Short Trade on BNB

The 03 May 2025 at 08:43:56

With 18.5547 BNB at 597.5$ per unit.

Position size of 11086.4558 $

Take profit at 596.8533 (0.11 %) and Stop Loss at 597.9312 (0.072 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.81

Prediction Score: 1.2725

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: 0.26
atr: 0.2874378185

Details

score: 1.26
1H
ema9 - 597.35
ema21 - 598.232
ema50 - 599.182
price_ema9_diff - 0.000250517
ema9_ema21_diff - -0.00147521
ema21_ema50_diff - -0.00158597
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.461233
kc_percentage - 0.384075
kc_width_percentage - 0.00988186
15m
ema9 - 596.606
ema21 - 596.824
ema50 - 597.769
price_ema9_diff - 0.00149775
ema9_ema21_diff - -0.000365183
ema21_ema50_diff - -0.00158179
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.542909
kc_percentage - 0.78372
kc_width_percentage - 0.00420481
5m
ema9 - 597.014
ema21 - 596.652
ema50 - 596.691
price_ema9_diff - 0.00081316
ema9_ema21_diff - 0.000607724
ema21_ema50_diff - -6.54841E-5
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.715899
kc_percentage - 1.25719
kc_width_percentage - 0.00183593

📌 Time Data

Start at	Closed at	Duration
03 May 2025 08:43:56	03 May 2025 09:10:00	26 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
597.5	597.9312	596.8533	1.5	889.45

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 597.5
Stop Loss: 597.9312
Take Profit: 596.8533

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 597.9312 - 597.5 = 0.43119999999999
Récompense (distance jusqu'au take profit):

E - TP = 597.5 - 596.8533 = 0.64670000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.64670000000001 / 0.43119999999999 = 1.4998

📌 Position Size

Amount	Margin	Quantity	Leverage
11086.4558	100	18.5547	110.86

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 0.43119999999999

Taille de position = 8 / 0.43119999999999 = 18.55

Taille de position USD = 18.55 x 597.5 = 11083.63

Donc, tu peux acheter 18.55 avec un stoploss a 597.9312

Avec un position size USD de 11083.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 18.55 x 0.43119999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 18.55 x 0.64670000000001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 18.55
Taille de position USD 11083.63
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.4998

📌 Peformances

TP % Target	TP $ Target
0.11 %	12 $

SL % Target	SL $ Target
0.072 %	8 $

PNL	PNL %
-7.42 $	-0.07

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.083682008368201 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 596.9
            [entry_price] => 597.5
            [stop_loss] => 597.94
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-03 09:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 596.9
            [entry_price] => 597.5
            [stop_loss] => 597.98
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-03 09:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 596.9
            [entry_price] => 597.5
            [stop_loss] => 598.02
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-03 09:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 596.9
            [entry_price] => 597.5
            [stop_loss] => 598.1
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-03 09:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.49000000000001
            [max_drawdown] => 1.04
            [rr_ratio] => 0.47
            [high] => 598.54000000
            [low] => 597.01000000
            [mfe_pct] => 0.08
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 0.47
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T08:43:56-04:00
            [end_at] => 2025-05-03T10:43:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.4400000000001
            [max_drawdown] => 2
            [rr_ratio] => 0.72
            [high] => 599.50000000
            [low] => 596.06000000
            [mfe_pct] => 0.24
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 0.72
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T08:43:56-04:00
            [end_at] => 2025-05-03T14:43:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 597.56000000
            [high_after] => 599.50000000
            [low_before] => 595.17000000
            [low_after] => 596.06000000
            [is_new_high] => 
            [is_new_low] => 
        )

)