Short Trade on ZRO

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Short Trade on ZRO 09 Apr 2025 at 00:41:26

Take profit at 2.2803 (1.75 %) and Stop Loss at 2.3481 (1.17 %)

Short Trade on ZRO

The 09 Apr 2025 at 00:41:26

With 295.0929 ZRO at 2.321$ per unit.

Position size of 684.9107 $

Take profit at 2.2803 (1.75 %) and Stop Loss at 2.3481 (1.17 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.02

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: 0.19
atr: 0.01807340206

Details

score: 1.19
1H
ema9 : 2.2782
ema21 : 2.33399
ema50 : 2.45091
price_ema9_diff : 0.0183373
ema9_ema21_diff : -0.0239045
ema21_ema50_diff : -0.0477066
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.440013
kc_percentage : 0.462692
kc_width_percentage : 0.0966496
15m
ema9 : 2.26321
ema21 : 2.25649
ema50 : 2.28836
price_ema9_diff : 0.0256075
ema9_ema21_diff : 0.00297815
ema21_ema50_diff : -0.013926
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.637858
kc_percentage : 1.01794
kc_width_percentage : 0.0539707
5m
ema9 : 2.28974
ema21 : 2.26717
ema50 : 2.25525
price_ema9_diff : 0.0137877
ema9_ema21_diff : 0.00995124
ema21_ema50_diff : 0.0052863
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.726332
kc_percentage : 1.19105
kc_width_percentage : 0.0328753

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 00:41:26	09 Apr 2025 00:45:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.321	2.3481	2.2803	1.5	1.5846

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 2.321
Stop Loss: 2.3481
Take Profit: 2.2803

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.3481 - 2.321 = 0.0271
Récompense (distance jusqu'au take profit):

E - TP = 2.321 - 2.2803 = 0.0407
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0407 / 0.0271 = 1.5018

📌 Position Size

Amount	Margin	Quantity	Leverage
684.9107	100	295.0929	6.85

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 0.0271

Taille de position = 8 / 0.0271 = 295.2

Taille de position USD = 295.2 x 2.321 = 685.16

Donc, tu peux acheter 295.2 avec un stoploss a 2.3481

Avec un position size USD de 685.16$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 295.2 x 0.0271 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 295.2 x 0.0407 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

Taille de position 295.2
Taille de position USD 685.16
Perte potentielle 8
Gain potentiel 12.01
Risk-Reward Ratio 1.5018

📌 Peformances

TP % Target	TP $ Target
1.75 %	12.01 $

SL % Target	SL $ Target
1.17 %	8 $

PNL	PNL %
-7.97 $	-1.16

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.6372253339078 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.28
            [entry_price] => 2.321
            [stop_loss] => 2.3507
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 00:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.28
            [entry_price] => 2.321
            [stop_loss] => 2.3534
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 00:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.28
            [entry_price] => 2.321
            [stop_loss] => 2.3561
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 00:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.28
            [entry_price] => 2.321
            [stop_loss] => 2.3615
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 00:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0010000000000003
            [max_drawdown] => 0.051
            [rr_ratio] => 0.02
            [high] => 2.37200000
            [low] => 2.32000000
            [mfe_pct] => 0.04
            [mae_pct] => 2.2
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T00:41:26-04:00
            [end_at] => 2025-04-09T02:41:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0010000000000003
            [max_drawdown] => 0.101
            [rr_ratio] => 0.01
            [high] => 2.42200000
            [low] => 2.32000000
            [mfe_pct] => 0.04
            [mae_pct] => 4.35
            [mfe_mae_ratio] => 0.01
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T00:41:26-04:00
            [end_at] => 2025-04-09T06:41:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.34500000
            [high_after] => 2.42200000
            [low_before] => 2.16400000
            [low_after] => 2.32000000
            [is_new_high] => 
            [is_new_low] => 
        )

)