Long Trade on BNB

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Long Trade on BNB 18 Apr 2025 at 15:30:27

Take profit at 593.7063 (0.14 %) and Stop Loss at 592.3458 (0.092 %)

Long Trade on BNB

The 18 Apr 2025 at 15:30:27

With 14.7008 BNB at 592.89$ per unit.

Position size of 8715.9803 $

Take profit at 593.7063 (0.14 %) and Stop Loss at 592.3458 (0.092 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.3

Prediction Score: -2.0292

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: 0.48
atr: 0.3627910896

Details

score: 2.48
1H
ema9 : 592.997
ema21 : 591.323
ema50 : 588.8
price_ema9_diff : -0.000181515
ema9_ema21_diff : 0.0028315
ema21_ema50_diff : 0.00428421
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.591511
kc_percentage : 0.704446
kc_width_percentage : 0.0119491
15m
ema9 : 594.086
ema21 : 593.765
ema50 : 592.38
price_ema9_diff : -0.00201531
ema9_ema21_diff : 0.000540782
ema21_ema50_diff : 0.0023381
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.45522
kc_percentage : 0.175586
kc_width_percentage : 0.00482972
5m
ema9 : 593.787
ema21 : 594.329
ema50 : 594.138
price_ema9_diff : -0.00151052
ema9_ema21_diff : -0.000910976
ema21_ema50_diff : 0.000320904
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.256704
kc_percentage : -0.476409
kc_width_percentage : 0.00245436

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 15:30:27	18 Apr 2025 15:35:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
592.89	592.3458	593.7063	1.5	625.97

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 592.89
Stop Loss: 592.3458
Take Profit: 593.7063

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 592.3458 - 592.89 = -0.54419999999993
Récompense (distance jusqu'au take profit):

E - TP = 592.89 - 593.7063 = -0.81630000000007
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.81630000000007 / -0.54419999999993 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
8715.9803	100	14.7008	87.16

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 -0.54419999999993

Taille de position = 8 / -0.54419999999993 = -14.7

Taille de position USD = -14.7 x 592.89 = -8715.48

Donc, tu peux acheter -14.7 avec un stoploss a 592.3458

Avec un position size USD de -8715.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -14.7 x -0.54419999999993 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -14.7 x -0.81630000000007 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -14.7
Taille de position USD -8715.48
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.14 %	12 $

SL % Target	SL $ Target
0.092 %	8 $

PNL	PNL %
-8.82 $	-0.10

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.14336313037612 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 593.7
            [entry_price] => 592.9
            [stop_loss] => 592.24
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 15:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 593.7
            [entry_price] => 592.9
            [stop_loss] => 592.18
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 15:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 593.7
            [entry_price] => 592.9
            [stop_loss] => 592.12
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 15:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 593.7
            [entry_price] => 592.9
            [stop_loss] => 592
            [rr_ratio] => 0.89
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 15:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.25
            [max_drawdown] => 1.26
            [rr_ratio] => 0.99
            [high] => 594.14000000
            [low] => 591.63000000
            [mfe_pct] => 0.21
            [mae_pct] => 0.21
            [mfe_mae_ratio] => 0.99
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T15:30:27-04:00
            [end_at] => 2025-04-18T17:30:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.42
            [max_drawdown] => 1.6999999999999
            [rr_ratio] => 0.84
            [high] => 594.31000000
            [low] => 591.19000000
            [mfe_pct] => 0.24
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 0.84
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T15:30:27-04:00
            [end_at] => 2025-04-18T21:30:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 595.53000000
            [high_after] => 594.31000000
            [low_before] => 592.07000000
            [low_after] => 591.19000000
            [is_new_high] => 
            [is_new_low] => 
        )

)