Short Trade on ETH

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Short Trade on ETH 10 Apr 2025 at 21:52:04

Take profit at 1528.683 (0.96 %) and Stop Loss at 1553.328 (0.64 %)

Short Trade on ETH

The 10 Apr 2025 at 21:52:04

With 0.8115 ETH at 1543.47$ per unit.

Position size of 1252.5593 $

Take profit at 1528.683 (0.96 %) and Stop Loss at 1553.328 (0.64 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 1.68

Prediction Score:

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.07
atr: 6.572016379

Details

score: 1.07
1H
ema9 : 1528.74
ema21 : 1544.74
ema50 : 1550.77
price_ema9_diff : 0.00953462
ema9_ema21_diff : -0.0103574
ema21_ema50_diff : -0.00389413
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.485617
kc_percentage : 0.496594
kc_width_percentage : 0.0699759
15m
ema9 : 1527.47
ema21 : 1524.93
ema50 : 1534.57
price_ema9_diff : 0.0104873
ema9_ema21_diff : 0.00166818
ema21_ema50_diff : -0.00628309
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.613737
kc_percentage : 0.908232
kc_width_percentage : 0.0294102
5m
ema9 : 1532.72
ema21 : 1527.28
ema50 : 1524.16
price_ema9_diff : 0.00703384
ema9_ema21_diff : 0.00356067
ema21_ema50_diff : 0.00204865
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.686351
kc_percentage : 1.07422
kc_width_percentage : 0.0179916

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 21:52:04	11 Apr 2025 00:10:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1543.47	1553.328	1528.683	1.5	2015.26

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 1543.47
Stop Loss: 1553.328
Take Profit: 1528.683

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1553.328 - 1543.47 = 9.8579999999999
Récompense (distance jusqu'au take profit):

E - TP = 1543.47 - 1528.683 = 14.787
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 14.787 / 9.8579999999999 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1252.5593	100	0.8115	12.53

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 9.8579999999999

Taille de position = 8 / 9.8579999999999 = 0.81

Taille de position USD = 0.81 x 1543.47 = 1250.21

Donc, tu peux acheter 0.81 avec un stoploss a 1553.328

Avec un position size USD de 1250.21$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.81 x 9.8579999999999 = 7.98

Si Stop Loss atteint, tu perdras 7.98$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.81 x 14.787 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

Taille de position 0.81
Taille de position USD 1250.21
Perte potentielle 7.98
Gain potentiel 11.98
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.96 %	12 $

SL % Target	SL $ Target
0.64 %	8 $

PNL	PNL %
-8.12 $	-0.65

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.68891769280623 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
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    [1.1] => Array
        (
            [take_profit] => 1529
            [entry_price] => 1543
            [stop_loss] => 1554
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-11 00:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1529
            [entry_price] => 1543
            [stop_loss] => 1555
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-11 00:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1529
            [entry_price] => 1543
            [stop_loss] => 1556
            [rr_ratio] => 1.08
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-11 00:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1529
            [entry_price] => 1543
            [stop_loss] => 1558
            [rr_ratio] => 0.93
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-11 02:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 10.9
            [max_drawdown] => 6.55
            [rr_ratio] => 1.66
            [high] => 1550.02000000
            [low] => 1532.57000000
            [mfe_pct] => 0.71
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 1.66
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T21:52:04-04:00
            [end_at] => 2025-04-10T23:52:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 10.9
            [max_drawdown] => 18.59
            [rr_ratio] => 0.59
            [high] => 1562.06000000
            [low] => 1532.57000000
            [mfe_pct] => 0.71
            [mae_pct] => 1.2
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T21:52:04-04:00
            [end_at] => 2025-04-11T03:52:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1547.45000000
            [high_after] => 1562.06000000
            [low_before] => 1503.85000000
            [low_after] => 1532.57000000
            [is_new_high] => 
            [is_new_low] => 
        )

)