Short Trade on PENGU

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Short Trade on PENGU 04 May 2025 at 07:07:51

Take profit at 0.009916 (1.24 %) and Stop Loss at 0.01013 (0.9 %)

Short Trade on PENGU

The 04 May 2025 at 07:07:51

With 94008.1701 PENGU at 0.01004$ per unit.

Position size of 944.2181 $

Take profit at 0.009916 (1.24 %) and Stop Loss at 0.01013 (0.9 %)

That's a 1.38 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: -0.08

Prediction Score: -0.1469

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
2	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: 0.14
atr: 5.673265766E-5

Details

score: 1.14
1H
ema9 : 0.0100431
ema21 : 0.0103403
ema50 : 0.0107192
price_ema9_diff : 8.52864E-5
ema9_ema21_diff : -0.0287469
ema21_ema50_diff : -0.0353437
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.351618
kc_percentage : 0.188035
kc_width_percentage : 0.0872876
15m
ema9 : 0.00990975
ema21 : 0.00995487
ema50 : 0.010143
price_ema9_diff : 0.0134857
ema9_ema21_diff : -0.00453295
ema21_ema50_diff : -0.0185529
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.53562
kc_percentage : 0.728541
kc_width_percentage : 0.0411493
5m
ema9 : 0.00992329
ema21 : 0.00989491
ema50 : 0.00992617
price_ema9_diff : 0.0121986
ema9_ema21_diff : 0.00286794
ema21_ema50_diff : -0.00314889
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.651292
kc_percentage : 1.13828
kc_width_percentage : 0.0231902

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 07:07:51	04 May 2025 07:10:00	2 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01004	0.01013	0.009916	1.38	0.007373

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 0.01004
Stop Loss: 0.01013
Take Profit: 0.009916

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01013 - 0.01004 = 9.0E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.01004 - 0.009916 = 0.000124
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.000124 / 9.0E-5 = 1.3778

📌 Position Size

Amount	Margin	Quantity	Leverage
944.2181	100	94008.1701	9.44

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 9.0E-5

Taille de position = 8 / 9.0E-5 = 88888.89

Taille de position USD = 88888.89 x 0.01004 = 892.44

Donc, tu peux acheter 88888.89 avec un stoploss a 0.01013

Avec un position size USD de 892.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 88888.89 x 9.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 88888.89 x 0.000124 = 11.02

Si Take Profit atteint, tu gagneras 11.02$

Résumé

Taille de position 88888.89
Taille de position USD 892.44
Perte potentielle 8
Gain potentiel 11.02
Risk-Reward Ratio 1.3778

📌 Peformances

TP % Target	TP $ Target
1.24 %	11.66 $

SL % Target	SL $ Target
0.9 %	8.46 $

PNL	PNL %
-8.46 $	-0.90

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.2450199203187 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.009916
            [entry_price] => 0.01004
            [stop_loss] => 0.010139
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 07:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.009916
            [entry_price] => 0.01004
            [stop_loss] => 0.010148
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 07:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.009916
            [entry_price] => 0.01004
            [stop_loss] => 0.010157
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 07:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.009916
            [entry_price] => 0.01004
            [stop_loss] => 0.010175
            [rr_ratio] => 0.92
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 07:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -4.3999999999999E-5
            [max_drawdown] => 0.000661
            [rr_ratio] => -0.07
            [high] => 0.01070100
            [low] => 0.01008400
            [mfe_pct] => -0.44
            [mae_pct] => 6.58
            [mfe_mae_ratio] => -0.07
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T07:07:51-04:00
            [end_at] => 2025-05-04T09:07:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -4.3999999999999E-5
            [max_drawdown] => 0.001066
            [rr_ratio] => -0.04
            [high] => 0.01110600
            [low] => 0.01008400
            [mfe_pct] => -0.44
            [mae_pct] => 10.62
            [mfe_mae_ratio] => -0.04
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T07:07:51-04:00
            [end_at] => 2025-05-04T13:07:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01014600
            [high_after] => 0.01110600
            [low_before] => 0.00972800
            [low_after] => 0.01008400
            [is_new_high] => 
            [is_new_low] => 
        )

)