Short Trade on BGB

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Short Trade on BGB 30 Apr 2025 at 17:08:21

Take profit at 4.3236 (0.24 %) and Stop Loss at 4.341 (0.16 %)

Short Trade on BGB

The 30 Apr 2025 at 17:08:21

With 1149.2859 BGB at 4.334$ per unit.

Position size of 4981.005 $

Take profit at 4.3236 (0.24 %) and Stop Loss at 4.341 (0.16 %)

That's a 1.49 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.41

Prediction Score: -0.6841

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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
atr: 0.004640562859

Details

score: 1
1H
ema9 : 4.33244
ema21 : 4.34957
ema50 : 4.36913
price_ema9_diff : 0.000356924
ema9_ema21_diff : -0.00393702
ema21_ema50_diff : -0.00447643
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.428185
kc_percentage : 0.33293
kc_width_percentage : 0.0198569
15m
ema9 : 4.32565
ema21 : 4.32663
ema50 : 4.34007
price_ema9_diff : 0.00192984
ema9_ema21_diff : -0.000226804
ema21_ema50_diff : -0.00309741
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.539093
kc_percentage : 0.701012
kc_width_percentage : 0.00884001
5m
ema9 : 4.32685
ema21 : 4.32465
ema50 : 4.32428
price_ema9_diff : 0.00165177
ema9_ema21_diff : 0.00050899
ema21_ema50_diff : 8.49757E-5
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.661123
kc_percentage : 1.00031
kc_width_percentage : 0.00425948

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
30 Apr 2025 17:08:21	30 Apr 2025 17:20:00	11 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.334	4.341	4.3236	1.49	2.2165

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 4.334
Stop Loss: 4.341
Take Profit: 4.3236

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.341 - 4.334 = 0.0070000000000006
Récompense (distance jusqu'au take profit):

E - TP = 4.334 - 4.3236 = 0.0104
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0104 / 0.0070000000000006 = 1.4857

📌 Position Size

Amount	Margin	Quantity	Leverage
4981.005	100	1149.2859	49.81

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 0.0070000000000006

Taille de position = 8 / 0.0070000000000006 = 1142.86

Taille de position USD = 1142.86 x 4.334 = 4953.16

Donc, tu peux acheter 1142.86 avec un stoploss a 4.341

Avec un position size USD de 4953.16$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1142.86 x 0.0070000000000006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1142.86 x 0.0104 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

Taille de position 1142.86
Taille de position USD 4953.16
Perte potentielle 8
Gain potentiel 11.89
Risk-Reward Ratio 1.4857

📌 Peformances

TP % Target	TP $ Target
0.24 %	11.95 $

SL % Target	SL $ Target
0.16 %	8.05 $

PNL	PNL %
-8.05 $	-0.16

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.16151361329028 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.324
            [entry_price] => 4.334
            [stop_loss] => 4.3417
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-30 17:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.324
            [entry_price] => 4.334
            [stop_loss] => 4.3424
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-30 18:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.324
            [entry_price] => 4.334
            [stop_loss] => 4.3431
            [rr_ratio] => 1.1
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-30 19:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.324
            [entry_price] => 4.334
            [stop_loss] => 4.3445
            [rr_ratio] => 0.95
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-30 19:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0039999999999996
            [max_drawdown] => 0.0090000000000003
            [rr_ratio] => 0.44
            [high] => 4.34300000
            [low] => 4.33000000
            [mfe_pct] => 0.09
            [mae_pct] => 0.21
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 24
            [start_at] => 2025-04-30T17:08:21-04:00
            [end_at] => 2025-04-30T19:08:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0039999999999996
            [max_drawdown] => 0.046
            [rr_ratio] => 0.09
            [high] => 4.38000000
            [low] => 4.33000000
            [mfe_pct] => 0.09
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 72
            [start_at] => 2025-04-30T17:08:21-04:00
            [end_at] => 2025-04-30T23:08:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.33700000
            [high_after] => 4.38000000
            [low_before] => 4.31100000
            [low_after] => 4.33000000
            [is_new_high] => 
            [is_new_low] => 
        )

)