Short Trade on BRETT

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Short Trade on BRETT 04 May 2025 at 17:07:40

Take profit at 0.05412 (1.2 %) and Stop Loss at 0.05522 (0.8 %)

Short Trade on BRETT

The 04 May 2025 at 17:07:40

With 18247.3913 BRETT at 0.05478$ per unit.

Position size of 999.5921 $

Take profit at 0.05412 (1.2 %) and Stop Loss at 0.05522 (0.8 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 90

ML Pullback Score: 8

Prediction Score: 0

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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
atr: 0.0002922792225

Details

score: 1
1H
ema9 : 0.054704
ema21 : 0.0557481
ema50 : 0.0582828
price_ema9_diff : 0.00136263
ema9_ema21_diff : -0.0187295
ema21_ema50_diff : -0.0434892
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.403591
kc_percentage : 0.328007
kc_width_percentage : 0.0923815
15m
ema9 : 0.054286
ema21 : 0.0544056
ema50 : 0.0550056
price_ema9_diff : 0.00907837
ema9_ema21_diff : -0.00219797
ema21_ema50_diff : -0.0109073
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.528206
kc_percentage : 0.658951
kc_width_percentage : 0.0453314
5m
ema9 : 0.0544599
ema21 : 0.054219
ema50 : 0.0542657
price_ema9_diff : 0.00590258
ema9_ema21_diff : 0.00444333
ema21_ema50_diff : -0.000860295
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.620421
kc_percentage : 1.00291
kc_width_percentage : 0.0199783

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 17:07:40	04 May 2025 17:10:00	2 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.05478	0.05522	0.05412	1.5	0.00729

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 0.05478
Stop Loss: 0.05522
Take Profit: 0.05412

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.05522 - 0.05478 = 0.00044
Récompense (distance jusqu'au take profit):

E - TP = 0.05478 - 0.05412 = 0.00066
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00066 / 0.00044 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
999.5921	100	18247.3913	10.00

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 0.00044

Taille de position = 8 / 0.00044 = 18181.82

Taille de position USD = 18181.82 x 0.05478 = 996

Donc, tu peux acheter 18181.82 avec un stoploss a 0.05522

Avec un position size USD de 996$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 18181.82 x 0.00044 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 18181.82 x 0.00066 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 18181.82
Taille de position USD 996
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.2 %	12.04 $

SL % Target	SL $ Target
0.8 %	8.03 $

PNL	PNL %
12.04 $	1.20

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

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0539
            [stop_loss] => 0.05522
            [rr_ratio] => 2
            [closed_at] => 2025-05-04 18:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.05368
            [stop_loss] => 0.05522
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-04 18:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.05346
            [stop_loss] => 0.05522
            [rr_ratio] => 3
            [closed_at] => 2025-05-04 18:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.05324
            [stop_loss] => 0.05522
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-04 18:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.05302
            [stop_loss] => 0.05522
            [rr_ratio] => 4
            [closed_at] => 2025-05-04 19:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0528
            [stop_loss] => 0.05522
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-04 19:30:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00169
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.05476000
            [low] => 0.05309000
            [mfe_pct] => 3.09
            [mae_pct] => -0.04
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T17:07:40-04:00
            [end_at] => 2025-05-04T19:07:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00212
            [max_drawdown] => 0.0002
            [rr_ratio] => 10.6
            [high] => 0.05498000
            [low] => 0.05266000
            [mfe_pct] => 3.87
            [mae_pct] => 0.37
            [mfe_mae_ratio] => 10.6
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T17:07:40-04:00
            [end_at] => 2025-05-04T23:07:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05555000
            [high_after] => 0.05498000
            [low_before] => 0.05212000
            [low_after] => 0.05266000
            [is_new_high] => 
            [is_new_low] => 
        )

)