Long Trade on POPCAT

The 11 Apr 2025 at 19:41:35

With 2204.7594 POPCAT at 0.2147$ per unit.

Position size of 473.3619 $

Take profit at 0.2201 (2.52 %) and Stop Loss at 0.2111 (1.68 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

buy

ML Trade Score: 120

ML Pullback Score: 8

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: 0.002419009175

Details

score: 2.02
1H
ema9 - 0.220292
ema21 - 0.210557
ema50 - 0.190483
price_ema9_diff - -0.0265591
ema9_ema21_diff - 0.046231
ema21_ema50_diff - 0.105384
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.564481
kc_percentage - 0.581295
kc_width_percentage - 0.187944
15m
ema9 - 0.220579
ema21 - 0.222337
ema50 - 0.217722
price_ema9_diff - -0.0264427
ema9_ema21_diff - -0.00790996
ema21_ema50_diff - 0.0212003
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.410425
kc_percentage - 0.126112
kc_width_percentage - 0.0955345
5m
ema9 - 0.215876
ema21 - 0.219766
ema50 - 0.2225
price_ema9_diff - -0.00535289
ema9_ema21_diff - -0.0177018
ema21_ema50_diff - -0.0122864
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.34599
kc_percentage - -0.0171318
kc_width_percentage - 0.0434595

📌 Time Data

Start at	Closed at	Duration
11 Apr 2025 19:41:35	11 Apr 2025 20:20:00	38 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.2147	0.2111	0.2201	1.5	0.0982

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 0.2147
Stop Loss: 0.2111
Take Profit: 0.2201

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.2111 - 0.2147 = -0.0036
Récompense (distance jusqu'au take profit):

E - TP = 0.2147 - 0.2201 = -0.0054
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0054 / -0.0036 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
473.3619	100	2204.7594	4.73

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 -0.0036

Taille de position = 8 / -0.0036 = -2222.22

Taille de position USD = -2222.22 x 0.2147 = -477.11

Donc, tu peux acheter -2222.22 avec un stoploss a 0.2111

Avec un position size USD de -477.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2222.22 x -0.0036 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2222.22 x -0.0054 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -2222.22
Taille de position USD -477.11
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.52 %	11.91 $

SL % Target	SL $ Target
1.68 %	7.94 $

PNL	PNL %
11.91 $	2.52

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.32603632976246 %	0 %	0

📌 ML Extra Data

Extra TP Data


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    [2] => Array
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            [take_profit] => 0.2219
            [stop_loss] => 0.2111
            [rr_ratio] => 2
            [closed_at] => 2025-04-11 20:25:00
            [result] => win
        )

    [2.5] => Array
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            [rr_ratio] => 2.5
            [closed_at] => 2025-04-11 20:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2255
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            [closed_at] => 2025-04-11 22:40:00
            [result] => win
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    [3.5] => Array
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            [closed_at] => 2025-04-11 23:05:00
            [result] => win
        )

    [4] => Array
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            [rr_ratio] => 4
            [closed_at] => 2025-04-11 23:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2309
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            [rr_ratio] => 4.5
            [closed_at] => 2025-04-12 00:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2327
            [stop_loss] => 0.2111
            [rr_ratio] => 5
            [closed_at] => 2025-04-12 00:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2345
            [stop_loss] => 0.2111
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-12 00:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2363
            [stop_loss] => 0.2111
            [rr_ratio] => 6
            [closed_at] => 2025-04-12 01:20:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.0093
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 13.29
            [high] => 0.22400000
            [low] => 0.21400000
            [mfe_pct] => 4.33
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 13.29
            [candles_analyzed] => 24
            [start_at] => 2025-04-11T19:41:35-04:00
            [end_at] => 2025-04-11T21:41:35-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.0231
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 33
            [high] => 0.23780000
            [low] => 0.21400000
            [mfe_pct] => 10.76
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 33
            [candles_analyzed] => 72
            [start_at] => 2025-04-11T19:41:35-04:00
            [end_at] => 2025-04-12T01:41:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24010000
            [high_after] => 0.23780000
            [low_before] => 0.21090000
            [low_after] => 0.21400000
            [is_new_high] => 
            [is_new_low] => 
        )

)