Trade

sell - TAO

Status

loss

2025-03-28 18:05:16

4 minutes

PNL

-0.54

Entry: 243.8

Last: 245.09150000

Results

Status:

loss

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: 0.87435318855948

Details

score: 1.02

Short Trade on TAO

The 28 Mar 2025 at 18:05:16

With 1487 TAO at 243.8$ per unit.

Take profit at 241.8 (0.82 %) and Stop Loss at 245.1 (0.53 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -44.17 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
APE	2025-05-31 01:41:27	0.9689	-100	2
TON	2025-04-06 21:31:07	0.9668	60	1
TON	2025-05-31 00:36:21	0.9585	-100	1
GORK	2025-05-15 00:47:46	0.9637	-100	5
PEOPLE	2025-06-05 20:39:48	0.9597	35	2
NXPC	2025-06-05 20:34:11	0.9599	-60	1

📌 Time Data

Start at	Closed at	Duration
28 Mar 2025 18:05:16	28 Mar 2025 18:10:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
243.8	245.1	241.8	1.5	387.3

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 243.8
Stop Loss: 245.1
Take Profit: 241.8

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 245.1 - 243.8 = 1.3
Récompense (distance jusqu'au take profit):

E - TP = 243.8 - 241.8 = 2
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 2 / 1.3 = 1.5385

📌 Position Size

Amount	Margin	Quantity	Leverage
1487	1487	6.1	14.87

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 1.3

Taille de position = 8 / 1.3 = 6.15

Taille de position USD = 6.15 x 243.8 = 1499.37

Donc, tu peux acheter 6.15 avec un stoploss a 245.1

Avec un position size USD de 1499.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6.15 x 1.3 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6.15 x 2 = 12.3

Si Take Profit atteint, tu gagneras 12.3$

Résumé

Taille de position 6.15
Taille de position USD 1499.37
Perte potentielle 7.99
Gain potentiel 12.3
Risk-Reward Ratio 1.5385

📌 Peformances

TP % Target	TP $ Target
0.82 %	12 $

SL % Target	SL $ Target
0.53 %	7.9 $

RR	PNL	PNL %	Max Drawdown
1.5	-8 $	-0.54	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 241.8
            [entry_price] => 243.8
            [stop_loss] => 245.23
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-28 18:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 241.8
            [entry_price] => 243.8
            [stop_loss] => 245.36
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-28 18:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 241.8
            [entry_price] => 243.8
            [stop_loss] => 245.49
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-28 18:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 241.8
            [entry_price] => 243.8
            [stop_loss] => 245.75
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-28 18:10:00
            [result] => loss
        )

)