Trade

sell - 1000RATS

Status

win

2025-03-26 21:14:58

15 minutes

PNL

0.95

Entry: 0.03153

Last: 0.03120000

Results

Status:

win

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 120

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.47
atr: 0.00014492181564942

Details

score: 1.47

Short Trade on 1000RATS

The 26 Mar 2025 at 21:14:58

With 36800 1000RATS at 0.03153$ per unit.

Position size of 1160 $

Take profit at 0.0312 (1 %) and Stop Loss at 0.03175 (0.7 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -15 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
ZEREBRO	2025-05-06 18:24:30	0.943	-100	6
B3	2025-05-28 17:56:21	0.9352	35	2
MEW	2025-05-14 16:23:32	0.9353	40	2
ANIME	2025-06-13 03:32:10	0.9346	-100	1
VINE	2025-05-14 16:15:09	0.9334	50	1

📌 Time Data

Start at	Closed at	Duration
26 Mar 2025 21:14:58	26 Mar 2025 21:30:00	15 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03153	0.03175	0.0312	1.5	0.01913

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 0.03153
Stop Loss: 0.03175
Take Profit: 0.0312

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.03175 - 0.03153 = 0.00022
Récompense (distance jusqu'au take profit):

E - TP = 0.03153 - 0.0312 = 0.00033
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00033 / 0.00022 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1160	1160	36800	11.60

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 0.00022

Taille de position = 8 / 0.00022 = 36363.64

Taille de position USD = 36363.64 x 0.03153 = 1146.55

Donc, tu peux acheter 36363.64 avec un stoploss a 0.03175

Avec un position size USD de 1146.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 36363.64 x 0.00022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 36363.64 x 0.00033 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 36363.64
Taille de position USD 1146.55
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1 %	12 $

SL % Target	SL $ Target
0.7 %	8.1 $

PNL	PNL %
11 $	0.95

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
0 %	0 %	0

📌 ML Extra Data

Extra TP Data


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    [2] => Array
        (
            [take_profit] => 0.03109
            [stop_loss] => 0.03175
            [rr_ratio] => 2
            [closed_at] => 2025-03-26 21:35:00
            [result] => win
        )

    [2.5] => Array
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            [take_profit] => 0.03098
            [stop_loss] => 0.03175
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-26 21:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.03087
            [stop_loss] => 0.03175
            [rr_ratio] => 3
            [closed_at] => 2025-03-26 23:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.03076
            [stop_loss] => 0.03175
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-26 23:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.03065
            [stop_loss] => 0.03175
            [rr_ratio] => 4
            [closed_at] => 2025-03-26 23:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.03054
            [stop_loss] => 0.03175
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-26 23:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.03043
            [stop_loss] => 0.03175
            [rr_ratio] => 5
            [closed_at] => 2025-03-26 23:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.03032
            [stop_loss] => 0.03175
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-26 23:55:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.03021
            [stop_loss] => 0.03175
            [rr_ratio] => 6
            [closed_at] => 2025-03-27 02:50:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)