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Short Trade on JUP

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Short Trade on JUP 04 Sep 2025 at 21:55:46

Take profit at 0.4805 (0.64 %) and Stop Loss at 0.4851 (0.31 %)

Short Trade on JUP

The 04 Sep 2025 at 21:55:46

With 5215.8257 JUP at 0.4836$ per unit.

Position size of 2522.3733 $

Take profit at 0.4805 (0.64 %) and Stop Loss at 0.4851 (0.31 %)

That's a 2.07 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.24
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.92
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.720563

15m : -0.068054

1H : 0.068739

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.001022529054
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.480909
  4. ema21 : 0.483624
  5. ema50 : 0.488026
  6. ema100 : 0.490521
  7. price_ema9_diff : 0.00559551
  8. ema9_ema21_diff : -0.00561443
  9. ema21_ema50_diff : -0.0090206
  10. price_ema100_diff : -0.0141109
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.127501
  14. ema_slope_21 : -0.131244
  15. ema_slope_50 : -0.084719
  16. ema_slope_100 : -0.0488449
  17. rsi : 0.48013
  18. adx : 0.198119
  19. kc_percentage : 0.511402
  20. kc_width_percentage : 0.0402538
  21. volume_ema_diff : -0.0952829
  22. volume_ema1 : 370301.97395833
  23. volume_ema2 : 409301.42532414
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.481255
  27. ema21 : 0.480606
  28. ema50 : 0.481456
  29. ema100 : 0.48447
  30. price_ema9_diff : 0.00487191
  31. ema9_ema21_diff : 0.00134953
  32. ema21_ema50_diff : -0.0017654
  33. price_ema100_diff : -0.00179659
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0094177
  37. ema_slope_21 : 0.0106851
  38. ema_slope_50 : -0.00744255
  39. ema_slope_100 : -0.0174714
  40. rsi : 0.566411
  41. adx : 0.166954
  42. kc_percentage : 0.85707
  43. kc_width_percentage : 0.0172087
  44. volume_ema_diff : -0.45465
  45. volume_ema1 : 52136.588828357
  46. volume_ema2 : 95602.227830507
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.482493
  50. ema21 : 0.481435
  51. ema50 : 0.480635
  52. ema100 : 0.480052
  53. price_ema9_diff : 0.00229272
  54. ema9_ema21_diff : 0.00219727
  55. ema21_ema50_diff : 0.00166577
  56. price_ema100_diff : 0.00738994
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0480595
  60. ema_slope_21 : 0.0256622
  61. ema_slope_50 : 0.0127178
  62. ema_slope_100 : 0.00780649
  63. rsi : 0.656718
  64. adx : 0.192903
  65. kc_percentage : 1.03667
  66. kc_width_percentage : 0.00813821
  67. volume_ema_diff : -0.588625
  68. volume_ema1 : 12464.600236849
  69. volume_ema2 : 30299.896368251
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110468
  74. 5m_price_ema100_diff: 
    0.00574566
  75. 5m_price: 
    111102
  76. 5m_correlation_with_coin: 
    0.720563
  77. btc_indicators
  78. 15m_ema100: 
    110617
  79. 15m_price_ema100_diff: 
    0.00249783
  80. 15m_price: 
    110893
  81. 15m_correlation_with_coin: 
    -0.068054
  82. btc_indicators
  83. 1H_ema100: 
    110353
  84. 1H_price_ema100_diff: 
    0.00679074
  85. 1H_price: 
    111102
  86. 1H_correlation_with_coin: 
    0.068739
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
21:55:46		 04 Sep 2025
23:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4836 0.4851 0.4805 2.07 0.1539
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 0.4836
  • Stop Loss: 0.4851
  • Take Profit: 0.4805

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4851 - 0.4836 = 0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4836 - 0.4805 = 0.0031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0031 / 0.0015 = 2.0667

📌 Position Size

Amount Margin Quantity Leverage
2522.3733 100 5215.8257 25.22
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 0.0015

Taille de position = 8 / 0.0015 = 5333.33

Taille de position USD = 5333.33 x 0.4836 = 2579.2

Donc, tu peux acheter 5333.33 avec un stoploss a 0.4851

Avec un position size USD de 2579.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.0031 = 16.53

Si Take Profit atteint, tu gagneras 16.53$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 2579.2
  • Perte potentielle 8
  • Gain potentiel 16.53
  • Risk-Reward Ratio 2.0667

📌 Peformances

TP % Target TP $ Target
0.64 % 16.17 $
SL % Target SL $ Target
0.31 % 7.82 $
PNL PNL %
-7.82 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3929 % 126.66 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4805
            [entry_price] => 0.4836
            [stop_loss] => 0.48525
            [rr_ratio] => 1.88
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 23:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4805
            [entry_price] => 0.4836
            [stop_loss] => 0.4854
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 23:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4805
            [entry_price] => 0.4836
            [stop_loss] => 0.48555
            [rr_ratio] => 1.59
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-05 00:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4805
            [entry_price] => 0.4836
            [stop_loss] => 0.48585
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-05 00:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0027
            [max_drawdown] => 0.0019
            [rr_ratio] => 1.42
            [high] => 0.48550000
            [low] => 0.48090000
            [mfe_pct] => 0.56
            [mae_pct] => 0.39
            [mfe_mae_ratio] => 1.42
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T21:55:46-04:00
            [end_at] => 2025-09-04T23:55:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0027
            [max_drawdown] => 0.0152
            [rr_ratio] => 0.18
            [high] => 0.49880000
            [low] => 0.48090000
            [mfe_pct] => 0.56
            [mae_pct] => 3.14
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T21:55:46-04:00
            [end_at] => 2025-09-05T04:55:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.48590000
            [high_after] => 0.49790000
            [low_before] => 0.47750000
            [low_after] => 0.48090000
            [is_new_high] => 
            [is_new_low] => 
        )

)