Trade

sell - TAO

Status

win

2025-03-28 18:35:34

2 hours

PNL

0.88

Entry: 246

Last: 243.85240000

Results

Status:

win

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 90

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.12
atr: 0.95892643806022

Details

score: 1.12

Short Trade on TAO

The 28 Mar 2025 at 18:35:34

With 1368 TAO at 246$ per unit.

Take profit at 243.9 (0.85 %) and Stop Loss at 247.4 (0.57 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -23.73 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
APE	2025-05-31 01:41:27	0.9654	-100	2
GORK	2025-05-15 01:09:44	0.9617	-22	5
TIA	2025-06-05 21:10:25	0.9631	30	1
NXPC	2025-06-05 20:40:29	0.9601	-86.67	3
TON	2025-04-06 21:31:07	0.9586	60	1

📌 Time Data

Start at	Closed at	Duration
28 Mar 2025 18:35:34	28 Mar 2025 20:45:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
246	247.4	243.9	1.5	367.2

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 246
Stop Loss: 247.4
Take Profit: 243.9

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 247.4 - 246 = 1.4
Récompense (distance jusqu'au take profit):

E - TP = 246 - 243.9 = 2.1
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 2.1 / 1.4 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1368	1368	5.562	13.68

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 1.4

Taille de position = 8 / 1.4 = 5.71

Taille de position USD = 5.71 x 246 = 1404.66

Donc, tu peux acheter 5.71 avec un stoploss a 247.4

Avec un position size USD de 1404.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5.71 x 1.4 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5.71 x 2.1 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position 5.71
Taille de position USD 1404.66
Perte potentielle 7.99
Gain potentiel 11.99
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.85 %	12 $

SL % Target	SL $ Target
0.57 %	7.8 $

RR	PNL	PNL %	Max Drawdown
1.5	12 $	0.88	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 243.2
            [stop_loss] => 247.4
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 20:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 242.5
            [stop_loss] => 247.4
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 21:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 241.8
            [stop_loss] => 247.4
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 22:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 241.1
            [stop_loss] => 247.4
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 22:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 240.4
            [stop_loss] => 247.4
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 23:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 239.7
            [stop_loss] => 247.4
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 23:10:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)