Short Trade on BGB

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Short Trade on BGB 20 Apr 2025 at 20:01:46

Take profit at 4.4075 (0.31 %) and Stop Loss at 4.43 (0.2 %)

Short Trade on BGB

The 20 Apr 2025 at 20:01:46

With 885.6318 BGB at 4.421$ per unit.

Position size of 3915.378 $

Take profit at 4.4075 (0.31 %) and Stop Loss at 4.43 (0.2 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.02

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: 0.07
atr: 0.006022066473

Details

score: 1.07
1H
ema9 : 4.40669
ema21 : 4.42664
ema50 : 4.44009
price_ema9_diff : 0.00323112
ema9_ema21_diff : -0.00450591
ema21_ema50_diff : -0.00302868
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.475105
kc_percentage : 0.471578
kc_width_percentage : 0.0321451
15m
ema9 : 4.40798
ema21 : 4.39989
ema50 : 4.40877
price_ema9_diff : 0.00295721
ema9_ema21_diff : 0.0018402
ema21_ema50_diff : -0.00201503
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.633239
kc_percentage : 0.929811
kc_width_percentage : 0.0109591
5m
ema9 : 4.41485
ema21 : 4.40745
ema50 : 4.39935
price_ema9_diff : 0.00139407
ema9_ema21_diff : 0.00167935
ema21_ema50_diff : 0.00184131
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.710992
kc_percentage : 1.07246
kc_width_percentage : 0.00515988

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
20 Apr 2025 20:01:46	20 Apr 2025 20:10:00	8 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.421	4.43	4.4075	1.5	2.216

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 4.421
Stop Loss: 4.43
Take Profit: 4.4075

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.43 - 4.421 = 0.0089999999999995
Récompense (distance jusqu'au take profit):

E - TP = 4.421 - 4.4075 = 0.013500000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.013500000000001 / 0.0089999999999995 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
3915.378	100	885.6318	39.15

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 0.0089999999999995

Taille de position = 8 / 0.0089999999999995 = 888.89

Taille de position USD = 888.89 x 4.421 = 3929.78

Donc, tu peux acheter 888.89 avec un stoploss a 4.43

Avec un position size USD de 3929.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 888.89 x 0.0089999999999995 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 888.89 x 0.013500000000001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 888.89
Taille de position USD 3929.78
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.31 %	11.96 $

SL % Target	SL $ Target
0.2 %	7.97 $

PNL	PNL %
-7.97 $	-0.20

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.3166704365528 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.407
            [entry_price] => 4.421
            [stop_loss] => 4.4309
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-20 20:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.407
            [entry_price] => 4.421
            [stop_loss] => 4.4318
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-20 20:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.407
            [entry_price] => 4.421
            [stop_loss] => 4.4327
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-20 20:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.407
            [entry_price] => 4.421
            [stop_loss] => 4.4345
            [rr_ratio] => 1.04
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-20 20:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0020000000000007
            [max_drawdown] => 0.085999999999999
            [rr_ratio] => 0.02
            [high] => 4.50700000
            [low] => 4.41900000
            [mfe_pct] => 0.05
            [mae_pct] => 1.95
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T20:01:46-04:00
            [end_at] => 2025-04-20T22:01:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0020000000000007
            [max_drawdown] => 0.141
            [rr_ratio] => 0.01
            [high] => 4.56200000
            [low] => 4.41900000
            [mfe_pct] => 0.05
            [mae_pct] => 3.19
            [mfe_mae_ratio] => 0.01
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T20:01:46-04:00
            [end_at] => 2025-04-21T02:01:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.42400000
            [high_after] => 4.56200000
            [low_before] => 4.37000000
            [low_after] => 4.41900000
            [is_new_high] => 
            [is_new_low] => 
        )

)