Trade

buy - 1000BONK

Status

win

2025-03-26 08:24:27

30 minutes

PNL

1.34

Entry: 0.01492

Last: 0.01510000

Results

Status:

win

Trade Type:

buy

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.22
atr: 9.0006035001088E-5

Details

score: 2.22

Long Trade on 1000BONK

The 26 Mar 2025 at 08:24:27

With 884 1000BONK at 0.01492$ per unit.

Take profit at 0.01512 (1.3 %) and Stop Loss at 0.01478 (0.94 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -75.63 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
MOODENG	2025-03-26 09:34:46	0.9771	-100	1
INJ	2025-05-10 20:30:19	0.9731	30	1
NOT	2025-04-18 06:11:04	0.9714	-100	2
MASK	2025-06-06 12:18:41	0.9706	-100	2
WCT	2025-05-14 05:17:22	0.9703	-100	1
NEIROETH	2025-04-21 07:30:41	0.9697	-100	2
BGB	2025-05-23 04:15:06	0.9676	-100	2
WLD	2025-05-22 17:05:33	0.9673	-35	2

📌 Time Data

Start at	Closed at	Duration
26 Mar 2025 08:24:27	26 Mar 2025 08:55:00	30 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01492	0.01478	0.01512	1.4	0.01564

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 0.01492
Stop Loss: 0.01478
Take Profit: 0.01512

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01478 - 0.01492 = -0.00014
Récompense (distance jusqu'au take profit):

E - TP = 0.01492 - 0.01512 = -0.0002
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0002 / -0.00014 = 1.4286

📌 Position Size

Amount	Margin	Quantity	Leverage
884	884	59260	8.84

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 -0.00014

Taille de position = 8 / -0.00014 = -57142.86

Taille de position USD = -57142.86 x 0.01492 = -852.57

Donc, tu peux acheter -57142.86 avec un stoploss a 0.01478

Avec un position size USD de -852.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -57142.86 x -0.00014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -57142.86 x -0.0002 = 11.43

Si Take Profit atteint, tu gagneras 11.43$

Résumé

Taille de position -57142.86
Taille de position USD -852.57
Perte potentielle 8
Gain potentiel 11.43
Risk-Reward Ratio 1.4286

📌 Peformances

TP % Target	TP $ Target
1.3 %	12 $

SL % Target	SL $ Target
0.94 %	8.3 $

RR	PNL	PNL %	Max Drawdown
1.4	12 $	1.34	0

📌 ML Extra Data

Extra TP Data


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    [2] => Array
        (
            [take_profit] => 0.0152
            [stop_loss] => 0.01478
            [rr_ratio] => 2
            [closed_at] => 2025-03-26 09:20:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.01527
            [stop_loss] => 0.01478
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-26 09:20:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.01534
            [stop_loss] => 0.01478
            [rr_ratio] => 3
            [closed_at] => 2025-03-26 09:20:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.01541
            [stop_loss] => 0.01478
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-26 09:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01548
            [stop_loss] => 0.01478
            [rr_ratio] => 4
            [closed_at] => 2025-03-26 09:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.01555
            [stop_loss] => 0.01478
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-26 09:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01562
            [stop_loss] => 0.01478
            [rr_ratio] => 5
            [closed_at] => 2025-03-26 09:20:00
            [result] => loss
        )

)

Extra SL data


                              Array
(
)