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Long Trade on CUDIS

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Long Trade on CUDIS 12 Sep 2025 at 23:20:07

Take profit at 0.1008 (1.82 %) and Stop Loss at 0.09808 (0.93 %)

Long Trade on CUDIS

The 12 Sep 2025 at 23:20:07

With 8667.4826 CUDIS at 0.099$ per unit.

Position size of 858.0808 $

Take profit at 0.1008 (1.82 %) and Stop Loss at 0.09808 (0.93 %)

That's a 1.96 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -90
ML Pullback Score: 3.15
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.43
Prediction 3 Probability
1 0.64
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.129989

15m : -0.010287

1H : -0.003856

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0006153266851
Details
  1. score: 2.02
  2. 1H
  3. ema9 : 0.100404
  4. ema21 : 0.0982133
  5. ema50 : 0.0957977
  6. ema100 : 0.0960655
  7. price_ema9_diff : -0.0139911
  8. ema9_ema21_diff : 0.0223131
  9. ema21_ema50_diff : 0.025215
  10. price_ema100_diff : 0.0305463
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.595553
  14. ema_slope_21 : 0.491755
  15. ema_slope_50 : 0.265106
  16. ema_slope_100 : 0.105814
  17. rsi : 0.551661
  18. adx : 0.400392
  19. kc_percentage : 0.554907
  20. kc_width_percentage : 0.114357
  21. volume_ema_diff : 0.00837626
  22. volume_ema1 : 135814.39341919
  23. volume_ema2 : 134686.22566204
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.100359
  27. ema21 : 0.101047
  28. ema50 : 0.0998395
  29. ema100 : 0.097552
  30. price_ema9_diff : -0.0135451
  31. ema9_ema21_diff : -0.00681272
  32. ema21_ema50_diff : 0.0121017
  33. price_ema100_diff : 0.0148428
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.224203
  37. ema_slope_21 : -0.0643073
  38. ema_slope_50 : 0.0571441
  39. ema_slope_100 : 0.0816349
  40. rsi : 0.365044
  41. adx : 0.322477
  42. kc_percentage : 0.0921772
  43. kc_width_percentage : 0.050669
  44. volume_ema_diff : -0.139038
  45. volume_ema1 : 39304.44926441
  46. volume_ema2 : 45651.794900456
  47. regime : range_high
    48. ¸
  48. 5m
  49. ema9 : 0.0994155
  50. ema21 : 0.100241
  51. ema50 : 0.101149
  52. ema100 : 0.10103
  53. price_ema9_diff : -0.00417979
  54. ema9_ema21_diff : -0.00823699
  55. ema21_ema50_diff : -0.00897471
  56. price_ema100_diff : -0.0201007
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : -0.155058
  60. ema_slope_21 : -0.131638
  61. ema_slope_50 : -0.0775099
  62. ema_slope_100 : -0.0306895
  63. rsi : 0.325467
  64. adx : 0.32278
  65. kc_percentage : -0.0199651
  66. kc_width_percentage : 0.0229616
  67. volume_ema_diff : -0.144028
  68. volume_ema1 : 11453.055269214
  69. volume_ema2 : 13380.17822222
  70. regime : bear_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    116020
  74. 5m_price_ema100_diff: 
    -0.00126327
  75. 5m_price: 
    115873
  76. 5m_correlation_with_coin: 
    0.129989
  77. btc_indicators
  78. 15m_ema100: 
    115657
  79. 15m_price_ema100_diff: 
    0.00186764
  80. 15m_price: 
    115873
  81. 15m_correlation_with_coin: 
    -0.010287
  82. btc_indicators
  83. 1H_ema100: 
    114077
  84. 1H_price_ema100_diff: 
    0.0157413
  85. 1H_price: 
    115873
  86. 1H_correlation_with_coin: 
    -0.003856
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
23:20:07		 12 Sep 2025
23:30:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.099 0.09808 0.1008 1.96 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 0.099
  • Stop Loss: 0.09808
  • Take Profit: 0.1008

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09808 - 0.099 = -0.00092

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.099 - 0.1008 = -0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0018 / -0.00092 = 1.9565

📌 Position Size

Amount Margin Quantity Leverage
858.0808 100 8667.4826 8.58
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 -0.00092

Taille de position = 8 / -0.00092 = -8695.65

Taille de position USD = -8695.65 x 0.099 = -860.87

Donc, tu peux acheter -8695.65 avec un stoploss a 0.09808

Avec un position size USD de -860.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8695.65 x -0.00092 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8695.65 x -0.0018 = 15.65

Si Take Profit atteint, tu gagneras 15.65$

Résumé

  • Taille de position -8695.65
  • Taille de position USD -860.87
  • Perte potentielle 8
  • Gain potentiel 15.65
  • Risk-Reward Ratio 1.9565

📌 Peformances

TP % Target TP $ Target
1.82 % 15.6 $
SL % Target SL $ Target
0.93 % 7.97 $
PNL PNL %
-7.97 $ -0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2828 % 138.04 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1008
            [entry_price] => 0.099
            [stop_loss] => 0.097988
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 23:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1008
            [entry_price] => 0.099
            [stop_loss] => 0.097896
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 23:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1008
            [entry_price] => 0.099
            [stop_loss] => 0.097804
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 23:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1008
            [entry_price] => 0.099
            [stop_loss] => 0.09762
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 23:55:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00325
            [max_drawdown] => 0.00127
            [rr_ratio] => 2.56
            [high] => 0.10225000
            [low] => 0.09773000
            [mfe_pct] => 3.28
            [mae_pct] => 1.28
            [mfe_mae_ratio] => 2.56
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T23:20:07-04:00
            [end_at] => 2025-09-13T01:20:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00325
            [max_drawdown] => 0.00177
            [rr_ratio] => 1.84
            [high] => 0.10225000
            [low] => 0.09723000
            [mfe_pct] => 3.28
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 1.84
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T23:20:07-04:00
            [end_at] => 2025-09-13T06:20:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10549000
            [high_after] => 0.10225000
            [low_before] => 0.09832000
            [low_after] => 0.09723000
            [is_new_high] => 
            [is_new_low] => 
        )

)