Short Trade on ORCA

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Short Trade on ORCA 03 May 2025 at 15:50:05

Take profit at 2.7152 (0.69 %) and Stop Loss at 2.7465 (0.46 %)

Short Trade on ORCA

The 03 May 2025 at 15:50:05

With 637.6656 ORCA at 2.734$ per unit.

Position size of 1743.3779 $

Take profit at 2.7152 (0.69 %) and Stop Loss at 2.7465 (0.46 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -90

ML Pullback Score: 1.04

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: 0.29
atr: 0.008363839815

Details

score: 1.29
1H
ema9 : 2.73699
ema21 : 2.75912
ema50 : 2.78128
price_ema9_diff : -0.0010863
ema9_ema21_diff : -0.00802074
ema21_ema50_diff : -0.00796782
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.454132
kc_percentage : 0.398433
kc_width_percentage : 0.0857737
15m
ema9 : 2.71135
ema21 : 2.71953
ema50 : 2.74445
price_ema9_diff : 0.00832841
ema9_ema21_diff : -0.00300983
ema21_ema50_diff : -0.00907804
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.519929
kc_percentage : 0.690827
kc_width_percentage : 0.0298993
5m
ema9 : 2.71931
ema21 : 2.70953
ema50 : 2.71452
price_ema9_diff : 0.00541945
ema9_ema21_diff : 0.00360866
ema21_ema50_diff : -0.00183719
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.665597
kc_percentage : 1.2887
kc_width_percentage : 0.0111767

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 15:50:05	03 May 2025 16:45:00	54 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.734	2.7465	2.7152	1.5	0.863

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 2.734
Stop Loss: 2.7465
Take Profit: 2.7152

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.7465 - 2.734 = 0.0125
Récompense (distance jusqu'au take profit):

E - TP = 2.734 - 2.7152 = 0.0188
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0188 / 0.0125 = 1.504

📌 Position Size

Amount	Margin	Quantity	Leverage
1743.3779	100	637.6656	17.43

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 0.0125

Taille de position = 8 / 0.0125 = 640

Taille de position USD = 640 x 2.734 = 1749.76

Donc, tu peux acheter 640 avec un stoploss a 2.7465

Avec un position size USD de 1749.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 640 x 0.0125 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 640 x 0.0188 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

Taille de position 640
Taille de position USD 1749.76
Perte potentielle 8
Gain potentiel 12.03
Risk-Reward Ratio 1.504

📌 Peformances

TP % Target	TP $ Target
0.69 %	11.99 $

SL % Target	SL $ Target
0.46 %	7.97 $

PNL	PNL %
-8.29 $	-0.48

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.65837600585222 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.715
            [entry_price] => 2.734
            [stop_loss] => 2.7483
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.715
            [entry_price] => 2.734
            [stop_loss] => 2.7496
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.715
            [entry_price] => 2.734
            [stop_loss] => 2.7509
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.715
            [entry_price] => 2.734
            [stop_loss] => 2.7535
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-03 18:20:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.018
            [rr_ratio] => 0.44
            [high] => 2.75200000
            [low] => 2.72600000
            [mfe_pct] => 0.29
            [mae_pct] => 0.66
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T15:50:05-04:00
            [end_at] => 2025-05-03T17:50:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.064
            [max_drawdown] => 0.056
            [rr_ratio] => 1.14
            [high] => 2.79000000
            [low] => 2.67000000
            [mfe_pct] => 2.34
            [mae_pct] => 2.05
            [mfe_mae_ratio] => 1.14
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T15:50:05-04:00
            [end_at] => 2025-05-03T21:50:05-04:00
        )

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

)