Short Trade on JUP 14 Sep 2025 at 13:38:42

Take profit at 0.539 (0.94 %) and Stop Loss at 0.5467 (0.48 %)

Short Trade on JUP

The 14 Sep 2025 at 13:38:42

With 3111.125 JUP at 0.5441$ per unit.

Position size of 1692.7631 $

Take profit at 0.539 (0.94 %) and Stop Loss at 0.5467 (0.48 %)

That's a 1.96 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.4
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low_confirmed

BTC Correlation Score

5m : 0.43739

15m : 0.202791

1H : 0.065175

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.47
  4. atr: 0.001714278052
Details
  1. score: 1.47
  2. 1H
  3. ema9 : 0.539931
  4. ema21 : 0.544591
  5. ema50 : 0.547827
  6. ema100 : 0.54626
  7. price_ema9_diff : 0.00772125
  8. ema9_ema21_diff : -0.00855771
  9. ema21_ema50_diff : -0.00590766
  10. price_ema100_diff : -0.00395596
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.209422
  14. ema_slope_21 : -0.115462
  15. ema_slope_50 : -0.0511849
  16. ema_slope_100 : -0.0140611
  17. rsi : 0.483239
  18. adx : 0.215035
  19. kc_percentage : 0.493128
  20. kc_width_percentage : 0.0598899
  21. volume_ema_diff : -0.065421
  22. volume_ema1 : 676915.13484834
  23. volume_ema2 : 724299.60882767
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.537593
  28. ema21 : 0.537267
  29. ema50 : 0.541493
  30. ema100 : 0.543778
  31. price_ema9_diff : 0.0121024
  32. ema9_ema21_diff : 0.000606883
  33. ema21_ema50_diff : -0.00780454
  34. price_ema100_diff : 0.000590588
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0578888
  38. ema_slope_21 : -0.0417994
  39. ema_slope_50 : -0.0602268
  40. ema_slope_100 : -0.0373049
  41. rsi : 0.584863
  42. adx : 0.307787
  43. kc_percentage : 0.974857
  44. kc_width_percentage : 0.0269653
  45. volume_ema_diff : -0.395918
  46. volume_ema1 : 120962.87684406
  47. volume_ema2 : 200242.54361122
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.540348
  52. ema21 : 0.53749
  53. ema50 : 0.536236
  54. ema100 : 0.539043
  55. price_ema9_diff : 0.00694264
  56. ema9_ema21_diff : 0.005318
  57. ema21_ema50_diff : 0.00233746
  58. price_ema100_diff : 0.0093812
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0917086
  62. ema_slope_21 : 0.072001
  63. ema_slope_50 : 0.0275946
  64. ema_slope_100 : -0.000533174
  65. rsi : 0.738876
  66. adx : 0.353582
  67. kc_percentage : 1.47371
  68. kc_width_percentage : 0.0121615
  69. volume_ema_diff : 0.366192
  70. volume_ema1 : 85750.298657919
  71. volume_ema2 : 62765.914735071
  72. regime : bull_low_confirmed
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115539
  77. 5m_price_ema100_diff:
    -9.38308E-5
  78. 5m_price:
    115528
  79. 5m_correlation_with_coin:
    0.43739
  80. btc_indicators
  81. 15m_ema100:
    115596
  82. 15m_price_ema100_diff:
    -0.000369876
  83. 15m_price:
    115554
  84. 15m_correlation_with_coin:
    0.202791
  85. btc_indicators
  86. 1H_ema100:
    115224
  87. 1H_price_ema100_diff:
    0.00263557
  88. 1H_price:
    115528
  89. 1H_correlation_with_coin:
    0.065175
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
13:38:42
14 Sep 2025
13:45:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5441 0.5467 0.539 1.96 0.1714
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 0.5441
  • Stop Loss: 0.5467
  • Take Profit: 0.539

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5467 - 0.5441 = 0.0025999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5441 - 0.539 = 0.0051

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0051 / 0.0025999999999999 = 1.9615

📌 Position Size

Amount Margin Quantity Leverage
1692.7631 100 3111.125 16.93
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 0.0025999999999999

Taille de position = 8 / 0.0025999999999999 = 3076.92

Taille de position USD = 3076.92 x 0.5441 = 1674.15

Donc, tu peux acheter 3076.92 avec un stoploss a 0.5467

Avec un position size USD de 1674.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3076.92 x 0.0025999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3076.92 x 0.0051 = 15.69

Si Take Profit atteint, tu gagneras 15.69$

Résumé

  • Taille de position 3076.92
  • Taille de position USD 1674.15
  • Perte potentielle 8
  • Gain potentiel 15.69
  • Risk-Reward Ratio 1.9615

📌 Peformances

TP % Target TP $ Target
0.94 % 15.87 $
SL % Target SL $ Target
0.48 % 8.09 $
PNL PNL %
-8.09 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0844 % 226.91 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.539
            [entry_price] => 0.5441
            [stop_loss] => 0.54696
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-14 13:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.539
            [entry_price] => 0.5441
            [stop_loss] => 0.54722
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-14 13:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.539
            [entry_price] => 0.5441
            [stop_loss] => 0.54748
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-14 13:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.539
            [entry_price] => 0.5441
            [stop_loss] => 0.548
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-14 13:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0033000000000001
            [max_drawdown] => 0.0059
            [rr_ratio] => 0.56
            [high] => 0.55000000
            [low] => 0.54080000
            [mfe_pct] => 0.61
            [mae_pct] => 1.08
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T13:38:42-04:00
            [end_at] => 2025-09-14T15:38:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0093
            [max_drawdown] => 0.0059
            [rr_ratio] => 1.58
            [high] => 0.55000000
            [low] => 0.53480000
            [mfe_pct] => 1.71
            [mae_pct] => 1.08
            [mfe_mae_ratio] => 1.58
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T13:38:42-04:00
            [end_at] => 2025-09-14T20:38:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.54490000
            [high_after] => 0.55000000
            [low_before] => 0.52530000
            [low_after] => 0.53560000
            [is_new_high] => 
            [is_new_low] => 
        )

)