Short Trade on QUICK

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Short Trade on QUICK 10 Apr 2025 at 18:13:44

Take profit at 0.02558 (0.66 %) and Stop Loss at 0.02586 (0.43 %)

Short Trade on QUICK

The 10 Apr 2025 at 18:13:44

With 71304.4075 QUICK at 0.02575$ per unit.

Position size of 1836.0885 $

Take profit at 0.02558 (0.66 %) and Stop Loss at 0.02586 (0.43 %)

That's a 1.55 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.66

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: 0.25
atr: 7.479668542E-5

Details

score: 1.25
1H
ema9 : 0.0256298
ema21 : 0.0258947
ema50 : 0.0260788
price_ema9_diff : 0.00463906
ema9_ema21_diff : -0.0102274
ema21_ema50_diff : -0.00706051
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.458698
kc_percentage : 0.438691
kc_width_percentage : 0.0798707
15m
ema9 : 0.0255258
ema21 : 0.0255226
ema50 : 0.0257255
price_ema9_diff : 0.00878181
ema9_ema21_diff : 0.000127362
ema21_ema50_diff : -0.00788708
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.563889
kc_percentage : 0.787866
kc_width_percentage : 0.0311466
5m
ema9 : 0.0256005
ema21 : 0.0255328
ema50 : 0.0255162
price_ema9_diff : 0.00585389
ema9_ema21_diff : 0.00265021
ema21_ema50_diff : 0.000649973
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.674317
kc_percentage : 1.24904
kc_width_percentage : 0.0110943

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 18:13:44	10 Apr 2025 18:30:00	16 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.02575	0.02586	0.02558	1.55	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 0.02575
Stop Loss: 0.02586
Take Profit: 0.02558

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.02586 - 0.02575 = 0.00011
Récompense (distance jusqu'au take profit):

E - TP = 0.02575 - 0.02558 = 0.00017
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00017 / 0.00011 = 1.5455

📌 Position Size

Amount	Margin	Quantity	Leverage
1836.0885	100	71304.4075	18.36

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 0.02575 = 1872.73

Donc, tu peux acheter 72727.27 avec un stoploss a 0.02586

Avec un position size USD de 1872.73$

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 0.00017 = 12.36

Si Take Profit atteint, tu gagneras 12.36$

Résumé

Taille de position 72727.27
Taille de position USD 1872.73
Perte potentielle 8
Gain potentiel 12.36
Risk-Reward Ratio 1.5455

📌 Peformances

TP % Target	TP $ Target
0.66 %	12.12 $

SL % Target	SL $ Target
0.43 %	7.84 $

PNL	PNL %
-7.84 $	-0.43

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.42718446601943 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02558
            [entry_price] => 0.02575
            [stop_loss] => 0.025871
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 18:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02558
            [entry_price] => 0.02575
            [stop_loss] => 0.025882
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 18:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02558
            [entry_price] => 0.02575
            [stop_loss] => 0.025893
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 18:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02558
            [entry_price] => 0.02575
            [stop_loss] => 0.025915
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 19:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00017
            [max_drawdown] => 0.00028
            [rr_ratio] => 0.61
            [high] => 0.02603000
            [low] => 0.02558000
            [mfe_pct] => 0.66
            [mae_pct] => 1.09
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T18:13:44-04:00
            [end_at] => 2025-04-10T20:13:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00017
            [max_drawdown] => 0.00058
            [rr_ratio] => 0.29
            [high] => 0.02633000
            [low] => 0.02558000
            [mfe_pct] => 0.66
            [mae_pct] => 2.25
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T18:13:44-04:00
            [end_at] => 2025-04-11T00:13:44-04:00
        )

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

)