Short Trade on QUICK

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Short Trade on QUICK 10 Apr 2025 at 18:11:07

Take profit at 0.02553 (0.62 %) and Stop Loss at 0.0258 (0.43 %)

Short Trade on QUICK

The 10 Apr 2025 at 18:11:07

With 75638.3474 QUICK at 0.02569$ per unit.

Position size of 1943.1491 $

Take profit at 0.02553 (0.62 %) and Stop Loss at 0.0258 (0.43 %)

That's a 1.45 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.36

Prediction Score:

Prediction 1	Probability
Weak 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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.11
atr: 7.051097114E-5

Details

score: 1.11
1H
ema9 : 0.0256178
ema21 : 0.0258892
ema50 : 0.0260764
price_ema9_diff : 0.00278598
ema9_ema21_diff : -0.0104824
ema21_ema50_diff : -0.00718009
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.447884
kc_percentage : 0.41126
kc_width_percentage : 0.079123
15m
ema9 : 0.0255138
ema21 : 0.0255171
ema50 : 0.0257231
price_ema9_diff : 0.0069026
ema9_ema21_diff : -0.000129122
ema21_ema50_diff : -0.00800838
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.547716
kc_percentage : 0.726972
kc_width_percentage : 0.0302851
5m
ema9 : 0.0255885
ema21 : 0.0255274
ema50 : 0.0255139
price_ema9_diff : 0.00397481
ema9_ema21_diff : 0.00239437
ema21_ema50_diff : 0.000528468
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.644351
kc_percentage : 1.11029
kc_width_percentage : 0.010186

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 18:11:07	10 Apr 2025 18:15:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.02569	0.0258	0.02553	1.45	0.01303

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 0.02569
Stop Loss: 0.0258
Take Profit: 0.02553

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.0258 - 0.02569 = 0.00011
Récompense (distance jusqu'au take profit):

E - TP = 0.02569 - 0.02553 = 0.00016
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00016 / 0.00011 = 1.4545

📌 Position Size

Amount	Margin	Quantity	Leverage
1943.1491	100	75638.3474	19.43

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 0.00011

Taille de position = 8 / 0.00011 = 72727.27

Taille de position USD = 72727.27 x 0.02569 = 1868.36

Donc, tu peux acheter 72727.27 avec un stoploss a 0.0258

Avec un position size USD de 1868.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 72727.27 x 0.00011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 72727.27 x 0.00016 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

Taille de position 72727.27
Taille de position USD 1868.36
Perte potentielle 8
Gain potentiel 11.64
Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target	TP $ Target
0.62 %	12.1 $

SL % Target	SL $ Target
0.43 %	8.32 $

PNL	PNL %
-8.32 $	-0.43

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.42818217205138 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02553
            [entry_price] => 0.02569
            [stop_loss] => 0.025811
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 18:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02553
            [entry_price] => 0.02569
            [stop_loss] => 0.025822
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 18:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02553
            [entry_price] => 0.02569
            [stop_loss] => 0.025833
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 18:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02553
            [entry_price] => 0.02569
            [stop_loss] => 0.025855
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 18:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00011
            [max_drawdown] => 0.00034
            [rr_ratio] => 0.32
            [high] => 0.02603000
            [low] => 0.02558000
            [mfe_pct] => 0.43
            [mae_pct] => 1.32
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T18:11:07-04:00
            [end_at] => 2025-04-10T20:11:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00011
            [max_drawdown] => 0.00064
            [rr_ratio] => 0.17
            [high] => 0.02633000
            [low] => 0.02558000
            [mfe_pct] => 0.43
            [mae_pct] => 2.49
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T18:11:07-04:00
            [end_at] => 2025-04-11T00:11:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02576000
            [high_after] => 0.02633000
            [low_before] => 0.02516000
            [low_after] => 0.02558000
            [is_new_high] => 
            [is_new_low] => 
        )

)