Short Trade on LAYER

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Short Trade on LAYER 17 Apr 2025 at 16:22:26

Take profit at 1.967 (0.85 %) and Stop Loss at 1.995 (0.56 %)

Short Trade on LAYER

The 17 Apr 2025 at 16:22:26

With 713.2175 LAYER at 1.9838$ per unit.

Position size of 1414.8808 $

Take profit at 1.967 (0.85 %) and Stop Loss at 1.995 (0.56 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.49

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: 0.15
atr: 0.007477850117

Details

score: 1.15
1H
ema9 : 1.9715
ema21 : 1.98825
ema50 : 1.99632
price_ema9_diff : 0.0061858
ema9_ema21_diff : -0.00842511
ema21_ema50_diff : -0.00404172
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.478998
kc_percentage : 0.472619
kc_width_percentage : 0.0614887
15m
ema9 : 1.96592
ema21 : 1.96591
ema50 : 1.97695
price_ema9_diff : 0.00909023
ema9_ema21_diff : 5.31815E-6
ema21_ema50_diff : -0.00558333
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.578483
kc_percentage : 0.8262
kc_width_percentage : 0.0278071
5m
ema9 : 1.96711
ema21 : 1.96363
ema50 : 1.96438
price_ema9_diff : 0.00849561
ema9_ema21_diff : 0.00177319
ema21_ema50_diff : -0.00038073
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.67231
kc_percentage : 1.14889
kc_width_percentage : 0.0156581

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
17 Apr 2025 16:22:26	17 Apr 2025 16:45:00	22 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.9838	1.995	1.967	1.5	0.0865

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 1.9838
Stop Loss: 1.995
Take Profit: 1.967

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.995 - 1.9838 = 0.0112
Récompense (distance jusqu'au take profit):

E - TP = 1.9838 - 1.967 = 0.0168
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0168 / 0.0112 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1414.8808	100	713.2175	14.15

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 0.0112

Taille de position = 8 / 0.0112 = 714.29

Taille de position USD = 714.29 x 1.9838 = 1417.01

Donc, tu peux acheter 714.29 avec un stoploss a 1.995

Avec un position size USD de 1417.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 714.29 x 0.0112 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 714.29 x 0.0168 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 714.29
Taille de position USD 1417.01
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.85 %	11.98 $

SL % Target	SL $ Target
0.56 %	7.99 $

PNL	PNL %
-7.84 $	-0.55

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.70564516129032 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.967
            [entry_price] => 1.984
            [stop_loss] => 1.9961
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-17 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.967
            [entry_price] => 1.984
            [stop_loss] => 1.9972
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-17 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.967
            [entry_price] => 1.984
            [stop_loss] => 1.9983
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-17 16:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.967
            [entry_price] => 1.984
            [stop_loss] => 2.0005
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-17 16:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0091000000000001
            [max_drawdown] => 0.0395
            [rr_ratio] => 0.23
            [high] => 2.02330000
            [low] => 1.97470000
            [mfe_pct] => 0.46
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 24
            [start_at] => 2025-04-17T16:22:26-04:00
            [end_at] => 2025-04-17T18:22:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0386
            [max_drawdown] => 0.075
            [rr_ratio] => 0.51
            [high] => 2.05880000
            [low] => 1.94520000
            [mfe_pct] => 1.95
            [mae_pct] => 3.78
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 72
            [start_at] => 2025-04-17T16:22:26-04:00
            [end_at] => 2025-04-17T22:22:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.98840000
            [high_after] => 2.05880000
            [low_before] => 1.94020000
            [low_after] => 1.94520000
            [is_new_high] => 
            [is_new_low] => 
        )

)