Long Trade on XLM

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Long Trade on XLM 23 Apr 2025 at 10:21:13

Take profit at 0.2702 (1.12 %) and Stop Loss at 0.2651 (0.79 %)

Long Trade on XLM

The 23 Apr 2025 at 10:21:13

With 3923.4018 XLM at 0.2672$ per unit.

Position size of 1048.2545 $

Take profit at 0.2702 (1.12 %) and Stop Loss at 0.2651 (0.79 %)

That's a 1.43 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.95

Prediction Score: -0.2742

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: 0.13
atr: 0.001359364541

Details

score: 2.13
1H
ema9 : 0.26973
ema21 : 0.26662
ema50 : 0.260548
price_ema9_diff : -0.00956477
ema9_ema21_diff : 0.0116649
ema21_ema50_diff : 0.0233014
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.54706
kc_percentage : 0.519359
kc_width_percentage : 0.0539232
15m
ema9 : 0.27053
ema21 : 0.27104
ema50 : 0.26934
price_ema9_diff : -0.0123633
ema9_ema21_diff : -0.00187936
ema21_ema50_diff : 0.00631034
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.352483
kc_percentage : 0.0402215
kc_width_percentage : 0.031558
5m
ema9 : 0.269412
ema21 : 0.270961
ema50 : 0.271566
price_ema9_diff : -0.00823813
ema9_ema21_diff : -0.00571898
ema21_ema50_diff : -0.00222687
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.321587
kc_percentage : -0.129001
kc_width_percentage : 0.0220905

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
23 Apr 2025 10:21:13	23 Apr 2025 11:15:00	53 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.2672	0.2651	0.2702	1.43	0.1618

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 0.2672
Stop Loss: 0.2651
Take Profit: 0.2702

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.2651 - 0.2672 = -0.0021
Récompense (distance jusqu'au take profit):

E - TP = 0.2672 - 0.2702 = -0.003
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.003 / -0.0021 = 1.4286

📌 Position Size

Amount	Margin	Quantity	Leverage
1048.2545	100	3923.4018	10.48

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 -0.0021

Taille de position = 8 / -0.0021 = -3809.52

Taille de position USD = -3809.52 x 0.2672 = -1017.9

Donc, tu peux acheter -3809.52 avec un stoploss a 0.2651

Avec un position size USD de -1017.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3809.52 x -0.0021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3809.52 x -0.003 = 11.43

Si Take Profit atteint, tu gagneras 11.43$

Résumé

Taille de position -3809.52
Taille de position USD -1017.9
Perte potentielle 8
Gain potentiel 11.43
Risk-Reward Ratio 1.4286

📌 Peformances

TP % Target	TP $ Target
1.12 %	11.77 $

SL % Target	SL $ Target
0.79 %	8.24 $

PNL	PNL %
-8.24 $	-0.79

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.8196107784431 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2702
            [entry_price] => 0.2672
            [stop_loss] => 0.26489
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-23 11:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2702
            [entry_price] => 0.2672
            [stop_loss] => 0.26468
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-23 11:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2702
            [entry_price] => 0.2672
            [stop_loss] => 0.26447
            [rr_ratio] => 1.1
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-23 11:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2702
            [entry_price] => 0.2672
            [stop_loss] => 0.26405
            [rr_ratio] => 0.95
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-23 11:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00203
            [max_drawdown] => 0.00398
            [rr_ratio] => 0.51
            [high] => 0.26923000
            [low] => 0.26322000
            [mfe_pct] => 0.76
            [mae_pct] => 1.49
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 24
            [start_at] => 2025-04-23T10:21:13-04:00
            [end_at] => 2025-04-23T12:21:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00361
            [max_drawdown] => 0.00398
            [rr_ratio] => 0.91
            [high] => 0.27081000
            [low] => 0.26322000
            [mfe_pct] => 1.35
            [mae_pct] => 1.49
            [mfe_mae_ratio] => 0.91
            [candles_analyzed] => 72
            [start_at] => 2025-04-23T10:21:13-04:00
            [end_at] => 2025-04-23T16:21:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27521000
            [high_after] => 0.27081000
            [low_before] => 0.26558000
            [low_after] => 0.26322000
            [is_new_high] => 
            [is_new_low] => 
        )

)