Long Trade on CUDIS 15 Sep 2025 at 01:01:41

Take profit at 0.1639 (12.49 %) and Stop Loss at 0.1366 (6.25 %)

Long Trade on CUDIS

The 15 Sep 2025 at 01:01:41

With 880.0993 CUDIS at 0.1457$ per unit.

Position size of 128.2305 $

Take profit at 0.1639 (12.49 %) and Stop Loss at 0.1366 (6.25 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.41
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.95
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 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 : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.005275

15m : -0.087434

1H : 0.111154

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.006059922404
Details
  1. score: 2.04
  2. 1H
  3. ema9 : 0.148391
  4. ema21 : 0.133879
  5. ema50 : 0.117113
  6. ema100 : 0.107226
  7. price_ema9_diff : -0.0181358
  8. ema9_ema21_diff : 0.108391
  9. ema21_ema50_diff : 0.143163
  10. price_ema100_diff : 0.358807
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 3.54634
  14. ema_slope_21 : 2.75179
  15. ema_slope_50 : 1.60161
  16. ema_slope_100 : 0.933614
  17. rsi : 0.603352
  18. adx : 0.620383
  19. kc_percentage : 0.667088
  20. kc_width_percentage : 0.444442
  21. volume_ema_diff : 1.03643
  22. volume_ema1 : 4447528.9048222
  23. volume_ema2 : 2183978.2838387
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.157405
  28. ema21 : 0.156344
  29. ema50 : 0.14386
  30. ema100 : 0.128775
  31. price_ema9_diff : -0.0743638
  32. ema9_ema21_diff : 0.00678553
  33. ema21_ema50_diff : 0.0867747
  34. price_ema100_diff : 0.131426
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00742375
  38. ema_slope_21 : 0.367207
  39. ema_slope_50 : 0.622251
  40. ema_slope_100 : 0.592218
  41. rsi : 0.428939
  42. adx : 0.419945
  43. kc_percentage : 0.225606
  44. kc_width_percentage : 0.274556
  45. volume_ema_diff : 0.251733
  46. volume_ema1 : 1598442.5245921
  47. volume_ema2 : 1276983.1112217
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.154885
  52. ema21 : 0.159491
  53. ema50 : 0.15949
  54. ema100 : 0.155086
  55. price_ema9_diff : -0.0593079
  56. ema9_ema21_diff : -0.0288755
  57. ema21_ema50_diff : 6.2545E-6
  58. price_ema100_diff : -0.0605255
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.525192
  62. ema_slope_21 : -0.209297
  63. ema_slope_50 : -0.00820967
  64. ema_slope_100 : 0.0699023
  65. rsi : 0.318838
  66. adx : 0.27249
  67. kc_percentage : -0.0426108
  68. kc_width_percentage : 0.172381
  69. volume_ema_diff : 0.29249
  70. volume_ema1 : 717149.69829416
  71. volume_ema2 : 554858.95605844
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115517
  77. 5m_price_ema100_diff:
    0.0041381
  78. 5m_price:
    115995
  79. 5m_correlation_with_coin:
    0.005275
  80. btc_indicators
  81. 15m_ema100:
    115555
  82. 15m_price_ema100_diff:
    0.00380654
  83. 15m_price:
    115995
  84. 15m_correlation_with_coin:
    -0.087434
  85. btc_indicators
  86. 1H_ema100:
    115287
  87. 1H_price_ema100_diff:
    0.00613792
  88. 1H_price:
    115995
  89. 1H_correlation_with_coin:
    0.111154
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
01:01:41
15 Sep 2025
03:40:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1457 0.1366 0.1639 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 0.1457
  • Stop Loss: 0.1366
  • Take Profit: 0.1639

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1366 - 0.1457 = -0.0091

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1457 - 0.1639 = -0.0182

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0182 / -0.0091 = 2

📌 Position Size

Amount Margin Quantity Leverage
128.2305 100 880.0993 1.28
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 -0.0091

Taille de position = 8 / -0.0091 = -879.12

Taille de position USD = -879.12 x 0.1457 = -128.09

Donc, tu peux acheter -879.12 avec un stoploss a 0.1366

Avec un position size USD de -128.09$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -879.12 x -0.0091 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -879.12 x -0.0182 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -879.12
  • Taille de position USD -128.09
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
12.49 % 16.02 $
SL % Target SL $ Target
6.25 % 8.01 $
PNL PNL %
-8.01 $ -6.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-9.5196 % 152.42 % 15

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1639
            [entry_price] => 0.1457
            [stop_loss] => 0.13569
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 03:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1639
            [entry_price] => 0.1457
            [stop_loss] => 0.13478
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 03:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1639
            [entry_price] => 0.1457
            [stop_loss] => 0.13387
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 03:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1639
            [entry_price] => 0.1457
            [stop_loss] => 0.13205
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 03:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0068
            [max_drawdown] => 0.0043
            [rr_ratio] => 1.58
            [high] => 0.15250000
            [low] => 0.14140000
            [mfe_pct] => 4.67
            [mae_pct] => 2.95
            [mfe_mae_ratio] => 1.58
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T01:01:41-04:00
            [end_at] => 2025-09-15T03:01:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0068
            [max_drawdown] => 0.02751
            [rr_ratio] => 0.25
            [high] => 0.15250000
            [low] => 0.11819000
            [mfe_pct] => 4.67
            [mae_pct] => 18.88
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T01:01:41-04:00
            [end_at] => 2025-09-15T08:01:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17439000
            [high_after] => 0.15250000
            [low_before] => 0.14205000
            [low_after] => 0.12330000
            [is_new_high] => 
            [is_new_low] => 
        )

)