Short Trade on BNB

Previous Trade Next Trade

Short Trade on BNB 27 Apr 2025 at 13:48:29

Take profit at 599.8088 (0.17 %) and Stop Loss at 601.5608 (0.12 %)

Short Trade on BNB

The 27 Apr 2025 at 13:48:29

With 11.415 BNB at 600.86$ per unit.

Position size of 6858.8249 $

Take profit at 599.8088 (0.17 %) and Stop Loss at 601.5608 (0.12 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: -0.01

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: 0.02
atr: 0.4672209483

Details

score: 1.02
1H
ema9 : 599.839
ema21 : 600.921
ema50 : 602.186
price_ema9_diff : 0.00169843
ema9_ema21_diff : -0.00180036
ema21_ema50_diff : -0.00210156
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.48447
kc_percentage : 0.50209
kc_width_percentage : 0.0152961
15m
ema9 : 600.006
ema21 : 599.713
ema50 : 600.239
price_ema9_diff : 0.00142304
ema9_ema21_diff : 0.00048853
ema21_ema50_diff : -0.00087631
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.580617
kc_percentage : 0.787473
kc_width_percentage : 0.00660618
5m
ema9 : 600.447
ema21 : 599.959
ema50 : 599.683
price_ema9_diff : 0.000687044
ema9_ema21_diff : 0.000814383
ema21_ema50_diff : 0.000459653
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.62658
kc_percentage : 1.02138
kc_width_percentage : 0.00279482

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 13:48:29	27 Apr 2025 14:00:00	11 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
600.86	601.5608	599.8088	1.5	611.93

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 600.86
Stop Loss: 601.5608
Take Profit: 599.8088

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 601.5608 - 600.86 = 0.70079999999996
Récompense (distance jusqu'au take profit):

E - TP = 600.86 - 599.8088 = 1.0512
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 1.0512 / 0.70079999999996 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
6858.8249	100	11.415	68.59

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 0.70079999999996

Taille de position = 8 / 0.70079999999996 = 11.42

Taille de position USD = 11.42 x 600.86 = 6861.82

Donc, tu peux acheter 11.42 avec un stoploss a 601.5608

Avec un position size USD de 6861.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11.42 x 0.70079999999996 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11.42 x 1.0512 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 11.42
Taille de position USD 6861.82
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.17 %	12 $

SL % Target	SL $ Target
0.12 %	8 $

PNL	PNL %
-7.99 $	-0.12

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.13812614411716 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 599.8
            [entry_price] => 600.9
            [stop_loss] => 601.67
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 14:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 599.8
            [entry_price] => 600.9
            [stop_loss] => 601.74
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 14:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 599.8
            [entry_price] => 600.9
            [stop_loss] => 601.81
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 14:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 599.8
            [entry_price] => 600.9
            [stop_loss] => 601.95
            [rr_ratio] => 1.05
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 14:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.029999999999973
            [max_drawdown] => 5.12
            [rr_ratio] => -0.01
            [high] => 605.98000000
            [low] => 600.89000000
            [mfe_pct] => 0
            [mae_pct] => 0.85
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T13:48:29-04:00
            [end_at] => 2025-04-27T15:48:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.029999999999973
            [max_drawdown] => 6.0599999999999
            [rr_ratio] => 0
            [high] => 606.92000000
            [low] => 600.89000000
            [mfe_pct] => 0
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T13:48:29-04:00
            [end_at] => 2025-04-27T19:48:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 600.95000000
            [high_after] => 606.92000000
            [low_before] => 597.50000000
            [low_after] => 600.89000000
            [is_new_high] => 
            [is_new_low] => 
        )

)