Short Trade on ORCA

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Short Trade on ORCA 03 May 2025 at 16:20:12

Take profit at 2.7251 (0.58 %) and Stop Loss at 2.7516 (0.39 %)

Short Trade on ORCA

The 03 May 2025 at 16:20:12

With 753.2461 ORCA at 2.741$ per unit.

Position size of 2064.6476 $

Take profit at 2.7251 (0.58 %) and Stop Loss at 2.7516 (0.39 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -60

ML Pullback Score: 3.05

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: 0.19
atr: 0.007080465905

Details

score: 1.19
1H
ema9 : 2.73811
ema21 : 2.75764
ema50 : 2.77964
price_ema9_diff : 0.00104516
ema9_ema21_diff : -0.00708086
ema21_ema50_diff : -0.00791422
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.464724
kc_percentage : 0.429532
kc_width_percentage : 0.0796697
15m
ema9 : 2.7226
ema21 : 2.72357
ema50 : 2.74409
price_ema9_diff : 0.00675568
ema9_ema21_diff : -0.000358158
ema21_ema50_diff : -0.00747892
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.535137
kc_percentage : 0.745293
kc_width_percentage : 0.0270272
5m
ema9 : 2.73526
ema21 : 2.7232
ema50 : 2.7185
price_ema9_diff : 0.00210679
ema9_ema21_diff : 0.0044269
ema21_ema50_diff : 0.00173072
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.664177
kc_percentage : 1.18762
kc_width_percentage : 0.00906871

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 16:20:12	03 May 2025 16:45:00	24 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.741	2.7516	2.7251	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 2.741
Stop Loss: 2.7516
Take Profit: 2.7251

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.7516 - 2.741 = 0.0106
Récompense (distance jusqu'au take profit):

E - TP = 2.741 - 2.7251 = 0.0159
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0159 / 0.0106 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2064.6476	100	753.2461	20.65

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 0.0106

Taille de position = 8 / 0.0106 = 754.72

Taille de position USD = 754.72 x 2.741 = 2068.69

Donc, tu peux acheter 754.72 avec un stoploss a 2.7516

Avec un position size USD de 2068.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 754.72 x 0.0106 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 754.72 x 0.0159 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 754.72
Taille de position USD 2068.69
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.58 %	11.98 $

SL % Target	SL $ Target
0.39 %	7.98 $

PNL	PNL %
-8.29 $	-0.40

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.40131338927398 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.725
            [entry_price] => 2.741
            [stop_loss] => 2.7531
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-03 17:55:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 2.725
            [entry_price] => 2.741
            [stop_loss] => 2.7542
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-03 17:55:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 2.725
            [entry_price] => 2.741
            [stop_loss] => 2.7553
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-03 17:55:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 2.725
            [entry_price] => 2.741
            [stop_loss] => 2.7575
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-03 17:55:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.03
            [max_drawdown] => 0.011
            [rr_ratio] => 2.73
            [high] => 2.75200000
            [low] => 2.71100000
            [mfe_pct] => 1.09
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 2.73
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T16:20:12-04:00
            [end_at] => 2025-05-03T18:20:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.071
            [max_drawdown] => 0.049
            [rr_ratio] => 1.45
            [high] => 2.79000000
            [low] => 2.67000000
            [mfe_pct] => 2.59
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 1.45
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T16:20:12-04:00
            [end_at] => 2025-05-03T22:20:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.74600000
            [high_after] => 2.79000000
            [low_before] => 2.66400000
            [low_after] => 2.67000000
            [is_new_high] => 
            [is_new_low] => 
        )

)