Short Trade on ORCA

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Short Trade on ORCA 18 Apr 2025 at 02:21:38

Take profit at 2.6372 (1.38 %) and Stop Loss at 2.6985 (0.92 %)

Short Trade on ORCA

The 18 Apr 2025 at 02:21:38

With 326.1074 ORCA at 2.674$ per unit.

Position size of 872.0111 $

Take profit at 2.6372 (1.38 %) and Stop Loss at 2.6985 (0.92 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.21

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: 0.1
atr: 0.01635453111

Details

score: 1.1
1H
ema9 : 2.68791
ema21 : 2.76143
ema50 : 2.89553
price_ema9_diff : -0.00503729
ema9_ema21_diff : -0.0266273
ema21_ema50_diff : -0.0463099
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.398623
kc_percentage : 0.211601
kc_width_percentage : 0.106167
15m
ema9 : 2.63796
ema21 : 2.66071
ema50 : 2.71933
price_ema9_diff : 0.0135446
ema9_ema21_diff : -0.00855192
ema21_ema50_diff : -0.021555
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.495392
kc_percentage : 0.622147
kc_width_percentage : 0.0487621
5m
ema9 : 2.64891
ema21 : 2.6343
ema50 : 2.64762
price_ema9_diff : 0.00952076
ema9_ema21_diff : 0.00554869
ema21_ema50_diff : -0.00503104
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.675881
kc_percentage : 1.09955
kc_width_percentage : 0.0244224

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 02:21:38	18 Apr 2025 02:45:00	23 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.674	2.6985	2.6372	1.5	0.865

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 2.674
Stop Loss: 2.6985
Take Profit: 2.6372

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.6985 - 2.674 = 0.0245
Récompense (distance jusqu'au take profit):

E - TP = 2.674 - 2.6372 = 0.0368
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0368 / 0.0245 = 1.502

📌 Position Size

Amount	Margin	Quantity	Leverage
872.0111	100	326.1074	8.72

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 0.0245

Taille de position = 8 / 0.0245 = 326.53

Taille de position USD = 326.53 x 2.674 = 873.14

Donc, tu peux acheter 326.53 avec un stoploss a 2.6985

Avec un position size USD de 873.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 326.53 x 0.0245 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 326.53 x 0.0368 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

Taille de position 326.53
Taille de position USD 873.14
Perte potentielle 8
Gain potentiel 12.02
Risk-Reward Ratio 1.502

📌 Peformances

TP % Target	TP $ Target
1.38 %	12 $

SL % Target	SL $ Target
0.92 %	7.99 $

PNL	PNL %
-8.15 $	-0.93

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.0097232610322 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
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    [1.1] => Array
        (
            [take_profit] => 2.637
            [entry_price] => 2.674
            [stop_loss] => 2.7015
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 02:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.637
            [entry_price] => 2.674
            [stop_loss] => 2.704
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 02:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.637
            [entry_price] => 2.674
            [stop_loss] => 2.7065
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 03:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.637
            [entry_price] => 2.674
            [stop_loss] => 2.7115
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 03:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.051
            [rr_ratio] => 0.22
            [high] => 2.72500000
            [low] => 2.66300000
            [mfe_pct] => 0.41
            [mae_pct] => 1.91
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T02:21:38-04:00
            [end_at] => 2025-04-18T04:21:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.19
            [rr_ratio] => 0.06
            [high] => 2.86400000
            [low] => 2.66300000
            [mfe_pct] => 0.41
            [mae_pct] => 7.11
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T02:21:38-04:00
            [end_at] => 2025-04-18T08:21:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.73900000
            [high_after] => 2.86400000
            [low_before] => 2.55400000
            [low_after] => 2.66300000
            [is_new_high] => 
            [is_new_low] => 
        )

)