Long Trade on BNB

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Long Trade on BNB 18 Apr 2025 at 15:20:27

Take profit at 593.9914 (0.13 %) and Stop Loss at 592.6724 (0.089 %)

Long Trade on BNB

The 18 Apr 2025 at 15:20:27

With 15.163 BNB at 593.2$ per unit.

Position size of 8994.6938 $

Take profit at 593.9914 (0.13 %) and Stop Loss at 592.6724 (0.089 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.56

Prediction Score: -2.5883

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: 0.52
atr: 0.3517333012

Details

score: 2.52
1H
ema9 : 593.059
ema21 : 591.351
ema50 : 588.812
price_ema9_diff : 0.000237871
ema9_ema21_diff : 0.00288855
ema21_ema50_diff : 0.00431134
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.60582
kc_percentage : 0.750979
kc_width_percentage : 0.0116124
15m
ema9 : 594.451
ema21 : 593.883
ema50 : 592.372
price_ema9_diff : -0.00210778
ema9_ema21_diff : 0.000957598
ema21_ema50_diff : 0.00254984
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.476132
kc_percentage : 0.24791
kc_width_percentage : 0.00500317
5m
ema9 : 594.305
ema21 : 594.637
ema50 : 594.238
price_ema9_diff : -0.00185951
ema9_ema21_diff : -0.000557096
ema21_ema50_diff : 0.000671177
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.277952
kc_percentage : -0.520397
kc_width_percentage : 0.00236512

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 15:20:27	18 Apr 2025 15:30:00	9 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
593.2	592.6724	593.9914	1.5	618.63

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 593.2
Stop Loss: 592.6724
Take Profit: 593.9914

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 592.6724 - 593.2 = -0.52760000000001
Récompense (distance jusqu'au take profit):

E - TP = 593.2 - 593.9914 = -0.79139999999995
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.79139999999995 / -0.52760000000001 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
8994.6938	100	15.163	89.95

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 -0.52760000000001

Taille de position = 8 / -0.52760000000001 = -15.16

Taille de position USD = -15.16 x 593.2 = -8992.91

Donc, tu peux acheter -15.16 avec un stoploss a 592.6724

Avec un position size USD de -8992.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -15.16 x -0.52760000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -15.16 x -0.79139999999995 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -15.16
Taille de position USD -8992.91
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.13 %	12 $

SL % Target	SL $ Target
0.089 %	8 $

PNL	PNL %
-7.58 $	-0.08

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.099460552933249 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 594
            [entry_price] => 593.2
            [stop_loss] => 592.65
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 594
            [entry_price] => 593.2
            [stop_loss] => 592.6
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 594
            [entry_price] => 593.2
            [stop_loss] => 592.55
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 594
            [entry_price] => 593.2
            [stop_loss] => 592.45
            [rr_ratio] => 1.07
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 15:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.44999999999993
            [max_drawdown] => 1.5700000000001
            [rr_ratio] => 0.29
            [high] => 593.65000000
            [low] => 591.63000000
            [mfe_pct] => 0.08
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T15:20:27-04:00
            [end_at] => 2025-04-18T17:20:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.1099999999999
            [max_drawdown] => 2.01
            [rr_ratio] => 0.55
            [high] => 594.31000000
            [low] => 591.19000000
            [mfe_pct] => 0.19
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T15:20:27-04:00
            [end_at] => 2025-04-18T21:20:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 595.53000000
            [high_after] => 594.31000000
            [low_before] => 592.71000000
            [low_after] => 591.19000000
            [is_new_high] => 
            [is_new_low] => 
        )

)