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Trade

sell - BGB

Status
win
2025-03-28 16:44:51
5 minutes
PNL
0.43
Entry: 4.796
Last: 4.77530000

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: 0.01
  4. atr: 0.0092180741164038
Details
  1. score: 1.01

Short Trade on BGB

The 28 Mar 2025 at 16:44:51

With 578.6 BGB at 4.796$ per unit.

Position size of 2775 $

Take profit at 4.775 (0.44 %) and Stop Loss at 4.81 (0.29 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -4.55 %

Symbol Start at Seach Score Trade Score Trades Count
XLM 2025-04-07 08:30:35 0.9257 -70 1
ENS 2025-05-05 03:49:21 0.9194 30 2
PUFFER 2025-04-03 18:02:24 0.917 40 1
PI 2025-03-31 11:43:59 0.9158 -100 1
CETUS 2025-05-25 18:53:03 0.9137 40 2
PNUT 2025-05-17 10:29:49 0.9128 -100 2
VIRTUAL 2025-06-13 03:30:54 0.9133 -100 1
GORK 2025-05-12 20:19:07 0.9128 60 1
SEI 2025-06-12 13:18:55 0.9127 40 1
LINK 2025-06-12 13:32:28 0.9124 40 1
TRX 2025-05-06 15:00:23 0.9123 70 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
16:44:51		 28 Mar 2025
16:50:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.796 4.81 4.775 1.5 4.405
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 4.796
  • Stop Loss: 4.81
  • Take Profit: 4.775

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.81 - 4.796 = 0.013999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.796 - 4.775 = 0.021

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.021 / 0.013999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2775 2775 578.6 27.75
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 0.013999999999999

Taille de position = 8 / 0.013999999999999 = 571.43

Taille de position USD = 571.43 x 4.796 = 2740.58

Donc, tu peux acheter 571.43 avec un stoploss a 4.81

Avec un position size USD de 2740.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 571.43 x 0.013999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 571.43 x 0.021 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 571.43
  • Taille de position USD 2740.58
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.44 % 12 $
SL % Target SL $ Target
0.29 % 8.1 $
PNL PNL %
12 $ 0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4.768
            [stop_loss] => 4.81
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 17:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.761
            [stop_loss] => 4.81
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 4.754
            [stop_loss] => 4.81
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 4.747
            [stop_loss] => 4.81
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 4.74
            [stop_loss] => 4.81
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 4.733
            [stop_loss] => 4.81
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 4.726
            [stop_loss] => 4.81
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 4.719
            [stop_loss] => 4.81
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 4.712
            [stop_loss] => 4.81
            [rr_ratio] => 6
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 4.705
            [stop_loss] => 4.81
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 4.698
            [stop_loss] => 4.81
            [rr_ratio] => 7
            [closed_at] => 2025-03-28 19:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)