Trade

sell - LTC

Status

loss

2025-03-28 20:20:28

19 minutes

PNL

-0.27

Entry: 87.71

Last: 87.94800000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -80

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.13
atr: 0.15866671053918

Details

score: 1.13

Short Trade on LTC

The 28 Mar 2025 at 20:20:28

With 2948 LTC at 87.71$ per unit.

Take profit at 87.35 (0.41 %) and Stop Loss at 87.95 (0.27 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -30 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
UNI	2025-03-28 20:20:08	0.9328	-100	3
FIL	2025-03-28 20:22:41	0.933	-80	2
ORDI	2025-05-31 02:27:09	0.9281	30	3
WIF	2025-03-28 20:24:55	0.9289	100	1
GRIFFAIN	2025-05-17 08:21:04	0.9266	-100	2

📌 Time Data

Start at	Closed at	Duration
28 Mar 2025 20:20:28	28 Mar 2025 20:40:00	19 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
87.71	87.95	87.35	1.5	88.4

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 87.71
Stop Loss: 87.95
Take Profit: 87.35

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 87.95 - 87.71 = 0.24000000000001
Récompense (distance jusqu'au take profit):

E - TP = 87.71 - 87.35 = 0.36
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.36 / 0.24000000000001 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2948	2948	33.61	29.48

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 0.24000000000001

Taille de position = 8 / 0.24000000000001 = 33.33

Taille de position USD = 33.33 x 87.71 = 2923.37

Donc, tu peux acheter 33.33 avec un stoploss a 87.95

Avec un position size USD de 2923.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 33.33 x 0.24000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 33.33 x 0.36 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 33.33
Taille de position USD 2923.37
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.41 %	12 $

SL % Target	SL $ Target
0.27 %	8.1 $

RR	PNL	PNL %	Max Drawdown
1.5	-8 $	-0.27	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 87.35
            [entry_price] => 87.71
            [stop_loss] => 87.974
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-28 20:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 87.35
            [entry_price] => 87.71
            [stop_loss] => 87.998
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-28 20:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 87.35
            [entry_price] => 87.71
            [stop_loss] => 88.022
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-28 21:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 87.35
            [entry_price] => 87.71
            [stop_loss] => 88.07
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-28 21:15:00
            [result] => win
        )

)