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Long Trade on AWE

Long Trade on AWE

The 30 Nov 2025 at 03:35:09

With 10445.2038 AWE at 0.06205$ per unit.

Position size of 648.1353 $

Take profit at 0.06358 (2.47 %) and Stop Loss at 0.06129 (1.22 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.3
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.82
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_high
BTC Correlation Score

5m : -0.052267

15m : 0.075806

1H : -0.012105

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.0005106011753
Details
  1. score: 2.25
  2. 1H
  3. ema9 - 0.0630813
  4. ema21 - 0.0618375
  5. ema50 - 0.0600685
  6. ema100 - 0.0576822
  7. price_ema9_diff - -0.0163341
  8. ema9_ema21_diff - 0.0201136
  9. ema21_ema50_diff - 0.0294503
  10. price_ema100_diff - 0.0757388
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.560374
  14. ema_slope_21 - 0.349191
  15. ema_slope_50 - 0.235267
  16. ema_slope_100 - 0.198982
  17. rsi - 0.524555
  18. adx - 0.370006
  19. kc_percentage - 0.515795
  20. kc_width_percentage - 0.138897
  21. volume_ema_diff - 0.347697
  22. volume_ema1 - 504537.76057609
  23. volume_ema2 - 374370.17534832
  24. chop - 30.3418
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0634659
  28. ema21 - 0.0637968
  29. ema50 - 0.0627565
  30. ema100 - 0.0616317
  31. price_ema9_diff - -0.022295
  32. ema9_ema21_diff - -0.0051861
  33. ema21_ema50_diff - 0.0165758
  34. price_ema100_diff - 0.0068033
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.23124
  38. ema_slope_21 - -0.0166842
  39. ema_slope_50 - 0.0960542
  40. ema_slope_100 - 0.0870546
  41. rsi - 0.395689
  42. adx - 0.319991
  43. kc_percentage - 0.110869
  44. kc_width_percentage - 0.0729987
  45. volume_ema_diff - -0.489274
  46. volume_ema1 - 70473.524957738
  47. volume_ema2 - 137987.08573787
  48. chop - 54.656
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0627524
  52. ema21 - 0.063494
  53. ema50 - 0.0640084
  54. ema100 - 0.0635817
  55. price_ema9_diff - -0.0111783
  56. ema9_ema21_diff - -0.0116794
  57. ema21_ema50_diff - -0.00803606
  58. price_ema100_diff - -0.0240747
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.237861
  62. ema_slope_21 - -0.16291
  63. ema_slope_50 - -0.0766194
  64. ema_slope_100 - -0.0171911
  65. rsi - 0.2505
  66. adx - 0.232246
  67. kc_percentage - -0.249554
  68. kc_width_percentage - 0.0300745
  69. volume_ema_diff - -0.537749
  70. volume_ema1 - 20585.870725808
  71. volume_ema2 - 44534.039028481
  72. chop - 39.2062
  73. regime - bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90860.3
  77. 5m_price_ema100_diff: 0.00306719
  78. 5m_price: 91139
  79. 5m_correlation_with_coin: -0.052267
  80. btc_indicators
  81. 15m_ema100: 90752.5
  82. 15m_price_ema100_diff: 0.00425732
  83. 15m_price: 91138.9
  84. 15m_correlation_with_coin: 0.075806
  85. btc_indicators
  86. 1H_ema100: 90332.3
  87. 1H_price_ema100_diff: 0.00893031
  88. 1H_price: 91139
  89. 1H_correlation_with_coin: -0.012105
    90. ¸

📌 Time Data

Start at Closed at Duration
30 Nov 2025
03:35:09		 30 Nov 2025
03:40:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06205 0.06129 0.06358 2.01 0.05594
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 0.06205
  • Stop Loss: 0.06129
  • Take Profit: 0.06358

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06129 - 0.06205 = -0.00076

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06205 - 0.06358 = -0.00153

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00153 / -0.00076 = 2.0132

📌 Position Size

Amount Margin Quantity Leverage
648.1353 100 10445.2038 6.48
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 -0.00076

Taille de position = 8 / -0.00076 = -10526.32

Taille de position USD = -10526.32 x 0.06205 = -653.16

Donc, tu peux acheter -10526.32 avec un stoploss a 0.06129

Avec un position size USD de -653.16$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10526.32 x -0.00076 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10526.32 x -0.00153 = 16.11

Si Take Profit atteint, tu gagneras 16.11$

Résumé

  • Taille de position -10526.32
  • Taille de position USD -653.16
  • Perte potentielle 8
  • Gain potentiel 16.11
  • Risk-Reward Ratio 2.0132

📌 Peformances

TP % Target TP $ Target
2.47 % 15.98 $
SL % Target SL $ Target
1.22 % 7.94 $
PNL PNL %
-7.94 $ -1.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3102 % 106.97 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06358
            [entry_price] => 0.06205
            [stop_loss] => 0.061214
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-30 03:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06358
            [entry_price] => 0.06205
            [stop_loss] => 0.061138
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-30 03:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06358
            [entry_price] => 0.06205
            [stop_loss] => 0.061062
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-30 04:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06358
            [entry_price] => 0.06205
            [stop_loss] => 0.06091
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-30 04:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000548
            [max_drawdown] => 0.002109
            [rr_ratio] => 0.26
            [high] => 0.06259800
            [low] => 0.05994100
            [mfe_pct] => 0.88
            [mae_pct] => 3.4
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 24
            [start_at] => 2025-11-30T03:35:09-05:00
            [end_at] => 2025-11-30T05:35:09-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000548
            [max_drawdown] => 0.003437
            [rr_ratio] => 0.16
            [high] => 0.06259800
            [low] => 0.05861300
            [mfe_pct] => 0.88
            [mae_pct] => 5.54
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-11-30T03:35:09-05:00
            [end_at] => 2025-11-30T10:35:09-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06808500
            [high_after] => 0.06259800
            [low_before] => 0.06161700
            [low_after] => 0.05861300
            [is_new_high] => 
            [is_new_low] => 
        )

)