Short Trade on LAYER

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Short Trade on LAYER 01 May 2025 at 05:49:47

Take profit at 2.952 (1.25 %) and Stop Loss at 3.0142 (0.83 %)

Short Trade on LAYER

The 01 May 2025 at 05:49:47

With 321.5776 LAYER at 2.9893$ per unit.

Position size of 961.2919 $

Take profit at 2.952 (1.25 %) and Stop Loss at 3.0142 (0.83 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.92

Prediction Score: -1.2796

Prediction 1	Probability
	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: 0.12
atr: 0.01658490329

Details

score: 1.12
1H
ema9 : 2.9732
ema21 : 3.01256
ema50 : 3.01833
price_ema9_diff : 0.00534242
ema9_ema21_diff : -0.0130635
ema21_ema50_diff : -0.0019146
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.459949
kc_percentage : 0.424392
kc_width_percentage : 0.092234
15m
ema9 : 2.9516
ema21 : 2.9527
ema50 : 2.98424
price_ema9_diff : 0.012765
ema9_ema21_diff : -0.000370615
ema21_ema50_diff : -0.0105707
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.565992
kc_percentage : 0.81828
kc_width_percentage : 0.0394378
5m
ema9 : 2.96569
ema21 : 2.94563
ema50 : 2.94282
price_ema9_diff : 0.00801191
ema9_ema21_diff : 0.00681095
ema21_ema50_diff : 0.000956559
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.689133
kc_percentage : 1.1235
kc_width_percentage : 0.0229376

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
01 May 2025 05:49:47	01 May 2025 06:05:00	15 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.9893	3.0142	2.952	1.5	0.0864

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 2.9893
Stop Loss: 3.0142
Take Profit: 2.952

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3.0142 - 2.9893 = 0.0249
Récompense (distance jusqu'au take profit):

E - TP = 2.9893 - 2.952 = 0.0373
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0373 / 0.0249 = 1.498

📌 Position Size

Amount	Margin	Quantity	Leverage
961.2919	100	321.5776	9.61

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 0.0249

Taille de position = 8 / 0.0249 = 321.29

Taille de position USD = 321.29 x 2.9893 = 960.43

Donc, tu peux acheter 321.29 avec un stoploss a 3.0142

Avec un position size USD de 960.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 321.29 x 0.0249 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 321.29 x 0.0373 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

Taille de position 321.29
Taille de position USD 960.43
Perte potentielle 8
Gain potentiel 11.98
Risk-Reward Ratio 1.498

📌 Peformances

TP % Target	TP $ Target
1.25 %	11.99 $

SL % Target	SL $ Target
0.83 %	8.01 $

PNL	PNL %
-8.04 $	-0.84

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.1040481766477 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.952
            [entry_price] => 2.989
            [stop_loss] => 3.0165
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-01 06:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.952
            [entry_price] => 2.989
            [stop_loss] => 3.019
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-01 06:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.952
            [entry_price] => 2.989
            [stop_loss] => 3.0215
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-01 06:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.952
            [entry_price] => 2.989
            [stop_loss] => 3.0265
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-01 06:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0516
            [max_drawdown] => 0.0783
            [rr_ratio] => 0.66
            [high] => 3.06760000
            [low] => 2.93770000
            [mfe_pct] => 1.73
            [mae_pct] => 2.62
            [mfe_mae_ratio] => 0.66
            [candles_analyzed] => 24
            [start_at] => 2025-05-01T05:49:47-04:00
            [end_at] => 2025-05-01T07:49:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0516
            [max_drawdown] => 0.0783
            [rr_ratio] => 0.66
            [high] => 3.06760000
            [low] => 2.93770000
            [mfe_pct] => 1.73
            [mae_pct] => 2.62
            [mfe_mae_ratio] => 0.66
            [candles_analyzed] => 72
            [start_at] => 2025-05-01T05:49:47-04:00
            [end_at] => 2025-05-01T11:49:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.00950000
            [high_after] => 3.06760000
            [low_before] => 2.87020000
            [low_after] => 2.93770000
            [is_new_high] => 
            [is_new_low] => 
        )

)