Short Trade on QUICK

Previous Trade Next Trade

Short Trade on QUICK 10 Apr 2025 at 18:48:35

Take profit at 0.0257 (0.58 %) and Stop Loss at 0.02595 (0.39 %)

Short Trade on QUICK

The 10 Apr 2025 at 18:48:35

With 80632.8853 QUICK at 0.02585$ per unit.

Position size of 2084.3601 $

Take profit at 0.0257 (0.58 %) and Stop Loss at 0.02595 (0.39 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 1.51

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: 0.2
atr: 6.614340185E-5

Details

score: 1.2
1H
ema9 : 0.0256498
ema21 : 0.0259038
ema50 : 0.0260827
price_ema9_diff : 0.00772578
ema9_ema21_diff : -0.00980273
ema21_ema50_diff : -0.00686125
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.47581
kc_percentage : 0.483077
kc_width_percentage : 0.0814186
15m
ema9 : 0.0256678
ema21 : 0.0255943
ema50 : 0.0257349
price_ema9_diff : 0.00711675
ema9_ema21_diff : 0.00287007
ema21_ema50_diff : -0.00546032
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.592621
kc_percentage : 0.874573
kc_width_percentage : 0.0263409
5m
ema9 : 0.0257798
ema21 : 0.0256724
ema50 : 0.0255947
price_ema9_diff : 0.0027325
ema9_ema21_diff : 0.00418207
ema21_ema50_diff : 0.00303572
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.699708
kc_percentage : 1.19786
kc_width_percentage : 0.00947699

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 18:48:35	10 Apr 2025 19:05:00	16 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.02585	0.02595	0.0257	1.5	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 0.02585
Stop Loss: 0.02595
Take Profit: 0.0257

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.02595 - 0.02585 = 9.9999999999999E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.02585 - 0.0257 = 0.00015
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00015 / 9.9999999999999E-5 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2084.3601	100	80632.8853	20.84

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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.02585 = 2068

Donc, tu peux acheter 80000 avec un stoploss a 0.02595

Avec un position size USD de 2068$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 80000
Taille de position USD 2068
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.58 %	12.09 $

SL % Target	SL $ Target
0.39 %	8.06 $

PNL	PNL %
-8.06 $	-0.39

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.50290135396518 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0257
            [entry_price] => 0.02585
            [stop_loss] => 0.02596
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 19:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0257
            [entry_price] => 0.02585
            [stop_loss] => 0.02597
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 19:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0257
            [entry_price] => 0.02585
            [stop_loss] => 0.02598
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 19:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0257
            [entry_price] => 0.02585
            [stop_loss] => 0.026
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 19:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00027
            [max_drawdown] => 0.00018
            [rr_ratio] => 1.5
            [high] => 0.02603000
            [low] => 0.02558000
            [mfe_pct] => 1.04
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 1.5
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T18:48:35-04:00
            [end_at] => 2025-04-10T20:48:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00027
            [max_drawdown] => 0.00053
            [rr_ratio] => 0.51
            [high] => 0.02638000
            [low] => 0.02558000
            [mfe_pct] => 1.04
            [mae_pct] => 2.05
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T18:48:35-04:00
            [end_at] => 2025-04-11T00:48:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02587000
            [high_after] => 0.02638000
            [low_before] => 0.02516000
            [low_after] => 0.02558000
            [is_new_high] => 
            [is_new_low] => 
        )

)