Long Trade on BROCCOLI

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Long Trade on BROCCOLI 27 Mar 2025 at 19:04:38

Take profit at 0.07391 (6.85 %) and Stop Loss at 0.06601 (4.57 %)

Long Trade on BROCCOLI

The 27 Mar 2025 at 19:04:38

With 2531.3581 BROCCOLI at 0.06917$ per unit.

Position size of 175.094 $

Take profit at 0.07391 (6.85 %) and Stop Loss at 0.06601 (4.57 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.83

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.17
atr: 0.0021069058850732

Details

score: 2.17

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Mar 2025 19:04:38	27 Mar 2025 20:00:00	55 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.06917	0.06601	0.07391	1.5	0.01275

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 0.06917
Stop Loss: 0.06601
Take Profit: 0.07391

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.06601 - 0.06917 = -0.00316
Récompense (distance jusqu'au take profit):

E - TP = 0.06917 - 0.07391 = -0.00474
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00474 / -0.00316 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
175.094	175.094	2531.3581	1.75

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 -0.00316

Taille de position = 8 / -0.00316 = -2531.65

Taille de position USD = -2531.65 x 0.06917 = -175.11

Donc, tu peux acheter -2531.65 avec un stoploss a 0.06601

Avec un position size USD de -175.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2531.65 x -0.00316 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2531.65 x -0.00474 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -2531.65
Taille de position USD -175.11
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
6.85 %	12 $

SL % Target	SL $ Target
4.57 %	8 $

PNL	PNL %
-8.1 $	-4.62

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

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07391
            [entry_price] => 0.06917
            [stop_loss] => 0.065694
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-27 20:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07391
            [entry_price] => 0.06917
            [stop_loss] => 0.065378
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-27 20:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07391
            [entry_price] => 0.06917
            [stop_loss] => 0.065062
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-27 20:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07391
            [entry_price] => 0.06917
            [stop_loss] => 0.06443
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-27 20:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0041
            [max_drawdown] => 0.00666
            [rr_ratio] => 0.62
            [high] => 0.07327000
            [low] => 0.06251000
            [mfe_pct] => 5.93
            [mae_pct] => 9.63
            [mfe_mae_ratio] => 0.62
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T19:04:38-04:00
            [end_at] => 2025-03-27T21:04:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0041
            [max_drawdown] => 0.00747
            [rr_ratio] => 0.55
            [high] => 0.07327000
            [low] => 0.06170000
            [mfe_pct] => 5.93
            [mae_pct] => 10.8
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T19:04:38-04:00
            [end_at] => 2025-03-28T01:04:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08477000
            [high_after] => 0.07327000
            [low_before] => 0.06846000
            [low_after] => 0.06170000
            [is_new_high] => 
            [is_new_low] => 
        )

)