Trade

sell - TAO

Status
loss
2025-03-28 18:25:04
29 minutes
PNL
-0.58
Entry: 245.1
Last: 246.49000000

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:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.93999281673277
Details
  1. score: 1.02

Short Trade on TAO

The 28 Mar 2025 at 18:25:04

With 1391 TAO at 245.1$ per unit.

Take profit at 243 (0.86 %) and Stop Loss at 246.5 (0.57 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -20.56 %

Symbol Start at Seach Score Trade Score Trades Count
APE 2025-05-31 01:41:27 0.9692 -100 2
TIA 2025-06-05 21:10:25 0.967 30 1
GORK 2025-05-15 01:00:30 0.9644 -56.67 3
TON 2025-04-06 21:31:07 0.9636 60 1
TON 2025-05-31 01:01:27 0.9609 30 1
NXPC 2025-06-05 20:40:29 0.9621 -86.67 3

📌 Time Data

Start at Closed at Duration
28 Mar 2025
18:25:04
28 Mar 2025
18:55:00
29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
245.1 246.5 243 1.5 367.1
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 245.1
  • Stop Loss: 246.5
  • Take Profit: 243

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 246.5 - 245.1 = 1.4

  • Récompense (distance jusqu'au take profit):

    E - TP = 245.1 - 243 = 2.1

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 2.1 / 1.4 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1391 1391 5.674 13.91
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 245.1 = 1399.52

Donc, tu peux acheter 5.71 avec un stoploss a 246.5

Avec un position size USD de 1399.52$

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 1399.52
  • Perte potentielle 7.99
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.86 % 12 $
SL % Target SL $ Target
0.57 % 7.9 $
RR PNL PNL % Max Drawdown
1.5 -8 $ -0.58 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 243
            [entry_price] => 245.1
            [stop_loss] => 246.64
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-28 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 243
            [entry_price] => 245.1
            [stop_loss] => 246.78
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-28 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 243
            [entry_price] => 245.1
            [stop_loss] => 246.92
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-28 21:20:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 243
            [entry_price] => 245.1
            [stop_loss] => 247.2
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-28 21:20:00
            [result] => win
        )

)