Long Trade on RAY

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Long Trade on RAY 25 Apr 2025 at 12:11:59

Take profit at 2.7234 (1.46 %) and Stop Loss at 2.6579 (0.98 %)

Long Trade on RAY

The 25 Apr 2025 at 12:11:59

With 305.3577 RAY at 2.6841$ per unit.

Position size of 819.6106 $

Take profit at 2.7234 (1.46 %) and Stop Loss at 2.6579 (0.98 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.76

Prediction Score: -9.103

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.08
atr: 0.01746585544

Details

score: 2.08
1H
ema9 : 2.71392
ema21 : 2.68065
ema50 : 2.61793
price_ema9_diff : -0.0111269
ema9_ema21_diff : 0.0124122
ema21_ema50_diff : 0.023957
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.519409
kc_percentage : 0.502463
kc_width_percentage : 0.0931203
15m
ema9 : 2.72517
ema21 : 2.73042
ema50 : 2.71032
price_ema9_diff : -0.0150442
ema9_ema21_diff : -0.00192167
ema21_ema50_diff : 0.00741576
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.408963
kc_percentage : 0.156944
kc_width_percentage : 0.0505832
5m
ema9 : 2.70526
ema21 : 2.72383
ema50 : 2.734
price_ema9_diff : -0.00777132
ema9_ema21_diff : -0.0068177
ema21_ema50_diff : -0.00371816
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.321028
kc_percentage : -0.0785123
kc_width_percentage : 0.0250005

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
25 Apr 2025 12:11:59	25 Apr 2025 12:15:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.6841	2.6579	2.7234	1.5	0.6045

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 2.6841
Stop Loss: 2.6579
Take Profit: 2.7234

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.6579 - 2.6841 = -0.0262
Récompense (distance jusqu'au take profit):

E - TP = 2.6841 - 2.7234 = -0.0393
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0393 / -0.0262 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
819.6106	100	305.3577	8.20

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 -0.0262

Taille de position = 8 / -0.0262 = -305.34

Taille de position USD = -305.34 x 2.6841 = -819.56

Donc, tu peux acheter -305.34 avec un stoploss a 2.6579

Avec un position size USD de -819.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -305.34 x -0.0262 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -305.34 x -0.0393 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -305.34
Taille de position USD -819.56
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.46 %	12 $

SL % Target	SL $ Target
0.98 %	8 $

PNL	PNL %
-7.94 $	-0.97

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.2518628912072 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.723
            [entry_price] => 2.684
            [stop_loss] => 2.6554
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-25 12:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.723
            [entry_price] => 2.684
            [stop_loss] => 2.6528
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-25 12:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.723
            [entry_price] => 2.684
            [stop_loss] => 2.6502
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-25 13:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.723
            [entry_price] => 2.684
            [stop_loss] => 2.645
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-25 13:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0308
            [max_drawdown] => 0.0503
            [rr_ratio] => 0.61
            [high] => 2.71490000
            [low] => 2.63380000
            [mfe_pct] => 1.15
            [mae_pct] => 1.87
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 24
            [start_at] => 2025-04-25T12:11:59-04:00
            [end_at] => 2025-04-25T14:11:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0308
            [max_drawdown] => 0.0681
            [rr_ratio] => 0.45
            [high] => 2.71490000
            [low] => 2.61600000
            [mfe_pct] => 1.15
            [mae_pct] => 2.54
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 72
            [start_at] => 2025-04-25T12:11:59-04:00
            [end_at] => 2025-04-25T18:11:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.80130000
            [high_after] => 2.71490000
            [low_before] => 2.67340000
            [low_after] => 2.61600000
            [is_new_high] => 
            [is_new_low] => 
        )

)