Trade

sell - LAYER

Status

loss

2025-03-27 13:54:33

10 minutes

PNL

-1.19

Entry: 1.3353

Last: 1.35120000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Probability
	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

ML Trade Score: -100

ML Pullback Score: 0.8

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.05
atr: 0.010615961395421

Details

score: 1.05

Short Trade on LAYER

The 27 Mar 2025 at 13:54:33

With 502.3882 LAYER at 1.3353$ per unit.

Position size of 670.8389 $

Take profit at 1.3114 (1.79 %) and Stop Loss at 1.3512 (1.19 %)

That's a 1.5 RR Trade

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Similar Trade Score: -20 %

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HIPPO	2025-05-17 06:56:54	0.9649	-100	1
ADA	2025-06-06 00:44:08	0.9645	-100	1

📌 Time Data

Start at	Closed at	Duration
27 Mar 2025 13:54:33	27 Mar 2025 14:05:00	10 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.3353	1.3512	1.3114	1.5	0.5644

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 1.3353
Stop Loss: 1.3512
Take Profit: 1.3114

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.3512 - 1.3353 = 0.0159
Récompense (distance jusqu'au take profit):

E - TP = 1.3353 - 1.3114 = 0.0239
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0239 / 0.0159 = 1.5031

📌 Position Size

Amount	Margin	Quantity	Leverage
670.8389	670.8389	502.3882	6.71

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 0.0159

Taille de position = 8 / 0.0159 = 503.14

Taille de position USD = 503.14 x 1.3353 = 671.84

Donc, tu peux acheter 503.14 avec un stoploss a 1.3512

Avec un position size USD de 671.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 503.14 x 0.0159 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 503.14 x 0.0239 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

Taille de position 503.14
Taille de position USD 671.84
Perte potentielle 8
Gain potentiel 12.03
Risk-Reward Ratio 1.5031

📌 Peformances

TP % Target	TP $ Target
1.79 %	12.01 $

SL % Target	SL $ Target
1.19 %	7.99 $

PNL	PNL %
-7.99 $	-1.19

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] => 1.311
            [entry_price] => 1.335
            [stop_loss] => 1.3526
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-27 14:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.311
            [entry_price] => 1.335
            [stop_loss] => 1.3542
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-27 14:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.311
            [entry_price] => 1.335
            [stop_loss] => 1.3558
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-27 14:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.311
            [entry_price] => 1.335
            [stop_loss] => 1.359
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-27 14:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0074999999999998
            [max_drawdown] => 0.0395
            [rr_ratio] => 0.19
            [high] => 1.37480000
            [low] => 1.32780000
            [mfe_pct] => 0.56
            [mae_pct] => 2.96
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T13:54:33-04:00
            [end_at] => 2025-03-27T15:54:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0427
            [max_drawdown] => 0.0395
            [rr_ratio] => 1.08
            [high] => 1.37480000
            [low] => 1.29260000
            [mfe_pct] => 3.2
            [mae_pct] => 2.96
            [mfe_mae_ratio] => 1.08
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T13:54:33-04:00
            [end_at] => 2025-03-27T19:54:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.34270000
            [high_after] => 1.37480000
            [low_before] => 1.26350000
            [low_after] => 1.29260000
            [is_new_high] => 
            [is_new_low] => 
        )

)