Short Trade on VINE

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Short Trade on VINE 12 Apr 2025 at 08:51:47

Take profit at 0.03676 (1.79 %) and Stop Loss at 0.03788 (1.2 %)

Short Trade on VINE

The 12 Apr 2025 at 08:51:47

With 17887.9127 VINE at 0.03743$ per unit.

Position size of 669.5446 $

Take profit at 0.03676 (1.79 %) and Stop Loss at 0.03788 (1.2 %)

That's a 1.49 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.26

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: 0.05
atr: 0.0002981529153

Details

score: 1.05
1H
ema9 : 0.037118
ema21 : 0.0379881
ema50 : 0.0380507
price_ema9_diff : 0.00821183
ema9_ema21_diff : -0.0229041
ema21_ema50_diff : -0.00164659
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.469613
kc_percentage : 0.420926
kc_width_percentage : 0.171278
15m
ema9 : 0.0367701
ema21 : 0.036705
ema50 : 0.0374139
price_ema9_diff : 0.0179781
ema9_ema21_diff : 0.00177179
ema21_ema50_diff : -0.0189456
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.575823
kc_percentage : 0.832155
kc_width_percentage : 0.0594826
5m
ema9 : 0.0371438
ema21 : 0.0367666
ema50 : 0.0365656
price_ema9_diff : 0.00778306
ema9_ema21_diff : 0.0102593
ema21_ema50_diff : 0.00549666
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.718294
kc_percentage : 1.05243
kc_width_percentage : 0.0310331

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
12 Apr 2025 08:51:47	12 Apr 2025 10:05:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03743	0.03788	0.03676	1.49	0.01677

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 0.03743
Stop Loss: 0.03788
Take Profit: 0.03676

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.03788 - 0.03743 = 0.00045
Récompense (distance jusqu'au take profit):

E - TP = 0.03743 - 0.03676 = 0.00067
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00067 / 0.00045 = 1.4889

📌 Position Size

Amount	Margin	Quantity	Leverage
669.5446	100	17887.9127	6.70

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 0.00045

Taille de position = 8 / 0.00045 = 17777.78

Taille de position USD = 17777.78 x 0.03743 = 665.42

Donc, tu peux acheter 17777.78 avec un stoploss a 0.03788

Avec un position size USD de 665.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17777.78 x 0.00045 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17777.78 x 0.00067 = 11.91

Si Take Profit atteint, tu gagneras 11.91$

Résumé

Taille de position 17777.78
Taille de position USD 665.42
Perte potentielle 8
Gain potentiel 11.91
Risk-Reward Ratio 1.4889

📌 Peformances

TP % Target	TP $ Target
1.79 %	11.98 $

SL % Target	SL $ Target
1.2 %	8.05 $

PNL	PNL %
-8.05 $	-1.20

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.2556772642266 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03676
            [entry_price] => 0.03743
            [stop_loss] => 0.037925
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-12 10:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03676
            [entry_price] => 0.03743
            [stop_loss] => 0.03797
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-12 10:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03676
            [entry_price] => 0.03743
            [stop_loss] => 0.038015
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-12 10:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03676
            [entry_price] => 0.03743
            [stop_loss] => 0.038105
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-12 10:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00056
            [max_drawdown] => 0.0019
            [rr_ratio] => 0.29
            [high] => 0.03933000
            [low] => 0.03687000
            [mfe_pct] => 1.5
            [mae_pct] => 5.08
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 24
            [start_at] => 2025-04-12T08:51:47-04:00
            [end_at] => 2025-04-12T10:51:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00056
            [max_drawdown] => 0.01057
            [rr_ratio] => 0.05
            [high] => 0.04800000
            [low] => 0.03687000
            [mfe_pct] => 1.5
            [mae_pct] => 28.24
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 72
            [start_at] => 2025-04-12T08:51:47-04:00
            [end_at] => 2025-04-12T14:51:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03767000
            [high_after] => 0.04800000
            [low_before] => 0.03506000
            [low_after] => 0.03687000
            [is_new_high] => 
            [is_new_low] => 
        )

)