Short Trade on ORCA

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Short Trade on ORCA 03 May 2025 at 16:08:40

Take profit at 2.718 (0.66 %) and Stop Loss at 2.748 (0.44 %)

Short Trade on ORCA

The 03 May 2025 at 16:08:40

With 668.2372 ORCA at 2.736$ per unit.

Position size of 1828.297 $

Take profit at 2.718 (0.66 %) and Stop Loss at 2.748 (0.44 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -90

ML Pullback Score: 1.64

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: 0.14
atr: 0.007981197824

Details

score: 1.14
1H
ema9 : 2.73711
ema21 : 2.75718
ema50 : 2.77944
price_ema9_diff : -0.000405411
ema9_ema21_diff : -0.00727986
ema21_ema50_diff : -0.00800777
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.457046
kc_percentage : 0.40746
kc_width_percentage : 0.0786457
15m
ema9 : 2.7166
ema21 : 2.72119
ema50 : 2.74395
price_ema9_diff : 0.00712904
ema9_ema21_diff : -0.00168918
ema21_ema50_diff : -0.00829229
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.524474
kc_percentage : 0.702742
kc_width_percentage : 0.0283957
5m
ema9 : 2.72849
ema21 : 2.71675
ema50 : 2.71618
price_ema9_diff : 0.00276267
ema9_ema21_diff : 0.00432002
ema21_ema50_diff : 0.000210856
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.644669
kc_percentage : 1.14256
kc_width_percentage : 0.0106182

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 16:08:40	03 May 2025 16:45:00	36 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.736	2.748	2.718	1.5	0.862

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: 2.748
Take Profit: 2.718

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.748 - 2.736 = 0.012
Récompense (distance jusqu'au take profit):

E - TP = 2.736 - 2.718 = 0.018
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.018 / 0.012 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1828.297	100	668.2372	18.28

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 0.012

Taille de position = 8 / 0.012 = 666.67

Taille de position USD = 666.67 x 2.736 = 1824.01

Donc, tu peux acheter 666.67 avec un stoploss a 2.748

Avec un position size USD de 1824.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 666.67 x 0.012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 666.67 x 0.018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 666.67
Taille de position USD 1824.01
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.66 %	12.03 $

SL % Target	SL $ Target
0.44 %	8.02 $

PNL	PNL %
-8.02 $	-0.44

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] => 2.718
            [entry_price] => 2.736
            [stop_loss] => 2.7492
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.718
            [entry_price] => 2.736
            [stop_loss] => 2.7504
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.718
            [entry_price] => 2.736
            [stop_loss] => 2.7516
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.718
            [entry_price] => 2.736
            [stop_loss] => 2.754
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-03 18:00:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.018
            [max_drawdown] => 0.016
            [rr_ratio] => 1.13
            [high] => 2.75200000
            [low] => 2.71800000
            [mfe_pct] => 0.66
            [mae_pct] => 0.58
            [mfe_mae_ratio] => 1.13
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T16:08:40-04:00
            [end_at] => 2025-05-03T18:08:40-04:00
        )

    [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] => 2025-05-03T16:08:40-04:00
            [end_at] => 2025-05-03T22:08:40-04:00
        )

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

)