Short Trade on BGB

Previous Trade Next Trade

Short Trade on BGB 16 Apr 2025 at 04:41:14

Take profit at 4.2249 (0.52 %) and Stop Loss at 4.2618 (0.35 %)

Short Trade on BGB

The 16 Apr 2025 at 04:41:14

With 541.7902 BGB at 4.247$ per unit.

Position size of 2300.9831 $

Take profit at 4.2249 (0.52 %) and Stop Loss at 4.2618 (0.35 %)

That's a 1.49 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: -0.08

Prediction Score:

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: 0.009843908464

Details

score: 1.07
1H
ema9 : 4.23278
ema21 : 4.25603
ema50 : 4.28153
price_ema9_diff : 0.00334053
ema9_ema21_diff : -0.00546258
ema21_ema50_diff : -0.00595613
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.469185
kc_percentage : 0.449752
kc_width_percentage : 0.0351568
15m
ema9 : 4.22496
ema21 : 4.22576
ema50 : 4.24315
price_ema9_diff : 0.00521391
ema9_ema21_diff : -0.00018829
ema21_ema50_diff : -0.00409954
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.559215
kc_percentage : 0.785529
kc_width_percentage : 0.0178585
5m
ema9 : 4.23115
ema21 : 4.22407
ema50 : 4.22261
price_ema9_diff : 0.00375174
ema9_ema21_diff : 0.00167637
ema21_ema50_diff : 0.000344643
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.652097
kc_percentage : 1.07347
kc_width_percentage : 0.00928687

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
16 Apr 2025 04:41:14	16 Apr 2025 04:45:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.247	4.2618	4.2249	1.49	2.2366

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 4.247
Stop Loss: 4.2618
Take Profit: 4.2249

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.2618 - 4.247 = 0.0148
Récompense (distance jusqu'au take profit):

E - TP = 4.247 - 4.2249 = 0.0221
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0221 / 0.0148 = 1.4932

📌 Position Size

Amount	Margin	Quantity	Leverage
2300.9831	100	541.7902	23.01

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 0.0148

Taille de position = 8 / 0.0148 = 540.54

Taille de position USD = 540.54 x 4.247 = 2295.67

Donc, tu peux acheter 540.54 avec un stoploss a 4.2618

Avec un position size USD de 2295.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 540.54 x 0.0148 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 540.54 x 0.0221 = 11.95

Si Take Profit atteint, tu gagneras 11.95$

Résumé

Taille de position 540.54
Taille de position USD 2295.67
Perte potentielle 8
Gain potentiel 11.95
Risk-Reward Ratio 1.4932

📌 Peformances

TP % Target	TP $ Target
0.52 %	11.97 $

SL % Target	SL $ Target
0.35 %	8.02 $

PNL	PNL %
-8.13 $	-0.35

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.35319048740287 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.225
            [entry_price] => 4.247
            [stop_loss] => 4.2635
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-16 05:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.225
            [entry_price] => 4.247
            [stop_loss] => 4.265
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-16 05:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.225
            [entry_price] => 4.247
            [stop_loss] => 4.2665
            [rr_ratio] => 1.13
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-16 05:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.225
            [entry_price] => 4.247
            [stop_loss] => 4.2695
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-16 05:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0049999999999999
            [max_drawdown] => 0.083
            [rr_ratio] => -0.06
            [high] => 4.33000000
            [low] => 4.25200000
            [mfe_pct] => -0.12
            [mae_pct] => 1.95
            [mfe_mae_ratio] => -0.06
            [candles_analyzed] => 24
            [start_at] => 2025-04-16T04:41:14-04:00
            [end_at] => 2025-04-16T06:41:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0049999999999999
            [max_drawdown] => 0.101
            [rr_ratio] => -0.05
            [high] => 4.34800000
            [low] => 4.25200000
            [mfe_pct] => -0.12
            [mae_pct] => 2.38
            [mfe_mae_ratio] => -0.05
            [candles_analyzed] => 72
            [start_at] => 2025-04-16T04:41:14-04:00
            [end_at] => 2025-04-16T10:41:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.26700000
            [high_after] => 4.34800000
            [low_before] => 4.16200000
            [low_after] => 4.25200000
            [is_new_high] => 
            [is_new_low] => 
        )

)