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Short Trade on JUP

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Short Trade on JUP 04 Sep 2025 at 18:33:17

Take profit at 0.4792 (0.52 %) and Stop Loss at 0.4829 (0.25 %)

Short Trade on JUP

The 04 Sep 2025 at 18:33:17

With 6439.2803 JUP at 0.4817$ per unit.

Position size of 3101.8013 $

Take profit at 0.4792 (0.52 %) and Stop Loss at 0.4829 (0.25 %)

That's a 2.08 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.05
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.66
Prediction 3 Probability
1 0.57
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.658598

15m : -0.264445

1H : 0.007215

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.000828249914
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.480679
  4. ema21 : 0.484471
  5. ema50 : 0.488938
  6. ema100 : 0.491247
  7. price_ema9_diff : 0.00212352
  8. ema9_ema21_diff : -0.00782666
  9. ema21_ema50_diff : -0.00913713
  10. price_ema100_diff : -0.019436
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.152196
  14. ema_slope_21 : -0.140128
  15. ema_slope_50 : -0.0823889
  16. ema_slope_100 : -0.0460275
  17. rsi : 0.421146
  18. adx : 0.233789
  19. kc_percentage : 0.349387
  20. kc_width_percentage : 0.0342758
  21. volume_ema_diff : -0.321148
  22. volume_ema1 : 265581.03342603
  23. volume_ema2 : 391220.84419302
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.48009
  27. ema21 : 0.479687
  28. ema50 : 0.481873
  29. ema100 : 0.485663
  30. price_ema9_diff : 0.00335327
  31. ema9_ema21_diff : 0.00083999
  32. ema21_ema50_diff : -0.00453622
  33. price_ema100_diff : -0.00816121
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0357076
  37. ema_slope_21 : -0.00368086
  38. ema_slope_50 : -0.0277014
  39. ema_slope_100 : -0.0302299
  40. rsi : 0.564873
  41. adx : 0.245586
  42. kc_percentage : 0.796586
  43. kc_width_percentage : 0.0143005
  44. volume_ema_diff : -0.142831
  45. volume_ema1 : 70687.839997375
  46. volume_ema2 : 82466.686032958
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.48083
  50. ema21 : 0.479993
  51. ema50 : 0.479352
  52. ema100 : 0.479734
  53. price_ema9_diff : 0.00180836
  54. ema9_ema21_diff : 0.00174385
  55. ema21_ema50_diff : 0.00133625
  56. price_ema100_diff : 0.00409733
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0410518
  60. ema_slope_21 : 0.0321229
  61. ema_slope_50 : 0.0152859
  62. ema_slope_100 : 0.00477585
  63. rsi : 0.631952
  64. adx : 0.252992
  65. kc_percentage : 1.00884
  66. kc_width_percentage : 0.00673591
  67. volume_ema_diff : 0.362266
  68. volume_ema1 : 32282.972832212
  69. volume_ema2 : 23697.99288987
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110073
  74. 5m_price_ema100_diff: 
    0.006222
  75. 5m_price: 
    110758
  76. 5m_correlation_with_coin: 
    0.658598
  77. btc_indicators
  78. 15m_ema100: 
    110603
  79. 15m_price_ema100_diff: 
    0.00140432
  80. 15m_price: 
    110758
  81. 15m_correlation_with_coin: 
    -0.264445
  82. btc_indicators
  83. 1H_ema100: 
    110321
  84. 1H_price_ema100_diff: 
    0.00396481
  85. 1H_price: 
    110758
  86. 1H_correlation_with_coin: 
    0.007215
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
18:33:17		 04 Sep 2025
18:55:00		 21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4817 0.4829 0.4792 2.08 0.1711
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 0.4817
  • Stop Loss: 0.4829
  • Take Profit: 0.4792

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4829 - 0.4817 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4817 - 0.4792 = 0.0025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0025 / 0.0012 = 2.0833

📌 Position Size

Amount Margin Quantity Leverage
3101.8013 100 6439.2803 31.02
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.4817 = 3211.33

Donc, tu peux acheter 6666.67 avec un stoploss a 0.4829

Avec un position size USD de 3211.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0025 = 16.67

Si Take Profit atteint, tu gagneras 16.67$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 3211.33
  • Perte potentielle 8
  • Gain potentiel 16.67
  • Risk-Reward Ratio 2.0833

📌 Peformances

TP % Target TP $ Target
0.52 % 16.1 $
SL % Target SL $ Target
0.25 % 7.73 $
PNL PNL %
-7.73 $ -0.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7474 % 300.04 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4792
            [entry_price] => 0.4817
            [stop_loss] => 0.48302
            [rr_ratio] => 1.89
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4792
            [entry_price] => 0.4817
            [stop_loss] => 0.48314
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4792
            [entry_price] => 0.4817
            [stop_loss] => 0.48326
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4792
            [entry_price] => 0.4817
            [stop_loss] => 0.4835
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0042
            [max_drawdown] => 0.0042
            [rr_ratio] => 1
            [high] => 0.48590000
            [low] => 0.47750000
            [mfe_pct] => 0.87
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T18:33:17-04:00
            [end_at] => 2025-09-04T20:33:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0042
            [max_drawdown] => 0.0103
            [rr_ratio] => 0.41
            [high] => 0.49200000
            [low] => 0.47750000
            [mfe_pct] => 0.87
            [mae_pct] => 2.14
            [mfe_mae_ratio] => 0.41
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T18:33:17-04:00
            [end_at] => 2025-09-05T01:33:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.48250000
            [high_after] => 0.48620000
            [low_before] => 0.47450000
            [low_after] => 0.47750000
            [is_new_high] => 
            [is_new_low] => 
        )

)