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Long Trade on AWE

Long Trade on AWE

The 30 Nov 2025 at 03:52:13

With 10084.1922 AWE at 0.06191$ per unit.

Position size of 624.3023 $

Take profit at 0.0635 (2.57 %) and Stop Loss at 0.06112 (1.28 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.07
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.71
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_high
BTC Correlation Score

5m : -0.029346

15m : 0.073558

1H : -0.046151

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0005288805717
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.0630529
  4. ema21 - 0.0618246
  5. ema50 - 0.0600629
  6. ema100 - 0.0576794
  7. price_ema9_diff - -0.0181431
  8. ema9_ema21_diff - 0.0198673
  9. ema21_ema50_diff - 0.0293308
  10. price_ema100_diff - 0.0733294
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.55637
  14. ema_slope_21 - 0.347378
  15. ema_slope_50 - 0.234472
  16. ema_slope_100 - 0.198566
  17. rsi - 0.519189
  18. adx - 0.364498
  19. kc_percentage - 0.500859
  20. kc_width_percentage - 0.1439
  21. volume_ema_diff - 0.40732
  22. volume_ema1 - 531287.80866243
  23. volume_ema2 - 377517.23982906
  24. chop - 30.4303
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0629279
  28. ema21 - 0.0635149
  29. ema50 - 0.062667
  30. ema100 - 0.0615586
  31. price_ema9_diff - -0.0161927
  32. ema9_ema21_diff - -0.00924132
  33. ema21_ema50_diff - 0.0135295
  34. price_ema100_diff - 0.00569054
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.284993
  38. ema_slope_21 - -0.0622089
  39. ema_slope_50 - 0.0716402
  40. ema_slope_100 - 0.0764095
  41. rsi - 0.36687
  42. adx - 0.309581
  43. kc_percentage - 0.135331
  44. kc_width_percentage - 0.0712264
  45. volume_ema_diff - -0.552824
  46. volume_ema1 - 60092.374495937
  47. volume_ema2 - 134381.96744315
  48. chop - 48.4607
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0621336
  52. ema21 - 0.0629809
  53. ema50 - 0.063706
  54. ema100 - 0.0633905
  55. price_ema9_diff - -0.00361506
  56. ema9_ema21_diff - -0.0134535
  57. ema21_ema50_diff - -0.0113818
  58. price_ema100_diff - -0.0233722
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.287098
  62. ema_slope_21 - -0.208024
  63. ema_slope_50 - -0.106572
  64. ema_slope_100 - -0.0344609
  65. rsi - 0.321449
  66. adx - 0.289296
  67. kc_percentage - -0.00658239
  68. kc_width_percentage - 0.0324492
  69. volume_ema_diff - -0.429147
  70. volume_ema1 - 23973.362187005
  71. volume_ema2 - 41995.756213548
  72. chop - 33.8313
  73. regime - bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90872.2
  77. 5m_price_ema100_diff: 0.00365369
  78. 5m_price: 91204.3
  79. 5m_correlation_with_coin: -0.029346
  80. btc_indicators
  81. 15m_ema100: 90768.9
  82. 15m_price_ema100_diff: 0.00411943
  83. 15m_price: 91142.9
  84. 15m_correlation_with_coin: 0.073558
  85. btc_indicators
  86. 1H_ema100: 90333.5
  87. 1H_price_ema100_diff: 0.00963874
  88. 1H_price: 91204.3
  89. 1H_correlation_with_coin: -0.046151
    90. ¸

📌 Time Data

Start at Closed at Duration
30 Nov 2025
03:52:13		 30 Nov 2025
04:05:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06191 0.06112 0.0635 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 0.06191
  • Stop Loss: 0.06112
  • Take Profit: 0.0635

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06112 - 0.06191 = -0.00079

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06191 - 0.0635 = -0.00159

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00159 / -0.00079 = 2.0127

📌 Position Size

Amount Margin Quantity Leverage
624.3023 100 10084.1922 6.24
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 -0.00079

Taille de position = 8 / -0.00079 = -10126.58

Taille de position USD = -10126.58 x 0.06191 = -626.94

Donc, tu peux acheter -10126.58 avec un stoploss a 0.06112

Avec un position size USD de -626.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10126.58 x -0.00079 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10126.58 x -0.00159 = 16.1

Si Take Profit atteint, tu gagneras 16.1$

Résumé

  • Taille de position -10126.58
  • Taille de position USD -626.94
  • Perte potentielle 8
  • Gain potentiel 16.1
  • Risk-Reward Ratio 2.0127

📌 Peformances

TP % Target TP $ Target
2.57 % 16.03 $
SL % Target SL $ Target
1.28 % 7.97 $
PNL PNL %
-7.97 $ -1.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4408 % 112.92 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0635
            [entry_price] => 0.06191
            [stop_loss] => 0.061041
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-30 04:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0635
            [entry_price] => 0.06191
            [stop_loss] => 0.060962
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-30 04:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0635
            [entry_price] => 0.06191
            [stop_loss] => 0.060883
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-30 04:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0635
            [entry_price] => 0.06191
            [stop_loss] => 0.060725
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-30 04:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000114
            [max_drawdown] => 0.001969
            [rr_ratio] => 0.06
            [high] => 0.06202400
            [low] => 0.05994100
            [mfe_pct] => 0.18
            [mae_pct] => 3.18
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2025-11-30T03:52:13-05:00
            [end_at] => 2025-11-30T05:52:13-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000114
            [max_drawdown] => 0.003297
            [rr_ratio] => 0.03
            [high] => 0.06202400
            [low] => 0.05861300
            [mfe_pct] => 0.18
            [mae_pct] => 5.33
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 84
            [start_at] => 2025-11-30T03:52:13-05:00
            [end_at] => 2025-11-30T10:52:13-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06682600
            [high_after] => 0.06202400
            [low_before] => 0.06107000
            [low_after] => 0.05861300
            [is_new_high] => 
            [is_new_low] => 
        )

)