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Short Trade on JUP

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Short Trade on JUP 16 Sep 2025 at 02:01:20

Take profit at 0.5037 (0.61 %) and Stop Loss at 0.5084 (0.32 %)

Short Trade on JUP

The 16 Sep 2025 at 02:01:20

With 5106.0773 JUP at 0.5068$ per unit.

Position size of 2587.76 $

Take profit at 0.5037 (0.61 %) and Stop Loss at 0.5084 (0.32 %)

That's a 1.94 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.74
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.65
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.722089

15m : 0.038575

1H : 0.139566

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.001044506967
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.505798
  4. ema21 : 0.509422
  5. ema50 : 0.521099
  6. ema100 : 0.532248
  7. price_ema9_diff : 0.00197942
  8. ema9_ema21_diff : -0.00711398
  9. ema21_ema50_diff : -0.0224085
  10. price_ema100_diff : -0.0478132
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0120251
  14. ema_slope_21 : -0.117533
  15. ema_slope_50 : -0.144434
  16. ema_slope_100 : -0.108975
  17. rsi : 0.423281
  18. adx : 0.30411
  19. kc_percentage : 0.383423
  20. kc_width_percentage : 0.0373321
  21. volume_ema_diff : -0.668108
  22. volume_ema1 : 203137.79278006
  23. volume_ema2 : 612060.64838567
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.505058
  27. ema21 : 0.505085
  28. ema50 : 0.506476
  29. ema100 : 0.511683
  30. price_ema9_diff : 0.00344728
  31. ema9_ema21_diff : -5.34693E-5
  32. ema21_ema50_diff : -0.00274545
  33. price_ema100_diff : -0.00954427
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.00826719
  37. ema_slope_21 : -0.0213093
  38. ema_slope_50 : -0.0223394
  39. ema_slope_100 : -0.0329408
  40. rsi : 0.547839
  41. adx : 0.152127
  42. kc_percentage : 0.70319
  43. kc_width_percentage : 0.0169077
  44. volume_ema_diff : -0.645434
  45. volume_ema1 : 33497.527325909
  46. volume_ema2 : 94474.819592141
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.505657
  50. ema21 : 0.504669
  51. ema50 : 0.504719
  52. ema100 : 0.505706
  53. price_ema9_diff : 0.00225883
  54. ema9_ema21_diff : 0.00195815
  55. ema21_ema50_diff : -9.93574E-5
  56. price_ema100_diff : 0.00216165
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.055209
  60. ema_slope_21 : 0.0303734
  61. ema_slope_50 : 0.00641843
  62. ema_slope_100 : -0.00187629
  63. rsi : 0.618965
  64. adx : 0.190466
  65. kc_percentage : 1.00944
  66. kc_width_percentage : 0.00809255
  67. volume_ema_diff : -0.595191
  68. volume_ema1 : 8681.5406737801
  69. volume_ema2 : 21446.033377552
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115348
  74. 5m_price_ema100_diff: 
    0.00460421
  75. 5m_price: 
    115879
  76. 5m_correlation_with_coin: 
    0.722089
  77. btc_indicators
  78. 15m_ema100: 
    115352
  79. 15m_price_ema100_diff: 
    0.00456714
  80. 15m_price: 
    115879
  81. 15m_correlation_with_coin: 
    0.038575
  82. btc_indicators
  83. 1H_ema100: 
    115396
  84. 1H_price_ema100_diff: 
    0.00418488
  85. 1H_price: 
    115879
  86. 1H_correlation_with_coin: 
    0.139566
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
02:01:20		 16 Sep 2025
02:15:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5068 0.5084 0.5037 1.94 0.1514
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 0.5068
  • Stop Loss: 0.5084
  • Take Profit: 0.5037

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5084 - 0.5068 = 0.0015999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5068 - 0.5037 = 0.0031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0031 / 0.0015999999999999 = 1.9375

📌 Position Size

Amount Margin Quantity Leverage
2587.76 100 5106.0773 25.88
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 0.0015999999999999

Taille de position = 8 / 0.0015999999999999 = 5000

Taille de position USD = 5000 x 0.5068 = 2534

Donc, tu peux acheter 5000 avec un stoploss a 0.5084

Avec un position size USD de 2534$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0015999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0031 = 15.5

Si Take Profit atteint, tu gagneras 15.5$

Résumé

  • Taille de position 5000
  • Taille de position USD 2534
  • Perte potentielle 8
  • Gain potentiel 15.5
  • Risk-Reward Ratio 1.9375

📌 Peformances

TP % Target TP $ Target
0.61 % 15.83 $
SL % Target SL $ Target
0.32 % 8.17 $
PNL PNL %
-8.17 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4736 % 150.02 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5037
            [entry_price] => 0.5068
            [stop_loss] => 0.50856
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 02:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5037
            [entry_price] => 0.5068
            [stop_loss] => 0.50872
            [rr_ratio] => 1.61
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 02:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5037
            [entry_price] => 0.5068
            [stop_loss] => 0.50888
            [rr_ratio] => 1.49
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 02:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5037
            [entry_price] => 0.5068
            [stop_loss] => 0.5092
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 02:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0026
            [max_drawdown] => 0.0041
            [rr_ratio] => 0.63
            [high] => 0.51090000
            [low] => 0.50420000
            [mfe_pct] => 0.51
            [mae_pct] => 0.81
            [mfe_mae_ratio] => 0.63
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T02:01:20-04:00
            [end_at] => 2025-09-16T04:01:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0026
            [max_drawdown] => 0.0065
            [rr_ratio] => 0.4
            [high] => 0.51330000
            [low] => 0.50420000
            [mfe_pct] => 0.51
            [mae_pct] => 1.28
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T02:01:20-04:00
            [end_at] => 2025-09-16T09:01:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.50750000
            [high_after] => 0.51330000
            [low_before] => 0.49800000
            [low_after] => 0.50420000
            [is_new_high] => 
            [is_new_low] => 
        )

)