Short Trade on LAYER

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Short Trade on LAYER 17 Apr 2025 at 16:32:29

Take profit at 1.9686 (0.9 %) and Stop Loss at 1.9983 (0.6 %)

Short Trade on LAYER

The 17 Apr 2025 at 16:32:29

With 674.1448 LAYER at 1.9864$ per unit.

Position size of 1339.1211 $

Take profit at 1.9686 (0.9 %) and Stop Loss at 1.9983 (0.6 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.56

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: 0.09
atr: 0.007911258316

Details

score: 1.09
1H
ema9 : 1.97202
ema21 : 1.98848
ema50 : 1.99642
price_ema9_diff : 0.00723108
ema9_ema21_diff : -0.00828147
ema21_ema50_diff : -0.00397419
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.484597
kc_percentage : 0.491904
kc_width_percentage : 0.0614082
15m
ema9 : 1.97005
ema21 : 1.96779
ema50 : 1.97733
price_ema9_diff : 0.00830599
ema9_ema21_diff : 0.00114754
ema21_ema50_diff : -0.00482336
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.588449
kc_percentage : 0.862971
kc_width_percentage : 0.0258192
5m
ema9 : 1.97251
ema21 : 1.9667
ema50 : 1.96567
price_ema9_diff : 0.0070623
ema9_ema21_diff : 0.0029521
ema21_ema50_diff : 0.000524802
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.649543
kc_percentage : 1.0911
kc_width_percentage : 0.0166454

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
17 Apr 2025 16:32:29	17 Apr 2025 16:45:00	12 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.9864	1.9983	1.9686	1.5	0.0855

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 1.9864
Stop Loss: 1.9983
Take Profit: 1.9686

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.9983 - 1.9864 = 0.0119
Récompense (distance jusqu'au take profit):

E - TP = 1.9864 - 1.9686 = 0.0178
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0178 / 0.0119 = 1.4958

📌 Position Size

Amount	Margin	Quantity	Leverage
1339.1211	100	674.1448	13.39

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 0.0119

Taille de position = 8 / 0.0119 = 672.27

Taille de position USD = 672.27 x 1.9864 = 1335.4

Donc, tu peux acheter 672.27 avec un stoploss a 1.9983

Avec un position size USD de 1335.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 672.27 x 0.0119 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 672.27 x 0.0178 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

Taille de position 672.27
Taille de position USD 1335.4
Perte potentielle 8
Gain potentiel 11.97
Risk-Reward Ratio 1.4958

📌 Peformances

TP % Target	TP $ Target
0.9 %	12 $

SL % Target	SL $ Target
0.6 %	8.02 $

PNL	PNL %
-8.09 $	-0.60

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.60422960725076 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.969
            [entry_price] => 1.986
            [stop_loss] => 1.9992
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-17 16:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.969
            [entry_price] => 1.986
            [stop_loss] => 2.0004
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-17 16:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.969
            [entry_price] => 1.986
            [stop_loss] => 2.0016
            [rr_ratio] => 1.09
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-17 16:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.969
            [entry_price] => 1.986
            [stop_loss] => 2.004
            [rr_ratio] => 0.94
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-17 16:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0098
            [max_drawdown] => 0.0369
            [rr_ratio] => 0.27
            [high] => 2.02330000
            [low] => 1.97660000
            [mfe_pct] => 0.49
            [mae_pct] => 1.86
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-04-17T16:32:29-04:00
            [end_at] => 2025-04-17T18:32:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0412
            [max_drawdown] => 0.0724
            [rr_ratio] => 0.57
            [high] => 2.05880000
            [low] => 1.94520000
            [mfe_pct] => 2.07
            [mae_pct] => 3.64
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 72
            [start_at] => 2025-04-17T16:32:29-04:00
            [end_at] => 2025-04-17T22:32:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.98840000
            [high_after] => 2.05880000
            [low_before] => 1.94020000
            [low_after] => 1.94520000
            [is_new_high] => 
            [is_new_low] => 
        )

)