Long Trade on QKC

The 09 Apr 2025 at 16:43:34

With 137004.7971 QKC at 0.00655$ per unit.

Position size of 897.3814 $

Take profit at 0.006638 (1.34 %) and Stop Loss at 0.006492 (0.89 %)

That's a 1.52 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 7.19

Prediction Score:

Prediction 1	Probability
Strong 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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.08
atr: 3.892807732E-5

Details

score: 2.08
1H
ema9 - 0.00666884
ema21 - 0.00648773
ema50 - 0.00620652
price_ema9_diff - -0.0183185
ema9_ema21_diff - 0.027916
ema21_ema50_diff - 0.0453079
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.534255
kc_percentage - 0.534661
kc_width_percentage - 0.206754
15m
ema9 - 0.00663118
ema21 - 0.00670325
ema50 - 0.00664436
price_ema9_diff - -0.0121106
ema9_ema21_diff - -0.0107525
ema21_ema50_diff - 0.00886354
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.410676
kc_percentage - 0.177642
kc_width_percentage - 0.0709945
5m
ema9 - 0.00659179
ema21 - 0.00662953
ema50 - 0.0067325
price_ema9_diff - -0.00630495
ema9_ema21_diff - -0.00569196
ema21_ema50_diff - -0.0152942
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.305159
kc_percentage - -0.0758677
kc_width_percentage - 0.0203687

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 16:43:34	09 Apr 2025 16:50:00	6 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.00655	0.006492	0.006638	1.52	0.006669

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 0.00655
Stop Loss: 0.006492
Take Profit: 0.006638

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.006492 - 0.00655 = -5.8E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.00655 - 0.006638 = -8.8E-5
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -8.8E-5 / -5.8E-5 = 1.5172

📌 Position Size

Amount	Margin	Quantity	Leverage
897.3814	100	137004.7971	8.97

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 -5.8E-5

Taille de position = 8 / -5.8E-5 = -137931.03

Taille de position USD = -137931.03 x 0.00655 = -903.45

Donc, tu peux acheter -137931.03 avec un stoploss a 0.006492

Avec un position size USD de -903.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -137931.03 x -5.8E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -137931.03 x -8.8E-5 = 12.14

Si Take Profit atteint, tu gagneras 12.14$

Résumé

Taille de position -137931.03
Taille de position USD -903.45
Perte potentielle 8
Gain potentiel 12.14
Risk-Reward Ratio 1.5172

📌 Peformances

TP % Target	TP $ Target
1.34 %	12.06 $

SL % Target	SL $ Target
0.89 %	7.95 $

PNL	PNL %
-7.95 $	-0.89

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.0839694656489 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.006638
            [entry_price] => 0.00655
            [stop_loss] => 0.0064862
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 16:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.006638
            [entry_price] => 0.00655
            [stop_loss] => 0.0064804
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 16:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.006638
            [entry_price] => 0.00655
            [stop_loss] => 0.0064746
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 17:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.006638
            [entry_price] => 0.00655
            [stop_loss] => 0.006463
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 17:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000133
            [max_drawdown] => 8.9000000000001E-5
            [rr_ratio] => 1.49
            [high] => 0.00668300
            [low] => 0.00646100
            [mfe_pct] => 2.03
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 1.49
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T16:43:34-04:00
            [end_at] => 2025-04-09T18:43:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00137
            [max_drawdown] => 0.000125
            [rr_ratio] => 10.96
            [high] => 0.00792000
            [low] => 0.00642500
            [mfe_pct] => 20.92
            [mae_pct] => 1.91
            [mfe_mae_ratio] => 10.96
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T16:43:34-04:00
            [end_at] => 2025-04-09T22:43:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00708000
            [high_after] => 0.00792000
            [low_before] => 0.00647000
            [low_after] => 0.00642500
            [is_new_high] => 1
            [is_new_low] => 
        )

)