Short Trade on BGB

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Short Trade on BGB 24 Apr 2025 at 20:52:24

Take profit at 4.4283 (0.29 %) and Stop Loss at 4.4495 (0.19 %)

Short Trade on BGB

The 24 Apr 2025 at 20:52:24

With 941.9853 BGB at 4.441$ per unit.

Position size of 4183.3565 $

Take profit at 4.4283 (0.29 %) and Stop Loss at 4.4495 (0.19 %)

That's a 1.49 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 4.45

Prediction Score: 0

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: 0.08
atr: 0.005661801273

Details

score: 1.08
1H
ema9 : 4.42723
ema21 : 4.44103
ema50 : 4.4683
price_ema9_diff : 0.00309914
ema9_ema21_diff : -0.00310665
ema21_ema50_diff : -0.00610237
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.47752
kc_percentage : 0.513801
kc_width_percentage : 0.023032
15m
ema9 : 4.42798
ema21 : 4.42463
ema50 : 4.42904
price_ema9_diff : 0.00294086
ema9_ema21_diff : 0.000757745
ema21_ema50_diff : -0.00099647
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.624918
kc_percentage : 0.903688
kc_width_percentage : 0.0091004
5m
ema9 : 4.43313
ema21 : 4.42741
ema50 : 4.42421
price_ema9_diff : 0.00177657
ema9_ema21_diff : 0.00129096
ema21_ema50_diff : 0.000725139
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.736545
kc_percentage : 1.0775
kc_width_percentage : 0.00517101

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
24 Apr 2025 20:52:24	24 Apr 2025 21:00:00	7 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.441	4.4495	4.4283	1.49	2.2131

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 4.441
Stop Loss: 4.4495
Take Profit: 4.4283

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.4495 - 4.441 = 0.0084999999999997
Récompense (distance jusqu'au take profit):

E - TP = 4.441 - 4.4283 = 0.0127
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0127 / 0.0084999999999997 = 1.4941

📌 Position Size

Amount	Margin	Quantity	Leverage
4183.3565	100	941.9853	41.83

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 0.0084999999999997

Taille de position = 8 / 0.0084999999999997 = 941.18

Taille de position USD = 941.18 x 4.441 = 4179.78

Donc, tu peux acheter 941.18 avec un stoploss a 4.4495

Avec un position size USD de 4179.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 941.18 x 0.0084999999999997 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 941.18 x 0.0127 = 11.95

Si Take Profit atteint, tu gagneras 11.95$

Résumé

Taille de position 941.18
Taille de position USD 4179.78
Perte potentielle 8
Gain potentiel 11.95
Risk-Reward Ratio 1.4941

📌 Peformances

TP % Target	TP $ Target
0.29 %	11.96 $

SL % Target	SL $ Target
0.19 %	8.01 $

PNL	PNL %
-7.54 $	-0.18

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.22517451024544 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.428
            [entry_price] => 4.441
            [stop_loss] => 4.4498
            [rr_ratio] => 1.48
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-24 21:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.428
            [entry_price] => 4.441
            [stop_loss] => 4.4506
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-24 21:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.428
            [entry_price] => 4.441
            [stop_loss] => 4.4514
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-24 21:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.428
            [entry_price] => 4.441
            [stop_loss] => 4.453
            [rr_ratio] => 1.08
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-24 21:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 0.021
            [rr_ratio] => 1.38
            [high] => 4.46200000
            [low] => 4.41200000
            [mfe_pct] => 0.65
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 1.38
            [candles_analyzed] => 24
            [start_at] => 2025-04-24T20:52:24-04:00
            [end_at] => 2025-04-24T22:52:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 0.021
            [rr_ratio] => 2.24
            [high] => 4.46200000
            [low] => 4.39400000
            [mfe_pct] => 1.06
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 2.24
            [candles_analyzed] => 72
            [start_at] => 2025-04-24T20:52:24-04:00
            [end_at] => 2025-04-25T02:52:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.44300000
            [high_after] => 4.46200000
            [low_before] => 4.40400000
            [low_after] => 4.39400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)