Long Trade on CUDIS 17 Sep 2025 at 07:06:22

Take profit at 0.1207 (8.45 %) and Stop Loss at 0.1066 (4.22 %)

Long Trade on CUDIS

The 17 Sep 2025 at 07:06:22

With 1694.5653 CUDIS at 0.1113$ per unit.

Position size of 188.5882 $

Take profit at 0.1207 (8.45 %) and Stop Loss at 0.1066 (4.22 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.47
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.62
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.12278

15m : 0.073325

1H : -0.033461

1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.003147316423
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 0.115824
  4. ema21 : 0.111047
  5. ema50 : 0.109747
  6. ema100 : 0.108771
  7. price_ema9_diff : -0.0391502
  8. ema9_ema21_diff : 0.043022
  9. ema21_ema50_diff : 0.0118437
  10. price_ema100_diff : 0.0231514
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 1.29431
  14. ema_slope_21 : 0.695407
  15. ema_slope_50 : 0.191828
  16. ema_slope_100 : 0.0937515
  17. rsi : 0.509855
  18. adx : 0.312696
  19. kc_percentage : 0.500739
  20. kc_width_percentage : 0.288304
  21. volume_ema_diff : 0.288592
  22. volume_ema1 : 1170781.8054481
  23. volume_ema2 : 908573.97466264
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.118707
  28. ema21 : 0.119298
  29. ema50 : 0.113689
  30. ema100 : 0.108608
  31. price_ema9_diff : -0.0624853
  32. ema9_ema21_diff : -0.00495786
  33. ema21_ema50_diff : 0.0493433
  34. price_ema100_diff : 0.0246924
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0621825
  38. ema_slope_21 : 0.409598
  39. ema_slope_50 : 0.460716
  40. ema_slope_100 : 0.329938
  41. rsi : 0.415403
  42. adx : 0.396608
  43. kc_percentage : 0.146728
  44. kc_width_percentage : 0.207984
  45. volume_ema_diff : 0.0177006
  46. volume_ema1 : 290140.68178594
  47. volume_ema2 : 285094.32927624
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.113289
  52. ema21 : 0.118294
  53. ema50 : 0.120244
  54. ema100 : 0.116811
  55. price_ema9_diff : -0.0176454
  56. ema9_ema21_diff : -0.0423122
  57. ema21_ema50_diff : -0.0162207
  58. price_ema100_diff : -0.0472661
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -1.09573
  62. ema_slope_21 : -0.744943
  63. ema_slope_50 : -0.284295
  64. ema_slope_100 : -0.062743
  65. rsi : 0.252112
  66. adx : 0.418024
  67. kc_percentage : -0.0822245
  68. kc_width_percentage : 0.103727
  69. volume_ema_diff : -0.712691
  70. volume_ema1 : 38660.795473969
  71. volume_ema2 : 134561.92890973
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116672
  77. 5m_price_ema100_diff:
    -0.00362049
  78. 5m_price:
    116250
  79. 5m_correlation_with_coin:
    0.12278
  80. btc_indicators
  81. 15m_ema100:
    116372
  82. 15m_price_ema100_diff:
    -0.00105284
  83. 15m_price:
    116250
  84. 15m_correlation_with_coin:
    0.073325
  85. btc_indicators
  86. 1H_ema100:
    115882
  87. 1H_price_ema100_diff:
    0.00317524
  88. 1H_price:
    116250
  89. 1H_correlation_with_coin:
    -0.033461
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
07:06:22
17 Sep 2025
07:15:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1113 0.1066 0.1207 2 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 0.1113
  • Stop Loss: 0.1066
  • Take Profit: 0.1207

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1066 - 0.1113 = -0.0047

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1113 - 0.1207 = -0.0094

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0094 / -0.0047 = 2

📌 Position Size

Amount Margin Quantity Leverage
188.5882 100 1694.5653 1.89
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 -0.0047

Taille de position = 8 / -0.0047 = -1702.13

Taille de position USD = -1702.13 x 0.1113 = -189.45

Donc, tu peux acheter -1702.13 avec un stoploss a 0.1066

Avec un position size USD de -189.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1702.13 x -0.0047 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1702.13 x -0.0094 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -1702.13
  • Taille de position USD -189.45
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
8.45 % 15.93 $
SL % Target SL $ Target
4.22 % 7.96 $
PNL PNL %
-7.96 $ -4.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.3845 % 103.83 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1207
            [entry_price] => 0.1113
            [stop_loss] => 0.10613
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 08:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1207
            [entry_price] => 0.1113
            [stop_loss] => 0.10566
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 08:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1207
            [entry_price] => 0.1113
            [stop_loss] => 0.10519
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 08:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1207
            [entry_price] => 0.1113
            [stop_loss] => 0.10425
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 08:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00061
            [max_drawdown] => 0.00731
            [rr_ratio] => 0.08
            [high] => 0.11191000
            [low] => 0.10399000
            [mfe_pct] => 0.55
            [mae_pct] => 6.57
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T07:06:22-04:00
            [end_at] => 2025-09-17T09:06:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00741
            [max_drawdown] => 0.01087
            [rr_ratio] => 0.68
            [high] => 0.11871000
            [low] => 0.10043000
            [mfe_pct] => 6.66
            [mae_pct] => 9.77
            [mfe_mae_ratio] => 0.68
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T07:06:22-04:00
            [end_at] => 2025-09-17T14:06:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13778000
            [high_after] => 0.11191000
            [low_before] => 0.11014000
            [low_after] => 0.10043000
            [is_new_high] => 
            [is_new_low] => 
        )

)