Long Trade on VINE

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Long Trade on VINE 10 May 2025 at 14:42:57

Take profit at 0.05761 (2.4 %) and Stop Loss at 0.05536 (1.6 %)

Long Trade on VINE

The 10 May 2025 at 14:42:57

With 8881.0878 VINE at 0.05626$ per unit.

Position size of 499.65 $

Take profit at 0.05761 (2.4 %) and Stop Loss at 0.05536 (1.6 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.71

Prediction Score: 1

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
0	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: 0.0006005270356

Details

score: 2.01
1H
ema9 : 0.056741
ema21 : 0.0551502
ema50 : 0.0508224
price_ema9_diff : -0.00872247
ema9_ema21_diff : 0.0288451
ema21_ema50_diff : 0.0851549
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.560576
kc_percentage : 0.582736
kc_width_percentage : 0.204645
15m
ema9 : 0.0572978
ema21 : 0.0571151
ema50 : 0.0565146
price_ema9_diff : -0.0181706
ema9_ema21_diff : 0.00319786
ema21_ema50_diff : 0.0106264
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.452982
kc_percentage : 0.310278
kc_width_percentage : 0.08163
5m
ema9 : 0.0571465
ema21 : 0.0574239
ema50 : 0.0572482
price_ema9_diff : -0.0154386
ema9_ema21_diff : -0.00483147
ema21_ema50_diff : 0.00307015
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.370914
kc_percentage : -0.00561575
kc_width_percentage : 0.0407555

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 May 2025 14:42:57	10 May 2025 17:05:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.05626	0.05536	0.05761	1.5	0.01647

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 0.05626
Stop Loss: 0.05536
Take Profit: 0.05761

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.05536 - 0.05626 = -0.0009
Récompense (distance jusqu'au take profit):

E - TP = 0.05626 - 0.05761 = -0.00135
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00135 / -0.0009 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
499.65	100	8881.0878	5.00

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 -0.0009

Taille de position = 8 / -0.0009 = -8888.89

Taille de position USD = -8888.89 x 0.05626 = -500.09

Donc, tu peux acheter -8888.89 avec un stoploss a 0.05536

Avec un position size USD de -500.09$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8888.89 x -0.0009 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8888.89 x -0.00135 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -8888.89
Taille de position USD -500.09
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.4 %	11.99 $

SL % Target	SL $ Target
1.6 %	7.99 $

PNL	PNL %
-7.99 $	-1.60

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.8130110202631 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05761
            [entry_price] => 0.05626
            [stop_loss] => 0.05527
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-10 17:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05761
            [entry_price] => 0.05626
            [stop_loss] => 0.05518
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-10 17:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05761
            [entry_price] => 0.05626
            [stop_loss] => 0.05509
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-10 17:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05761
            [entry_price] => 0.05626
            [stop_loss] => 0.05491
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-10 17:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00027
            [max_drawdown] => 0.00079
            [rr_ratio] => 0.34
            [high] => 0.05653000
            [low] => 0.05547000
            [mfe_pct] => 0.48
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 24
            [start_at] => 2025-05-10T14:42:57-04:00
            [end_at] => 2025-05-10T16:42:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00336
            [max_drawdown] => 0.0014
            [rr_ratio] => 2.4
            [high] => 0.05962000
            [low] => 0.05486000
            [mfe_pct] => 5.97
            [mae_pct] => 2.49
            [mfe_mae_ratio] => 2.4
            [candles_analyzed] => 72
            [start_at] => 2025-05-10T14:42:57-04:00
            [end_at] => 2025-05-10T20:42:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05977000
            [high_after] => 0.05962000
            [low_before] => 0.05530000
            [low_after] => 0.05486000
            [is_new_high] => 
            [is_new_low] => 
        )

)