Short Trade on ARK

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Short Trade on ARK 18 Apr 2025 at 10:51:33

Take profit at 0.4607 (1.03 %) and Stop Loss at 0.4687 (0.69 %)

Short Trade on ARK

The 18 Apr 2025 at 10:51:33

With 2486.8122 ARK at 0.4655$ per unit.

Position size of 1157.6111 $

Take profit at 0.4607 (1.03 %) and Stop Loss at 0.4687 (0.69 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.97

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: 0.03
atr: 0.002144646572

Details

score: 1.03
1H
ema9 : 0.461328
ema21 : 0.465914
ema50 : 0.468235
price_ema9_diff : 0.00895381
ema9_ema21_diff : -0.00984306
ema21_ema50_diff : -0.00495732
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.489078
kc_percentage : 0.499147
kc_width_percentage : 0.111025
15m
ema9 : 0.461109
ema21 : 0.460374
ema50 : 0.462162
price_ema9_diff : 0.00953689
ema9_ema21_diff : 0.00159743
ema21_ema50_diff : -0.0038702
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.607563
kc_percentage : 0.822541
kc_width_percentage : 0.0340939
5m
ema9 : 0.462857
ema21 : 0.460738
ema50 : 0.460166
price_ema9_diff : 0.00573496
ema9_ema21_diff : 0.00459974
ema21_ema50_diff : 0.00124357
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.681482
kc_percentage : 1.03153
kc_width_percentage : 0.0188565

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 10:51:33	18 Apr 2025 11:15:00	23 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.4655	0.4687	0.4607	1.5	0.1781

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 0.4655
Stop Loss: 0.4687
Take Profit: 0.4607

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.4687 - 0.4655 = 0.0032
Récompense (distance jusqu'au take profit):

E - TP = 0.4655 - 0.4607 = 0.0048
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0048 / 0.0032 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1157.6111	100	2486.8122	11.58

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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.4655 = 1163.75

Donc, tu peux acheter 2500 avec un stoploss a 0.4687

Avec un position size USD de 1163.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0048 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 2500
Taille de position USD 1163.75
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.03 %	11.94 $

SL % Target	SL $ Target
0.69 %	7.96 $

PNL	PNL %
-7.96 $	-0.69

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.77336197636949 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4607
            [entry_price] => 0.4655
            [stop_loss] => 0.46902
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 11:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4607
            [entry_price] => 0.4655
            [stop_loss] => 0.46934
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 11:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4607
            [entry_price] => 0.4655
            [stop_loss] => 0.46966
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 11:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4607
            [entry_price] => 0.4655
            [stop_loss] => 0.4703
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 13:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0044
            [max_drawdown] => 0.0044
            [rr_ratio] => 1
            [high] => 0.46990000
            [low] => 0.46110000
            [mfe_pct] => 0.95
            [mae_pct] => 0.95
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T10:51:33-04:00
            [end_at] => 2025-04-18T12:51:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0044
            [max_drawdown] => 0.0158
            [rr_ratio] => 0.28
            [high] => 0.48130000
            [low] => 0.46110000
            [mfe_pct] => 0.95
            [mae_pct] => 3.39
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T10:51:33-04:00
            [end_at] => 2025-04-18T16:51:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.46740000
            [high_after] => 0.48130000
            [low_before] => 0.45340000
            [low_after] => 0.46110000
            [is_new_high] => 
            [is_new_low] => 
        )

)