Short Trade on ARC

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Short Trade on ARC 18 Apr 2025 at 21:31:55

Take profit at 0.03209 (1.5 %) and Stop Loss at 0.03291 (1.01 %)

Short Trade on ARC

The 18 Apr 2025 at 21:31:55

With 24405.1067 ARC at 0.03258$ per unit.

Position size of 795.1184 $

Take profit at 0.03209 (1.5 %) and Stop Loss at 0.03291 (1.01 %)

That's a 1.48 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.58

Prediction Score: -5.4298

Prediction 1	Probability
Strong 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: 0.01
atr: 0.0002185334977

Details

score: 1.01
1H
ema9 : 0.0323608
ema21 : 0.0331628
ema50 : 0.0344358
price_ema9_diff : 0.00660842
ema9_ema21_diff : -0.024183
ema21_ema50_diff : -0.036969
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.42003
kc_percentage : 0.356963
kc_width_percentage : 0.111095
15m
ema9 : 0.0321301
ema21 : 0.0320616
ema50 : 0.0324993
price_ema9_diff : 0.0140294
ema9_ema21_diff : 0.00213902
ema21_ema50_diff : -0.0134689
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.582435
kc_percentage : 0.849486
kc_width_percentage : 0.0460148
5m
ema9 : 0.0323274
ema21 : 0.0321048
ema50 : 0.0319921
price_ema9_diff : 0.00786576
ema9_ema21_diff : 0.00693469
ema21_ema50_diff : 0.00352107
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.651476
kc_percentage : 1.00985
kc_width_percentage : 0.027907

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 21:31:55	18 Apr 2025 22:45:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03258	0.03291	0.03209	1.48	0.03031

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 0.03258
Stop Loss: 0.03291
Take Profit: 0.03209

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.03291 - 0.03258 = 0.00033
Récompense (distance jusqu'au take profit):

E - TP = 0.03258 - 0.03209 = 0.00049
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00049 / 0.00033 = 1.4848

📌 Position Size

Amount	Margin	Quantity	Leverage
795.1184	100	24405.1067	7.95

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 0.00033

Taille de position = 8 / 0.00033 = 24242.42

Taille de position USD = 24242.42 x 0.03258 = 789.82

Donc, tu peux acheter 24242.42 avec un stoploss a 0.03291

Avec un position size USD de 789.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 24242.42 x 0.00033 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 24242.42 x 0.00049 = 11.88

Si Take Profit atteint, tu gagneras 11.88$

Résumé

Taille de position 24242.42
Taille de position USD 789.82
Perte potentielle 8
Gain potentiel 11.88
Risk-Reward Ratio 1.4848

📌 Peformances

TP % Target	TP $ Target
1.5 %	11.96 $

SL % Target	SL $ Target
1.01 %	8.05 $

PNL	PNL %
-8.05 $	-1.01

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.0742786985881 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03209
            [entry_price] => 0.03258
            [stop_loss] => 0.032943
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 23:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03209
            [entry_price] => 0.03258
            [stop_loss] => 0.032976
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 23:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03209
            [entry_price] => 0.03258
            [stop_loss] => 0.033009
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 23:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03209
            [entry_price] => 0.03258
            [stop_loss] => 0.033075
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 23:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00045
            [max_drawdown] => 0.00102
            [rr_ratio] => 0.44
            [high] => 0.03360000
            [low] => 0.03213000
            [mfe_pct] => 1.38
            [mae_pct] => 3.13
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T21:31:55-04:00
            [end_at] => 2025-04-18T23:31:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00045
            [max_drawdown] => 0.00118
            [rr_ratio] => 0.38
            [high] => 0.03376000
            [low] => 0.03213000
            [mfe_pct] => 1.38
            [mae_pct] => 3.62
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T21:31:55-04:00
            [end_at] => 2025-04-19T03:31:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03275000
            [high_after] => 0.03376000
            [low_before] => 0.03133000
            [low_after] => 0.03213000
            [is_new_high] => 
            [is_new_low] => 
        )

)