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Short Trade on PNUT

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Short Trade on PNUT 29 May 2025 at 18:24:51

Take profit at 0.3198 (0.84 %) and Stop Loss at 0.3242 (0.53 %)

Short Trade on PNUT

The 29 May 2025 at 18:24:51

With 4535.566 PNUT at 0.3225$ per unit.

Position size of 1462.584 $

Take profit at 0.3198 (0.84 %) and Stop Loss at 0.3242 (0.53 %)

That's a 1.59 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 8
Prediction Score: 0.85
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
1 0.39
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.621656

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.001175891453
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.322911
  4. ema21 : 0.327644
  5. ema50 : 0.32979
  6. ema100 : 0.32786
  7. price_ema9_diff : -0.00136713
  8. ema9_ema21_diff : -0.0144443
  9. ema21_ema50_diff : -0.0065078
  10. price_ema100_diff : -0.0164407
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.431964
  14. kc_percentage : 0.303251
  15. kc_width_percentage : 0.077838
    16. ¸
  16. 15m
  17. ema9 : 0.319666
  18. ema21 : 0.320258
  19. ema50 : 0.324674
  20. ema100 : 0.327545
  21. price_ema9_diff : 0.00877068
  22. ema9_ema21_diff : -0.00184822
  23. ema21_ema50_diff : -0.0136022
  24. price_ema100_diff : -0.0154949
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.54194
  28. kc_percentage : 0.763138
  29. kc_width_percentage : 0.0276876
    30. ¸
  30. 5m
  31. ema9 : 0.320669
  32. ema21 : 0.319441
  33. ema50 : 0.319254
  34. ema100 : 0.320559
  35. price_ema9_diff : 0.00561574
  36. ema9_ema21_diff : 0.00384436
  37. ema21_ema50_diff : 0.000583756
  38. price_ema100_diff : 0.00596048
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.665147
  42. kc_percentage : 1.12894
  43. kc_width_percentage : 0.014628
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    106435
  47. 5m_price_ema100_diff: 
    -0.00146354
  48. 5m_price: 
    106280
  49. 5m_correlation_with_coin: 
    0.621656
  50. btc_indicators
  51. 15m_ema100: 
    107157
  52. 15m_price_ema100_diff: 
    -0.00818535
  53. 15m_price: 
    106280
  54. btc_indicators
  55. 1H_ema100: 
    108088
  56. 1H_price_ema100_diff: 
    -0.0167311
  57. 1H_price: 
    106280
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 May 2025
18:24:51		 29 May 2025
18:40:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3225 0.3242 0.3198 1.59 0.04582
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 0.3225
  • Stop Loss: 0.3242
  • Take Profit: 0.3198

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3242 - 0.3225 = 0.0017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3225 - 0.3198 = 0.0027

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0027 / 0.0017 = 1.5882

📌 Position Size

Amount Margin Quantity Leverage
1462.584 100 4535.566 14.63
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 0.0017

Taille de position = 8 / 0.0017 = 4705.88

Taille de position USD = 4705.88 x 0.3225 = 1517.65

Donc, tu peux acheter 4705.88 avec un stoploss a 0.3242

Avec un position size USD de 1517.65$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4705.88 x 0.0017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4705.88 x 0.0027 = 12.71

Si Take Profit atteint, tu gagneras 12.71$

Résumé

  • Taille de position 4705.88
  • Taille de position USD 1517.65
  • Perte potentielle 8
  • Gain potentiel 12.71
  • Risk-Reward Ratio 1.5882

📌 Peformances

TP % Target TP $ Target
0.84 % 12.25 $
SL % Target SL $ Target
0.53 % 7.71 $
PNL PNL %
12.24 $ 0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3191
            [stop_loss] => 0.3242
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 18:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.31825
            [stop_loss] => 0.3242
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 18:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3174
            [stop_loss] => 0.3242
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 19:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.31655
            [stop_loss] => 0.3242
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3157
            [stop_loss] => 0.3242
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.31485
            [stop_loss] => 0.3242
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.314
            [stop_loss] => 0.3242
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.31315
            [stop_loss] => 0.3242
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.3123
            [stop_loss] => 0.3242
            [rr_ratio] => 6
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.31145
            [stop_loss] => 0.3242
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.3106
            [stop_loss] => 0.3242
            [rr_ratio] => 7
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00905
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.32246000
            [low] => 0.31345000
            [mfe_pct] => 2.81
            [mae_pct] => -0.01
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T18:24:51-04:00
            [end_at] => 2025-05-29T20:24:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.03871
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.32246000
            [low] => 0.28379000
            [mfe_pct] => 12
            [mae_pct] => -0.01
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T18:24:51-04:00
            [end_at] => 2025-05-30T00:24:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.32262000
            [high_after] => 0.32246000
            [low_before] => 0.31411000
            [low_after] => 0.28379000
            [is_new_high] => 
            [is_new_low] => 1
        )

)