Long Trade on SUI

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Long Trade on SUI 11 Apr 2025 at 19:01:17

Take profit at 2.2103 (0.66 %) and Stop Loss at 2.1862 (0.44 %)

Long Trade on SUI

The 11 Apr 2025 at 19:01:17

With 829.7378 SUI at 2.1958$ per unit.

Position size of 1821.9383 $

Take profit at 2.2103 (0.66 %) and Stop Loss at 2.1862 (0.44 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: -0.15

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.04
atr: 0.006427733047

Details

score: 2.04
1H
ema9 : 2.20338
ema21 : 2.1882
ema50 : 2.15278
price_ema9_diff : -0.00346855
ema9_ema21_diff : 0.00694107
ema21_ema50_diff : 0.0164524
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.546847
kc_percentage : 0.551098
kc_width_percentage : 0.0558811
15m
ema9 : 2.20881
ema21 : 2.21181
ema50 : 2.20152
price_ema9_diff : -0.0058823
ema9_ema21_diff : -0.00136023
ema21_ema50_diff : 0.00467752
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.408239
kc_percentage : 0.169249
kc_width_percentage : 0.0222455
5m
ema9 : 2.20305
ema21 : 2.20949
ema50 : 2.21367
price_ema9_diff : -0.00328252
ema9_ema21_diff : -0.00291555
ema21_ema50_diff : -0.00188897
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.325103
kc_percentage : -0.0437468
kc_width_percentage : 0.0111355

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
11 Apr 2025 19:01:17	11 Apr 2025 19:05:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.1958	2.1862	2.2103	1.51	0.9291

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 2.1958
Stop Loss: 2.1862
Take Profit: 2.2103

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.1862 - 2.1958 = -0.0096000000000003
Récompense (distance jusqu'au take profit):

E - TP = 2.1958 - 2.2103 = -0.0145
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0145 / -0.0096000000000003 = 1.5104

📌 Position Size

Amount	Margin	Quantity	Leverage
1821.9383	100	829.7378	18.22

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 -0.0096000000000003

Taille de position = 8 / -0.0096000000000003 = -833.33

Taille de position USD = -833.33 x 2.1958 = -1829.83

Donc, tu peux acheter -833.33 avec un stoploss a 2.1862

Avec un position size USD de -1829.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -833.33 x -0.0096000000000003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -833.33 x -0.0145 = 12.08

Si Take Profit atteint, tu gagneras 12.08$

Résumé

Taille de position -833.33
Taille de position USD -1829.83
Perte potentielle 8
Gain potentiel 12.08
Risk-Reward Ratio 1.5104

📌 Peformances

TP % Target	TP $ Target
0.66 %	12.03 $

SL % Target	SL $ Target
0.44 %	7.97 $

PNL	PNL %
-8.3 $	-0.46

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.51912568306011 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.21
            [entry_price] => 2.196
            [stop_loss] => 2.185
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-11 19:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.21
            [entry_price] => 2.196
            [stop_loss] => 2.184
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-11 19:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.21
            [entry_price] => 2.196
            [stop_loss] => 2.183
            [rr_ratio] => 1.08
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-11 19:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.21
            [entry_price] => 2.196
            [stop_loss] => 2.181
            [rr_ratio] => 0.93
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-11 19:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0035000000000003
            [max_drawdown] => 0.0215
            [rr_ratio] => -0.16
            [high] => 2.19230000
            [low] => 2.17430000
            [mfe_pct] => -0.16
            [mae_pct] => 0.98
            [mfe_mae_ratio] => -0.16
            [candles_analyzed] => 24
            [start_at] => 2025-04-11T19:01:17-04:00
            [end_at] => 2025-04-11T21:01:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0012000000000003
            [max_drawdown] => 0.0397
            [rr_ratio] => -0.03
            [high] => 2.19460000
            [low] => 2.15610000
            [mfe_pct] => -0.05
            [mae_pct] => 1.81
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 72
            [start_at] => 2025-04-11T19:01:17-04:00
            [end_at] => 2025-04-12T01:01:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.24430000
            [high_after] => 2.19460000
            [low_before] => 2.18420000
            [low_after] => 2.15610000
            [is_new_high] => 
            [is_new_low] => 
        )

)