Long Trade on QKC

The 10 Apr 2025 at 01:20:07

With 41264.2899 QKC at 0.007146$ per unit.

Position size of 294.8746 $

Take profit at 0.007437 (4.07 %) and Stop Loss at 0.006952 (2.71 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: -0.02

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: 0.000129248155

Details

score: 2.09
1H
ema9 - 0.00714922
ema21 - 0.00686456
ema50 - 0.00647754
price_ema9_diff - -0.000469454
ema9_ema21_diff - 0.041468
ema21_ema50_diff - 0.0597478
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.556637
kc_percentage - 0.647614
kc_width_percentage - 0.247849
15m
ema9 - 0.00739649
ema21 - 0.00727023
ema50 - 0.00702418
price_ema9_diff - -0.0344547
ema9_ema21_diff - 0.017366
ema21_ema50_diff - 0.0350293
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.481627
kc_percentage - 0.359681
kc_width_percentage - 0.135679
5m
ema9 - 0.00739734
ema21 - 0.00744583
ema50 - 0.00733443
price_ema9_diff - -0.0337568
ema9_ema21_diff - -0.00651194
ema21_ema50_diff - 0.0151881
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.356651
kc_percentage - -0.0925176
kc_width_percentage - 0.0709416

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 01:20:07	10 Apr 2025 01:50:00	29 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.007146	0.006952	0.007437	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 0.007146
Stop Loss: 0.006952
Take Profit: 0.007437

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.006952 - 0.007146 = -0.000194
Récompense (distance jusqu'au take profit):

E - TP = 0.007146 - 0.007437 = -0.000291
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.000291 / -0.000194 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
294.8746	100	41264.2899	2.95

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 -0.000194

Taille de position = 8 / -0.000194 = -41237.11

Taille de position USD = -41237.11 x 0.007146 = -294.68

Donc, tu peux acheter -41237.11 avec un stoploss a 0.006952

Avec un position size USD de -294.68$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -41237.11 x -0.000194 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -41237.11 x -0.000291 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -41237.11
Taille de position USD -294.68
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
4.07 %	12.01 $

SL % Target	SL $ Target
2.71 %	8.01 $

PNL	PNL %
-8.01 $	-2.71

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.7427931710048 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.007437
            [entry_price] => 0.007146
            [stop_loss] => 0.0069326
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 01:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.007437
            [entry_price] => 0.007146
            [stop_loss] => 0.0069132
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 01:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.007437
            [entry_price] => 0.007146
            [stop_loss] => 0.0068938
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 01:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.007437
            [entry_price] => 0.007146
            [stop_loss] => 0.006855
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 02:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -5.9999999999999E-6
            [max_drawdown] => 0.000384
            [rr_ratio] => -0.02
            [high] => 0.00714000
            [low] => 0.00676200
            [mfe_pct] => -0.08
            [mae_pct] => 5.37
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T01:20:07-04:00
            [end_at] => 2025-04-10T03:20:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -4.9999999999998E-6
            [max_drawdown] => 0.000384
            [rr_ratio] => -0.01
            [high] => 0.00714100
            [low] => 0.00676200
            [mfe_pct] => -0.07
            [mae_pct] => 5.37
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T01:20:07-04:00
            [end_at] => 2025-04-10T07:20:07-04:00
        )

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

)