Trade

sell - BROCCOLI

Status

loss

2025-03-29 06:33:42

6 minutes

PNL

-2.40

Entry: 0.05012

Last: 0.05130000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.07
atr: 0.000799387

Details

score: 1.07
long_trend_details: ema9 - 0.0486749
long_trend_details: ema21 - 0.0518053
long_trend_details: ema50 - 0.0548885
long_trend_details: ema9_ema21_diff - -6.04273
long_trend_details: ema21_ema50_diff - -5.61718
long_trend_details: ema9_ema50_diff - -11.3204
long_trend_details: price_ema21_diff - -3.2533
long_trend_details: all_emas_in_trend - True
long_trend_details: all_emas_and_price_in_trend - False

Short Trade on BROCCOLI

The 29 Mar 2025 at 06:33:42

With 334.4 BROCCOLI at 0.05012$ per unit.

Take profit at 0.04832 (3.6 %) and Stop Loss at 0.05132 (2.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 42.86 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
BSW	2025-04-03 10:22:22	0.9718	30	1
ORDI	2025-04-13 06:00:46	0.9678	100	1
ETH	2025-04-06 21:24:54	0.9668	100	4
DOT	2025-03-28 09:25:09	0.9671	60	1
ALCH	2025-03-29 22:53:51	0.9669	80	1
AIOT	2025-06-01 04:45:28	0.9668	30	1
AI16Z	2025-05-29 17:44:24	0.9659	-100	2

📌 Time Data

Start at	Closed at	Duration
29 Mar 2025 06:33:42	29 Mar 2025 06:40:00	6 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.05012	0.05132	0.04832	1.5	0.02455

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 0.05012
Stop Loss: 0.05132
Take Profit: 0.04832

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.05132 - 0.05012 = 0.0012
Récompense (distance jusqu'au take profit):

E - TP = 0.05012 - 0.04832 = 0.0018
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0018 / 0.0012 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
334.4	334.4	6672	3.34

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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.05012 = 334.13

Donc, tu peux acheter 6666.67 avec un stoploss a 0.05132

Avec un position size USD de 334.13$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 6666.67
Taille de position USD 334.13
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
3.6 %	12 $

SL % Target	SL $ Target
2.4 %	8 $

RR	PNL	PNL %	Max Drawdown
1.5	-8 $	-2.40	-3.1536926147705

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04832
            [entry_price] => 0.05012
            [stop_loss] => 0.05144
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 06:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04832
            [entry_price] => 0.05012
            [stop_loss] => 0.05156
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 06:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04832
            [entry_price] => 0.05012
            [stop_loss] => 0.05168
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 06:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04832
            [entry_price] => 0.05012
            [stop_loss] => 0.05192
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 06:50:00
            [result] => loss
        )

)