Long Trade on VOXEL

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Long Trade on VOXEL 20 Apr 2025 at 09:51:40

Take profit at 0.118 (7.18 %) and Stop Loss at 0.1049 (4.72 %)

Long Trade on VOXEL

The 20 Apr 2025 at 09:51:40

With 1525.9425 VOXEL at 0.1101$ per unit.

Position size of 168.0826 $

Take profit at 0.118 (7.18 %) and Stop Loss at 0.1049 (4.72 %)

That's a 1.52 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.06

Prediction Score: -7.7007

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: 0.05
atr: 0.003495107709

Details

score: 2.05
1H
ema9 : 0.115365
ema21 : 0.0986133
ema50 : 0.0714636
price_ema9_diff : -0.0528895
ema9_ema21_diff : 0.169878
ema21_ema50_diff : 0.379909
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.625104
kc_percentage : 0.655065
kc_width_percentage : 0.596104
15m
ema9 : 0.117778
ema21 : 0.119231
ema50 : 0.111347
price_ema9_diff : -0.0639802
ema9_ema21_diff : -0.0121904
ema21_ema50_diff : 0.0708066
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.403959
kc_percentage : 0.188415
kc_width_percentage : 0.265716
5m
ema9 : 0.115304
ema21 : 0.117847
ema50 : 0.119559
price_ema9_diff : -0.0437415
ema9_ema21_diff : -0.0215727
ema21_ema50_diff : -0.0143225
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.296682
kc_percentage : -0.0501937
kc_width_percentage : 0.125038

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
20 Apr 2025 09:51:40	20 Apr 2025 10:00:00	8 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1101	0.1049	0.118	1.52	0.03017

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 0.1101
Stop Loss: 0.1049
Take Profit: 0.118

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1049 - 0.1101 = -0.0052
Récompense (distance jusqu'au take profit):

E - TP = 0.1101 - 0.118 = -0.0079
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0079 / -0.0052 = 1.5192

📌 Position Size

Amount	Margin	Quantity	Leverage
168.0826	100	1525.9425	1.68

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 -0.0052

Taille de position = 8 / -0.0052 = -1538.46

Taille de position USD = -1538.46 x 0.1101 = -169.38

Donc, tu peux acheter -1538.46 avec un stoploss a 0.1049

Avec un position size USD de -169.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1538.46 x -0.0052 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1538.46 x -0.0079 = 12.15

Si Take Profit atteint, tu gagneras 12.15$

Résumé

Taille de position -1538.46
Taille de position USD -169.38
Perte potentielle 8
Gain potentiel 12.15
Risk-Reward Ratio 1.5192

📌 Peformances

TP % Target	TP $ Target
7.18 %	12.05 $

SL % Target	SL $ Target
4.72 %	7.93 $

PNL	PNL %
-7.94 $	-4.72

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-12.861035422343 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.118
            [entry_price] => 0.1101
            [stop_loss] => 0.10438
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-20 10:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.118
            [entry_price] => 0.1101
            [stop_loss] => 0.10386
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-20 10:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.118
            [entry_price] => 0.1101
            [stop_loss] => 0.10334
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-20 10:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.118
            [entry_price] => 0.1101
            [stop_loss] => 0.1023
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-20 10:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00122
            [max_drawdown] => 0.02266
            [rr_ratio] => 0.05
            [high] => 0.11132000
            [low] => 0.08744000
            [mfe_pct] => 1.11
            [mae_pct] => 20.58
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T09:51:40-04:00
            [end_at] => 2025-04-20T11:51:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00122
            [max_drawdown] => 0.02937
            [rr_ratio] => 0.04
            [high] => 0.11132000
            [low] => 0.08073000
            [mfe_pct] => 1.11
            [mae_pct] => 26.68
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T09:51:40-04:00
            [end_at] => 2025-04-20T15:51:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12723000
            [high_after] => 0.11132000
            [low_before] => 0.10667000
            [low_after] => 0.08073000
            [is_new_high] => 
            [is_new_low] => 
        )

)