Long Trade on BNB

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Long Trade on BNB 11 Apr 2025 at 19:50:25

Take profit at 587.011 (0.21 %) and Stop Loss at 584.976 (0.14 %)

Long Trade on BNB

The 11 Apr 2025 at 19:50:25

With 9.8282 BNB at 585.79$ per unit.

Position size of 5757.2887 $

Take profit at 587.011 (0.21 %) and Stop Loss at 584.976 (0.14 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 4.92

Prediction Score:

Prediction 1	Probability
Strong 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: 0.02
atr: 0.5426535849

Details

score: 2.02
1H
ema9 : 586.695
ema21 : 584.304
ema50 : 579.027
price_ema9_diff : -0.00154972
ema9_ema21_diff : 0.0040922
ema21_ema50_diff : 0.00911398
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.570196
kc_percentage : 0.614975
kc_width_percentage : 0.0191328
15m
ema9 : 586.93
ema21 : 587.218
ema50 : 585.951
price_ema9_diff : -0.00194251
ema9_ema21_diff : -0.000489882
ema21_ema50_diff : 0.00216226
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.415588
kc_percentage : 0.160733
kc_width_percentage : 0.00725785
5m
ema9 : 586.267
ema21 : 586.908
ema50 : 587.355
price_ema9_diff : -0.000813678
ema9_ema21_diff : -0.00109232
ema21_ema50_diff : -0.000760113
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.35875
kc_percentage : -0.0180617
kc_width_percentage : 0.00356632

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
11 Apr 2025 19:50:25	11 Apr 2025 20:00:00	9 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
585.79	584.976	587.011	1.5	627.24

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 585.79
Stop Loss: 584.976
Take Profit: 587.011

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 584.976 - 585.79 = -0.81399999999996
Récompense (distance jusqu'au take profit):

E - TP = 585.79 - 587.011 = -1.221
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -1.221 / -0.81399999999996 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
5757.2887	100	9.8282	57.57

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 -0.81399999999996

Taille de position = 8 / -0.81399999999996 = -9.83

Taille de position USD = -9.83 x 585.79 = -5758.32

Donc, tu peux acheter -9.83 avec un stoploss a 584.976

Avec un position size USD de -5758.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -9.83 x -0.81399999999996 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -9.83 x -1.221 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -9.83
Taille de position USD -5758.32
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.21 %	12 $

SL % Target	SL $ Target
0.14 %	8 $

PNL	PNL %
-7.86 $	-0.14

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.13656538067599 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 587
            [entry_price] => 585.8
            [stop_loss] => 584.92
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-11 20:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 587
            [entry_price] => 585.8
            [stop_loss] => 584.84
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-11 20:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 587
            [entry_price] => 585.8
            [stop_loss] => 584.76
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-11 20:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 587
            [entry_price] => 585.8
            [stop_loss] => 584.6
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-11 20:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.8000000000001
            [max_drawdown] => 1.53
            [rr_ratio] => 2.48
            [high] => 589.59000000
            [low] => 584.26000000
            [mfe_pct] => 0.65
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 2.48
            [candles_analyzed] => 24
            [start_at] => 2025-04-11T19:50:26-04:00
            [end_at] => 2025-04-11T21:50:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.8000000000001
            [max_drawdown] => 2.4399999999999
            [rr_ratio] => 1.56
            [high] => 589.59000000
            [low] => 583.35000000
            [mfe_pct] => 0.65
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 1.56
            [candles_analyzed] => 72
            [start_at] => 2025-04-11T19:50:26-04:00
            [end_at] => 2025-04-12T01:50:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 589.17000000
            [high_after] => 589.59000000
            [low_before] => 585.49000000
            [low_after] => 583.35000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)