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Short Trade on JUP

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Short Trade on JUP 14 Sep 2025 at 12:24:05

Take profit at 0.5302 (1.14 %) and Stop Loss at 0.5393 (0.56 %)

Short Trade on JUP

The 14 Sep 2025 at 12:24:05

With 2628.0497 JUP at 0.5363$ per unit.

Position size of 1409.423 $

Take profit at 0.5302 (1.14 %) and Stop Loss at 0.5393 (0.56 %)

That's a 2.03 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.17
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
0 0.66
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

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 : 0.415036

15m : 0.108324

1H : 0.013504

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.002029388334
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.538808
  4. ema21 : 0.544604
  5. ema50 : 0.548038
  6. ema100 : 0.546835
  7. price_ema9_diff : -0.00465622
  8. ema9_ema21_diff : -0.0106422
  9. ema21_ema50_diff : -0.0062661
  10. price_ema100_diff : -0.0192656
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.200794
  14. ema_slope_21 : -0.102526
  15. ema_slope_50 : -0.04392
  16. ema_slope_100 : -0.0115434
  17. rsi : 0.402839
  18. adx : 0.224588
  19. kc_percentage : 0.251032
  20. kc_width_percentage : 0.0599874
  21. volume_ema_diff : -0.0255503
  22. volume_ema1 : 703013.12560231
  23. volume_ema2 : 721446.30390403
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.531941
  27. ema21 : 0.535571
  28. ema50 : 0.541965
  29. ema100 : 0.545079
  30. price_ema9_diff : 0.00819394
  31. ema9_ema21_diff : -0.00677786
  32. ema21_ema50_diff : -0.0117983
  33. price_ema100_diff : -0.0161066
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.109964
  37. ema_slope_21 : -0.143906
  38. ema_slope_50 : -0.101153
  39. ema_slope_100 : -0.0572859
  40. rsi : 0.44154
  41. adx : 0.408572
  42. kc_percentage : 0.568769
  43. kc_width_percentage : 0.0289059
  44. volume_ema_diff : -0.542276
  45. volume_ema1 : 97534.860777299
  46. volume_ema2 : 213086.91475889
  47. regime : bear_medium
    48. ¸
  48. 5m
  49. ema9 : 0.53293
  50. ema21 : 0.531819
  51. ema50 : 0.534247
  52. ema100 : 0.539245
  53. price_ema9_diff : 0.00632292
  54. ema9_ema21_diff : 0.00208847
  55. ema21_ema50_diff : -0.00454474
  56. price_ema100_diff : -0.00546297
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0662563
  60. ema_slope_21 : 0.021696
  61. ema_slope_50 : -0.0204845
  62. ema_slope_100 : -0.030331
  63. rsi : 0.61398
  64. adx : 0.272201
  65. kc_percentage : 1.06817
  66. kc_width_percentage : 0.0146862
  67. volume_ema_diff : -0.401329
  68. volume_ema1 : 44362.616132766
  69. volume_ema2 : 74101.94820763
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115533
  74. 5m_price_ema100_diff: 
    -0.00184883
  75. 5m_price: 
    115320
  76. 5m_correlation_with_coin: 
    0.415036
  77. btc_indicators
  78. 15m_ema100: 
    115664
  79. 15m_price_ema100_diff: 
    -0.00374678
  80. 15m_price: 
    115230
  81. 15m_correlation_with_coin: 
    0.108324
  82. btc_indicators
  83. 1H_ema100: 
    115223
  84. 1H_price_ema100_diff: 
    0.00127114
  85. 1H_price: 
    115370
  86. 1H_correlation_with_coin: 
    0.013504
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
12:24:05		 14 Sep 2025
13:10:00		 45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5363 0.5393 0.5302 2.03 0.1562
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 0.5363
  • Stop Loss: 0.5393
  • Take Profit: 0.5302

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5393 - 0.5363 = 0.003

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5363 - 0.5302 = 0.0061

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0061 / 0.003 = 2.0333

📌 Position Size

Amount Margin Quantity Leverage
1409.423 100 2628.0497 14.09
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 0.003

Taille de position = 8 / 0.003 = 2666.67

Taille de position USD = 2666.67 x 0.5363 = 1430.14

Donc, tu peux acheter 2666.67 avec un stoploss a 0.5393

Avec un position size USD de 1430.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2666.67 x 0.003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2666.67 x 0.0061 = 16.27

Si Take Profit atteint, tu gagneras 16.27$

Résumé

  • Taille de position 2666.67
  • Taille de position USD 1430.14
  • Perte potentielle 8
  • Gain potentiel 16.27
  • Risk-Reward Ratio 2.0333

📌 Peformances

TP % Target TP $ Target
1.14 % 16.03 $
SL % Target SL $ Target
0.56 % 7.88 $
PNL PNL %
-7.88 $ -0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.578 % 103.32 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5302
            [entry_price] => 0.5363
            [stop_loss] => 0.5396
            [rr_ratio] => 1.85
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-14 13:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5302
            [entry_price] => 0.5363
            [stop_loss] => 0.5399
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-14 13:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5302
            [entry_price] => 0.5363
            [stop_loss] => 0.5402
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-14 13:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5302
            [entry_price] => 0.5363
            [stop_loss] => 0.5408
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-14 13:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0017
            [max_drawdown] => 0.0137
            [rr_ratio] => 0.12
            [high] => 0.55000000
            [low] => 0.53460000
            [mfe_pct] => 0.32
            [mae_pct] => 2.55
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T12:24:05-04:00
            [end_at] => 2025-09-14T14:24:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0017
            [max_drawdown] => 0.0137
            [rr_ratio] => 0.12
            [high] => 0.55000000
            [low] => 0.53460000
            [mfe_pct] => 0.32
            [mae_pct] => 2.55
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T12:24:05-04:00
            [end_at] => 2025-09-14T19:24:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.54330000
            [high_after] => 0.55000000
            [low_before] => 0.52530000
            [low_after] => 0.53460000
            [is_new_high] => 
            [is_new_low] => 
        )

)