Short Trade on REZ

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Short Trade on REZ 18 Apr 2025 at 02:11:05

Take profit at 0.01197 (1.07 %) and Stop Loss at 0.01219 (0.74 %)

Short Trade on REZ

The 18 Apr 2025 at 02:11:05

With 92892.2431 REZ at 0.0121$ per unit.

Position size of 1123.9961 $

Take profit at 0.01197 (1.07 %) and Stop Loss at 0.01219 (0.74 %)

That's a 1.44 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.2

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.02
atr: 5.741419469E-5

Details

score: 1.02
1H
ema9 : 0.0121053
ema21 : 0.0122517
ema50 : 0.0125353
price_ema9_diff : -0.000432616
ema9_ema21_diff : -0.0119528
ema21_ema50_diff : -0.0226279
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.416869
kc_percentage : 0.322113
kc_width_percentage : 0.0657574
15m
ema9 : 0.0119854
ema21 : 0.0120306
ema50 : 0.0121745
price_ema9_diff : 0.00952339
ema9_ema21_diff : -0.00375534
ema21_ema50_diff : -0.0118253
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.520436
kc_percentage : 0.663781
kc_width_percentage : 0.0379704
5m
ema9 : 0.0120343
ema21 : 0.0119841
ema50 : 0.0119991
price_ema9_diff : 0.00548193
ema9_ema21_diff : 0.00418256
ema21_ema50_diff : -0.00124429
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.667086
kc_percentage : 1.01802
kc_width_percentage : 0.0181497

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 02:11:05	18 Apr 2025 02:15:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.0121	0.01219	0.01197	1.44	0.002665

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 0.0121
Stop Loss: 0.01219
Take Profit: 0.01197

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01219 - 0.0121 = 9.0E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.0121 - 0.01197 = 0.00013
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00013 / 9.0E-5 = 1.4444

📌 Position Size

Amount	Margin	Quantity	Leverage
1123.9961	100	92892.2431	11.24

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 9.0E-5

Taille de position = 8 / 9.0E-5 = 88888.89

Taille de position USD = 88888.89 x 0.0121 = 1075.56

Donc, tu peux acheter 88888.89 avec un stoploss a 0.01219

Avec un position size USD de 1075.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 88888.89 x 9.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 88888.89 x 0.00013 = 11.56

Si Take Profit atteint, tu gagneras 11.56$

Résumé

Taille de position 88888.89
Taille de position USD 1075.56
Perte potentielle 8
Gain potentiel 11.56
Risk-Reward Ratio 1.4444

📌 Peformances

TP % Target	TP $ Target
1.07 %	12.08 $

SL % Target	SL $ Target
0.74 %	8.36 $

PNL	PNL %
-8.36 $	-0.74

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.74380165289256 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01197
            [entry_price] => 0.0121
            [stop_loss] => 0.012199
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 03:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01197
            [entry_price] => 0.0121
            [stop_loss] => 0.012208
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 03:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01197
            [entry_price] => 0.0121
            [stop_loss] => 0.012217
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 03:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01197
            [entry_price] => 0.0121
            [stop_loss] => 0.012235
            [rr_ratio] => 0.96
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 03:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.9999999999999E-5
            [max_drawdown] => 0.00019
            [rr_ratio] => 0.16
            [high] => 0.01229000
            [low] => 0.01207000
            [mfe_pct] => 0.25
            [mae_pct] => 1.57
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T02:11:05-04:00
            [end_at] => 2025-04-18T04:11:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.9999999999999E-5
            [max_drawdown] => 0.00025
            [rr_ratio] => 0.12
            [high] => 0.01235000
            [low] => 0.01207000
            [mfe_pct] => 0.25
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T02:11:05-04:00
            [end_at] => 2025-04-18T08:11:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01220000
            [high_after] => 0.01235000
            [low_before] => 0.01173000
            [low_after] => 0.01207000
            [is_new_high] => 
            [is_new_low] => 
        )

)