Short Trade on ORCA

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Short Trade on ORCA 03 May 2025 at 15:56:38

Take profit at 2.7162 (0.72 %) and Stop Loss at 2.7492 (0.48 %)

Short Trade on ORCA

The 03 May 2025 at 15:56:38

With 606.9142 ORCA at 2.736$ per unit.

Position size of 1660.5173 $

Take profit at 2.7162 (0.72 %) and Stop Loss at 2.7492 (0.48 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -80

ML Pullback Score: 1.44

Prediction Score: 0

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.2
atr: 0.008787623172

Details

score: 1.2
1H
ema9 : 2.73739
ema21 : 2.7593
ema50 : 2.78136
price_ema9_diff : -0.000506374
ema9_ema21_diff : -0.00794114
ema21_ema50_diff : -0.00793042
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.45704
kc_percentage : 0.407256
kc_width_percentage : 0.0867344
15m
ema9 : 2.71175
ema21 : 2.71971
ema50 : 2.74452
price_ema9_diff : 0.00891615
ema9_ema21_diff : -0.00292941
ema21_ema50_diff : -0.00904011
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.524452
kc_percentage : 0.70591
kc_width_percentage : 0.0309009
5m
ema9 : 2.72377
ema21 : 2.71252
ema50 : 2.71535
price_ema9_diff : 0.00450775
ema9_ema21_diff : 0.00414801
ema21_ema50_diff : -0.00104419
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.652656
kc_percentage : 1.1952
kc_width_percentage : 0.0120985

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 15:56:38	03 May 2025 16:45:00	48 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.736	2.7492	2.7162	1.5	0.881

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 2.736
Stop Loss: 2.7492
Take Profit: 2.7162

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.7492 - 2.736 = 0.0132
Récompense (distance jusqu'au take profit):

E - TP = 2.736 - 2.7162 = 0.0198
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0198 / 0.0132 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1660.5173	100	606.9142	16.61

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 0.0132

Taille de position = 8 / 0.0132 = 606.06

Taille de position USD = 606.06 x 2.736 = 1658.18

Donc, tu peux acheter 606.06 avec un stoploss a 2.7492

Avec un position size USD de 1658.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 606.06 x 0.0132 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 606.06 x 0.0198 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 606.06
Taille de position USD 1658.18
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.72 %	12.02 $

SL % Target	SL $ Target
0.48 %	8.01 $

PNL	PNL %
-7.89 $	-0.48

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.58479532163741 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.716
            [entry_price] => 2.736
            [stop_loss] => 2.7503
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.716
            [entry_price] => 2.736
            [stop_loss] => 2.7516
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.716
            [entry_price] => 2.736
            [stop_loss] => 2.7529
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-03 18:20:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 2.716
            [entry_price] => 2.736
            [stop_loss] => 2.7555
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-03 18:20:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.014
            [max_drawdown] => 0.016
            [rr_ratio] => 0.88
            [high] => 2.75200000
            [low] => 2.72200000
            [mfe_pct] => 0.51
            [mae_pct] => 0.58
            [mfe_mae_ratio] => 0.88
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T15:56:38-04:00
            [end_at] => 2025-05-03T17:56:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.066
            [max_drawdown] => 0.054
            [rr_ratio] => 1.22
            [high] => 2.79000000
            [low] => 2.67000000
            [mfe_pct] => 2.41
            [mae_pct] => 1.97
            [mfe_mae_ratio] => 1.22
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T15:56:38-04:00
            [end_at] => 2025-05-03T21:56:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.74100000
            [high_after] => 2.79000000
            [low_before] => 2.66400000
            [low_after] => 2.67000000
            [is_new_high] => 
            [is_new_low] => 
        )

)