Trade

sell - ARC

Status
win
2025-03-28 16:44:51
30 minutes
PNL
2.20
Entry: 0.05002
Last: 0.04890000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.00047680847927853
Details
  1. score: 1.25

Short Trade on ARC

The 28 Mar 2025 at 16:44:51

With 559.5 ARC at 0.05002$ per unit.

Take profit at 0.04895 (2.1 %) and Stop Loss at 0.05074 (1.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 1.67 %

Symbol Start at Seach Score Trade Score Trades Count
BMT 2025-05-08 18:10:17 0.8729 30 2
LAYER 2025-05-07 15:08:44 0.8668 46.67 3
CHILLGUY 2025-05-15 13:24:51 0.8675 40 1
ALCH 2025-05-20 15:15:53 0.8625 -100 1
KAITO 2025-05-25 07:29:41 0.8591 30 2
ARC 2025-05-28 13:19:31 0.8555 45 2
TUT 2025-03-26 12:55:13 0.8532 -80 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
16:44:51
28 Mar 2025
17:15:00
30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05002 0.05074 0.04895 1.5 0.03605
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 0.05002
  • Stop Loss: 0.05074
  • Take Profit: 0.04895

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05074 - 0.05002 = 0.00072

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05002 - 0.04895 = 0.00107

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00107 / 0.00072 = 1.4861

📌 Position Size

Amount Margin Quantity Leverage
559.5 559.5 11190 5.59
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 0.00072

Taille de position = 8 / 0.00072 = 11111.11

Taille de position USD = 11111.11 x 0.05002 = 555.78

Donc, tu peux acheter 11111.11 avec un stoploss a 0.05074

Avec un position size USD de 555.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11111.11 x 0.00072 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11111.11 x 0.00107 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

  • Taille de position 11111.11
  • Taille de position USD 555.78
  • Perte potentielle 8
  • Gain potentiel 11.89
  • Risk-Reward Ratio 1.4861

📌 Peformances

TP % Target TP $ Target
2.1 % 12 $
SL % Target SL $ Target
1.4 % 8.1 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.20 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04858
            [stop_loss] => 0.05074
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 17:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.04822
            [stop_loss] => 0.05074
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 18:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.04786
            [stop_loss] => 0.05074
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 18:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.0475
            [stop_loss] => 0.05074
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 18:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.04714
            [stop_loss] => 0.05074
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 18:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.04678
            [stop_loss] => 0.05074
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 18:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.04642
            [stop_loss] => 0.05074
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 18:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)