Short Trade on BRETT

Previous Trade Next Trade

Short Trade on BRETT 16 Apr 2025 at 07:01:10

Take profit at 0.03227 (1.35 %) and Stop Loss at 0.033 (0.89 %)

Short Trade on BRETT

The 16 Apr 2025 at 07:01:10

With 27279.4526 BRETT at 0.03271$ per unit.

Position size of 892.3109 $

Take profit at 0.03227 (1.35 %) and Stop Loss at 0.033 (0.89 %)

That's a 1.52 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.55

Prediction Score:

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: 0.08
atr: 0.0001955073446

Details

score: 1.08
1H
ema9 : 0.0326457
ema21 : 0.0336367
ema50 : 0.0341433
price_ema9_diff : 0.00190925
ema9_ema21_diff : -0.0294598
ema21_ema50_diff : -0.0148385
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.397174
kc_percentage : 0.273817
kc_width_percentage : 0.116503
15m
ema9 : 0.032315
ema21 : 0.0323224
ema50 : 0.0330312
price_ema9_diff : 0.012219
ema9_ema21_diff : -0.000229856
ema21_ema50_diff : -0.0214572
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.543017
kc_percentage : 0.776996
kc_width_percentage : 0.0442958
5m
ema9 : 0.03245
ema21 : 0.0322564
ema50 : 0.032204
price_ema9_diff : 0.00805896
ema9_ema21_diff : 0.00600326
ema21_ema50_diff : 0.0016271
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.679502
kc_percentage : 1.08209
kc_width_percentage : 0.0232939

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
16 Apr 2025 07:01:10	16 Apr 2025 07:10:00	8 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03271	0.033	0.03227	1.52	0.00685

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 0.03271
Stop Loss: 0.033
Take Profit: 0.03227

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.033 - 0.03271 = 0.00029
Récompense (distance jusqu'au take profit):

E - TP = 0.03271 - 0.03227 = 0.00044
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00044 / 0.00029 = 1.5172

📌 Position Size

Amount	Margin	Quantity	Leverage
892.3109	100	27279.4526	8.92

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 0.00029

Taille de position = 8 / 0.00029 = 27586.21

Taille de position USD = 27586.21 x 0.03271 = 902.34

Donc, tu peux acheter 27586.21 avec un stoploss a 0.033

Avec un position size USD de 902.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 27586.21 x 0.00029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 27586.21 x 0.00044 = 12.14

Si Take Profit atteint, tu gagneras 12.14$

Résumé

Taille de position 27586.21
Taille de position USD 902.34
Perte potentielle 8
Gain potentiel 12.14
Risk-Reward Ratio 1.5172

📌 Peformances

TP % Target	TP $ Target
1.35 %	12 $

SL % Target	SL $ Target
0.89 %	7.91 $

PNL	PNL %
-7.91 $	-0.89

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.88657902782023 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03227
            [entry_price] => 0.03271
            [stop_loss] => 0.033029
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-16 07:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03227
            [entry_price] => 0.03271
            [stop_loss] => 0.033058
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-16 07:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03227
            [entry_price] => 0.03271
            [stop_loss] => 0.033087
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-16 07:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03227
            [entry_price] => 0.03271
            [stop_loss] => 0.033145
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-16 07:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00022
            [max_drawdown] => 0.00090999999999999
            [rr_ratio] => 0.24
            [high] => 0.03362000
            [low] => 0.03249000
            [mfe_pct] => 0.67
            [mae_pct] => 2.78
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 24
            [start_at] => 2025-04-16T07:01:10-04:00
            [end_at] => 2025-04-16T09:01:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00087
            [max_drawdown] => 0.00147
            [rr_ratio] => 0.59
            [high] => 0.03418000
            [low] => 0.03184000
            [mfe_pct] => 2.66
            [mae_pct] => 4.49
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 72
            [start_at] => 2025-04-16T07:01:10-04:00
            [end_at] => 2025-04-16T13:01:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03288000
            [high_after] => 0.03418000
            [low_before] => 0.03128000
            [low_after] => 0.03184000
            [is_new_high] => 
            [is_new_low] => 
        )

)