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Long Trade on EPIC

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Long Trade on EPIC 29 Sep 2025 at 20:02:13

Take profit at 1.8361 (1.32 %) and Stop Loss at 1.8001 (0.66 %)

Long Trade on EPIC

The 29 Sep 2025 at 20:02:13

With 666.0654 EPIC at 1.8121$ per unit.

Position size of 1206.977 $

Take profit at 1.8361 (1.32 %) and Stop Loss at 1.8001 (0.66 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.64
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.8
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 : range_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.203712

15m : 0.089913

1H : -0.008378

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.008007222168
Details
  1. score: 2.16
  2. 1H
  3. ema9 : 1.82763
  4. ema21 : 1.79574
  5. ema50 : 1.74517
  6. ema100 : 1.71807
  7. price_ema9_diff : -0.00850053
  8. ema9_ema21_diff : 0.0177563
  9. ema21_ema50_diff : 0.0289813
  10. price_ema100_diff : 0.0547244
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.421525
  14. ema_slope_21 : 0.409037
  15. ema_slope_50 : 0.27177
  16. ema_slope_100 : 0.155814
  17. rsi : 0.558635
  18. adx : 0.46706
  19. kc_percentage : 0.593652
  20. kc_width_percentage : 0.0803929
  21. volume_ema_diff : -0.42036
  22. volume_ema1 : 60831.443786439
  23. volume_ema2 : 104947.10162734
  24. chop : 39.9347
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 1.83193
  28. ema21 : 1.83654
  29. ema50 : 1.81966
  30. ema100 : 1.78857
  31. price_ema9_diff : -0.0108251
  32. ema9_ema21_diff : -0.00251232
  33. ema21_ema50_diff : 0.00927419
  34. price_ema100_diff : 0.0131524
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.083847
  38. ema_slope_21 : -0.0046802
  39. ema_slope_50 : 0.0544944
  40. ema_slope_100 : 0.0653771
  41. rsi : 0.408959
  42. adx : 0.204254
  43. kc_percentage : 0.0969119
  44. kc_width_percentage : 0.0336401
  45. volume_ema_diff : -0.709486
  46. volume_ema1 : 9724.7475351736
  47. volume_ema2 : 33474.31350215
  48. chop : 56.1753
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 1.82909
  52. ema21 : 1.83484
  53. ema50 : 1.83985
  54. ema100 : 1.83782
  55. price_ema9_diff : -0.00929137
  56. ema9_ema21_diff : -0.00313593
  57. ema21_ema50_diff : -0.00272123
  58. price_ema100_diff : -0.0139978
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.058172
  62. ema_slope_21 : -0.0548428
  63. ema_slope_50 : -0.0291624
  64. ema_slope_100 : -0.0103387
  65. rsi : 0.331437
  66. adx : 0.271944
  67. kc_percentage : -0.163308
  68. kc_width_percentage : 0.0185925
  69. volume_ema_diff : -0.38274
  70. volume_ema1 : 3836.3771098229
  71. volume_ema2 : 6215.1806975994
  72. chop : 36.7088
  73. regime : bear_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    114043
  77. 5m_price_ema100_diff: 
    0.00165668
  78. 5m_price: 
    114232
  79. 5m_correlation_with_coin: 
    0.203712
  80. btc_indicators
  81. 15m_ema100: 
    113137
  82. 15m_price_ema100_diff: 
    0.00967511
  83. 15m_price: 
    114232
  84. 15m_correlation_with_coin: 
    0.089913
  85. btc_indicators
  86. 1H_ema100: 
    110948
  87. 1H_price_ema100_diff: 
    0.0295988
  88. 1H_price: 
    114232
  89. 1H_correlation_with_coin: 
    -0.008378
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
20:02:13		 29 Sep 2025
20:05:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8121 1.8001 1.8361 2 0.2714
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 1.8121
  • Stop Loss: 1.8001
  • Take Profit: 1.8361

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8001 - 1.8121 = -0.012

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8121 - 1.8361 = -0.024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.024 / -0.012 = 2

📌 Position Size

Amount Margin Quantity Leverage
1206.977 100 666.0654 12.07
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 -0.012

Taille de position = 8 / -0.012 = -666.67

Taille de position USD = -666.67 x 1.8121 = -1208.07

Donc, tu peux acheter -666.67 avec un stoploss a 1.8001

Avec un position size USD de -1208.07$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -666.67 x -0.012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -666.67 x -0.024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -666.67
  • Taille de position USD -1208.07
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.32 % 15.99 $
SL % Target SL $ Target
0.66 % 7.99 $
PNL PNL %
-7.99 $ -0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0485 % 158.34 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8361
            [entry_price] => 1.8121
            [stop_loss] => 1.7989
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 20:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.8361
            [entry_price] => 1.8121
            [stop_loss] => 1.7977
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 20:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.8361
            [entry_price] => 1.8121
            [stop_loss] => 1.7965
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 20:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.8361
            [entry_price] => 1.8121
            [stop_loss] => 1.7941
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 20:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0028999999999999
            [max_drawdown] => 0.0283
            [rr_ratio] => 0.1
            [high] => 1.81500000
            [low] => 1.78380000
            [mfe_pct] => 0.16
            [mae_pct] => 1.56
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T20:02:13-04:00
            [end_at] => 2025-09-29T22:02:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0439
            [max_drawdown] => 0.047
            [rr_ratio] => 0.93
            [high] => 1.85600000
            [low] => 1.76510000
            [mfe_pct] => 2.42
            [mae_pct] => 2.59
            [mfe_mae_ratio] => 0.93
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T20:02:13-04:00
            [end_at] => 2025-09-30T03:02:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.86940000
            [high_after] => 1.84580000
            [low_before] => 1.80440000
            [low_after] => 1.76510000
            [is_new_high] => 
            [is_new_low] => 
        )

)