Long Trade on ZK

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Long Trade on ZK 09 May 2025 at 10:28:33

Take profit at 0.06893 (1.59 %) and Stop Loss at 0.06713 (1.06 %)

Long Trade on ZK

The 09 May 2025 at 10:28:33

With 11060.2001 ZK at 0.06785$ per unit.

Position size of 750.4346 $

Take profit at 0.06893 (1.59 %) and Stop Loss at 0.06713 (1.06 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.2

Prediction Score: 5.7084

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.06
atr: 0.0004822094805

Details

score: 2.06
1H
ema9 : 0.0688926
ema21 : 0.066455
ema50 : 0.0612841
price_ema9_diff : -0.015689
ema9_ema21_diff : 0.0366795
ema21_ema50_diff : 0.084377
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.61192
kc_percentage : 0.63837
kc_width_percentage : 0.123706
15m
ema9 : 0.0689183
ema21 : 0.0692225
ema50 : 0.068384
price_ema9_diff : -0.0154331
ema9_ema21_diff : -0.00439473
ema21_ema50_diff : 0.0122608
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.408724
kc_percentage : 0.17865
kc_width_percentage : 0.0624894
5m
ema9 : 0.0687532
ema21 : 0.068961
ema50 : 0.0692822
price_ema9_diff : -0.0130979
ema9_ema21_diff : -0.00301304
ema21_ema50_diff : -0.00463599
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.343991
kc_percentage : -0.0621225
kc_width_percentage : 0.028798

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 May 2025 10:28:33	09 May 2025 10:35:00	6 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.06785	0.06713	0.06893	1.5	0.01954

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 0.06785
Stop Loss: 0.06713
Take Profit: 0.06893

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.06713 - 0.06785 = -0.00072
Récompense (distance jusqu'au take profit):

E - TP = 0.06785 - 0.06893 = -0.00108
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00108 / -0.00072 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
750.4346	100	11060.2001	7.50

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 -0.00072

Taille de position = 8 / -0.00072 = -11111.11

Taille de position USD = -11111.11 x 0.06785 = -753.89

Donc, tu peux acheter -11111.11 avec un stoploss a 0.06713

Avec un position size USD de -753.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11111.11 x -0.00072 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11111.11 x -0.00108 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -11111.11
Taille de position USD -753.89
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.59 %	11.95 $

SL % Target	SL $ Target
1.06 %	7.96 $

PNL	PNL %
-7.96 $	-1.06

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.6949152542373 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06893
            [entry_price] => 0.06785
            [stop_loss] => 0.067058
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06893
            [entry_price] => 0.06785
            [stop_loss] => 0.066986
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06893
            [entry_price] => 0.06785
            [stop_loss] => 0.066914
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06893
            [entry_price] => 0.06785
            [stop_loss] => 0.06677
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00086
            [max_drawdown] => 0.00115
            [rr_ratio] => 0.75
            [high] => 0.06871000
            [low] => 0.06670000
            [mfe_pct] => 1.27
            [mae_pct] => 1.69
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 24
            [start_at] => 2025-05-09T10:28:33-04:00
            [end_at] => 2025-05-09T12:28:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00115
            [max_drawdown] => 0.00115
            [rr_ratio] => 1
            [high] => 0.06900000
            [low] => 0.06670000
            [mfe_pct] => 1.69
            [mae_pct] => 1.69
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 72
            [start_at] => 2025-05-09T10:28:33-04:00
            [end_at] => 2025-05-09T16:28:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07080000
            [high_after] => 0.06900000
            [low_before] => 0.06775000
            [low_after] => 0.06670000
            [is_new_high] => 
            [is_new_low] => 
        )

)