Short Trade on ZEREBRO

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Short Trade on ZEREBRO 25 Apr 2025 at 18:53:15

Take profit at 0.04905 (5.78 %) and Stop Loss at 0.05406 (3.84 %)

Short Trade on ZEREBRO

The 25 Apr 2025 at 18:53:15

With 3990.7627 ZEREBRO at 0.05206$ per unit.

Position size of 207.7591 $

Take profit at 0.04905 (5.78 %) and Stop Loss at 0.05406 (3.84 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -80

ML Pullback Score: 2.83

Prediction Score: 5.5478

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: 0.02
atr: 0.001336419564

Details

score: 1.02
1H
ema9 : 0.0533442
ema21 : 0.0618044
ema50 : 0.0661751
price_ema9_diff : -0.0207797
ema9_ema21_diff : -0.136886
ema21_ema50_diff : -0.0660469
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.350462
kc_percentage : 0.0990659
kc_width_percentage : 0.443579
15m
ema9 : 0.049033
ema21 : 0.0499402
ema50 : 0.0567784
price_ema9_diff : 0.060612
ema9_ema21_diff : -0.0181655
ema21_ema50_diff : -0.120436
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.525927
kc_percentage : 0.750929
kc_width_percentage : 0.176599
5m
ema9 : 0.0503839
ema21 : 0.049033
ema50 : 0.0490858
price_ema9_diff : 0.0341813
ema9_ema21_diff : 0.0275521
ema21_ema50_diff : -0.00107725
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.68328
kc_percentage : 1.02024
kc_width_percentage : 0.109477

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
25 Apr 2025 18:53:15	25 Apr 2025 21:35:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.05206	0.05406	0.04905	1.51	0.00824

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 0.05206
Stop Loss: 0.05406
Take Profit: 0.04905

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.05406 - 0.05206 = 0.002
Récompense (distance jusqu'au take profit):

E - TP = 0.05206 - 0.04905 = 0.00301
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00301 / 0.002 = 1.505

📌 Position Size

Amount	Margin	Quantity	Leverage
207.7591	100	3990.7627	2.08

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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.05206 = 208.24

Donc, tu peux acheter 4000 avec un stoploss a 0.05406

Avec un position size USD de 208.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.00301 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

Taille de position 4000
Taille de position USD 208.24
Perte potentielle 8
Gain potentiel 12.04
Risk-Reward Ratio 1.505

📌 Peformances

TP % Target	TP $ Target
5.78 %	12.01 $

SL % Target	SL $ Target
3.84 %	7.98 $

PNL	PNL %
-7.98 $	-3.84

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-4.7829427583557 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04905
            [entry_price] => 0.05206
            [stop_loss] => 0.05426
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-25 21:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04905
            [entry_price] => 0.05206
            [stop_loss] => 0.05446
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-25 21:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04905
            [entry_price] => 0.05206
            [stop_loss] => 0.05466
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-26 00:35:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.04905
            [entry_price] => 0.05206
            [stop_loss] => 0.05506
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-26 00:35:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00197
            [max_drawdown] => 0.00123
            [rr_ratio] => 1.6
            [high] => 0.05329000
            [low] => 0.05009000
            [mfe_pct] => 3.78
            [mae_pct] => 2.36
            [mfe_mae_ratio] => 1.6
            [candles_analyzed] => 24
            [start_at] => 2025-04-25T18:53:15-04:00
            [end_at] => 2025-04-25T20:53:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00644
            [max_drawdown] => 0.00249
            [rr_ratio] => 2.59
            [high] => 0.05455000
            [low] => 0.04562000
            [mfe_pct] => 12.37
            [mae_pct] => 4.78
            [mfe_mae_ratio] => 2.59
            [candles_analyzed] => 72
            [start_at] => 2025-04-25T18:53:15-04:00
            [end_at] => 2025-04-26T00:53:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05377000
            [high_after] => 0.05455000
            [low_before] => 0.04561000
            [low_after] => 0.04562000
            [is_new_high] => 
            [is_new_low] => 
        )

)