Long Trade on ENA

The 11 May 2025 at 00:40:48

With 1609.2224 ENA at 0.4084$ per unit.

Position size of 657.2064 $

Take profit at 0.4159 (1.84 %) and Stop Loss at 0.4034 (1.22 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.24

Prediction Score: -7.1303

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
5m : 0.490273

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.07
atr: 0.003314230168

Details

score: 2.07
1H
ema9 - 0.410524
ema21 - 0.399076
ema50 - 0.377251
price_ema9_diff - -0.00532442
ema9_ema21_diff - 0.0286871
ema21_ema50_diff - 0.0578522
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.603386
kc_percentage - 0.655135
kc_width_percentage - 0.133686
15m
ema9 - 0.416216
ema21 - 0.416312
ema50 - 0.407843
price_ema9_diff - -0.0187749
ema9_ema21_diff - -0.000230934
ema21_ema50_diff - 0.0207642
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.446686
kc_percentage - 0.238437
kc_width_percentage - 0.0759408
5m
ema9 - 0.41242
ema21 - 0.415434
ema50 - 0.416743
price_ema9_diff - -0.00967799
ema9_ema21_diff - -0.00725464
ema21_ema50_diff - -0.00314184
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.364848
kc_percentage - -0.0672468
kc_width_percentage - 0.0296587
btc_indicators
btc_indicators
5m_ema100: 103922
5m_price_ema100_diff: 0.00195253
5m_price: 104125
5m_correlation_with_coin: 0.490273
btc_indicators
15m_ema100: 103630
15m_price_ema100_diff: 0.00477788
15m_price: 104125
btc_indicators
1H_ema100: 101620
1H_price_ema100_diff: 0.024658
1H_price: 104125

📌 Time Data

Start at	Closed at	Duration
11 May 2025 00:40:48	11 May 2025 02:00:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.4084	0.4034	0.4159	1.5	0.2379

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 0.4084
Stop Loss: 0.4034
Take Profit: 0.4159

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.4034 - 0.4084 = -0.005
Récompense (distance jusqu'au take profit):

E - TP = 0.4084 - 0.4159 = -0.0075
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0075 / -0.005 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
657.2064	100	1609.2224	6.57

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 -0.005

Taille de position = 8 / -0.005 = -1600

Taille de position USD = -1600 x 0.4084 = -653.44

Donc, tu peux acheter -1600 avec un stoploss a 0.4034

Avec un position size USD de -653.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1600 x -0.005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1600 x -0.0075 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -1600
Taille de position USD -653.44
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.84 %	12.07 $

SL % Target	SL $ Target
1.22 %	8.05 $

PNL	PNL %
-8.05 $	-1.22

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.4201762977473 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4159
            [entry_price] => 0.4084
            [stop_loss] => 0.4029
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-11 02:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4159
            [entry_price] => 0.4084
            [stop_loss] => 0.4024
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-11 02:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4159
            [entry_price] => 0.4084
            [stop_loss] => 0.4019
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-11 02:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4159
            [entry_price] => 0.4084
            [stop_loss] => 0.4009
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.0089
            [rr_ratio] => 0.22
            [high] => 0.41040000
            [low] => 0.39950000
            [mfe_pct] => 0.49
            [mae_pct] => 2.18
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2025-05-11T00:40:48-04:00
            [end_at] => 2025-05-11T02:40:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.0205
            [rr_ratio] => 0.1
            [high] => 0.41040000
            [low] => 0.38790000
            [mfe_pct] => 0.49
            [mae_pct] => 5.02
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 72
            [start_at] => 2025-05-11T00:40:48-04:00
            [end_at] => 2025-05-11T06:40:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.43570000
            [high_after] => 0.41040000
            [low_before] => 0.40780000
            [low_after] => 0.38790000
            [is_new_high] => 
            [is_new_low] => 
        )

)