Trade

sell - BRETT

Status

win

2025-03-28 14:05:02

14 minutes

PNL

0.88

Entry: 0.03412

Last: 0.03380000

Results

Status:

win

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 70

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.12
atr: 0.00015139186799962

Details

score: 1.12

Short Trade on BRETT

The 28 Mar 2025 at 14:05:02

With 1202 BRETT at 0.03412$ per unit.

Take profit at 0.03378 (1 %) and Stop Loss at 0.03435 (0.67 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -66 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
WIF	2025-05-31 08:59:46	0.96	-30	2
HUMA	2025-05-31 09:08:45	0.959	-100	1
ENA	2025-04-09 01:31:08	0.9584	-100	1
GRIFFAIN	2025-03-26 22:50:07	0.9575	-100	2
DOT	2025-04-27 10:40:24	0.9573	30	1
RFC	2025-04-21 22:02:51	0.9563	-100	1
SIREN	2025-03-27 01:44:33	0.9557	-100	1
COOKIE	2025-05-26 22:45:44	0.9556	-100	1
ALCH	2025-03-30 05:03:42	0.9556	-100	1
ANIME	2025-04-16 20:32:28	0.9551	40	1

📌 Time Data

Start at	Closed at	Duration
28 Mar 2025 14:05:02	28 Mar 2025 14:20:00	14 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03412	0.03435	0.03378	1.5	0.04997

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 0.03412
Stop Loss: 0.03435
Take Profit: 0.03378

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.03435 - 0.03412 = 0.00023
Récompense (distance jusqu'au take profit):

E - TP = 0.03412 - 0.03378 = 0.00034
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00034 / 0.00023 = 1.4783

📌 Position Size

Amount	Margin	Quantity	Leverage
1202	1202	35230	12.02

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 0.00023

Taille de position = 8 / 0.00023 = 34782.61

Taille de position USD = 34782.61 x 0.03412 = 1186.78

Donc, tu peux acheter 34782.61 avec un stoploss a 0.03435

Avec un position size USD de 1186.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 34782.61 x 0.00023 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 34782.61 x 0.00034 = 11.83

Si Take Profit atteint, tu gagneras 11.83$

Résumé

Taille de position 34782.61
Taille de position USD 1186.78
Perte potentielle 8
Gain potentiel 11.83
Risk-Reward Ratio 1.4783

📌 Peformances

TP % Target	TP $ Target
1 %	12 $

SL % Target	SL $ Target
0.67 %	8.1 $

RR	PNL	PNL %	Max Drawdown
1.5	11 $	0.88	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.03366
            [stop_loss] => 0.03435
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 14:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.033545
            [stop_loss] => 0.03435
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 15:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.03343
            [stop_loss] => 0.03435
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 15:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.033315
            [stop_loss] => 0.03435
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 15:50:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)