Short Trade on BGB

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Short Trade on BGB 24 Apr 2025 at 12:22:12

Take profit at 4.4268 (0.41 %) and Stop Loss at 4.4571 (0.27 %)

Short Trade on BGB

The 24 Apr 2025 at 12:22:12

With 660.2178 BGB at 4.445$ per unit.

Position size of 2934.668 $

Take profit at 4.4268 (0.41 %) and Stop Loss at 4.4571 (0.27 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -60

ML Pullback Score: 4.45

Prediction Score: 8.8123

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.12
atr: 0.008078142632

Details

score: 1.12
1H
ema9 : 4.43189
ema21 : 4.4585
ema50 : 4.48454
price_ema9_diff : 0.00293942
ema9_ema21_diff : -0.00596766
ema21_ema50_diff : -0.00580693
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.443311
kc_percentage : 0.406673
kc_width_percentage : 0.0278324
15m
ema9 : 4.42585
ema21 : 4.42381
ema50 : 4.44054
price_ema9_diff : 0.00432668
ema9_ema21_diff : 0.000461714
ema21_ema50_diff : -0.00376733
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.586981
kc_percentage : 0.858967
kc_width_percentage : 0.0134866
5m
ema9 : 4.43166
ema21 : 4.42542
ema50 : 4.42121
price_ema9_diff : 0.00301316
ema9_ema21_diff : 0.00140934
ema21_ema50_diff : 0.00095239
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.719172
kc_percentage : 1.11799
kc_width_percentage : 0.00698503

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
24 Apr 2025 12:22:12	24 Apr 2025 13:05:00	42 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.445	4.4571	4.4268	1.5	2.1828

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 4.445
Stop Loss: 4.4571
Take Profit: 4.4268

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.4571 - 4.445 = 0.012099999999999
Récompense (distance jusqu'au take profit):

E - TP = 4.445 - 4.4268 = 0.0182
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0182 / 0.012099999999999 = 1.5041

📌 Position Size

Amount	Margin	Quantity	Leverage
2934.668	100	660.2178	29.35

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 0.012099999999999

Taille de position = 8 / 0.012099999999999 = 661.16

Taille de position USD = 661.16 x 4.445 = 2938.86

Donc, tu peux acheter 661.16 avec un stoploss a 4.4571

Avec un position size USD de 2938.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 661.16 x 0.012099999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 661.16 x 0.0182 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

Taille de position 661.16
Taille de position USD 2938.86
Perte potentielle 8
Gain potentiel 12.03
Risk-Reward Ratio 1.5041

📌 Peformances

TP % Target	TP $ Target
0.41 %	12.02 $

SL % Target	SL $ Target
0.27 %	7.99 $

PNL	PNL %
-7.92 $	-0.27

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.26996625421821 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.427
            [entry_price] => 4.445
            [stop_loss] => 4.4582
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-24 13:20:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 4.427
            [entry_price] => 4.445
            [stop_loss] => 4.4594
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-24 13:20:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 4.427
            [entry_price] => 4.445
            [stop_loss] => 4.4606
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-24 13:20:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 4.427
            [entry_price] => 4.445
            [stop_loss] => 4.463
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-24 13:20:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.036
            [max_drawdown] => 0.012
            [rr_ratio] => 3
            [high] => 4.45700000
            [low] => 4.40900000
            [mfe_pct] => 0.81
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 3
            [candles_analyzed] => 24
            [start_at] => 2025-04-24T12:22:12-04:00
            [end_at] => 2025-04-24T14:22:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.041
            [max_drawdown] => 0.012
            [rr_ratio] => 3.42
            [high] => 4.45700000
            [low] => 4.40400000
            [mfe_pct] => 0.92
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 3.42
            [candles_analyzed] => 72
            [start_at] => 2025-04-24T12:22:12-04:00
            [end_at] => 2025-04-24T18:22:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.44800000
            [high_after] => 4.45700000
            [low_before] => 4.38400000
            [low_after] => 4.40400000
            [is_new_high] => 
            [is_new_low] => 
        )

)