratio] => 0.18
            [high] => 3.94600000
            [low] => 3.82800000
            [mfe_pct] => 0.46
            [mae_pct] => 2.55
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T18:02:34-04:00
            [end_at] => 2025-04-10T20:02:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.131
            [max_drawdown] => 0.107
            [rr_ratio] => 1.22
            [high] => 4.05900000
            [low] => 3.82100000
            [mfe_pct] => 3.34
            [mae_pct] => 2.72
            [mfe_mae_ratio] => 1.22
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T18:02:34-04:00
            [end_at] => 2025-04-11T00:02:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.05400000
            [high_after] => 4.05900000
            [low_before] => 3.89200000
            [low_after] => 3.82100000
            [is_new_high] => 1
            [is_new_low] => 
        )

)