Short Trade on BROCCOLI

The 29 Mar 2025 at 06:23:44

With 7207.4994 BROCCOLI at 0.04943$ per unit.

Position size of 356.2667 $

Take profit at 0.04777 (3.36 %) and Stop Loss at 0.05054 (2.25 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.51

Prediction Score:

Prediction 1	Probability
	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: 0.05
atr: 0.00073997

Details

score: 1.05
long_trend_details
ema9 - 0.0486749
ema21 - 0.0518053
ema50 - 0.0548885
ema9_ema21_diff - -6.04273
ema21_ema50_diff - -5.61718
ema9_ema50_diff - -11.3204
price_ema21_diff - -4.5852
all_emas_in_trend - True
all_emas_and_price_in_trend - False

📌 Time Data

Start at	Closed at	Duration
29 Mar 2025 06:23:44	29 Mar 2025 06:25:00	1 minute

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.04943	0.05054	0.04777	1.5	0.01299

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 0.04943
Stop Loss: 0.05054
Take Profit: 0.04777

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.05054 - 0.04943 = 0.00111
Récompense (distance jusqu'au take profit):

E - TP = 0.04943 - 0.04777 = 0.00166
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00166 / 0.00111 = 1.4955

📌 Position Size

Amount	Margin	Quantity	Leverage
356.2667	356.2667	7207.4994	3.56

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 0.00111

Taille de position = 8 / 0.00111 = 7207.21

Taille de position USD = 7207.21 x 0.04943 = 356.25

Donc, tu peux acheter 7207.21 avec un stoploss a 0.05054

Avec un position size USD de 356.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7207.21 x 0.00111 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7207.21 x 0.00166 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

Taille de position 7207.21
Taille de position USD 356.25
Perte potentielle 8
Gain potentiel 11.96
Risk-Reward Ratio 1.4955

📌 Peformances

TP % Target	TP $ Target
3.36 %	11.96 $

SL % Target	SL $ Target
2.25 %	8 $

PNL	PNL %
-7.93 $	-2.23

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.3279352226721 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04777
            [entry_price] => 0.04943
            [stop_loss] => 0.050651
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 06:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04777
            [entry_price] => 0.04943
            [stop_loss] => 0.050762
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 06:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04777
            [entry_price] => 0.04943
            [stop_loss] => 0.050873
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 06:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04777
            [entry_price] => 0.04943
            [stop_loss] => 0.051095
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 06:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00078
            [max_drawdown] => 0.0029
            [rr_ratio] => 0.27
            [high] => 0.05233000
            [low] => 0.04865000
            [mfe_pct] => 1.58
            [mae_pct] => 5.87
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T06:23:44-04:00
            [end_at] => 2025-03-29T08:23:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00151
            [max_drawdown] => 0.00306
            [rr_ratio] => 0.49
            [high] => 0.05249000
            [low] => 0.04792000
            [mfe_pct] => 3.05
            [mae_pct] => 6.19
            [mfe_mae_ratio] => 0.49
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T06:23:44-04:00
            [end_at] => 2025-03-29T12:23:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05058000
            [high_after] => 0.05249000
            [low_before] => 0.04519000
            [low_after] => 0.04792000
            [is_new_high] => 
            [is_new_low] => 
        )

)