Long Trade on XVS

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Long Trade on XVS 03 May 2025 at 19:14:35

Take profit at 5.9396 (0.38 %) and Stop Loss at 5.9019 (0.26 %)

Long Trade on XVS

The 03 May 2025 at 19:14:35

With 530.7544 XVS at 5.917$ per unit.

Position size of 3140.474 $

Take profit at 5.9396 (0.38 %) and Stop Loss at 5.9019 (0.26 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.17

Prediction Score: 0

Prediction 1	Probability
Weak 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: 0.15
atr: 0.01004858934

Details

score: 2.15
1H
ema9 : 5.92971
ema21 : 5.91342
ema50 : 5.8883
price_ema9_diff : -0.00214997
ema9_ema21_diff : 0.0027553
ema21_ema50_diff : 0.00426529
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.515434
kc_percentage : 0.513875
kc_width_percentage : 0.0304367
15m
ema9 : 5.94283
ema21 : 5.94045
ema50 : 5.92383
price_ema9_diff : -0.00434835
ema9_ema21_diff : 0.000400044
ema21_ema50_diff : 0.00280515
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.422164
kc_percentage : 0.202677
kc_width_percentage : 0.0136369
5m
ema9 : 5.93503
ema21 : 5.94311
ema50 : 5.94329
price_ema9_diff : -0.00303507
ema9_ema21_diff : -0.00135979
ema21_ema50_diff : -2.99886E-5
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.308123
kc_percentage : -0.15481
kc_width_percentage : 0.00665055

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 19:14:35	03 May 2025 19:25:00	10 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
5.917	5.9019	5.9396	1.5	3.024

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 5.917
Stop Loss: 5.9019
Take Profit: 5.9396

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 5.9019 - 5.917 = -0.015099999999999
Récompense (distance jusqu'au take profit):

E - TP = 5.917 - 5.9396 = -0.022600000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.022600000000001 / -0.015099999999999 = 1.4967

📌 Position Size

Amount	Margin	Quantity	Leverage
3140.474	100	530.7544	31.40

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 -0.015099999999999

Taille de position = 8 / -0.015099999999999 = -529.8

Taille de position USD = -529.8 x 5.917 = -3134.83

Donc, tu peux acheter -529.8 avec un stoploss a 5.9019

Avec un position size USD de -3134.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -529.8 x -0.015099999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -529.8 x -0.022600000000001 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

Taille de position -529.8
Taille de position USD -3134.83
Perte potentielle 8
Gain potentiel 11.97
Risk-Reward Ratio 1.4967

📌 Peformances

TP % Target	TP $ Target
0.38 %	12 $

SL % Target	SL $ Target
0.26 %	8.01 $

PNL	PNL %
-7.96 $	-0.25

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.422511407808 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.94
            [entry_price] => 5.917
            [stop_loss] => 5.9005
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-03 19:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.94
            [entry_price] => 5.917
            [stop_loss] => 5.899
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-03 19:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.94
            [entry_price] => 5.917
            [stop_loss] => 5.8975
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-03 19:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.94
            [entry_price] => 5.917
            [stop_loss] => 5.8945
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-03 19:25:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.014
            [max_drawdown] => 0.118
            [rr_ratio] => 0.12
            [high] => 5.93100000
            [low] => 5.79900000
            [mfe_pct] => 0.24
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T19:14:35-04:00
            [end_at] => 2025-05-03T21:14:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.014
            [max_drawdown] => 0.118
            [rr_ratio] => 0.12
            [high] => 5.93100000
            [low] => 5.79900000
            [mfe_pct] => 0.24
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T19:14:35-04:00
            [end_at] => 2025-05-04T01:14:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.96900000
            [high_after] => 5.93100000
            [low_before] => 5.91600000
            [low_after] => 5.79900000
            [is_new_high] => 
            [is_new_low] => 
        )

)