Short Trade on PENGU

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Short Trade on PENGU 07 May 2025 at 14:02:09

Take profit at 0.01056 (2.67 %) and Stop Loss at 0.01105 (1.84 %)

Short Trade on PENGU

The 07 May 2025 at 14:02:09

With 40800.3807 PENGU at 0.01085$ per unit.

Position size of 442.7249 $

Take profit at 0.01056 (2.67 %) and Stop Loss at 0.01105 (1.84 %)

That's a 1.45 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 1.5

Prediction Score: -1.8243

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: 0.03
atr: 0.0001307177346

Details

score: 1.03
1H
ema9 : 0.0108885
ema21 : 0.0110518
ema50 : 0.0110664
price_ema9_diff : -0.00339607
ema9_ema21_diff : -0.0147784
ema21_ema50_diff : -0.00131887
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.457784
kc_percentage : 0.369593
kc_width_percentage : 0.13742
15m
ema9 : 0.0106114
ema21 : 0.01072
ema50 : 0.0109491
price_ema9_diff : 0.0223497
ema9_ema21_diff : -0.0101372
ema21_ema50_diff : -0.0209241
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.523061
kc_percentage : 0.666184
kc_width_percentage : 0.0787436
5m
ema9 : 0.0106038
ema21 : 0.0105561
ema50 : 0.0106558
price_ema9_diff : 0.0234119
ema9_ema21_diff : 0.00452312
ema21_ema50_diff : -0.00936115
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.630866
kc_percentage : 1.03234
kc_width_percentage : 0.0510583

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
07 May 2025 14:02:09	07 May 2025 18:30:00	4 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01085	0.01105	0.01056	1.45	0.006923

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 0.01085
Stop Loss: 0.01105
Take Profit: 0.01056

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01105 - 0.01085 = 0.0002
Récompense (distance jusqu'au take profit):

E - TP = 0.01085 - 0.01056 = 0.00029
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00029 / 0.0002 = 1.45

📌 Position Size

Amount	Margin	Quantity	Leverage
442.7249	100	40800.3807	4.43

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 0.0002

Taille de position = 8 / 0.0002 = 40000

Taille de position USD = 40000 x 0.01085 = 434

Donc, tu peux acheter 40000 avec un stoploss a 0.01105

Avec un position size USD de 434$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 40000 x 0.0002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 40000 x 0.00029 = 11.6

Si Take Profit atteint, tu gagneras 11.6$

Résumé

Taille de position 40000
Taille de position USD 434
Perte potentielle 8
Gain potentiel 11.6
Risk-Reward Ratio 1.45

📌 Peformances

TP % Target	TP $ Target
2.67 %	11.83 $

SL % Target	SL $ Target
1.84 %	8.16 $

PNL	PNL %
-8.16 $	-1.84

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-3.2534562211981 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01056
            [entry_price] => 0.01085
            [stop_loss] => 0.01107
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-07 18:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01056
            [entry_price] => 0.01085
            [stop_loss] => 0.01109
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-07 18:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01056
            [entry_price] => 0.01085
            [stop_loss] => 0.01111
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-07 18:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01056
            [entry_price] => 0.01085
            [stop_loss] => 0.01115
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-07 18:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000273
            [max_drawdown] => 0.000192
            [rr_ratio] => 1.42
            [high] => 0.01104200
            [low] => 0.01057700
            [mfe_pct] => 2.52
            [mae_pct] => 1.77
            [mfe_mae_ratio] => 1.42
            [candles_analyzed] => 24
            [start_at] => 2025-05-07T14:02:09-04:00
            [end_at] => 2025-05-07T16:02:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000289
            [max_drawdown] => 0.000478
            [rr_ratio] => 0.6
            [high] => 0.01132800
            [low] => 0.01056100
            [mfe_pct] => 2.66
            [mae_pct] => 4.41
            [mfe_mae_ratio] => 0.6
            [candles_analyzed] => 72
            [start_at] => 2025-05-07T14:02:09-04:00
            [end_at] => 2025-05-07T20:02:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01125600
            [high_after] => 0.01132800
            [low_before] => 0.01025200
            [low_after] => 0.01056100
            [is_new_high] => 
            [is_new_low] => 
        )

)