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Long Trade on EPIC

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Long Trade on EPIC 29 Sep 2025 at 20:29:34

Take profit at 1.8258 (1.46 %) and Stop Loss at 1.7865 (0.73 %)

Long Trade on EPIC

The 29 Sep 2025 at 20:29:34

With 610.1814 EPIC at 1.7996$ per unit.

Position size of 1098.0824 $

Take profit at 1.8258 (1.46 %) and Stop Loss at 1.7865 (0.73 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.81
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.76
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 : bear_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.183502

15m : -0.144737

1H : 0.247135

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.008740570249
Details
  1. score: 2
  2. 1H
  3. ema9 : 1.82513
  4. ema21 : 1.79461
  5. ema50 : 1.74468
  6. ema100 : 1.71783
  7. price_ema9_diff : -0.0139912
  8. ema9_ema21_diff : 0.0170077
  9. ema21_ema50_diff : 0.0286191
  10. price_ema100_diff : 0.0475997
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.409549
  14. ema_slope_21 : 0.403504
  15. ema_slope_50 : 0.269353
  16. ema_slope_100 : 0.154591
  17. rsi : 0.535264
  18. adx : 0.457708
  19. kc_percentage : 0.514944
  20. kc_width_percentage : 0.0867748
  21. volume_ema_diff : -0.272632
  22. volume_ema1 : 77785.952514262
  23. volume_ema2 : 106941.74971296
  24. chop : 40.0664
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 1.81976
  28. ema21 : 1.83038
  29. ema50 : 1.81759
  30. ema100 : 1.78789
  31. price_ema9_diff : -0.0110787
  32. ema9_ema21_diff : -0.00580501
  33. ema21_ema50_diff : 0.00703633
  34. price_ema100_diff : 0.00654533
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.15081
  38. ema_slope_21 : -0.0435674
  39. ema_slope_50 : 0.034956
  40. ema_slope_100 : 0.0553466
  41. rsi : 0.345409
  42. adx : 0.217503
  43. kc_percentage : 0.0262911
  44. kc_width_percentage : 0.0359143
  45. volume_ema_diff : -0.567583
  46. volume_ema1 : 14433.240321894
  47. volume_ema2 : 33378.061260602
  48. chop : 41.4935
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.80524
  52. ema21 : 1.81891
  53. ema50 : 1.83169
  54. ema100 : 1.83682
  55. price_ema9_diff : -0.0031276
  56. ema9_ema21_diff : -0.00751261
  57. ema21_ema50_diff : -0.00697868
  58. price_ema100_diff : -0.0202684
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.114945
  62. ema_slope_21 : -0.090455
  63. ema_slope_50 : -0.0525095
  64. ema_slope_100 : -0.0279141
  65. rsi : 0.349034
  66. adx : 0.342582
  67. kc_percentage : -0.00289045
  68. kc_width_percentage : 0.0204022
  69. volume_ema_diff : 0.202168
  70. volume_ema1 : 7970.8980697757
  71. volume_ema2 : 6630.434938418
  72. chop : 20.4278
  73. regime : bear_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    114076
  77. 5m_price_ema100_diff: 
    6.85411E-5
  78. 5m_price: 
    114084
  79. 5m_correlation_with_coin: 
    0.183502
  80. btc_indicators
  81. 15m_ema100: 
    113175
  82. 15m_price_ema100_diff: 
    0.00771297
  83. 15m_price: 
    114048
  84. 15m_correlation_with_coin: 
    -0.144737
  85. btc_indicators
  86. 1H_ema100: 
    110945
  87. 1H_price_ema100_diff: 
    0.0282884
  88. 1H_price: 
    114084
  89. 1H_correlation_with_coin: 
    0.247135
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
20:29:34		 29 Sep 2025
21:40:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.7996 1.7865 1.8258 2 0.2732
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 1.7996
  • Stop Loss: 1.7865
  • Take Profit: 1.8258

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.7865 - 1.7996 = -0.0131

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.7996 - 1.8258 = -0.0262

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0262 / -0.0131 = 2

📌 Position Size

Amount Margin Quantity Leverage
1098.0824 100 610.1814 10.98
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 -0.0131

Taille de position = 8 / -0.0131 = -610.69

Taille de position USD = -610.69 x 1.7996 = -1099

Donc, tu peux acheter -610.69 avec un stoploss a 1.7865

Avec un position size USD de -1099$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -610.69 x -0.0131 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -610.69 x -0.0262 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -610.69
  • Taille de position USD -1099
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.46 % 15.99 $
SL % Target SL $ Target
0.73 % 7.99 $
PNL PNL %
-7.99 $ -0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8224 % 112.98 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8258
            [entry_price] => 1.7996
            [stop_loss] => 1.78519
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 21:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.8258
            [entry_price] => 1.7996
            [stop_loss] => 1.78388
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 23:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.8258
            [entry_price] => 1.7996
            [stop_loss] => 1.78257
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 23:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.8258
            [entry_price] => 1.7996
            [stop_loss] => 1.77995
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 23:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0154
            [max_drawdown] => 0.0148
            [rr_ratio] => 1.04
            [high] => 1.81500000
            [low] => 1.78480000
            [mfe_pct] => 0.86
            [mae_pct] => 0.82
            [mfe_mae_ratio] => 1.04
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T20:29:34-04:00
            [end_at] => 2025-09-29T22:29:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0564
            [max_drawdown] => 0.0345
            [rr_ratio] => 1.63
            [high] => 1.85600000
            [low] => 1.76510000
            [mfe_pct] => 3.13
            [mae_pct] => 1.92
            [mfe_mae_ratio] => 1.63
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T20:29:34-04:00
            [end_at] => 2025-09-30T03:29:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.86940000
            [high_after] => 1.85600000
            [low_before] => 1.78380000
            [low_after] => 1.76510000
            [is_new_high] => 
            [is_new_low] => 
        )

)