Short Trade on ORCA

Previous Trade Next Trade

Short Trade on ORCA 03 May 2025 at 16:31:57

Take profit at 2.7249 (0.55 %) and Stop Loss at 2.75 (0.36 %)

Short Trade on ORCA

The 03 May 2025 at 16:31:57

With 796.4305 ORCA at 2.74$ per unit.

Position size of 2182.2195 $

Take profit at 2.7249 (0.55 %) and Stop Loss at 2.75 (0.36 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -80

ML Pullback Score: 2.78

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: 0.05
atr: 0.006696546088

Details

score: 1.05
1H
ema9 : 2.73791
ema21 : 2.75755
ema50 : 2.7796
price_ema9_diff : 0.000755091
ema9_ema21_diff : -0.00712065
ema21_ema50_diff : -0.00793293
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.463206
kc_percentage : 0.425389
kc_width_percentage : 0.0796988
15m
ema9 : 2.72624
ema21 : 2.72515
ema50 : 2.74397
price_ema9_diff : 0.00504915
ema9_ema21_diff : 0.000399502
ema21_ema50_diff : -0.00686015
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.531932
kc_percentage : 0.728981
kc_width_percentage : 0.0246254
5m
ema9 : 2.73767
ema21 : 2.72651
ema50 : 2.72043
price_ema9_diff : 0.000853773
ema9_ema21_diff : 0.00409287
ema21_ema50_diff : 0.00223407
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.638397
kc_percentage : 1.04684
kc_width_percentage : 0.00852043

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 16:31:57	03 May 2025 16:45:00	13 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.74	2.75	2.7249	1.51	0.894

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 2.74
Stop Loss: 2.75
Take Profit: 2.7249

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.75 - 2.74 = 0.0099999999999998
Récompense (distance jusqu'au take profit):

E - TP = 2.74 - 2.7249 = 0.0151
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0151 / 0.0099999999999998 = 1.51

📌 Position Size

Amount	Margin	Quantity	Leverage
2182.2195	100	796.4305	21.82

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 0.0099999999999998

Taille de position = 8 / 0.0099999999999998 = 800

Taille de position USD = 800 x 2.74 = 2192

Donc, tu peux acheter 800 avec un stoploss a 2.75

Avec un position size USD de 2192$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 800 x 0.0099999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 800 x 0.0151 = 12.08

Si Take Profit atteint, tu gagneras 12.08$

Résumé

Taille de position 800
Taille de position USD 2192
Perte potentielle 8
Gain potentiel 12.08
Risk-Reward Ratio 1.51

📌 Peformances

TP % Target	TP $ Target
0.55 %	12.03 $

SL % Target	SL $ Target
0.36 %	7.96 $

PNL	PNL %
-7.96 $	-0.36

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.43795620437955 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.725
            [entry_price] => 2.74
            [stop_loss] => 2.751
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.725
            [entry_price] => 2.74
            [stop_loss] => 2.752
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-03 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.725
            [entry_price] => 2.74
            [stop_loss] => 2.753
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-03 17:55:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 2.725
            [entry_price] => 2.74
            [stop_loss] => 2.755
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-03 17:55:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 0.012
            [rr_ratio] => 2.42
            [high] => 2.75200000
            [low] => 2.71100000
            [mfe_pct] => 1.06
            [mae_pct] => 0.44
            [mfe_mae_ratio] => 2.42
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T16:31:57-04:00
            [end_at] => 2025-05-03T18:31:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.07
            [max_drawdown] => 0.05
            [rr_ratio] => 1.4
            [high] => 2.79000000
            [low] => 2.67000000
            [mfe_pct] => 2.55
            [mae_pct] => 1.82
            [mfe_mae_ratio] => 1.4
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T16:31:57-04:00
            [end_at] => 2025-05-03T22:31:57-04:00
        )

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

)