Short Trade on JUP 16 Sep 2025 at 03:26:21

Take profit at 0.5055 (0.57 %) and Stop Loss at 0.5098 (0.28 %)

Short Trade on JUP

The 16 Sep 2025 at 03:26:21

With 5533.1871 JUP at 0.5084$ per unit.

Position size of 2813.0723 $

Take profit at 0.5055 (0.57 %) and Stop Loss at 0.5098 (0.28 %)

That's a 2.07 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.38
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.52
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 : range_low

BTC Correlation Score

5m : 0.642128

15m : 0.050927

1H : -0.264946

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0009638808979
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.506223
  4. ema21 : 0.509281
  5. ema50 : 0.520822
  6. ema100 : 0.533564
  7. price_ema9_diff : 0.00430038
  8. ema9_ema21_diff : -0.00600489
  9. ema21_ema50_diff : -0.0221602
  10. price_ema100_diff : -0.0471629
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.00363231
  14. ema_slope_21 : -0.104504
  15. ema_slope_50 : -0.140212
  16. ema_slope_100 : -0.113494
  17. rsi : 0.450141
  18. adx : 0.292612
  19. kc_percentage : 0.474759
  20. kc_width_percentage : 0.0387177
  21. volume_ema_diff : -0.6963
  22. volume_ema1 : 185126.60210469
  23. volume_ema2 : 609571.96517368
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.506187
  28. ema21 : 0.505662
  29. ema50 : 0.506339
  30. ema100 : 0.510064
  31. price_ema9_diff : 0.00437005
  32. ema9_ema21_diff : 0.00103877
  33. ema21_ema50_diff : -0.00133625
  34. price_ema100_diff : -0.00326421
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0401655
  38. ema_slope_21 : 0.00846145
  39. ema_slope_50 : -0.00694945
  40. ema_slope_100 : -0.0199295
  41. rsi : 0.562427
  42. adx : 0.145691
  43. kc_percentage : 0.84312
  44. kc_width_percentage : 0.0156462
  45. volume_ema_diff : -0.661092
  46. volume_ema1 : 29052.802210302
  47. volume_ema2 : 85724.917169162
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.507288
  52. ema21 : 0.506437
  53. ema50 : 0.505671
  54. ema100 : 0.505771
  55. price_ema9_diff : 0.00219019
  56. ema9_ema21_diff : 0.00168088
  57. ema21_ema50_diff : 0.00151499
  58. price_ema100_diff : 0.00519605
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0147647
  62. ema_slope_21 : 0.0154597
  63. ema_slope_50 : 0.00977551
  64. ema_slope_100 : 0.00344308
  65. rsi : 0.62774
  66. adx : 0.198954
  67. kc_percentage : 1.02707
  68. kc_width_percentage : 0.00711715
  69. volume_ema_diff : -0.568977
  70. volume_ema1 : 6856.0556995883
  71. volume_ema2 : 15906.484814502
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115450
  77. 5m_price_ema100_diff:
    0.00319499
  78. 5m_price:
    115819
  79. 5m_correlation_with_coin:
    0.642128
  80. btc_indicators
  81. 15m_ema100:
    115385
  82. 15m_price_ema100_diff:
    0.00371496
  83. 15m_price:
    115814
  84. 15m_correlation_with_coin:
    0.050927
  85. btc_indicators
  86. 1H_ema100:
    115423
  87. 1H_price_ema100_diff:
    0.00343389
  88. 1H_price:
    115819
  89. 1H_correlation_with_coin:
    -0.264946
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
03:26:21
16 Sep 2025
03:50:00
23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5084 0.5098 0.5055 2.07 0.1537
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 0.5084
  • Stop Loss: 0.5098
  • Take Profit: 0.5055

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5098 - 0.5084 = 0.0014000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5084 - 0.5055 = 0.0029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0029 / 0.0014000000000001 = 2.0714

📌 Position Size

Amount Margin Quantity Leverage
2813.0723 100 5533.1871 28.13
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 0.0014000000000001

Taille de position = 8 / 0.0014000000000001 = 5714.29

Taille de position USD = 5714.29 x 0.5084 = 2905.15

Donc, tu peux acheter 5714.29 avec un stoploss a 0.5098

Avec un position size USD de 2905.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5714.29 x 0.0014000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5714.29 x 0.0029 = 16.57

Si Take Profit atteint, tu gagneras 16.57$

Résumé

  • Taille de position 5714.29
  • Taille de position USD 2905.15
  • Perte potentielle 8
  • Gain potentiel 16.57
  • Risk-Reward Ratio 2.0714

📌 Peformances

TP % Target TP $ Target
0.57 % 16.05 $
SL % Target SL $ Target
0.28 % 7.75 $
PNL PNL %
-7.75 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.295 % 107.12 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5055
            [entry_price] => 0.5084
            [stop_loss] => 0.50994
            [rr_ratio] => 1.88
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 04:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5055
            [entry_price] => 0.5084
            [stop_loss] => 0.51008
            [rr_ratio] => 1.73
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 04:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5055
            [entry_price] => 0.5084
            [stop_loss] => 0.51022
            [rr_ratio] => 1.59
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 04:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5055
            [entry_price] => 0.5084
            [stop_loss] => 0.5105
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 04:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0021
            [max_drawdown] => 0.0049
            [rr_ratio] => 0.43
            [high] => 0.51330000
            [low] => 0.50630000
            [mfe_pct] => 0.41
            [mae_pct] => 0.96
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T03:26:21-04:00
            [end_at] => 2025-09-16T05:26:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0085
            [max_drawdown] => 0.0049
            [rr_ratio] => 1.73
            [high] => 0.51330000
            [low] => 0.49990000
            [mfe_pct] => 1.67
            [mae_pct] => 0.96
            [mfe_mae_ratio] => 1.73
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T03:26:21-04:00
            [end_at] => 2025-09-16T10:26:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.50920000
            [high_after] => 0.51330000
            [low_before] => 0.49800000
            [low_after] => 0.50610000
            [is_new_high] => 
            [is_new_low] => 
        )

)