Trade

sell - GNO

Status
win
2025-03-28 20:34:49
2 hours
PNL
0.43
Entry: 123.9
Last: 123.41930000

Results

Status:
win
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: 0.11
  4. atr: 0.23588864816681
Details
  1. score: 1.11

Short Trade on GNO

The 28 Mar 2025 at 20:34:49

With 2802 GNO at 123.9$ per unit.

Take profit at 123.4 (0.4 %) and Stop Loss at 124.3 (0.32 %)

That's a 1.3 RR Trade

📌 Similar Trades

Similar Trade Score: -45 %

Symbol Start at Seach Score Trade Score Trades Count
EOS 2025-04-22 03:45:12 0.7339 -100 2
ZRC 2025-06-03 20:48:23 0.7291 -35 2
POPCAT 2025-04-15 22:21:31 0.7287 -60 1
TON 2025-04-05 13:26:34 0.7181 -100 2
BNB 2025-05-14 20:08:58 0.7162 -100 1
NEAR 2025-05-03 22:07:09 0.7115 40 1
RFC 2025-04-18 02:22:16 0.7106 30 1
ENA 2025-05-03 22:17:21 0.7106 -35 2

📌 Time Data

Start at Closed at Duration
28 Mar 2025
20:34:49
28 Mar 2025
22:40:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
123.9 124.3 123.4 1.3 123.4
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 123.9
  • Stop Loss: 124.3
  • Take Profit: 123.4

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 124.3 - 123.9 = 0.39999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 123.9 - 123.4 = 0.5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.5 / 0.39999999999999 = 1.25

📌 Position Size

Amount Margin Quantity Leverage
2802 2802 22.61 28.02
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 0.39999999999999

Taille de position = 8 / 0.39999999999999 = 20

Taille de position USD = 20 x 123.9 = 2478

Donc, tu peux acheter 20 avec un stoploss a 124.3

Avec un position size USD de 2478$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20 x 0.39999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20 x 0.5 = 10

Si Take Profit atteint, tu gagneras 10$

Résumé

  • Taille de position 20
  • Taille de position USD 2478
  • Perte potentielle 8
  • Gain potentiel 10
  • Risk-Reward Ratio 1.25

📌 Peformances

TP % Target TP $ Target
0.4 % 11 $
SL % Target SL $ Target
0.32 % 9 $
RR PNL PNL % Max Drawdown
1.3 12 $ 0.43 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 123.1
            [stop_loss] => 124.3
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 22:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 122.9
            [stop_loss] => 124.3
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 22:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 122.7
            [stop_loss] => 124.3
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 22:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 122.5
            [stop_loss] => 124.3
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 23:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 122.3
            [stop_loss] => 124.3
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 23:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)