Trade

sell - DOGS

Status

win

2025-03-28 11:25:04

44 minutes

PNL

1.13

Entry: 0.0001563

Last: 0.00015453

Results

Status:

win

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: 0.02
atr: 7.8545691070324E-7

Details

score: 1.02

Short Trade on DOGS

The 28 Mar 2025 at 11:25:04

With 1061 DOGS at 0.0001563$ per unit.

Take profit at 0.0001545 (1.2 %) and Stop Loss at 0.0001575 (0.77 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -35.83 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
TON	2025-04-07 01:21:07	0.9849	-100	5
VIRTUAL	2025-03-26 20:55:10	0.9815	-50	3
PI	2025-04-20 13:02:23	0.9814	40	1
GORK	2025-05-16 22:54:44	0.9772	-35	2
CETUS	2025-05-25 15:33:28	0.9758	30	1
ADA	2025-03-26 20:50:13	0.9753	-100	2

📌 Time Data

Start at	Closed at	Duration
28 Mar 2025 11:25:04	28 Mar 2025 12:10:00	44 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.0001563	0.0001575	0.0001545	1.5	0.0001566

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 0.0001563
Stop Loss: 0.0001575
Take Profit: 0.0001545

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.0001575 - 0.0001563 = 1.2E-6
Récompense (distance jusqu'au take profit):

E - TP = 0.0001563 - 0.0001545 = 1.8E-6
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 1.8E-6 / 1.2E-6 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1061	1061	6790000	10.61

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 1.2E-6

Taille de position = 8 / 1.2E-6 = 6666666.67

Taille de position USD = 6666666.67 x 0.0001563 = 1042

Donc, tu peux acheter 6666666.67 avec un stoploss a 0.0001575

Avec un position size USD de 1042$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666666.67 x 1.2E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666666.67 x 1.8E-6 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 6666666.67
Taille de position USD 1042
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.2 %	12 $

SL % Target	SL $ Target
0.77 %	8.1 $

RR	PNL	PNL %	Max Drawdown
1.5	12 $	1.13	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0001539
            [stop_loss] => 0.0001575
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 12:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0001533
            [stop_loss] => 0.0001575
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 12:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0001527
            [stop_loss] => 0.0001575
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 13:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0001521
            [stop_loss] => 0.0001575
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 14:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0001515
            [stop_loss] => 0.0001575
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 15:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0001509
            [stop_loss] => 0.0001575
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 15:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.0001503
            [stop_loss] => 0.0001575
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 15:40:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)