Long Trade on QKC

The 10 Apr 2025 at 01:22:50

With 39748.5725 QKC at 0.007132$ per unit.

Position size of 283.4868 $

Take profit at 0.007434 (4.23 %) and Stop Loss at 0.006931 (2.82 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.03

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.09
atr: 0.0001341767264

Details

score: 2.09
1H
ema9 - 0.00714642
ema21 - 0.00686328
ema50 - 0.00647699
price_ema9_diff - -0.00210141
ema9_ema21_diff - 0.0412532
ema21_ema50_diff - 0.0596411
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.554545
kc_percentage - 0.639392
kc_width_percentage - 0.250243
15m
ema9 - 0.00739369
ema21 - 0.00726896
ema50 - 0.00702363
price_ema9_diff - -0.0360015
ema9_ema21_diff - 0.0171589
ema21_ema50_diff - 0.034929
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.477743
kc_percentage - 0.348738
kc_width_percentage - 0.137852
5m
ema9 - 0.00739454
ema21 - 0.00744456
ema50 - 0.00733388
price_ema9_diff - -0.035267
ema9_ema21_diff - -0.0067182
ema21_ema50_diff - 0.0150905
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.352103
kc_percentage - -0.0856206
kc_width_percentage - 0.0749507

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 01:22:50	10 Apr 2025 01:50:00	27 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.007132	0.006931	0.007434	1.5	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 0.007132
Stop Loss: 0.006931
Take Profit: 0.007434

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.006931 - 0.007132 = -0.000201
Récompense (distance jusqu'au take profit):

E - TP = 0.007132 - 0.007434 = -0.000302
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.000302 / -0.000201 = 1.5025

📌 Position Size

Amount	Margin	Quantity	Leverage
283.4868	100	39748.5725	2.83

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 -0.000201

Taille de position = 8 / -0.000201 = -39801

Taille de position USD = -39801 x 0.007132 = -283.86

Donc, tu peux acheter -39801 avec un stoploss a 0.006931

Avec un position size USD de -283.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -39801 x -0.000201 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -39801 x -0.000302 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

Taille de position -39801
Taille de position USD -283.86
Perte potentielle 8
Gain potentiel 12.02
Risk-Reward Ratio 1.5025

📌 Peformances

TP % Target	TP $ Target
4.23 %	12 $

SL % Target	SL $ Target
2.82 %	7.99 $

PNL	PNL %
-7.99 $	-2.82

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.9584969153113 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.007434
            [entry_price] => 0.007132
            [stop_loss] => 0.0069109
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 01:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.007434
            [entry_price] => 0.007132
            [stop_loss] => 0.0068908
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 01:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.007434
            [entry_price] => 0.007132
            [stop_loss] => 0.0068707
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 01:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.007434
            [entry_price] => 0.007132
            [stop_loss] => 0.0068305
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 02:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 7.9999999999993E-6
            [max_drawdown] => 0.00037
            [rr_ratio] => 0.02
            [high] => 0.00714000
            [low] => 0.00676200
            [mfe_pct] => 0.11
            [mae_pct] => 5.19
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T01:22:50-04:00
            [end_at] => 2025-04-10T03:22:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 8.9999999999995E-6
            [max_drawdown] => 0.00037
            [rr_ratio] => 0.02
            [high] => 0.00714100
            [low] => 0.00676200
            [mfe_pct] => 0.13
            [mae_pct] => 5.19
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T01:22:50-04:00
            [end_at] => 2025-04-10T07:22:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00792000
            [high_after] => 0.00714100
            [low_before] => 0.00669900
            [low_after] => 0.00676200
            [is_new_high] => 
            [is_new_low] => 
        )

)