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Long Trade on CUDIS

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Long Trade on CUDIS 08 Sep 2025 at 21:35:20

Take profit at 0.1013 (2.37 %) and Stop Loss at 0.09777 (1.19 %)

Long Trade on CUDIS

The 08 Sep 2025 at 21:35:20

With 6779.591 CUDIS at 0.09895$ per unit.

Position size of 670.8405 $

Take profit at 0.1013 (2.37 %) and Stop Loss at 0.09777 (1.19 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.21
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high
BTC Correlation Score

5m : 0.041111

15m : 0.148131

1H : -0.095077

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.0007866747932
Details
  1. score: 2.23
  2. 1H
  3. ema9 : 0.0999288
  4. ema21 : 0.0975955
  5. ema50 : 0.0928503
  6. ema100 : 0.0881782
  7. price_ema9_diff : -0.00979522
  8. ema9_ema21_diff : 0.0239079
  9. ema21_ema50_diff : 0.0511056
  10. price_ema100_diff : 0.122158
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.432454
  14. ema_slope_21 : 0.411673
  15. ema_slope_50 : 0.384124
  16. ema_slope_100 : 0.298017
  17. rsi : 0.540486
  18. adx : 0.438624
  19. kc_percentage : 0.572257
  20. kc_width_percentage : 0.16308
  21. volume_ema_diff : -0.572296
  22. volume_ema1 : 143304.64919545
  23. volume_ema2 : 335056.38723811
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.101068
  27. ema21 : 0.100599
  28. ema50 : 0.0990189
  29. ema100 : 0.0980938
  30. price_ema9_diff : -0.0209592
  31. ema9_ema21_diff : 0.00466385
  32. ema21_ema50_diff : 0.0159579
  33. price_ema100_diff : 0.00872768
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0598056
  37. ema_slope_21 : 0.151424
  38. ema_slope_50 : 0.132976
  39. ema_slope_100 : 0.0809878
  40. rsi : 0.447652
  41. adx : 0.253768
  42. kc_percentage : 0.217759
  43. kc_width_percentage : 0.0613927
  44. volume_ema_diff : -0.558466
  45. volume_ema1 : 31778.762754015
  46. volume_ema2 : 71973.588607646
  47. regime : bull_high
    48. ¸
  48. 5m
  49. ema9 : 0.100515
  50. ema21 : 0.10135
  51. ema50 : 0.100977
  52. ema100 : 0.0995201
  53. price_ema9_diff : -0.0155717
  54. ema9_ema21_diff : -0.00823989
  55. ema21_ema50_diff : 0.00368712
  56. price_ema100_diff : -0.00572882
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : -0.142561
  60. ema_slope_21 : -0.0437313
  61. ema_slope_50 : 0.0238895
  62. ema_slope_100 : 0.0468858
  63. rsi : 0.297528
  64. adx : 0.362398
  65. kc_percentage : -0.232913
  66. kc_width_percentage : 0.0327559
  67. volume_ema_diff : 0.00184314
  68. volume_ema1 : 13141.19776984
  69. volume_ema2 : 13117.021246336
  70. regime : bear_high
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    112010
  74. 5m_price_ema100_diff: 
    -0.00623168
  75. 5m_price: 
    111312
  76. 5m_correlation_with_coin: 
    0.041111
  77. btc_indicators
  78. 15m_ema100: 
    111773
  79. 15m_price_ema100_diff: 
    -0.00412747
  80. 15m_price: 
    111312
  81. 15m_correlation_with_coin: 
    0.148131
  82. btc_indicators
  83. 1H_ema100: 
    111342
  84. 1H_price_ema100_diff: 
    -0.000269151
  85. 1H_price: 
    111312
  86. 1H_correlation_with_coin: 
    -0.095077
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Sep 2025
21:35:20		 08 Sep 2025
22:10:00		 34 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09895 0.09777 0.1013 1.99 0.0306
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 0.09895
  • Stop Loss: 0.09777
  • Take Profit: 0.1013

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09777 - 0.09895 = -0.00118

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09895 - 0.1013 = -0.00235

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00235 / -0.00118 = 1.9915

📌 Position Size

Amount Margin Quantity Leverage
670.8405 100 6779.591 6.71
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 -0.00118

Taille de position = 8 / -0.00118 = -6779.66

Taille de position USD = -6779.66 x 0.09895 = -670.85

Donc, tu peux acheter -6779.66 avec un stoploss a 0.09777

Avec un position size USD de -670.85$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6779.66 x -0.00118 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6779.66 x -0.00235 = 15.93

Si Take Profit atteint, tu gagneras 15.93$

Résumé

  • Taille de position -6779.66
  • Taille de position USD -670.85
  • Perte potentielle 8
  • Gain potentiel 15.93
  • Risk-Reward Ratio 1.9915

📌 Peformances

TP % Target TP $ Target
2.37 % 15.93 $
SL % Target SL $ Target
1.19 % 8 $
PNL PNL %
-8 $ -1.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2633 % 105.94 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1013
            [entry_price] => 0.09895
            [stop_loss] => 0.097652
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-08 22:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1013
            [entry_price] => 0.09895
            [stop_loss] => 0.097534
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-08 22:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1013
            [entry_price] => 0.09895
            [stop_loss] => 0.097416
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-08 22:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1013
            [entry_price] => 0.09895
            [stop_loss] => 0.09718
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-08 22:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00077000000000001
            [max_drawdown] => 0.00304
            [rr_ratio] => 0.25
            [high] => 0.09972000
            [low] => 0.09591000
            [mfe_pct] => 0.78
            [mae_pct] => 3.07
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 24
            [start_at] => 2025-09-08T21:35:20-04:00
            [end_at] => 2025-09-08T23:35:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00515
            [max_drawdown] => 0.00304
            [rr_ratio] => 1.69
            [high] => 0.10410000
            [low] => 0.09591000
            [mfe_pct] => 5.2
            [mae_pct] => 3.07
            [mfe_mae_ratio] => 1.69
            [candles_analyzed] => 84
            [start_at] => 2025-09-08T21:35:20-04:00
            [end_at] => 2025-09-09T04:35:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10439000
            [high_after] => 0.10410000
            [low_before] => 0.09856000
            [low_after] => 0.09591000
            [is_new_high] => 
            [is_new_low] => 
        )

)