Short Trade on ARC

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Short Trade on ARC 18 Apr 2025 at 21:02:04

Take profit at 0.03191 (1.3 %) and Stop Loss at 0.03261 (0.87 %)

Short Trade on ARC

The 18 Apr 2025 at 21:02:04

With 28881.2422 ARC at 0.03233$ per unit.

Position size of 933.7306 $

Take profit at 0.03191 (1.3 %) and Stop Loss at 0.03261 (0.87 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.66

Prediction Score: -4.4614

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: 0.12
atr: 0.0001846642641

Details

score: 1.12
1H
ema9 : 0.0323108
ema21 : 0.03314
ema50 : 0.034426
price_ema9_diff : 0.00057797
ema9_ema21_diff : -0.0250225
ema21_ema50_diff : -0.0373549
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.396146
kc_percentage : 0.2783
kc_width_percentage : 0.103788
15m
ema9 : 0.0319456
ema21 : 0.0319832
ema50 : 0.0325056
price_ema9_diff : 0.0120164
ema9_ema21_diff : -0.0011734
ema21_ema50_diff : -0.0160723
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.550274
kc_percentage : 0.764288
kc_width_percentage : 0.0419121
5m
ema9 : 0.031988
ema21 : 0.0318675
ema50 : 0.031872
price_ema9_diff : 0.0107289
ema9_ema21_diff : 0.00378372
ema21_ema50_diff : -0.000142824
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.662948
kc_percentage : 1.11615
kc_width_percentage : 0.0230073

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 21:02:04	18 Apr 2025 21:20:00	17 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03233	0.03261	0.03191	1.5	0.03073

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 0.03233
Stop Loss: 0.03261
Take Profit: 0.03191

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.03261 - 0.03233 = 0.00028
Récompense (distance jusqu'au take profit):

E - TP = 0.03233 - 0.03191 = 0.00042
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00042 / 0.00028 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
933.7306	100	28881.2422	9.34

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 0.00028

Taille de position = 8 / 0.00028 = 28571.43

Taille de position USD = 28571.43 x 0.03233 = 923.71

Donc, tu peux acheter 28571.43 avec un stoploss a 0.03261

Avec un position size USD de 923.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 28571.43 x 0.00028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 28571.43 x 0.00042 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 28571.43
Taille de position USD 923.71
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.3 %	12.13 $

SL % Target	SL $ Target
0.87 %	8.09 $

PNL	PNL %
-8.09 $	-0.87

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.92793071450666 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03191
            [entry_price] => 0.03233
            [stop_loss] => 0.032638
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 21:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03191
            [entry_price] => 0.03233
            [stop_loss] => 0.032666
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 21:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03191
            [entry_price] => 0.03233
            [stop_loss] => 0.032694
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 21:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03191
            [entry_price] => 0.03233
            [stop_loss] => 0.03275
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 21:25:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0004
            [max_drawdown] => 0.00064
            [rr_ratio] => 0.62
            [high] => 0.03297000
            [low] => 0.03193000
            [mfe_pct] => 1.24
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 0.62
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T21:02:04-04:00
            [end_at] => 2025-04-18T23:02:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0004
            [max_drawdown] => 0.00143
            [rr_ratio] => 0.28
            [high] => 0.03376000
            [low] => 0.03193000
            [mfe_pct] => 1.24
            [mae_pct] => 4.42
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T21:02:04-04:00
            [end_at] => 2025-04-19T03:02:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03234000
            [high_after] => 0.03376000
            [low_before] => 0.03133000
            [low_after] => 0.03193000
            [is_new_high] => 
            [is_new_low] => 
        )

)