Short Trade on JUP 15 Sep 2025 at 14:38:19

Take profit at 0.5012 (0.85 %) and Stop Loss at 0.5077 (0.44 %)

Short Trade on JUP

The 15 Sep 2025 at 14:38:19

With 3683.6848 JUP at 0.5055$ per unit.

Position size of 1862.1027 $

Take profit at 0.5012 (0.85 %) and Stop Loss at 0.5077 (0.44 %)

That's a 1.95 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.88
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
0 0.57
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.697908

15m : 0.121947

1H : -0.176184

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.001447825638
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.506289
  4. ema21 : 0.516598
  5. ema50 : 0.529757
  6. ema100 : 0.536148
  7. price_ema9_diff : -0.00155986
  8. ema9_ema21_diff : -0.0199552
  9. ema21_ema50_diff : -0.0248401
  10. price_ema100_diff : -0.0571643
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.49238
  14. ema_slope_21 : -0.364977
  15. ema_slope_50 : -0.219432
  16. ema_slope_100 : -0.121538
  17. rsi : 0.363486
  18. adx : 0.354153
  19. kc_percentage : 0.132513
  20. kc_width_percentage : 0.0558204
  21. volume_ema_diff : 0.0298219
  22. volume_ema1 : 848775.43571192
  23. volume_ema2 : 824196.27186555
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.502191
  28. ema21 : 0.502939
  29. ema50 : 0.510243
  30. ema100 : 0.520308
  31. price_ema9_diff : 0.0065878
  32. ema9_ema21_diff : -0.00148599
  33. ema21_ema50_diff : -0.0143148
  34. price_ema100_diff : -0.0284609
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0223958
  38. ema_slope_21 : -0.0730727
  39. ema_slope_50 : -0.0987345
  40. ema_slope_100 : -0.0867751
  41. rsi : 0.524365
  42. adx : 0.399263
  43. kc_percentage : 0.718306
  44. kc_width_percentage : 0.0248681
  45. volume_ema_diff : -0.485271
  46. volume_ema1 : 129566.12889398
  47. volume_ema2 : 251717.26950383
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.50414
  52. ema21 : 0.502132
  53. ema50 : 0.501771
  54. ema100 : 0.50354
  55. price_ema9_diff : 0.00269672
  56. ema9_ema21_diff : 0.00399928
  57. ema21_ema50_diff : 0.000718492
  58. price_ema100_diff : 0.00389087
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.122052
  62. ema_slope_21 : 0.0767056
  63. ema_slope_50 : 0.0234698
  64. ema_slope_100 : 0.0019552
  65. rsi : 0.673431
  66. adx : 0.306787
  67. kc_percentage : 1.09936
  68. kc_width_percentage : 0.0107729
  69. volume_ema_diff : -0.732471
  70. volume_ema1 : 20321.086212419
  71. volume_ema2 : 75958.688160841
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114766
  77. 5m_price_ema100_diff:
    0.000969791
  78. 5m_price:
    114878
  79. 5m_correlation_with_coin:
    0.697908
  80. btc_indicators
  81. 15m_ema100:
    115164
  82. 15m_price_ema100_diff:
    -0.00246931
  83. 15m_price:
    114880
  84. 15m_correlation_with_coin:
    0.121947
  85. btc_indicators
  86. 1H_ema100:
    115252
  87. 1H_price_ema100_diff:
    -0.00324898
  88. 1H_price:
    114878
  89. 1H_correlation_with_coin:
    -0.176184
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:38:19
15 Sep 2025
15:00:00
21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5055 0.5077 0.5012 1.95 0.1543
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 0.5055
  • Stop Loss: 0.5077
  • Take Profit: 0.5012

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5077 - 0.5055 = 0.0022000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5055 - 0.5012 = 0.0043

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0043 / 0.0022000000000001 = 1.9545

📌 Position Size

Amount Margin Quantity Leverage
1862.1027 100 3683.6848 18.62
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 0.0022000000000001

Taille de position = 8 / 0.0022000000000001 = 3636.36

Taille de position USD = 3636.36 x 0.5055 = 1838.18

Donc, tu peux acheter 3636.36 avec un stoploss a 0.5077

Avec un position size USD de 1838.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3636.36 x 0.0022000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3636.36 x 0.0043 = 15.64

Si Take Profit atteint, tu gagneras 15.64$

Résumé

  • Taille de position 3636.36
  • Taille de position USD 1838.18
  • Perte potentielle 8
  • Gain potentiel 15.64
  • Risk-Reward Ratio 1.9545

📌 Peformances

TP % Target TP $ Target
0.85 % 15.84 $
SL % Target SL $ Target
0.44 % 8.1 $
PNL PNL %
-8.1 $ -0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4352 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5012
            [entry_price] => 0.5055
            [stop_loss] => 0.50792
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5012
            [entry_price] => 0.5055
            [stop_loss] => 0.50814
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5012
            [entry_price] => 0.5055
            [stop_loss] => 0.50836
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5012
            [entry_price] => 0.5055
            [stop_loss] => 0.5088
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0027999999999999
            [max_drawdown] => 0.0042000000000001
            [rr_ratio] => 0.67
            [high] => 0.50970000
            [low] => 0.50270000
            [mfe_pct] => 0.55
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 0.67
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:38:19-04:00
            [end_at] => 2025-09-15T16:38:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0027999999999999
            [max_drawdown] => 0.0048
            [rr_ratio] => 0.58
            [high] => 0.51030000
            [low] => 0.50270000
            [mfe_pct] => 0.55
            [mae_pct] => 0.95
            [mfe_mae_ratio] => 0.58
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:38:19-04:00
            [end_at] => 2025-09-15T21:38:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.50780000
            [high_after] => 0.51030000
            [low_before] => 0.49310000
            [low_after] => 0.50270000
            [is_new_high] => 
            [is_new_low] => 
        )

)