Short Trade on VINE

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Short Trade on VINE 12 Apr 2025 at 08:21:46

Take profit at 0.03639 (1.99 %) and Stop Loss at 0.03762 (1.32 %)

Short Trade on VINE

The 12 Apr 2025 at 08:21:46

With 16240.3579 VINE at 0.03713$ per unit.

Position size of 603.0045 $

Take profit at 0.03639 (1.99 %) and Stop Loss at 0.03762 (1.32 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.18

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.07
atr: 0.0003283999871

Details

score: 1.07
1H
ema9 : 0.037058
ema21 : 0.0379608
ema50 : 0.038039
price_ema9_diff : 0.00189542
ema9_ema21_diff : -0.0237827
ema21_ema50_diff : -0.00205478
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.457822
kc_percentage : 0.377209
kc_width_percentage : 0.170723
15m
ema9 : 0.0364374
ema21 : 0.0365685
ema50 : 0.037419
price_ema9_diff : 0.0189391
ema9_ema21_diff : -0.00358634
ema21_ema50_diff : -0.0227284
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.54507
kc_percentage : 0.738438
kc_width_percentage : 0.0662881
5m
ema9 : 0.0366436
ema21 : 0.0363536
ema50 : 0.0363779
price_ema9_diff : 0.0133794
ema9_ema21_diff : 0.00797607
ema21_ema50_diff : -0.0006673
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.691246
kc_percentage : 1.07078
kc_width_percentage : 0.0360988

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
12 Apr 2025 08:21:46	12 Apr 2025 10:00:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03713	0.03762	0.03639	1.51	0.01598

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 0.03713
Stop Loss: 0.03762
Take Profit: 0.03639

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.03762 - 0.03713 = 0.00049
Récompense (distance jusqu'au take profit):

E - TP = 0.03713 - 0.03639 = 0.00074
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00074 / 0.00049 = 1.5102

📌 Position Size

Amount	Margin	Quantity	Leverage
603.0045	100	16240.3579	6.03

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 0.00049

Taille de position = 8 / 0.00049 = 16326.53

Taille de position USD = 16326.53 x 0.03713 = 606.2

Donc, tu peux acheter 16326.53 avec un stoploss a 0.03762

Avec un position size USD de 606.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16326.53 x 0.00049 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16326.53 x 0.00074 = 12.08

Si Take Profit atteint, tu gagneras 12.08$

Résumé

Taille de position 16326.53
Taille de position USD 606.2
Perte potentielle 8
Gain potentiel 12.08
Risk-Reward Ratio 1.5102

📌 Peformances

TP % Target	TP $ Target
1.99 %	12.02 $

SL % Target	SL $ Target
1.32 %	7.96 $

PNL	PNL %
-7.96 $	-1.32

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.427417182871 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03639
            [entry_price] => 0.03713
            [stop_loss] => 0.037669
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-12 10:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03639
            [entry_price] => 0.03713
            [stop_loss] => 0.037718
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-12 10:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03639
            [entry_price] => 0.03713
            [stop_loss] => 0.037767
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-12 10:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03639
            [entry_price] => 0.03713
            [stop_loss] => 0.037865
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-12 10:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00026
            [max_drawdown] => 0.00121
            [rr_ratio] => 0.21
            [high] => 0.03834000
            [low] => 0.03687000
            [mfe_pct] => 0.7
            [mae_pct] => 3.26
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2025-04-12T08:21:46-04:00
            [end_at] => 2025-04-12T10:21:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00026
            [max_drawdown] => 0.01087
            [rr_ratio] => 0.02
            [high] => 0.04800000
            [low] => 0.03687000
            [mfe_pct] => 0.7
            [mae_pct] => 29.28
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 72
            [start_at] => 2025-04-12T08:21:46-04:00
            [end_at] => 2025-04-12T14:21:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03791000
            [high_after] => 0.04800000
            [low_before] => 0.03506000
            [low_after] => 0.03687000
            [is_new_high] => 
            [is_new_low] => 
        )

)