Long Trade on POPCAT

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Long Trade on POPCAT 10 Apr 2025 at 06:10:13

Take profit at 0.1689 (2.36 %) and Stop Loss at 0.1624 (1.58 %)

Long Trade on POPCAT

The 10 Apr 2025 at 06:10:13

With 3064.1632 POPCAT at 0.165$ per unit.

Position size of 505.5869 $

Take profit at 0.1689 (2.36 %) and Stop Loss at 0.1624 (1.58 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -80

ML Pullback Score: 1.14

Prediction Score:

Prediction 1	Probability
Strong 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: 0.001740551316

Details

score: 2.02
1H
ema9 : 0.167795
ema21 : 0.161322
ema50 : 0.151314
price_ema9_diff : -0.0173272
ema9_ema21_diff : 0.0401216
ema21_ema50_diff : 0.0661409
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.604631
kc_percentage : 0.635195
kc_width_percentage : 0.139542
15m
ema9 : 0.16879
ema21 : 0.16937
ema50 : 0.16601
price_ema9_diff : -0.0223772
ema9_ema21_diff : -0.00342817
ema21_ema50_diff : 0.0202429
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.409207
kc_percentage : 0.171241
kc_width_percentage : 0.0811216
5m
ema9 : 0.166923
ema21 : 0.168778
ema50 : 0.169739
price_ema9_diff : -0.0113992
ema9_ema21_diff : -0.010989
ema21_ema50_diff : -0.0056604
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.345319
kc_percentage : -0.0235054
kc_width_percentage : 0.0425704

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 06:10:13	10 Apr 2025 07:25:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.165	0.1624	0.1689	1.5	0.05005

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 0.165
Stop Loss: 0.1624
Take Profit: 0.1689

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1624 - 0.165 = -0.0026
Récompense (distance jusqu'au take profit):

E - TP = 0.165 - 0.1689 = -0.0039
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0039 / -0.0026 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
505.5869	100	3064.1632	5.06

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 -0.0026

Taille de position = 8 / -0.0026 = -3076.92

Taille de position USD = -3076.92 x 0.165 = -507.69

Donc, tu peux acheter -3076.92 avec un stoploss a 0.1624

Avec un position size USD de -507.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3076.92 x -0.0026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3076.92 x -0.0039 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -3076.92
Taille de position USD -507.69
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.36 %	11.95 $

SL % Target	SL $ Target
1.58 %	7.97 $

PNL	PNL %
-7.97 $	-1.58

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.7575757575758 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1689
            [entry_price] => 0.165
            [stop_loss] => 0.16214
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 07:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1689
            [entry_price] => 0.165
            [stop_loss] => 0.16188
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 07:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1689
            [entry_price] => 0.165
            [stop_loss] => 0.16162
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 08:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1689
            [entry_price] => 0.165
            [stop_loss] => 0.1611
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 08:25:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0031
            [max_drawdown] => 0.0032
            [rr_ratio] => 0.97
            [high] => 0.16810000
            [low] => 0.16180000
            [mfe_pct] => 1.88
            [mae_pct] => 1.94
            [mfe_mae_ratio] => 0.97
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T06:10:13-04:00
            [end_at] => 2025-04-10T08:10:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0058
            [max_drawdown] => 0.0097
            [rr_ratio] => 0.6
            [high] => 0.17080000
            [low] => 0.15530000
            [mfe_pct] => 3.52
            [mae_pct] => 5.88
            [mfe_mae_ratio] => 0.6
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T06:10:13-04:00
            [end_at] => 2025-04-10T12:10:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17600000
            [high_after] => 0.17080000
            [low_before] => 0.16350000
            [low_after] => 0.15530000
            [is_new_high] => 
            [is_new_low] => 
        )

)