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Long Trade on JUP

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Long Trade on JUP 12 Sep 2025 at 16:23:33

Take profit at 0.5615 (0.61 %) and Stop Loss at 0.5564 (0.3 %)

Long Trade on JUP

The 12 Sep 2025 at 16:23:33

With 4654.0371 JUP at 0.5581$ per unit.

Position size of 2597.4181 $

Take profit at 0.5615 (0.61 %) and Stop Loss at 0.5564 (0.3 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -80
ML Pullback Score: 5.03
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.71
Prediction 2 Probability
0 0.46
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.636271

15m : 0.221661

1H : 0.041364

 3

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.001145958485
Details
  1. score: 2.01
  2. 1H
  3. ema9 : 0.559629
  4. ema21 : 0.556312
  5. ema50 : 0.547648
  6. ema100 : 0.538501
  7. price_ema9_diff : -0.00273394
  8. ema9_ema21_diff : 0.00596391
  9. ema21_ema50_diff : 0.0158205
  10. price_ema100_diff : 0.036395
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0373116
  14. ema_slope_21 : 0.110735
  15. ema_slope_50 : 0.114062
  16. ema_slope_100 : 0.0895929
  17. rsi : 0.547079
  18. adx : 0.332242
  19. kc_percentage : 0.557276
  20. kc_width_percentage : 0.0452182
  21. volume_ema_diff : -0.344422
  22. volume_ema1 : 465302.61582917
  23. volume_ema2 : 709759.59901001
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.560384
  27. ema21 : 0.56024
  28. ema50 : 0.558774
  29. ema100 : 0.554634
  30. price_ema9_diff : -0.00407592
  31. ema9_ema21_diff : 0.000256876
  32. ema21_ema50_diff : 0.00262384
  33. price_ema100_diff : 0.00624791
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0221334
  37. ema_slope_21 : 0.0212584
  38. ema_slope_50 : 0.0213329
  39. ema_slope_100 : 0.026655
  40. rsi : 0.464594
  41. adx : 0.106678
  42. kc_percentage : 0.261408
  43. kc_width_percentage : 0.0162885
  44. volume_ema_diff : -0.383962
  45. volume_ema1 : 108968.20797975
  46. volume_ema2 : 176885.73564304
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.559869
  50. ema21 : 0.560455
  51. ema50 : 0.560282
  52. ema100 : 0.559023
  53. price_ema9_diff : -0.00316041
  54. ema9_ema21_diff : -0.00104602
  55. ema21_ema50_diff : 0.000308379
  56. price_ema100_diff : -0.00165282
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : -0.018251
  60. ema_slope_21 : -0.0109093
  61. ema_slope_50 : -0.000411239
  62. ema_slope_100 : 0.00507721
  63. rsi : 0.350654
  64. adx : 0.146464
  65. kc_percentage : -0.0115225
  66. kc_width_percentage : 0.00817741
  67. volume_ema_diff : 0.56408
  68. volume_ema1 : 81190.38579423
  69. volume_ema2 : 51909.346327239
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115649
  74. 5m_price_ema100_diff: 
    0.00264392
  75. 5m_price: 
    115954
  76. 5m_correlation_with_coin: 
    0.636271
  77. btc_indicators
  78. 15m_ema100: 
    115249
  79. 15m_price_ema100_diff: 
    0.00697323
  80. 15m_price: 
    116053
  81. 15m_correlation_with_coin: 
    0.221661
  82. btc_indicators
  83. 1H_ema100: 
    113886
  84. 1H_price_ema100_diff: 
    0.018162
  85. 1H_price: 
    115954
  86. 1H_correlation_with_coin: 
    0.041364
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
16:23:33		 12 Sep 2025
16:25:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5581 0.5564 0.5615 2 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 0.5581
  • Stop Loss: 0.5564
  • Take Profit: 0.5615

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5564 - 0.5581 = -0.0017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5581 - 0.5615 = -0.0034

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0034 / -0.0017 = 2

📌 Position Size

Amount Margin Quantity Leverage
2597.4181 100 4654.0371 25.97
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 -0.0017

Taille de position = 8 / -0.0017 = -4705.88

Taille de position USD = -4705.88 x 0.5581 = -2626.35

Donc, tu peux acheter -4705.88 avec un stoploss a 0.5564

Avec un position size USD de -2626.35$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4705.88 x -0.0017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4705.88 x -0.0034 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -4705.88
  • Taille de position USD -2626.35
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.61 % 15.82 $
SL % Target SL $ Target
0.3 % 7.91 $
PNL PNL %
-7.91 $ -0.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3225 % 105.88 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5615
            [entry_price] => 0.5581
            [stop_loss] => 0.55623
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 17:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5615
            [entry_price] => 0.5581
            [stop_loss] => 0.55606
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 17:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5615
            [entry_price] => 0.5581
            [stop_loss] => 0.55589
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 18:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.5615
            [entry_price] => 0.5581
            [stop_loss] => 0.55555
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 18:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0042
            [max_drawdown] => 0.0022000000000001
            [rr_ratio] => 1.91
            [high] => 0.56230000
            [low] => 0.55590000
            [mfe_pct] => 0.75
            [mae_pct] => 0.39
            [mfe_mae_ratio] => 1.91
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T16:23:33-04:00
            [end_at] => 2025-09-12T18:23:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.006
            [max_drawdown] => 0.0024000000000001
            [rr_ratio] => 2.5
            [high] => 0.56410000
            [low] => 0.55570000
            [mfe_pct] => 1.08
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 2.5
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T16:23:33-04:00
            [end_at] => 2025-09-12T23:23:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.56380000
            [high_after] => 0.56410000
            [low_before] => 0.55650000
            [low_after] => 0.55570000
            [is_new_high] => 1
            [is_new_low] => 
        )

)