Short Trade on LAYER

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Short Trade on LAYER 27 Mar 2025 at 13:24:30

Take profit at 1.3001 (1.41 %) and Stop Loss at 1.3311 (0.94 %)

Short Trade on LAYER

The 27 Mar 2025 at 13:24:30

With 643.485 LAYER at 1.3187$ per unit.

Position size of 848.5637 $

Take profit at 1.3001 (1.41 %) and Stop Loss at 1.3311 (0.94 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.22

Prediction Score:

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: 0.21
atr: 0.008288200867427

Details

score: 1.21

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Mar 2025 13:24:30	27 Mar 2025 13:30:00	5 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.3187	1.3311	1.3001	1.5	0.0956

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 1.3187
Stop Loss: 1.3311
Take Profit: 1.3001

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.3311 - 1.3187 = 0.0124
Récompense (distance jusqu'au take profit):

E - TP = 1.3187 - 1.3001 = 0.0186
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0186 / 0.0124 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
848.5637	848.5637	643.485	8.49

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 0.0124

Taille de position = 8 / 0.0124 = 645.16

Taille de position USD = 645.16 x 1.3187 = 850.77

Donc, tu peux acheter 645.16 avec un stoploss a 1.3311

Avec un position size USD de 850.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 645.16 x 0.0124 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 645.16 x 0.0186 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 645.16
Taille de position USD 850.77
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.41 %	11.97 $

SL % Target	SL $ Target
0.94 %	7.98 $

PNL	PNL %
-7.98 $	-0.94

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

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.3
            [entry_price] => 1.319
            [stop_loss] => 1.3322
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-27 13:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.3
            [entry_price] => 1.319
            [stop_loss] => 1.3334
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-27 13:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.3
            [entry_price] => 1.319
            [stop_loss] => 1.3346
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-27 13:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.3
            [entry_price] => 1.319
            [stop_loss] => 1.337
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-27 13:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0067999999999999
            [max_drawdown] => 0.0561
            [rr_ratio] => 0.12
            [high] => 1.37480000
            [low] => 1.31190000
            [mfe_pct] => 0.52
            [mae_pct] => 4.25
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T13:24:30-04:00
            [end_at] => 2025-03-27T15:24:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0117
            [max_drawdown] => 0.0561
            [rr_ratio] => 0.21
            [high] => 1.37480000
            [low] => 1.30700000
            [mfe_pct] => 0.89
            [mae_pct] => 4.25
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T13:24:30-04:00
            [end_at] => 2025-03-27T19:24:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.32340000
            [high_after] => 1.37480000
            [low_before] => 1.26350000
            [low_after] => 1.30700000
            [is_new_high] => 
            [is_new_low] => 
        )

)