Long Trade on ORCA

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Long Trade on ORCA 14 Apr 2025 at 05:51:52

Take profit at 3.3308 (2.64 %) and Stop Loss at 3.1878 (1.76 %)

Long Trade on ORCA

The 14 Apr 2025 at 05:51:52

With 139.9078 ORCA at 3.245$ per unit.

Position size of 454.0009 $

Take profit at 3.3308 (2.64 %) and Stop Loss at 3.1878 (1.76 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.37

Prediction Score:

Prediction 1	Probability
Strong 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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.13
atr: 0.03812033152

Details

score: 2.13
1H
ema9 : 3.25166
ema21 : 3.13842
ema50 : 3.02966
price_ema9_diff : -0.00212358
ema9_ema21_diff : 0.0360822
ema21_ema50_diff : 0.0358994
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.570813
kc_percentage : 0.684606
kc_width_percentage : 0.168546
15m
ema9 : 3.33784
ema21 : 3.32186
ema50 : 3.20604
price_ema9_diff : -0.0279495
ema9_ema21_diff : 0.00481039
ema21_ema50_diff : 0.0361242
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.453035
kc_percentage : 0.231999
kc_width_percentage : 0.0927423
5m
ema9 : 3.31786
ema21 : 3.34248
ema50 : 3.34482
price_ema9_diff : -0.0217987
ema9_ema21_diff : -0.00736564
ema21_ema50_diff : -0.000700865
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.323002
kc_percentage : -0.132449
kc_width_percentage : 0.0468868

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
14 Apr 2025 05:51:52	14 Apr 2025 07:40:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3.245	3.1878	3.3308	1.5	0.903

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 3.245
Stop Loss: 3.1878
Take Profit: 3.3308

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3.1878 - 3.245 = -0.0572
Récompense (distance jusqu'au take profit):

E - TP = 3.245 - 3.3308 = -0.0858
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0858 / -0.0572 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
454.0009	100	139.9078	4.54

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 -0.0572

Taille de position = 8 / -0.0572 = -139.86

Taille de position USD = -139.86 x 3.245 = -453.85

Donc, tu peux acheter -139.86 avec un stoploss a 3.1878

Avec un position size USD de -453.85$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -139.86 x -0.0572 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -139.86 x -0.0858 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -139.86
Taille de position USD -453.85
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.64 %	12 $

SL % Target	SL $ Target
1.76 %	8 $

PNL	PNL %
-7.97 $	-1.76

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.1571648690293 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.331
            [entry_price] => 3.245
            [stop_loss] => 3.1823
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-14 07:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.331
            [entry_price] => 3.245
            [stop_loss] => 3.1766
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-14 07:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.331
            [entry_price] => 3.245
            [stop_loss] => 3.1709
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-14 08:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.331
            [entry_price] => 3.245
            [stop_loss] => 3.1595
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-14 08:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.082
            [max_drawdown] => 0.073
            [rr_ratio] => 1.12
            [high] => 3.32700000
            [low] => 3.17200000
            [mfe_pct] => 2.53
            [mae_pct] => 2.25
            [mfe_mae_ratio] => 1.12
            [candles_analyzed] => 24
            [start_at] => 2025-04-14T05:51:52-04:00
            [end_at] => 2025-04-14T07:51:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.082
            [max_drawdown] => 0.104
            [rr_ratio] => 0.79
            [high] => 3.32700000
            [low] => 3.14100000
            [mfe_pct] => 2.53
            [mae_pct] => 3.2
            [mfe_mae_ratio] => 0.79
            [candles_analyzed] => 72
            [start_at] => 2025-04-14T05:51:52-04:00
            [end_at] => 2025-04-14T11:51:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.53700000
            [high_after] => 3.32700000
            [low_before] => 3.23800000
            [low_after] => 3.14100000
            [is_new_high] => 
            [is_new_low] => 
        )

)