Short Trade on ZRO

Previous Trade Next Trade

Short Trade on ZRO 27 Apr 2025 at 14:31:55

Take profit at 2.8248 (0.64 %) and Stop Loss at 2.8551 (0.43 %)

Short Trade on ZRO

The 27 Apr 2025 at 14:31:55

With 660.1454 ZRO at 2.843$ per unit.

Position size of 1876.7934 $

Take profit at 2.8248 (0.64 %) and Stop Loss at 2.8551 (0.43 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.16

Prediction Score: 1

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: 0.07
atr: 0.008079028179

Details

score: 1.07
1H
ema9 : 2.83441
ema21 : 2.85958
ema50 : 2.87296
price_ema9_diff : 0.00300067
ema9_ema21_diff : -0.00880192
ema21_ema50_diff : -0.00465704
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.457179
kc_percentage : 0.403885
kc_width_percentage : 0.0542811
15m
ema9 : 2.82803
ema21 : 2.8273
ema50 : 2.84265
price_ema9_diff : 0.00529397
ema9_ema21_diff : 0.000255552
ema21_ema50_diff : -0.00539916
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.56229
kc_percentage : 0.744803
kc_width_percentage : 0.0229774
5m
ema9 : 2.83358
ema21 : 2.82561
ema50 : 2.82423
price_ema9_diff : 0.00333093
ema9_ema21_diff : 0.00282263
ema21_ema50_diff : 0.000489054
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.643329
kc_percentage : 1.06603
kc_width_percentage : 0.0105722

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 14:31:55	27 Apr 2025 14:40:00	8 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.843	2.8551	2.8248	1.5	1.7599

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 2.843
Stop Loss: 2.8551
Take Profit: 2.8248

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.8551 - 2.843 = 0.0121
Récompense (distance jusqu'au take profit):

E - TP = 2.843 - 2.8248 = 0.0182
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0182 / 0.0121 = 1.5041

📌 Position Size

Amount	Margin	Quantity	Leverage
1876.7934	100	660.1454	18.77

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 0.0121

Taille de position = 8 / 0.0121 = 661.16

Taille de position USD = 661.16 x 2.843 = 1879.68

Donc, tu peux acheter 661.16 avec un stoploss a 2.8551

Avec un position size USD de 1879.68$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 661.16 x 0.0121 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 661.16 x 0.0182 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

Taille de position 661.16
Taille de position USD 1879.68
Perte potentielle 8
Gain potentiel 12.03
Risk-Reward Ratio 1.5041

📌 Peformances

TP % Target	TP $ Target
0.64 %	12.01 $

SL % Target	SL $ Target
0.43 %	7.99 $

PNL	PNL %
-7.92 $	-0.42

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.56278578965881 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.825
            [entry_price] => 2.843
            [stop_loss] => 2.8562
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.825
            [entry_price] => 2.843
            [stop_loss] => 2.8574
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.825
            [entry_price] => 2.843
            [stop_loss] => 2.8586
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.825
            [entry_price] => 2.843
            [stop_loss] => 2.861
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0030000000000001
            [max_drawdown] => 0.04
            [rr_ratio] => -0.08
            [high] => 2.88300000
            [low] => 2.84600000
            [mfe_pct] => -0.11
            [mae_pct] => 1.41
            [mfe_mae_ratio] => -0.08
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T14:31:55-04:00
            [end_at] => 2025-04-27T16:31:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.06
            [rr_ratio] => 0.37
            [high] => 2.90300000
            [low] => 2.82100000
            [mfe_pct] => 0.77
            [mae_pct] => 2.11
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T14:31:55-04:00
            [end_at] => 2025-04-27T20:31:55-04:00
        )

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

)