Trade

sell - ETH

Status

loss

2025-03-26 21:05:06

19 minutes

PNL

-0.26

Entry: 2018

Last: 2023.24330000

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: 0.03
atr: 3.4621882629518

Details

score: 1.03

Short Trade on ETH

The 26 Mar 2025 at 21:05:06

With 3109 ETH at 2018$ per unit.

Take profit at 2010 (0.4 %) and Stop Loss at 2023 (0.25 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -38.75 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
JUP	2025-03-26 21:10:02	0.9882	-100	2
VIRTUAL	2025-03-26 21:05:06	0.9873	50	1
ADA	2025-03-26 21:05:06	0.9858	-100	1
XLM	2025-03-26 21:10:02	0.9829	-100	2
TAO	2025-03-26 21:05:06	0.9835	40	1
ORDI	2025-03-26 21:10:02	0.9816	-30	2
AAVE	2025-03-26 21:10:02	0.9795	-100	2
PAXG	2025-05-27 13:38:13	0.9768	30	1

📌 Time Data

Start at	Closed at	Duration
26 Mar 2025 21:05:06	26 Mar 2025 21:25:00	19 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2018	2023	2010	1.6	2456

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 2018
Stop Loss: 2023
Take Profit: 2010

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2023 - 2018 = 5
Récompense (distance jusqu'au take profit):

E - TP = 2018 - 2010 = 8
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 8 / 5 = 1.6

📌 Position Size

Amount	Margin	Quantity	Leverage
3109	3109	1.54	31.09

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 5

Taille de position = 8 / 5 = 1.6

Taille de position USD = 1.6 x 2018 = 3228.8

Donc, tu peux acheter 1.6 avec un stoploss a 2023

Avec un position size USD de 3228.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.6 x 5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.6 x 8 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

Taille de position 1.6
Taille de position USD 3228.8
Perte potentielle 8
Gain potentiel 12.8
Risk-Reward Ratio 1.6

📌 Peformances

TP % Target	TP $ Target
0.4 %	12 $

SL % Target	SL $ Target
0.25 %	7.7 $

RR	PNL	PNL %	Max Drawdown
1.6	-8 $	-0.26	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2010
            [entry_price] => 2018
            [stop_loss] => 2023.5
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-26 21:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2010
            [entry_price] => 2018
            [stop_loss] => 2024
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-26 21:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2010
            [entry_price] => 2018
            [stop_loss] => 2024.5
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-26 22:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2010
            [entry_price] => 2018
            [stop_loss] => 2025.5
            [rr_ratio] => 1.07
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-26 22:40:00
            [result] => loss
        )

)