Short Trade on SUI

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Short Trade on SUI 16 Apr 2025 at 10:30:43

Take profit at 2.0825 (0.97 %) and Stop Loss at 2.1165 (0.65 %)

Short Trade on SUI

The 16 Apr 2025 at 10:30:43

With 588.5177 SUI at 2.1029$ per unit.

Position size of 1237.5939 $

Take profit at 2.0825 (0.97 %) and Stop Loss at 2.1165 (0.65 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 4.18

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
atr: 0.009062315514

Details

score: 1
1H
ema9 : 2.08694
ema21 : 2.10343
ema50 : 2.14791
price_ema9_diff : 0.00758722
ema9_ema21_diff : -0.00784311
ema21_ema50_diff : -0.0207059
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.470936
kc_percentage : 0.509291
kc_width_percentage : 0.0586591
15m
ema9 : 2.08677
ema21 : 2.08474
ema50 : 2.09094
price_ema9_diff : 0.00773376
ema9_ema21_diff : 0.000975818
ema21_ema50_diff : -0.0029663
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.578239
kc_percentage : 0.794745
kc_width_percentage : 0.0293489
5m
ema9 : 2.09034
ema21 : 2.08441
ema50 : 2.08301
price_ema9_diff : 0.00602199
ema9_ema21_diff : 0.002846
ema21_ema50_diff : 0.000673351
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.65628
kc_percentage : 1.00296
kc_width_percentage : 0.0172678

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
16 Apr 2025 10:30:43	16 Apr 2025 10:35:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.1029	2.1165	2.0825	1.5	0.9007

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 2.1029
Stop Loss: 2.1165
Take Profit: 2.0825

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.1165 - 2.1029 = 0.0136
Récompense (distance jusqu'au take profit):

E - TP = 2.1029 - 2.0825 = 0.0204
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0204 / 0.0136 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1237.5939	100	588.5177	12.38

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 0.0136

Taille de position = 8 / 0.0136 = 588.24

Taille de position USD = 588.24 x 2.1029 = 1237.01

Donc, tu peux acheter 588.24 avec un stoploss a 2.1165

Avec un position size USD de 1237.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 588.24 x 0.0136 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 588.24 x 0.0204 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 588.24
Taille de position USD 1237.01
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.97 %	12.01 $

SL % Target	SL $ Target
0.65 %	8 $

PNL	PNL %
-7.65 $	-0.62

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.75130765572989 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.083
            [entry_price] => 2.103
            [stop_loss] => 2.1173
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-16 10:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.083
            [entry_price] => 2.103
            [stop_loss] => 2.1186
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-16 10:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.083
            [entry_price] => 2.103
            [stop_loss] => 2.1199
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-16 10:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.083
            [entry_price] => 2.103
            [stop_loss] => 2.1225
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-16 10:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.027
            [max_drawdown] => 0.0325
            [rr_ratio] => 0.83
            [high] => 2.13540000
            [low] => 2.07590000
            [mfe_pct] => 1.28
            [mae_pct] => 1.55
            [mfe_mae_ratio] => 0.83
            [candles_analyzed] => 24
            [start_at] => 2025-04-16T10:30:43-04:00
            [end_at] => 2025-04-16T12:30:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0823
            [max_drawdown] => 0.0325
            [rr_ratio] => 2.53
            [high] => 2.13540000
            [low] => 2.02060000
            [mfe_pct] => 3.91
            [mae_pct] => 1.55
            [mfe_mae_ratio] => 2.53
            [candles_analyzed] => 72
            [start_at] => 2025-04-16T10:30:43-04:00
            [end_at] => 2025-04-16T16:30:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.11130000
            [high_after] => 2.13540000
            [low_before] => 2.05930000
            [low_after] => 2.02060000
            [is_new_high] => 
            [is_new_low] => 1
        )

)