Short Trade on LAYER

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Short Trade on LAYER 06 May 2025 at 23:32:22

Take profit at 1.8253 (3.57 %) and Stop Loss at 1.938 (2.38 %)

Short Trade on LAYER

The 06 May 2025 at 23:32:22

With 177.5587 LAYER at 1.8929$ per unit.

Position size of 336.1008 $

Take profit at 1.8253 (3.57 %) and Stop Loss at 1.938 (2.38 %)

That's a 1.5 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: 0.17
atr: 0.03003701784

Details

score: 1.17
1H
ema9 : 1.80975
ema21 : 1.94727
ema50 : 2.3227
price_ema9_diff : 0.0426956
ema9_ema21_diff : -0.0706198
ema21_ema50_diff : -0.161633
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.411903
kc_percentage : 0.419287
kc_width_percentage : 0.254014
15m
ema9 : 1.82353
ema21 : 1.7874
ema50 : 1.80744
price_ema9_diff : 0.0388053
ema9_ema21_diff : 0.0202145
ema21_ema50_diff : -0.0110865
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.651312
kc_percentage : 1.01696
kc_width_percentage : 0.105908
5m
ema9 : 1.83569
ema21 : 1.80929
ema50 : 1.78035
price_ema9_diff : 0.0316165
ema9_ema21_diff : 0.0145937
ema21_ema50_diff : 0.0162556
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.687949
kc_percentage : 1.16877
kc_width_percentage : 0.0648722

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
06 May 2025 23:32:22	07 May 2025 00:00:00	27 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.8929	1.938	1.8253	1.5	0.0849

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 1.8929
Stop Loss: 1.938
Take Profit: 1.8253

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.938 - 1.8929 = 0.0451
Récompense (distance jusqu'au take profit):

E - TP = 1.8929 - 1.8253 = 0.0676
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0676 / 0.0451 = 1.4989

📌 Position Size

Amount	Margin	Quantity	Leverage
336.1008	100	177.5587	3.36

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 0.0451

Taille de position = 8 / 0.0451 = 177.38

Taille de position USD = 177.38 x 1.8929 = 335.76

Donc, tu peux acheter 177.38 avec un stoploss a 1.938

Avec un position size USD de 335.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 177.38 x 0.0451 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 177.38 x 0.0676 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position 177.38
Taille de position USD 335.76
Perte potentielle 8
Gain potentiel 11.99
Risk-Reward Ratio 1.4989

📌 Peformances

TP % Target	TP $ Target
3.57 %	12 $

SL % Target	SL $ Target
2.38 %	8.01 $

PNL	PNL %
12.07 $	3.59

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

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 1.803
            [stop_loss] => 1.938
            [rr_ratio] => 2
            [closed_at] => 2025-05-07 00:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.7805
            [stop_loss] => 1.938
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-07 01:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.758
            [stop_loss] => 1.938
            [rr_ratio] => 3
            [closed_at] => 2025-05-07 01:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.7355
            [stop_loss] => 1.938
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-07 01:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.713
            [stop_loss] => 1.938
            [rr_ratio] => 4
            [closed_at] => 2025-05-07 01:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.6905
            [stop_loss] => 1.938
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-07 01:35:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1303
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.87330000
            [low] => 1.76260000
            [mfe_pct] => 6.88
            [mae_pct] => -1.04
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-06T23:32:22-04:00
            [end_at] => 2025-05-07T01:32:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.2111
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.87580000
            [low] => 1.68180000
            [mfe_pct] => 11.15
            [mae_pct] => -0.9
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-06T23:32:22-04:00
            [end_at] => 2025-05-07T05:32:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.90830000
            [high_after] => 1.87580000
            [low_before] => 1.67800000
            [low_after] => 1.68180000
            [is_new_high] => 
            [is_new_low] => 
        )

)