Long Trade on LAYER

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Long Trade on LAYER 13 Apr 2025 at 01:52:22

Take profit at 1.9529 (3.07 %) and Stop Loss at 1.8559 (2.05 %)

Long Trade on LAYER

The 13 Apr 2025 at 01:52:22

With 206.1515 LAYER at 1.8947$ per unit.

Position size of 390.5953 $

Take profit at 1.9529 (3.07 %) and Stop Loss at 1.8559 (2.05 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -60

ML Pullback Score: 1.67

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.02
atr: 0.02587093787

Details

score: 2.02
1H
ema9 : 1.91421
ema21 : 1.87285
ema50 : 1.8299
price_ema9_diff : -0.0104181
ema9_ema21_diff : 0.022082
ema21_ema50_diff : 0.0234732
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.551172
kc_percentage : 0.578146
kc_width_percentage : 0.132352
15m
ema9 : 1.94729
ema21 : 1.94341
ema50 : 1.90282
price_ema9_diff : -0.0270611
ema9_ema21_diff : 0.00199488
ema21_ema50_diff : 0.0213289
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.43604
kc_percentage : 0.229409
kc_width_percentage : 0.0976889
5m
ema9 : 1.92086
ema21 : 1.94974
ema50 : 1.95205
price_ema9_diff : -0.0134184
ema9_ema21_diff : -0.0148125
ema21_ema50_diff : -0.00118338
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.318528
kc_percentage : -0.0183297
kc_width_percentage : 0.0547476

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
13 Apr 2025 01:52:22	13 Apr 2025 03:05:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.8947	1.8559	1.9529	1.5	0.089

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 1.8947
Stop Loss: 1.8559
Take Profit: 1.9529

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.8559 - 1.8947 = -0.0388
Récompense (distance jusqu'au take profit):

E - TP = 1.8947 - 1.9529 = -0.0582
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0582 / -0.0388 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
390.5953	100	206.1515	3.91

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 -0.0388

Taille de position = 8 / -0.0388 = -206.19

Taille de position USD = -206.19 x 1.8947 = -390.67

Donc, tu peux acheter -206.19 avec un stoploss a 1.8559

Avec un position size USD de -390.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -206.19 x -0.0388 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -206.19 x -0.0582 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -206.19
Taille de position USD -390.67
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
3.07 %	12 $

SL % Target	SL $ Target
2.05 %	8 $

PNL	PNL %
-8.04 $	-2.06

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.1952506596306 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.953
            [entry_price] => 1.895
            [stop_loss] => 1.8521
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-13 04:50:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 1.953
            [entry_price] => 1.895
            [stop_loss] => 1.8482
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-13 04:50:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 1.953
            [entry_price] => 1.895
            [stop_loss] => 1.8443
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-13 04:50:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.953
            [entry_price] => 1.895
            [stop_loss] => 1.8365
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-13 04:50:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0202
            [max_drawdown] => 0.0421
            [rr_ratio] => 0.48
            [high] => 1.91490000
            [low] => 1.85260000
            [mfe_pct] => 1.07
            [mae_pct] => 2.22
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 24
            [start_at] => 2025-04-13T01:52:22-04:00
            [end_at] => 2025-04-13T03:52:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0907
            [max_drawdown] => 0.0421
            [rr_ratio] => 2.15
            [high] => 1.98540000
            [low] => 1.85260000
            [mfe_pct] => 4.79
            [mae_pct] => 2.22
            [mfe_mae_ratio] => 2.15
            [candles_analyzed] => 72
            [start_at] => 2025-04-13T01:52:22-04:00
            [end_at] => 2025-04-13T07:52:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.08000000
            [high_after] => 1.98540000
            [low_before] => 1.86740000
            [low_after] => 1.85260000
            [is_new_high] => 
            [is_new_low] => 
        )

)