Short Trade on PENGU

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Short Trade on PENGU 30 Apr 2025 at 10:32:38

Take profit at 0.01045 (2.52 %) and Stop Loss at 0.0109 (1.68 %)

Short Trade on PENGU

The 30 Apr 2025 at 10:32:38

With 44615.3228 PENGU at 0.01072$ per unit.

Position size of 478.0978 $

Take profit at 0.01045 (2.52 %) and Stop Loss at 0.0109 (1.68 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -80

ML Pullback Score: 1.15

Prediction Score: 0.2705

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.21
atr: 0.0001195403955

Details

score: 1.21
1H
ema9 : 0.0106484
ema21 : 0.0109563
ema50 : 0.0112355
price_ema9_diff : 0.00616439
ema9_ema21_diff : -0.0281018
ema21_ema50_diff : -0.0248527
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.435771
kc_percentage : 0.357631
kc_width_percentage : 0.143682
15m
ema9 : 0.0104289
ema21 : 0.0105311
ema50 : 0.0107697
price_ema9_diff : 0.0272573
ema9_ema21_diff : -0.00970778
ema21_ema50_diff : -0.022148
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.537626
kc_percentage : 0.742022
kc_width_percentage : 0.0751315
5m
ema9 : 0.010426
ema21 : 0.0103561
ema50 : 0.0104671
price_ema9_diff : 0.0279943
ema9_ema21_diff : 0.00674914
ema21_ema50_diff : -0.0105985
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.689349
kc_percentage : 1.2097
kc_width_percentage : 0.0474186

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
30 Apr 2025 10:32:38	30 Apr 2025 12:45:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01072	0.0109	0.01045	1.5	0.006834

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 0.01072
Stop Loss: 0.0109
Take Profit: 0.01045

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.0109 - 0.01072 = 0.00018
Récompense (distance jusqu'au take profit):

E - TP = 0.01072 - 0.01045 = 0.00027
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00027 / 0.00018 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
478.0978	100	44615.3228	4.78

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 0.00018

Taille de position = 8 / 0.00018 = 44444.44

Taille de position USD = 44444.44 x 0.01072 = 476.44

Donc, tu peux acheter 44444.44 avec un stoploss a 0.0109

Avec un position size USD de 476.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 44444.44 x 0.00018 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 44444.44 x 0.00027 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 44444.44
Taille de position USD 476.44
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.52 %	12.05 $

SL % Target	SL $ Target
1.68 %	8.03 $

PNL	PNL %
-8.03 $	-1.68

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.1548507462687 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01045
            [entry_price] => 0.01072
            [stop_loss] => 0.010918
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-30 12:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01045
            [entry_price] => 0.01072
            [stop_loss] => 0.010936
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-30 12:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01045
            [entry_price] => 0.01072
            [stop_loss] => 0.010954
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-30 13:20:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.01045
            [entry_price] => 0.01072
            [stop_loss] => 0.01099
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-30 13:20:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00017
            [max_drawdown] => 0.000164
            [rr_ratio] => 1.04
            [high] => 0.01088400
            [low] => 0.01055000
            [mfe_pct] => 1.59
            [mae_pct] => 1.53
            [mfe_mae_ratio] => 1.04
            [candles_analyzed] => 24
            [start_at] => 2025-04-30T10:32:38-04:00
            [end_at] => 2025-04-30T12:32:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000286
            [max_drawdown] => 0.000542
            [rr_ratio] => 0.53
            [high] => 0.01126200
            [low] => 0.01043400
            [mfe_pct] => 2.67
            [mae_pct] => 5.06
            [mfe_mae_ratio] => 0.53
            [candles_analyzed] => 72
            [start_at] => 2025-04-30T10:32:38-04:00
            [end_at] => 2025-04-30T16:32:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01083500
            [high_after] => 0.01126200
            [low_before] => 0.00989900
            [low_after] => 0.01043400
            [is_new_high] => 
            [is_new_low] => 
        )

)