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Short Trade on PNUT

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Short Trade on PNUT 30 May 2025 at 16:19:54

Take profit at 0.2638 (1.12 %) and Stop Loss at 0.2688 (0.75 %)

Short Trade on PNUT

The 30 May 2025 at 16:19:54

With 4019.2822 PNUT at 0.2668$ per unit.

Position size of 1072.3043 $

Take profit at 0.2638 (1.12 %) and Stop Loss at 0.2688 (0.75 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 0.07
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.49
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.798319

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.00132693677
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.267775
  4. ema21 : 0.279202
  5. ema50 : 0.298368
  6. ema100 : 0.309733
  7. price_ema9_diff : -0.00368152
  8. ema9_ema21_diff : -0.0409276
  9. ema21_ema50_diff : -0.0642337
  10. price_ema100_diff : -0.138646
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.308202
  14. kc_percentage : 0.10994
  15. kc_width_percentage : 0.110115
    16. ¸
  16. 15m
  17. ema9 : 0.26393
  18. ema21 : 0.264549
  19. ema50 : 0.270665
  20. ema100 : 0.28133
  21. price_ema9_diff : 0.010835
  22. ema9_ema21_diff : -0.00234004
  23. ema21_ema50_diff : -0.0225982
  24. price_ema100_diff : -0.0516864
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.529316
  28. kc_percentage : 0.699644
  29. kc_width_percentage : 0.0447777
    30. ¸
  30. 5m
  31. ema9 : 0.264764
  32. ema21 : 0.263939
  33. ema50 : 0.264057
  34. ema100 : 0.266425
  35. price_ema9_diff : 0.00764848
  36. ema9_ema21_diff : 0.00312768
  37. ema21_ema50_diff : -0.000447469
  38. price_ema100_diff : 0.00136961
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.671938
  42. kc_percentage : 1.07508
  43. kc_width_percentage : 0.0182441
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    104913
  47. 5m_price_ema100_diff: 
    -0.00427681
  48. 5m_price: 
    104464
  49. 5m_correlation_with_coin: 
    0.798319
  50. btc_indicators
  51. 15m_ema100: 
    105324
  52. 15m_price_ema100_diff: 
    -0.00815884
  53. 15m_price: 
    104464
  54. btc_indicators
  55. 1H_ema100: 
    107198
  56. 1H_price_ema100_diff: 
    -0.0254975
  57. 1H_price: 
    104464
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 May 2025
16:19:54		 30 May 2025
16:55:00		 35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2668 0.2688 0.2638 1.5 0.04155
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 0.2668
  • Stop Loss: 0.2688
  • Take Profit: 0.2638

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2688 - 0.2668 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2668 - 0.2638 = 0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.003 / 0.002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1072.3043 100 4019.2822 10.72
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.2668 = 1067.2

Donc, tu peux acheter 4000 avec un stoploss a 0.2688

Avec un position size USD de 1067.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 4000
  • Taille de position USD 1067.2
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.12 % 12.06 $
SL % Target SL $ Target
0.75 % 8.04 $
PNL PNL %
12.06 $ 1.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.28110944527737 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2628
            [stop_loss] => 0.2688
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 17:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2618
            [stop_loss] => 0.2688
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 18:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2608
            [stop_loss] => 0.2688
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 18:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2598
            [stop_loss] => 0.2688
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 18:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2588
            [stop_loss] => 0.2688
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 18:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2578
            [stop_loss] => 0.2688
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 18:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2568
            [stop_loss] => 0.2688
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 18:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2558
            [stop_loss] => 0.2688
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2548
            [stop_loss] => 0.2688
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.2538
            [stop_loss] => 0.2688
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2528
            [stop_loss] => 0.2688
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00652
            [max_drawdown] => 0.00075000000000003
            [rr_ratio] => 8.69
            [high] => 0.26755000
            [low] => 0.26028000
            [mfe_pct] => 2.44
            [mae_pct] => 0.28
            [mfe_mae_ratio] => 8.69
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T16:19:54-04:00
            [end_at] => 2025-05-30T18:19:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0276
            [max_drawdown] => 0.00075000000000003
            [rr_ratio] => 36.8
            [high] => 0.26755000
            [low] => 0.23920000
            [mfe_pct] => 10.34
            [mae_pct] => 0.28
            [mfe_mae_ratio] => 36.8
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T16:19:54-04:00
            [end_at] => 2025-05-30T22:19:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.26807000
            [high_after] => 0.26755000
            [low_before] => 0.25259000
            [low_after] => 0.23920000
            [is_new_high] => 
            [is_new_low] => 1
        )

)