Trade

sell - PARTI

Status
win
2025-04-06 17:22:32
17 minutes
PNL
1.55
Entry: 0.1617
Last: 0.15920000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.001090827925
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.162052
  4. ema21 - 0.166225
  5. ema50 - 0.173831
  6. price_ema9_diff - -0.00211907
  7. ema9_ema21_diff - -0.0251047
  8. ema21_ema50_diff - -0.0437578
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - True
  11. rsi - 0.374504
  12. kc_percentage - 0.258035
  13. kc_width_percentage - 0.107343
  14. ¸
  15. 15m
  16. ema9 - 0.159399
  17. ema21 - 0.160446
  18. ema50 - 0.163533
  19. price_ema9_diff - 0.0143369
  20. ema9_ema21_diff - -0.00652622
  21. ema21_ema50_diff - -0.0188761
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.518768
  25. kc_percentage - 0.665875
  26. kc_width_percentage - 0.0510091
  27. ¸
  28. 5m
  29. ema9 - 0.159573
  30. ema21 - 0.159009
  31. ema50 - 0.159818
  32. price_ema9_diff - 0.0133748
  33. ema9_ema21_diff - 0.00354623
  34. ema21_ema50_diff - -0.00506277
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.680783
  38. kc_percentage - 1.1068
  39. kc_width_percentage - 0.0274188
  40. ¸

Short Trade on PARTI

The 06 Apr 2025 at 17:22:32

With 4889 PARTI at 0.1617$ per unit.

Position size of 790.6 $

Take profit at 0.1592 (1.5 %) and Stop Loss at 0.1633 (0.99 %)

That's a 1.6 RR Trade

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Similar Trade Score: -44.09 %

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MKR 2025-06-26 15:44:44 0.9365 -100 1
COMP 2025-06-13 01:25:49 0.9358 40 1
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BGB 2025-05-30 14:29:24 0.9356 30 1

📌 Time Data

Start at Closed at Duration
06 Apr 2025
17:22:32
06 Apr 2025
17:40:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1617 0.1633 0.1592 1.6 0.2022
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 0.1617
  • Stop Loss: 0.1633
  • Take Profit: 0.1592

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1633 - 0.1617 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1617 - 0.1592 = 0.0025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0025 / 0.0016 = 1.5625

📌 Position Size

Amount Margin Quantity Leverage
790.6 100 4889 7.91
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.1617 = 808.5

Donc, tu peux acheter 5000 avec un stoploss a 0.1633

Avec un position size USD de 808.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0025 = 12.5

Si Take Profit atteint, tu gagneras 12.5$

Résumé

  • Taille de position 5000
  • Taille de position USD 808.5
  • Perte potentielle 8
  • Gain potentiel 12.5
  • Risk-Reward Ratio 1.5625

📌 Peformances

TP % Target TP $ Target
1.5 % 12 $
SL % Target SL $ Target
0.99 % 7.8 $
PNL PNL %
12 $ 1.55
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
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            [take_profit] => 0.1585
            [stop_loss] => 0.1633
            [rr_ratio] => 2
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1577
            [stop_loss] => 0.1633
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1569
            [stop_loss] => 0.1633
            [rr_ratio] => 3
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

    [3.5] => Array
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            [take_profit] => 0.1561
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            [rr_ratio] => 3.5
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

    [4] => Array
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            [take_profit] => 0.1553
            [stop_loss] => 0.1633
            [rr_ratio] => 4
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

    [4.5] => Array
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            [take_profit] => 0.1545
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            [rr_ratio] => 4.5
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

    [5] => Array
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            [take_profit] => 0.1537
            [stop_loss] => 0.1633
            [rr_ratio] => 5
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1529
            [stop_loss] => 0.1633
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1521
            [stop_loss] => 0.1633
            [rr_ratio] => 6
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1513
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            [rr_ratio] => 6.5
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            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1505
            [stop_loss] => 0.1633
            [rr_ratio] => 7
            [closed_at] => 2025-04-06 18:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)