Short Trade on ORCA

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Short Trade on ORCA 18 Apr 2025 at 02:51:35

Take profit at 2.6591 (1.26 %) and Stop Loss at 2.7156 (0.84 %)

Short Trade on ORCA

The 18 Apr 2025 at 02:51:35

With 353.7582 ORCA at 2.693$ per unit.

Position size of 952.6708 $

Take profit at 2.6591 (1.26 %) and Stop Loss at 2.7156 (0.84 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.71

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: 0.11
atr: 0.01507621167

Details

score: 1.11
1H
ema9 : 2.69171
ema21 : 2.76316
ema50 : 2.89627
price_ema9_diff : 0.000466792
ema9_ema21_diff : -0.0258605
ema21_ema50_diff : -0.0459588
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.41605
kc_percentage : 0.278399
kc_width_percentage : 0.108389
15m
ema9 : 2.65806
ema21 : 2.66656
ema50 : 2.71744
price_ema9_diff : 0.0131016
ema9_ema21_diff : -0.00318889
ema21_ema50_diff : -0.0187213
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.533005
kc_percentage : 0.731666
kc_width_percentage : 0.0454199
5m
ema9 : 2.67622
ema21 : 2.65642
ema50 : 2.65537
price_ema9_diff : 0.00631492
ema9_ema21_diff : 0.007452
ema21_ema50_diff : 0.000396151
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.683286
kc_percentage : 1.10613
kc_width_percentage : 0.0217179

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 02:51:35	18 Apr 2025 03:00:00	8 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.693	2.7156	2.6591	1.5	0.901

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 2.693
Stop Loss: 2.7156
Take Profit: 2.6591

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.7156 - 2.693 = 0.0226
Récompense (distance jusqu'au take profit):

E - TP = 2.693 - 2.6591 = 0.0339
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0339 / 0.0226 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
952.6708	100	353.7582	9.53

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 0.0226

Taille de position = 8 / 0.0226 = 353.98

Taille de position USD = 353.98 x 2.693 = 953.27

Donc, tu peux acheter 353.98 avec un stoploss a 2.7156

Avec un position size USD de 953.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 353.98 x 0.0226 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 353.98 x 0.0339 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 353.98
Taille de position USD 953.27
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.26 %	11.99 $

SL % Target	SL $ Target
0.84 %	7.99 $

PNL	PNL %
-8.14 $	-0.85

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.076865948756 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.659
            [entry_price] => 2.693
            [stop_loss] => 2.7183
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 03:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.659
            [entry_price] => 2.693
            [stop_loss] => 2.7206
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 03:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.659
            [entry_price] => 2.693
            [stop_loss] => 2.7229
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 03:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.659
            [entry_price] => 2.693
            [stop_loss] => 2.7275
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 06:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.025
            [max_drawdown] => 0.032
            [rr_ratio] => 0.78
            [high] => 2.72500000
            [low] => 2.66800000
            [mfe_pct] => 0.93
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 0.78
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T02:51:35-04:00
            [end_at] => 2025-04-18T04:51:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.025
            [max_drawdown] => 0.171
            [rr_ratio] => 0.15
            [high] => 2.86400000
            [low] => 2.66800000
            [mfe_pct] => 0.93
            [mae_pct] => 6.35
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T02:51:35-04:00
            [end_at] => 2025-04-18T08:51:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.70400000
            [high_after] => 2.86400000
            [low_before] => 2.55400000
            [low_after] => 2.66800000
            [is_new_high] => 
            [is_new_low] => 
        )

)