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Long Trade on AEVO

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Long Trade on AEVO 02 Oct 2025 at 02:09:38

Take profit at 0.1184 (1.54 %) and Stop Loss at 0.1157 (0.77 %)

Long Trade on AEVO

The 02 Oct 2025 at 02:09:38

With 8698.8061 AEVO at 0.1166$ per unit.

Position size of 1014.2808 $

Take profit at 0.1184 (1.54 %) and Stop Loss at 0.1157 (0.77 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.43
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.86
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium_confirmed
BTC Correlation Score

5m : 0.195356

15m : -0.058869

1H : -0.219662

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0006131109563
Details
  1. score: 2.06
  2. 1H
  3. ema9 : 0.117391
  4. ema21 : 0.116059
  5. ema50 : 0.114816
  6. ema100 : 0.116193
  7. price_ema9_diff : -0.00674054
  8. ema9_ema21_diff : 0.0114724
  9. ema21_ema50_diff : 0.0108282
  10. price_ema100_diff : 0.00349812
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.239849
  14. ema_slope_21 : 0.216669
  15. ema_slope_50 : 0.111528
  16. ema_slope_100 : 0.0198267
  17. rsi : 0.537193
  18. adx : 0.331433
  19. kc_percentage : 0.553649
  20. kc_width_percentage : 0.0703833
  21. volume_ema_diff : -0.439464
  22. volume_ema1 : 287656.16750718
  23. volume_ema2 : 513181.12365732
  24. chop : 54.5014
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.117932
  28. ema21 : 0.117948
  29. ema50 : 0.116951
  30. ema100 : 0.115613
  31. price_ema9_diff : -0.0113006
  32. ema9_ema21_diff : -0.000134265
  33. ema21_ema50_diff : 0.0085258
  34. price_ema100_diff : 0.00853416
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0331822
  38. ema_slope_21 : 0.0231396
  39. ema_slope_50 : 0.0540721
  40. ema_slope_100 : 0.050854
  41. rsi : 0.408971
  42. adx : 0.301527
  43. kc_percentage : 0.177119
  44. kc_width_percentage : 0.0364313
  45. volume_ema_diff : 0.00957155
  46. volume_ema1 : 103398.52436539
  47. volume_ema2 : 102418.22302711
  48. chop : 63.6624
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.117595
  52. ema21 : 0.117989
  53. ema50 : 0.118067
  54. ema100 : 0.117604
  55. price_ema9_diff : -0.00846425
  56. ema9_ema21_diff : -0.00334391
  57. ema21_ema50_diff : -0.00066141
  58. price_ema100_diff : -0.00854235
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0567711
  62. ema_slope_21 : -0.0259651
  63. ema_slope_50 : -0.00507227
  64. ema_slope_100 : 0.00760614
  65. rsi : 0.337495
  66. adx : 0.229239
  67. kc_percentage : -0.0592475
  68. kc_width_percentage : 0.021056
  69. volume_ema_diff : 0.529481
  70. volume_ema1 : 49743.755981709
  71. volume_ema2 : 32523.27033866
  72. chop : 43.6723
  73. regime : bear_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    118382
  77. 5m_price_ema100_diff: 
    0.000764921
  78. 5m_price: 
    118472
  79. 5m_correlation_with_coin: 
    0.195356
  80. btc_indicators
  81. 15m_ema100: 
    117318
  82. 15m_price_ema100_diff: 
    0.00983963
  83. 15m_price: 
    118472
  84. 15m_correlation_with_coin: 
    -0.058869
  85. btc_indicators
  86. 1H_ema100: 
    114264
  87. 1H_price_ema100_diff: 
    0.0368331
  88. 1H_price: 
    118472
  89. 1H_correlation_with_coin: 
    -0.219662
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
02 Oct 2025
02:09:38		 02 Oct 2025
02:40:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1166 0.1157 0.1184 2 0.02276
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 0.1166
  • Stop Loss: 0.1157
  • Take Profit: 0.1184

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1157 - 0.1166 = -0.0009

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1166 - 0.1184 = -0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0018 / -0.0009 = 2

📌 Position Size

Amount Margin Quantity Leverage
1014.2808 100 8698.8061 10.14
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 -0.0009

Taille de position = 8 / -0.0009 = -8888.89

Taille de position USD = -8888.89 x 0.1166 = -1036.44

Donc, tu peux acheter -8888.89 avec un stoploss a 0.1157

Avec un position size USD de -1036.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8888.89 x -0.0009 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8888.89 x -0.0018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -8888.89
  • Taille de position USD -1036.44
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.54 % 15.66 $
SL % Target SL $ Target
0.77 % 7.83 $
PNL PNL %
-7.83 $ -0.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8148 % 105.56 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1184
            [entry_price] => 0.1166
            [stop_loss] => 0.11561
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-02 02:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1184
            [entry_price] => 0.1166
            [stop_loss] => 0.11552
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-02 02:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1184
            [entry_price] => 0.1166
            [stop_loss] => 0.11543
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-02 02:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1184
            [entry_price] => 0.1166
            [stop_loss] => 0.11525
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-02 02:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00071
            [max_drawdown] => 0.00226
            [rr_ratio] => 0.31
            [high] => 0.11731000
            [low] => 0.11434000
            [mfe_pct] => 0.61
            [mae_pct] => 1.94
            [mfe_mae_ratio] => 0.31
            [candles_analyzed] => 24
            [start_at] => 2025-10-02T02:09:38-04:00
            [end_at] => 2025-10-02T04:09:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00071
            [max_drawdown] => 0.00226
            [rr_ratio] => 0.31
            [high] => 0.11731000
            [low] => 0.11434000
            [mfe_pct] => 0.61
            [mae_pct] => 1.94
            [mfe_mae_ratio] => 0.31
            [candles_analyzed] => 84
            [start_at] => 2025-10-02T02:09:38-04:00
            [end_at] => 2025-10-02T09:09:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11932000
            [high_after] => 0.11731000
            [low_before] => 0.11639000
            [low_after] => 0.11434000
            [is_new_high] => 
            [is_new_low] => 
        )

)