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Trade

sell - API3

Status
win
2025-03-28 22:34:51
5 minutes
PNL
1.80
Entry: 1.186
Last: 1.16470000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0094635837209765
Details
  1. score: 1.04

Short Trade on API3

The 28 Mar 2025 at 22:34:51

With 563.6 API3 at 1.186$ per unit.

Position size of 668.4 $

Take profit at 1.165 (1.8 %) and Stop Loss at 1.2 (1.2 %)

That's a 1.5 RR Trade

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Similar Trade Score: -50.91 %

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ALCH 2025-04-19 04:11:33 0.7515 40 1
FARTCOIN 2025-06-22 10:52:28 0.7477 30 1
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HOME 2025-06-18 06:06:17 0.7241 30 2
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BMT 2025-06-30 08:25:18 0.7194 -100 2
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NEIROETH 2025-05-21 06:08:15 0.7145 -100 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
22:34:51		 28 Mar 2025
22:40:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.186 1.2 1.165 1.5 0.8526
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 1.186
  • Stop Loss: 1.2
  • Take Profit: 1.165

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.2 - 1.186 = 0.014

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.186 - 1.165 = 0.021

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.021 / 0.014 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
668.4 668.4 563.6 6.68
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 0.014

Taille de position = 8 / 0.014 = 571.43

Taille de position USD = 571.43 x 1.186 = 677.72

Donc, tu peux acheter 571.43 avec un stoploss a 1.2

Avec un position size USD de 677.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 571.43 x 0.014 = 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 677.72
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.8 % 12 $
SL % Target SL $ Target
1.2 % 7.9 $
PNL PNL %
12 $ 1.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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(
    [2] => Array
        (
            [take_profit] => 1.158
            [stop_loss] => 1.2
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 23:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.151
            [stop_loss] => 1.2
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 23:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.144
            [stop_loss] => 1.2
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 00:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.137
            [stop_loss] => 1.2
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 04:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.13
            [stop_loss] => 1.2
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 04:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.123
            [stop_loss] => 1.2
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 04:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.116
            [stop_loss] => 1.2
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 04:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.109
            [stop_loss] => 1.2
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-29 04:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.102
            [stop_loss] => 1.2
            [rr_ratio] => 6
            [closed_at] => 2025-03-29 04:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.095
            [stop_loss] => 1.2
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-29 04:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.088
            [stop_loss] => 1.2
            [rr_ratio] => 7
            [closed_at] => 2025-03-29 04:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)