Long Trade on MEW

The 26 Apr 2025 at 04:42:30

With 345832.9218 MEW at 0.002934$ per unit.

Position size of 1014.6738 $

Take profit at 0.002969 (1.19 %) and Stop Loss at 0.002911 (0.78 %)

That's a 1.52 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.21

Prediction Score: -1.6948

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: 0.02
atr: 1.54217051E-5

Details

score: 2.02
1H
ema9 - 0.00293942
ema21 - 0.00288792
ema50 - 0.00281566
price_ema9_diff - -0.00187803
ema9_ema21_diff - 0.0178327
ema21_ema50_diff - 0.0256624
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.565447
kc_percentage - 0.665344
kc_width_percentage - 0.0873072
15m
ema9 - 0.0029675
ema21 - 0.00296245
ema50 - 0.00292486
price_ema9_diff - -0.011309
ema9_ema21_diff - 0.00170449
ema21_ema50_diff - 0.0128511
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.458677
kc_percentage - 0.250848
kc_width_percentage - 0.0403632
5m
ema9 - 0.00295706
ema21 - 0.00296767
ema50 - 0.00296714
price_ema9_diff - -0.00777331
ema9_ema21_diff - -0.00357254
ema21_ema50_diff - 0.000177931
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.369978
kc_percentage - -0.0159346
kc_width_percentage - 0.0219614

📌 Time Data

Start at	Closed at	Duration
26 Apr 2025 04:42:30	26 Apr 2025 05:30:00	47 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.002934	0.002911	0.002969	1.52	0.000964

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 0.002934
Stop Loss: 0.002911
Take Profit: 0.002969

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.002911 - 0.002934 = -2.3E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.002934 - 0.002969 = -3.5E-5
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -3.5E-5 / -2.3E-5 = 1.5217

📌 Position Size

Amount	Margin	Quantity	Leverage
1014.6738	100	345832.9218	10.15

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 -2.3E-5

Taille de position = 8 / -2.3E-5 = -347826.09

Taille de position USD = -347826.09 x 0.002934 = -1020.52

Donc, tu peux acheter -347826.09 avec un stoploss a 0.002911

Avec un position size USD de -1020.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -347826.09 x -2.3E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -347826.09 x -3.5E-5 = 12.17

Si Take Profit atteint, tu gagneras 12.17$

Résumé

Taille de position -347826.09
Taille de position USD -1020.52
Perte potentielle 8
Gain potentiel 12.17
Risk-Reward Ratio 1.5217

📌 Peformances

TP % Target	TP $ Target
1.19 %	12.1 $

SL % Target	SL $ Target
0.78 %	7.95 $

PNL	PNL %
-7.95 $	-0.78

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.98841172460804 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.002969
            [entry_price] => 0.002934
            [stop_loss] => 0.0029087
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-26 05:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.002969
            [entry_price] => 0.002934
            [stop_loss] => 0.0029064
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-26 05:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.002969
            [entry_price] => 0.002934
            [stop_loss] => 0.0029041
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-26 05:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.002969
            [entry_price] => 0.002934
            [stop_loss] => 0.0028995
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-26 05:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.2E-5
            [max_drawdown] => 5.7E-5
            [rr_ratio] => 0.21
            [high] => 0.00294600
            [low] => 0.00287700
            [mfe_pct] => 0.41
            [mae_pct] => 1.94
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2025-04-26T04:42:30-04:00
            [end_at] => 2025-04-26T06:42:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.2E-5
            [max_drawdown] => 0.000163
            [rr_ratio] => 0.07
            [high] => 0.00294600
            [low] => 0.00277100
            [mfe_pct] => 0.41
            [mae_pct] => 5.56
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 72
            [start_at] => 2025-04-26T04:42:30-04:00
            [end_at] => 2025-04-26T10:42:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00302100
            [high_after] => 0.00294600
            [low_before] => 0.00290000
            [low_after] => 0.00277100
            [is_new_high] => 
            [is_new_low] => 
        )

)