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Short Trade on CUDIS

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Short Trade on CUDIS 17 Sep 2025 at 12:21:00

Take profit at 0.1034 (4.08 %) and Stop Loss at 0.11 (2.04 %)

Short Trade on CUDIS

The 17 Sep 2025 at 12:21:00

With 3638.499 CUDIS at 0.1078$ per unit.

Position size of 392.1938 $

Take profit at 0.1034 (4.08 %) and Stop Loss at 0.11 (2.04 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.06
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.91
Prediction 3 Probability
1 0.51
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 : -0.097116

15m : 0.229327

1H : -0.018398

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.001465805928
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.107844
  4. ema21 : 0.108203
  5. ema50 : 0.108548
  6. ema100 : 0.107947
  7. price_ema9_diff : -0.000506131
  8. ema9_ema21_diff : -0.00331509
  9. ema21_ema50_diff : -0.0031774
  10. price_ema100_diff : -0.00146317
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.486492
  14. ema_slope_21 : 0.472052
  15. ema_slope_50 : 0.17912
  16. ema_slope_100 : 0.101708
  17. rsi : 0.496729
  18. adx : 0.226324
  19. kc_percentage : 0.484238
  20. kc_width_percentage : 0.260455
  21. volume_ema_diff : -0.525543
  22. volume_ema1 : 384673.34730812
  23. volume_ema2 : 810766.09300843
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.105078
  27. ema21 : 0.106473
  28. ema50 : 0.108538
  29. ema100 : 0.107525
  30. price_ema9_diff : 0.0258078
  31. ema9_ema21_diff : -0.0131078
  32. ema21_ema50_diff : -0.019026
  33. price_ema100_diff : 0.00246314
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.220794
  37. ema_slope_21 : -0.411368
  38. ema_slope_50 : -0.232813
  39. ema_slope_100 : -0.0871814
  40. rsi : 0.519715
  41. adx : 0.273161
  42. kc_percentage : 0.627113
  43. kc_width_percentage : 0.108346
  44. volume_ema_diff : -0.544012
  45. volume_ema1 : 77481.592597872
  46. volume_ema2 : 169920.61477316
  47. regime : range_high
    48. ¸
  48. 5m
  49. ema9 : 0.105801
  50. ema21 : 0.104296
  51. ema50 : 0.105423
  52. ema100 : 0.109495
  53. price_ema9_diff : 0.0187987
  54. ema9_ema21_diff : 0.0144248
  55. ema21_ema50_diff : -0.0106919
  56. price_ema100_diff : -0.0155723
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.274101
  60. ema_slope_21 : 0.128796
  61. ema_slope_50 : -0.0414429
  62. ema_slope_100 : -0.103867
  63. rsi : 0.664755
  64. adx : 0.316887
  65. kc_percentage : 1.04
  66. kc_width_percentage : 0.0591632
  67. volume_ema_diff : -0.0545644
  68. volume_ema1 : 37504.12826358
  69. volume_ema2 : 39668.624674005
  70. regime : range_high
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    116141
  74. 5m_price_ema100_diff: 
    -0.00538138
  75. 5m_price: 
    115516
  76. 5m_correlation_with_coin: 
    -0.097116
  77. btc_indicators
  78. 15m_ema100: 
    116207
  79. 15m_price_ema100_diff: 
    -0.00594919
  80. 15m_price: 
    115516
  81. 15m_correlation_with_coin: 
    0.229327
  82. btc_indicators
  83. 1H_ema100: 
    115845
  84. 1H_price_ema100_diff: 
    -0.00284681
  85. 1H_price: 
    115516
  86. 1H_correlation_with_coin: 
    -0.018398
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
12:21:00		 17 Sep 2025
12:40:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1078 0.11 0.1034 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 0.1078
  • Stop Loss: 0.11
  • Take Profit: 0.1034

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.11 - 0.1078 = 0.0022

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1078 - 0.1034 = 0.0044

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0044 / 0.0022 = 2

📌 Position Size

Amount Margin Quantity Leverage
392.1938 100 3638.499 3.92
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 0.0022

Taille de position = 8 / 0.0022 = 3636.36

Taille de position USD = 3636.36 x 0.1078 = 392

Donc, tu peux acheter 3636.36 avec un stoploss a 0.11

Avec un position size USD de 392$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3636.36 x 0.0022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3636.36 x 0.0044 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 3636.36
  • Taille de position USD 392
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
4.08 % 16.01 $
SL % Target SL $ Target
2.04 % 8 $
PNL PNL %
-8 $ -2.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3655 % 115.91 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1034
            [entry_price] => 0.1078
            [stop_loss] => 0.11022
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 12:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1034
            [entry_price] => 0.1078
            [stop_loss] => 0.11044
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 13:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1034
            [entry_price] => 0.1078
            [stop_loss] => 0.11066
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 13:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1034
            [entry_price] => 0.1078
            [stop_loss] => 0.1111
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 13:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00054000000000001
            [max_drawdown] => 0.01134
            [rr_ratio] => 0.05
            [high] => 0.11914000
            [low] => 0.10726000
            [mfe_pct] => 0.5
            [mae_pct] => 10.52
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T12:21:00-04:00
            [end_at] => 2025-09-17T14:21:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00054000000000001
            [max_drawdown] => 0.01806
            [rr_ratio] => 0.03
            [high] => 0.12586000
            [low] => 0.10726000
            [mfe_pct] => 0.5
            [mae_pct] => 16.75
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T12:21:00-04:00
            [end_at] => 2025-09-17T19:21:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11032000
            [high_after] => 0.12586000
            [low_before] => 0.10043000
            [low_after] => 0.10726000
            [is_new_high] => 
            [is_new_low] => 
        )

)