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Short Trade on CUDIS

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Short Trade on CUDIS 17 Sep 2025 at 12:08:16

Take profit at 0.1043 (3.34 %) and Stop Loss at 0.1098 (1.76 %)

Short Trade on CUDIS

The 17 Sep 2025 at 12:08:16

With 4424.3404 CUDIS at 0.1079$ per unit.

Position size of 477.6075 $

Take profit at 0.1043 (3.34 %) and Stop Loss at 0.1098 (1.76 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.2
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.86
Prediction 3 Probability
0 0.62
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_high
BTC Correlation Score

5m : -0.046318

15m : -0.061604

1H : 0.023965

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.47
  4. atr: 0.001205452751
Details
  1. score: 1.47
  2. 1H
  3. ema9 : 0.107876
  4. ema21 : 0.108217
  5. ema50 : 0.108554
  6. ema100 : 0.107951
  7. price_ema9_diff : 0.00068056
  8. ema9_ema21_diff : -0.00315336
  9. ema21_ema50_diff : -0.00310103
  10. price_ema100_diff : -1.03338E-5
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.489109
  14. ema_slope_21 : 0.473236
  15. ema_slope_50 : 0.179613
  16. ema_slope_100 : 0.101956
  17. rsi : 0.49821
  18. adx : 0.224538
  19. kc_percentage : 0.489189
  20. kc_width_percentage : 0.25514
  21. volume_ema_diff : -0.588607
  22. volume_ema1 : 330942.72533478
  23. volume_ema2 : 804444.84336451
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.103895
  27. ema21 : 0.106118
  28. ema50 : 0.108462
  29. ema100 : 0.107384
  30. price_ema9_diff : 0.0390278
  31. ema9_ema21_diff : -0.0209544
  32. ema21_ema50_diff : -0.021605
  33. price_ema100_diff : 0.00526224
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.364322
  37. ema_slope_21 : -0.486059
  38. ema_slope_50 : -0.256466
  39. ema_slope_100 : -0.0949933
  40. rsi : 0.519149
  41. adx : 0.279923
  42. kc_percentage : 0.683441
  43. kc_width_percentage : 0.102761
  44. volume_ema_diff : -0.700221
  45. volume_ema1 : 51240.696233474
  46. volume_ema2 : 170928.79822789
  47. regime : range_high
    48. ¸
  48. 5m
  49. ema9 : 0.103616
  50. ema21 : 0.103052
  51. ema50 : 0.105152
  52. ema100 : 0.11001
  53. price_ema9_diff : 0.0418261
  54. ema9_ema21_diff : 0.00546805
  55. ema21_ema50_diff : -0.0199731
  56. price_ema100_diff : -0.0187297
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.139975
  60. ema_slope_21 : 0.035311
  61. ema_slope_50 : -0.09983
  62. ema_slope_100 : -0.141017
  63. rsi : 0.754705
  64. adx : 0.23846
  65. kc_percentage : 1.46707
  66. kc_width_percentage : 0.0469678
  67. volume_ema_diff : -0.113702
  68. volume_ema1 : 29313.635830416
  69. volume_ema2 : 33074.246388063
  70. regime : range_high
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    116198
  74. 5m_price_ema100_diff: 
    -0.00465266
  75. 5m_price: 
    115657
  76. 5m_correlation_with_coin: 
    -0.046318
  77. btc_indicators
  78. 15m_ema100: 
    116191
  79. 15m_price_ema100_diff: 
    -0.00459295
  80. 15m_price: 
    115657
  81. 15m_correlation_with_coin: 
    -0.061604
  82. btc_indicators
  83. 1H_ema100: 
    115848
  84. 1H_price_ema100_diff: 
    -0.00164782
  85. 1H_price: 
    115657
  86. 1H_correlation_with_coin: 
    0.023965
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
12:08:16		 17 Sep 2025
12:10:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1079 0.1098 0.1043 1.89 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 0.1079
  • Stop Loss: 0.1098
  • Take Profit: 0.1043

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1098 - 0.1079 = 0.0019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1079 - 0.1043 = 0.0036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0036 / 0.0019 = 1.8947

📌 Position Size

Amount Margin Quantity Leverage
477.6075 100 4424.3404 4.78
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 0.0019

Taille de position = 8 / 0.0019 = 4210.53

Taille de position USD = 4210.53 x 0.1079 = 454.32

Donc, tu peux acheter 4210.53 avec un stoploss a 0.1098

Avec un position size USD de 454.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4210.53 x 0.0019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4210.53 x 0.0036 = 15.16

Si Take Profit atteint, tu gagneras 15.16$

Résumé

  • Taille de position 4210.53
  • Taille de position USD 454.32
  • Perte potentielle 8
  • Gain potentiel 15.16
  • Risk-Reward Ratio 1.8947

📌 Peformances

TP % Target TP $ Target
3.34 % 15.93 $
SL % Target SL $ Target
1.76 % 8.41 $
PNL PNL %
-8.41 $ -1.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.2428 % 127.37 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1043
            [entry_price] => 0.1079
            [stop_loss] => 0.10999
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 12:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1043
            [entry_price] => 0.1079
            [stop_loss] => 0.11018
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 12:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1043
            [entry_price] => 0.1079
            [stop_loss] => 0.11037
            [rr_ratio] => 1.46
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 13:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1043
            [entry_price] => 0.1079
            [stop_loss] => 0.11075
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 13:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00186
            [max_drawdown] => 0.01081
            [rr_ratio] => 0.17
            [high] => 0.11871000
            [low] => 0.10604000
            [mfe_pct] => 1.72
            [mae_pct] => 10.02
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T12:08:16-04:00
            [end_at] => 2025-09-17T14:08:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00186
            [max_drawdown] => 0.01796
            [rr_ratio] => 0.1
            [high] => 0.12586000
            [low] => 0.10604000
            [mfe_pct] => 1.72
            [mae_pct] => 16.65
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T12:08:16-04:00
            [end_at] => 2025-09-17T19:08:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11057000
            [high_after] => 0.12586000
            [low_before] => 0.10043000
            [low_after] => 0.10604000
            [is_new_high] => 
            [is_new_low] => 
        )

)