Long Trade on VIRTUAL

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Long Trade on VIRTUAL 12 Apr 2025 at 22:01:50

Take profit at 0.6005 (1.87 %) and Stop Loss at 0.5822 (1.24 %)

Long Trade on VIRTUAL

The 12 Apr 2025 at 22:01:50

With 1095.8053 VIRTUAL at 0.5895$ per unit.

Position size of 645.9773 $

Take profit at 0.6005 (1.87 %) and Stop Loss at 0.5822 (1.24 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.79

Prediction Score:

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: 0.01
atr: 0.004867044438

Details

score: 2.01
1H
ema9 : 0.59575
ema21 : 0.582532
ema50 : 0.550473
price_ema9_diff : -0.01073
ema9_ema21_diff : 0.0226908
ema21_ema50_diff : 0.0582396
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.574492
kc_percentage : 0.583629
kc_width_percentage : 0.116059
15m
ema9 : 0.5983
ema21 : 0.601698
ema50 : 0.595138
price_ema9_diff : -0.0146263
ema9_ema21_diff : -0.0056472
ema21_ema50_diff : 0.0110221
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.399965
kc_percentage : 0.148251
kc_width_percentage : 0.0587783
5m
ema9 : 0.593912
ema21 : 0.599291
ema50 : 0.603928
price_ema9_diff : -0.00736304
ema9_ema21_diff : -0.0089751
ema21_ema50_diff : -0.00767811
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.328008
kc_percentage : -0.0140373
kc_width_percentage : 0.0312398

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
12 Apr 2025 22:01:50	13 Apr 2025 00:15:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.5895	0.5822	0.6005	1.51	0.702

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 0.5895
Stop Loss: 0.5822
Take Profit: 0.6005

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.5822 - 0.5895 = -0.0073
Récompense (distance jusqu'au take profit):

E - TP = 0.5895 - 0.6005 = -0.011
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.011 / -0.0073 = 1.5068

📌 Position Size

Amount	Margin	Quantity	Leverage
645.9773	100	1095.8053	6.46

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 -0.0073

Taille de position = 8 / -0.0073 = -1095.89

Taille de position USD = -1095.89 x 0.5895 = -646.03

Donc, tu peux acheter -1095.89 avec un stoploss a 0.5822

Avec un position size USD de -646.03$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1095.89 x -0.0073 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1095.89 x -0.011 = 12.05

Si Take Profit atteint, tu gagneras 12.05$

Résumé

Taille de position -1095.89
Taille de position USD -646.03
Perte potentielle 8
Gain potentiel 12.05
Risk-Reward Ratio 1.5068

📌 Peformances

TP % Target	TP $ Target
1.87 %	12.05 $

SL % Target	SL $ Target
1.24 %	8 $

PNL	PNL %
-8 $	-1.24

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.2383375742154 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.6005
            [entry_price] => 0.5895
            [stop_loss] => 0.58147
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-13 03:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.6005
            [entry_price] => 0.5895
            [stop_loss] => 0.58074
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-13 03:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.6005
            [entry_price] => 0.5895
            [stop_loss] => 0.58001
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-13 03:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.6005
            [entry_price] => 0.5895
            [stop_loss] => 0.57855
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-13 04:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0041
            [max_drawdown] => 0.0055000000000001
            [rr_ratio] => 0.75
            [high] => 0.59360000
            [low] => 0.58400000
            [mfe_pct] => 0.7
            [mae_pct] => 0.93
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 24
            [start_at] => 2025-04-12T22:01:50-04:00
            [end_at] => 2025-04-13T00:01:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0041
            [max_drawdown] => 0.0129
            [rr_ratio] => 0.32
            [high] => 0.59360000
            [low] => 0.57660000
            [mfe_pct] => 0.7
            [mae_pct] => 2.19
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 72
            [start_at] => 2025-04-12T22:01:50-04:00
            [end_at] => 2025-04-13T04:01:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.63610000
            [high_after] => 0.59360000
            [low_before] => 0.58680000
            [low_after] => 0.57660000
            [is_new_high] => 
            [is_new_low] => 
        )

)