Short Trade on ZRO

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

Take profit at 2.8218 (0.68 %) and Stop Loss at 2.8538 (0.45 %)

Short Trade on ZRO

The 27 Apr 2025 at 14:27:04

With 624.0573 ZRO at 2.841$ per unit.

Position size of 1772.9468 $

Take profit at 2.8218 (0.68 %) and Stop Loss at 2.8538 (0.45 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.19

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: 0.02
atr: 0.008546223784

Details

score: 1.02
1H
ema9 : 2.83401
ema21 : 2.8594
ema50 : 2.87289
price_ema9_diff : 0.0024413
ema9_ema21_diff : -0.00887879
ema21_ema50_diff : -0.00469316
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.453688
kc_percentage : 0.392159
kc_width_percentage : 0.0543193
15m
ema9 : 2.82409
ema21 : 2.82564
ema50 : 2.8426
price_ema9_diff : 0.00598433
ema9_ema21_diff : -0.000551897
ema21_ema50_diff : -0.0059645
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.554822
kc_percentage : 0.719966
kc_width_percentage : 0.0252356
5m
ema9 : 2.83103
ema21 : 2.82378
ema50 : 2.82346
price_ema9_diff : 0.00352891
ema9_ema21_diff : 0.00256825
ema21_ema50_diff : 0.000112938
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.629892
kc_percentage : 1.01985
kc_width_percentage : 0.0114422

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 14:27:04	27 Apr 2025 14:40:00	12 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.841	2.8538	2.8218	1.5	1.6973

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 2.841
Stop Loss: 2.8538
Take Profit: 2.8218

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.8538 - 2.841 = 0.0128
Récompense (distance jusqu'au take profit):

E - TP = 2.841 - 2.8218 = 0.0192
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0192 / 0.0128 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1772.9468	100	624.0573	17.73

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 0.0128

Taille de position = 8 / 0.0128 = 625

Taille de position USD = 625 x 2.841 = 1775.63

Donc, tu peux acheter 625 avec un stoploss a 2.8538

Avec un position size USD de 1775.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 625 x 0.0128 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 625 x 0.0192 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 625
Taille de position USD 1775.63
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.68 %	11.98 $

SL % Target	SL $ Target
0.45 %	7.99 $

PNL	PNL %
-8.11 $	-0.46

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.63357972544878 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.822
            [entry_price] => 2.841
            [stop_loss] => 2.8553
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.822
            [entry_price] => 2.841
            [stop_loss] => 2.8566
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.822
            [entry_price] => 2.841
            [stop_loss] => 2.8579
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.822
            [entry_price] => 2.841
            [stop_loss] => 2.8605
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.042
            [rr_ratio] => 0
            [high] => 2.88300000
            [low] => 2.84100000
            [mfe_pct] => 0
            [mae_pct] => 1.48
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T14:27:04-04:00
            [end_at] => 2025-04-27T16:27:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02
            [max_drawdown] => 0.062
            [rr_ratio] => 0.32
            [high] => 2.90300000
            [low] => 2.82100000
            [mfe_pct] => 0.7
            [mae_pct] => 2.18
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T14:27:04-04:00
            [end_at] => 2025-04-27T20:27:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.85000000
            [high_after] => 2.90300000
            [low_before] => 2.78500000
            [low_after] => 2.82100000
            [is_new_high] => 
            [is_new_low] => 
        )

)