Long Trade on BNB

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Long Trade on BNB 27 Mar 2025 at 08:14:13

Take profit at 631.9993 (0.42 %) and Stop Loss at 627.5838 (0.28 %)

Long Trade on BNB

The 27 Mar 2025 at 08:14:13

With 4.5295 BNB at 629.35$ per unit.

Position size of 2850.6172 $

Take profit at 631.9993 (0.42 %) and Stop Loss at 627.5838 (0.28 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 3.53

Prediction Score:

Prediction 1	Probability
	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: 0.11
atr: 1.1774760060302

Details

score: 2.11

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Mar 2025 08:14:13	27 Mar 2025 08:15:00	47 seconds

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
629.35	627.5838	631.9993	1.5	634.84

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 629.35
Stop Loss: 627.5838
Take Profit: 631.9993

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 627.5838 - 629.35 = -1.7662
Récompense (distance jusqu'au take profit):

E - TP = 629.35 - 631.9993 = -2.6492999999999
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -2.6492999999999 / -1.7662 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2850.6172	2850.6172	4.5295	28.51

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 -1.7662

Taille de position = 8 / -1.7662 = -4.53

Taille de position USD = -4.53 x 629.35 = -2850.96

Donc, tu peux acheter -4.53 avec un stoploss a 627.5838

Avec un position size USD de -2850.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4.53 x -1.7662 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4.53 x -2.6492999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -4.53
Taille de position USD -2850.96
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.42 %	12 $

SL % Target	SL $ Target
0.28 %	8 $

PNL	PNL %
-8 $	-0.28

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

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 632
            [entry_price] => 629.3
            [stop_loss] => 627.43
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-27 08:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 632
            [entry_price] => 629.3
            [stop_loss] => 627.26
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-27 08:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 632
            [entry_price] => 629.3
            [stop_loss] => 627.09
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-27 08:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 632
            [entry_price] => 629.3
            [stop_loss] => 626.75
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-27 08:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 6.14
            [max_drawdown] => 3.1800000000001
            [rr_ratio] => 1.93
            [high] => 635.49000000
            [low] => 626.17000000
            [mfe_pct] => 0.98
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 1.93
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T08:14:13-04:00
            [end_at] => 2025-03-27T10:14:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 10.51
            [max_drawdown] => 3.1800000000001
            [rr_ratio] => 3.31
            [high] => 639.86000000
            [low] => 626.17000000
            [mfe_pct] => 1.67
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 3.31
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T08:14:13-04:00
            [end_at] => 2025-03-27T14:14:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 641.64000000
            [high_after] => 639.86000000
            [low_before] => 628.71000000
            [low_after] => 626.17000000
            [is_new_high] => 
            [is_new_low] => 
        )

)