Short Trade on LAYER

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Short Trade on LAYER 08 Apr 2025 at 15:22:11

Take profit at 1.39 (1.15 %) and Stop Loss at 1.417 (0.77 %)

Short Trade on LAYER

The 08 Apr 2025 at 15:22:11

With 740.1026 LAYER at 1.4062$ per unit.

Position size of 1040.7323 $

Take profit at 1.39 (1.15 %) and Stop Loss at 1.417 (0.77 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 5.06

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
atr: 0.00720620799

Details

score: 1
1H
ema9 : 1.40248
ema21 : 1.42182
ema50 : 1.45645
price_ema9_diff : 0.00261162
ema9_ema21_diff : -0.0135986
ema21_ema50_diff : -0.0237764
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.441922
kc_percentage : 0.390646
kc_width_percentage : 0.0907425
15m
ema9 : 1.39257
ema21 : 1.39472
ema50 : 1.40666
price_ema9_diff : 0.00976639
ema9_ema21_diff : -0.00153828
ema21_ema50_diff : -0.00849045
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.55166
kc_percentage : 0.707384
kc_width_percentage : 0.0405448
5m
ema9 : 1.39723
ema21 : 1.39202
ema50 : 1.39276
price_ema9_diff : 0.00644061
ema9_ema21_diff : 0.0037395
ema21_ema50_diff : -0.000526383
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.652261
kc_percentage : 1.00438
kc_width_percentage : 0.0196837

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
08 Apr 2025 15:22:11	08 Apr 2025 16:45:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.4062	1.417	1.39	1.5	0.0861

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 1.4062
Stop Loss: 1.417
Take Profit: 1.39

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.417 - 1.4062 = 0.0108
Récompense (distance jusqu'au take profit):

E - TP = 1.4062 - 1.39 = 0.0162
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0162 / 0.0108 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1040.7323	100	740.1026	10.41

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 0.0108

Taille de position = 8 / 0.0108 = 740.74

Taille de position USD = 740.74 x 1.4062 = 1041.63

Donc, tu peux acheter 740.74 avec un stoploss a 1.417

Avec un position size USD de 1041.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 740.74 x 0.0108 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 740.74 x 0.0162 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 740.74
Taille de position USD 1041.63
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.15 %	11.99 $

SL % Target	SL $ Target
0.77 %	7.99 $

PNL	PNL %
-8.14 $	-0.78

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.93883357041253 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.39
            [entry_price] => 1.406
            [stop_loss] => 1.4181
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-08 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.39
            [entry_price] => 1.406
            [stop_loss] => 1.4192
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-08 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.39
            [entry_price] => 1.406
            [stop_loss] => 1.4203
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-08 17:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.39
            [entry_price] => 1.406
            [stop_loss] => 1.4225
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-08 17:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0188
            [max_drawdown] => 0.0175
            [rr_ratio] => 1.07
            [high] => 1.42370000
            [low] => 1.38740000
            [mfe_pct] => 1.34
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 1.07
            [candles_analyzed] => 24
            [start_at] => 2025-04-08T15:22:11-04:00
            [end_at] => 2025-04-08T17:22:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0643
            [max_drawdown] => 0.0175
            [rr_ratio] => 3.67
            [high] => 1.42370000
            [low] => 1.34190000
            [mfe_pct] => 4.57
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 3.67
            [candles_analyzed] => 72
            [start_at] => 2025-04-08T15:22:11-04:00
            [end_at] => 2025-04-08T21:22:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.40800000
            [high_after] => 1.42370000
            [low_before] => 1.35700000
            [low_after] => 1.34190000
            [is_new_high] => 
            [is_new_low] => 1
        )

)