Short Trade on ZRO

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Short Trade on ZRO 09 Apr 2025 at 00:31:25

Take profit at 2.2528 (1.58 %) and Stop Loss at 2.3131 (1.05 %)

Short Trade on ZRO

The 09 Apr 2025 at 00:31:25

With 331.9096 ZRO at 2.289$ per unit.

Position size of 759.741 $

Take profit at 2.2528 (1.58 %) and Stop Loss at 2.3131 (1.05 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: -0.33

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: 0.03
atr: 0.01606863469

Details

score: 1.03
1H
ema9 : 2.2718
ema21 : 2.33108
ema50 : 2.44966
price_ema9_diff : 0.00737823
ema9_ema21_diff : -0.0254319
ema21_ema50_diff : -0.0484063
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.384471
kc_percentage : 0.316624
kc_width_percentage : 0.0889139
15m
ema9 : 2.25681
ema21 : 2.25358
ema50 : 2.2871
price_ema9_diff : 0.0142809
ema9_ema21_diff : 0.00143294
ema21_ema50_diff : -0.0146569
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.581082
kc_percentage : 0.849277
kc_width_percentage : 0.0449393
5m
ema9 : 2.26655
ema21 : 2.25338
ema50 : 2.24894
price_ema9_diff : 0.00995955
ema9_ema21_diff : 0.0058446
ema21_ema50_diff : 0.00197607
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.67031
kc_percentage : 1.02931
kc_width_percentage : 0.0289088

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 00:31:25	09 Apr 2025 00:35:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.289	2.3131	2.2528	1.5	1.5904

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 2.289
Stop Loss: 2.3131
Take Profit: 2.2528

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.3131 - 2.289 = 0.0241
Récompense (distance jusqu'au take profit):

E - TP = 2.289 - 2.2528 = 0.0362
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0362 / 0.0241 = 1.5021

📌 Position Size

Amount	Margin	Quantity	Leverage
759.741	100	331.9096	7.60

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 0.0241

Taille de position = 8 / 0.0241 = 331.95

Taille de position USD = 331.95 x 2.289 = 759.83

Donc, tu peux acheter 331.95 avec un stoploss a 2.3131

Avec un position size USD de 759.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 331.95 x 0.0241 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 331.95 x 0.0362 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

Taille de position 331.95
Taille de position USD 759.83
Perte potentielle 8
Gain potentiel 12.02
Risk-Reward Ratio 1.5021

📌 Peformances

TP % Target	TP $ Target
1.58 %	12.02 $

SL % Target	SL $ Target
1.05 %	8 $

PNL	PNL %
-7.97 $	-1.05

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.4464831804281 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.253
            [entry_price] => 2.289
            [stop_loss] => 2.3154
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 00:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.253
            [entry_price] => 2.289
            [stop_loss] => 2.3178
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 00:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.253
            [entry_price] => 2.289
            [stop_loss] => 2.3202
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 00:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.253
            [entry_price] => 2.289
            [stop_loss] => 2.325
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 00:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.023
            [max_drawdown] => 0.083
            [rr_ratio] => -0.28
            [high] => 2.37200000
            [low] => 2.31200000
            [mfe_pct] => -1
            [mae_pct] => 3.63
            [mfe_mae_ratio] => -0.28
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T00:31:25-04:00
            [end_at] => 2025-04-09T02:31:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.023
            [max_drawdown] => 0.133
            [rr_ratio] => -0.17
            [high] => 2.42200000
            [low] => 2.31200000
            [mfe_pct] => -1
            [mae_pct] => 5.81
            [mfe_mae_ratio] => -0.17
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T00:31:25-04:00
            [end_at] => 2025-04-09T06:31:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.31500000
            [high_after] => 2.42200000
            [low_before] => 2.16400000
            [low_after] => 2.31200000
            [is_new_high] => 
            [is_new_low] => 
        )

)