Long Trade on CUDIS 17 Sep 2025 at 06:59:18

Take profit at 0.1215 (9.36 %) and Stop Loss at 0.1059 (4.68 %)

Long Trade on CUDIS

The 17 Sep 2025 at 06:59:18

With 1533.1344 CUDIS at 0.1111$ per unit.

Position size of 170.3466 $

Take profit at 0.1215 (9.36 %) and Stop Loss at 0.1059 (4.68 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.46
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.81
Prediction 3 Probability
0 0.9
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.128436

15m : 0.105251

1H : 0.034904

1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.003478712178
Details
  1. score: 2.14
  2. 1H
  3. ema9 : 0.117002
  4. ema21 : 0.111042
  5. ema50 : 0.109699
  6. ema100 : 0.10877
  7. price_ema9_diff : -0.0503597
  8. ema9_ema21_diff : 0.0536673
  9. ema21_ema50_diff : 0.0122481
  10. price_ema100_diff : 0.0215055
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 1.39163
  14. ema_slope_21 : 0.675154
  15. ema_slope_50 : 0.164504
  16. ema_slope_100 : 0.0775664
  17. rsi : 0.508289
  18. adx : 0.321523
  19. kc_percentage : 0.495001
  20. kc_width_percentage : 0.314617
  21. volume_ema_diff : 0.842336
  22. volume_ema1 : 1739415.0443921
  23. volume_ema2 : 944135.45184191
  24. regime : range_high
  25. ¸
  26. 15m
  27. ema9 : 0.120541
  28. ema21 : 0.12009
  29. ema50 : 0.113799
  30. ema100 : 0.108673
  31. price_ema9_diff : -0.0782453
  32. ema9_ema21_diff : 0.00375571
  33. ema21_ema50_diff : 0.0552804
  34. price_ema100_diff : 0.02242
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.116322
  38. ema_slope_21 : 0.535942
  39. ema_slope_50 : 0.516469
  40. ema_slope_100 : 0.352538
  41. rsi : 0.409068
  42. adx : 0.412497
  43. kc_percentage : 0.130858
  44. kc_width_percentage : 0.224508
  45. volume_ema_diff : 0.370969
  46. volume_ema1 : 402347.67621891
  47. volume_ema2 : 293476.67486825
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.114477
  52. ema21 : 0.119793
  53. ema50 : 0.121002
  54. ema100 : 0.11704
  55. price_ema9_diff : -0.0294162
  56. ema9_ema21_diff : -0.0443744
  57. ema21_ema50_diff : -0.00999306
  58. price_ema100_diff : -0.0506703
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -1.21597
  62. ema_slope_21 : -0.717982
  63. ema_slope_50 : -0.234113
  64. ema_slope_100 : -0.0269426
  65. rsi : 0.244213
  66. adx : 0.406905
  67. kc_percentage : -0.135435
  68. kc_width_percentage : 0.119256
  69. volume_ema_diff : -0.526351
  70. volume_ema1 : 68409.05134643
  71. volume_ema2 : 144429.92677057
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116705
  77. 5m_price_ema100_diff:
    -0.00322794
  78. 5m_price:
    116329
  79. 5m_correlation_with_coin:
    0.128436
  80. btc_indicators
  81. 15m_ema100:
    116365
  82. 15m_price_ema100_diff:
    -0.000139202
  83. 15m_price:
    116349
  84. 15m_correlation_with_coin:
    0.105251
  85. btc_indicators
  86. 1H_ema100:
    115848
  87. 1H_price_ema100_diff:
    0.00414938
  88. 1H_price:
    116329
  89. 1H_correlation_with_coin:
    0.034904
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
06:59:18
17 Sep 2025
08:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1111 0.1059 0.1215 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 0.1111
  • Stop Loss: 0.1059
  • Take Profit: 0.1215

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1059 - 0.1111 = -0.0052

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1111 - 0.1215 = -0.0104

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0104 / -0.0052 = 2

📌 Position Size

Amount Margin Quantity Leverage
170.3466 100 1533.1344 1.70
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 -0.0052

Taille de position = 8 / -0.0052 = -1538.46

Taille de position USD = -1538.46 x 0.1111 = -170.92

Donc, tu peux acheter -1538.46 avec un stoploss a 0.1059

Avec un position size USD de -170.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1538.46 x -0.0052 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1538.46 x -0.0104 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -1538.46
  • Taille de position USD -170.92
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
9.36 % 15.94 $
SL % Target SL $ Target
4.68 % 7.97 $
PNL PNL %
-7.97 $ -4.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.0045 % 106.92 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1215
            [entry_price] => 0.1111
            [stop_loss] => 0.10538
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 08:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1215
            [entry_price] => 0.1111
            [stop_loss] => 0.10486
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 08:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1215
            [entry_price] => 0.1111
            [stop_loss] => 0.10434
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 08:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1215
            [entry_price] => 0.1111
            [stop_loss] => 0.1033
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 09:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00084999999999999
            [max_drawdown] => 0.00711
            [rr_ratio] => 0.12
            [high] => 0.11195000
            [low] => 0.10399000
            [mfe_pct] => 0.77
            [mae_pct] => 6.4
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T06:59:18-04:00
            [end_at] => 2025-09-17T08:59:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00655
            [max_drawdown] => 0.01067
            [rr_ratio] => 0.61
            [high] => 0.11765000
            [low] => 0.10043000
            [mfe_pct] => 5.9
            [mae_pct] => 9.6
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T06:59:18-04:00
            [end_at] => 2025-09-17T13:59:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13778000
            [high_after] => 0.11195000
            [low_before] => 0.11014000
            [low_after] => 0.10043000
            [is_new_high] => 
            [is_new_low] => 
        )

)