Short Trade on ZRO

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Short Trade on ZRO 27 Apr 2025 at 14:39:04

Take profit at 2.8334 (0.65 %) and Stop Loss at 2.8644 (0.43 %)

Short Trade on ZRO

The 27 Apr 2025 at 14:39:04

With 645.4868 ZRO at 2.852$ per unit.

Position size of 1840.9282 $

Take profit at 2.8334 (0.65 %) and Stop Loss at 2.8644 (0.43 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.39

Prediction Score: 0

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.24
atr: 0.008262498386

Details

score: 1.24
1H
ema9 : 2.83621
ema21 : 2.8604
ema50 : 2.87332
price_ema9_diff : 0.00551693
ema9_ema21_diff : -0.00845616
ema21_ema50_diff : -0.00449455
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.472354
kc_percentage : 0.457314
kc_width_percentage : 0.0549513
15m
ema9 : 2.82983
ema21 : 2.82812
ema50 : 2.84301
price_ema9_diff : 0.00783829
ema9_ema21_diff : 0.00060264
ema21_ema50_diff : -0.00523485
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.594068
kc_percentage : 0.850158
kc_width_percentage : 0.0241672
5m
ema9 : 2.83791
ema21 : 2.82834
ema50 : 2.82545
price_ema9_diff : 0.00498155
ema9_ema21_diff : 0.00338314
ema21_ema50_diff : 0.00102256
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.684908
kc_percentage : 1.24208
kc_width_percentage : 0.0109576

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 14:39:04	27 Apr 2025 14:40:00	56 seconds

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.852	2.8644	2.8334	1.5	1.8187

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 2.852
Stop Loss: 2.8644
Take Profit: 2.8334

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.8644 - 2.852 = 0.0124
Récompense (distance jusqu'au take profit):

E - TP = 2.852 - 2.8334 = 0.0186
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0186 / 0.0124 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1840.9282	100	645.4868	18.41

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 0.0124

Taille de position = 8 / 0.0124 = 645.16

Taille de position USD = 645.16 x 2.852 = 1840

Donc, tu peux acheter 645.16 avec un stoploss a 2.8644

Avec un position size USD de 1840$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 645.16 x 0.0124 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 645.16 x 0.0186 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 645.16
Taille de position USD 1840
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.65 %	12.01 $

SL % Target	SL $ Target
0.43 %	8 $

PNL	PNL %
-7.75 $	-0.42

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.59607293127631 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.833
            [entry_price] => 2.852
            [stop_loss] => 2.8652
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.833
            [entry_price] => 2.852
            [stop_loss] => 2.8664
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.833
            [entry_price] => 2.852
            [stop_loss] => 2.8676
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.833
            [entry_price] => 2.852
            [stop_loss] => 2.87
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 14:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00099999999999989
            [max_drawdown] => 0.031
            [rr_ratio] => 0.03
            [high] => 2.88300000
            [low] => 2.85100000
            [mfe_pct] => 0.04
            [mae_pct] => 1.09
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T14:39:04-04:00
            [end_at] => 2025-04-27T16:39:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.051
            [rr_ratio] => 0.61
            [high] => 2.90300000
            [low] => 2.82100000
            [mfe_pct] => 1.09
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T14:39:04-04:00
            [end_at] => 2025-04-27T20:39:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.85200000
            [high_after] => 2.90300000
            [low_before] => 2.78500000
            [low_after] => 2.82100000
            [is_new_high] => 
            [is_new_low] => 
        )

)