Short Trade on ENA

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Short Trade on ENA 04 May 2025 at 11:07:10

Take profit at 0.2894 (0.69 %) and Stop Loss at 0.2927 (0.45 %)

Short Trade on ENA

The 04 May 2025 at 11:07:10

With 6003.2272 ENA at 0.2914$ per unit.

Position size of 1749.3404 $

Take profit at 0.2894 (0.69 %) and Stop Loss at 0.2927 (0.45 %)

That's a 1.54 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 90

ML Pullback Score: 6

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.06
atr: 0.0008884110487

Details

score: 1.06
1H
ema9 : 0.290192
ema21 : 0.291913
ema50 : 0.297687
price_ema9_diff : 0.00413524
ema9_ema21_diff : -0.00589527
ema21_ema50_diff : -0.0193954
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.463077
kc_percentage : 0.475973
kc_width_percentage : 0.0477135
15m
ema9 : 0.289467
ema21 : 0.28949
ema50 : 0.290461
price_ema9_diff : 0.00667682
ema9_ema21_diff : -8.01935E-5
ema21_ema50_diff : -0.00334375
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.572928
kc_percentage : 0.7883
kc_width_percentage : 0.0230429
5m
ema9 : 0.290214
ema21 : 0.289411
ema50 : 0.289315
price_ema9_diff : 0.0040975
ema9_ema21_diff : 0.00277382
ema21_ema50_diff : 0.000332407
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.645412
kc_percentage : 1.06203
kc_width_percentage : 0.0119347

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 11:07:10	04 May 2025 11:25:00	17 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.2914	0.2927	0.2894	1.54	0.1036

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 0.2914
Stop Loss: 0.2927
Take Profit: 0.2894

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.2927 - 0.2914 = 0.0013
Récompense (distance jusqu'au take profit):

E - TP = 0.2914 - 0.2894 = 0.002
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.002 / 0.0013 = 1.5385

📌 Position Size

Amount	Margin	Quantity	Leverage
1749.3404	100	6003.2272	17.49

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 0.0013

Taille de position = 8 / 0.0013 = 6153.85

Taille de position USD = 6153.85 x 0.2914 = 1793.23

Donc, tu peux acheter 6153.85 avec un stoploss a 0.2927

Avec un position size USD de 1793.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6153.85 x 0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6153.85 x 0.002 = 12.31

Si Take Profit atteint, tu gagneras 12.31$

Résumé

Taille de position 6153.85
Taille de position USD 1793.23
Perte potentielle 8
Gain potentiel 12.31
Risk-Reward Ratio 1.5385

📌 Peformances

TP % Target	TP $ Target
0.69 %	12.01 $

SL % Target	SL $ Target
0.45 %	7.8 $

PNL	PNL %
12.01 $	0.69

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

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2888
            [stop_loss] => 0.2927
            [rr_ratio] => 2
            [closed_at] => 2025-05-04 11:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.28815
            [stop_loss] => 0.2927
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-04 11:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2875
            [stop_loss] => 0.2927
            [rr_ratio] => 3
            [closed_at] => 2025-05-04 12:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.28685
            [stop_loss] => 0.2927
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-04 12:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2862
            [stop_loss] => 0.2927
            [rr_ratio] => 4
            [closed_at] => 2025-05-04 13:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.28555
            [stop_loss] => 0.2927
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-04 13:25:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0049
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.29110000
            [low] => 0.28650000
            [mfe_pct] => 1.68
            [mae_pct] => -0.1
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T11:07:10-04:00
            [end_at] => 2025-05-04T13:07:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0061
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.29120000
            [low] => 0.28530000
            [mfe_pct] => 2.09
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T11:07:10-04:00
            [end_at] => 2025-05-04T17:07:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29180000
            [high_after] => 0.29120000
            [low_before] => 0.28500000
            [low_after] => 0.28530000
            [is_new_high] => 
            [is_new_low] => 
        )

)