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Long Trade on AWE

Long Trade on AWE

The 16 Nov 2025 at 13:45:38

With 7999.4428 AWE at 0.06113$ per unit.

Position size of 488.9739 $

Take profit at 0.06313 (3.27 %) and Stop Loss at 0.06013 (1.64 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.58
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.9
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium_confirmed

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high
BTC Correlation Score

5m : -0.027355

15m : 0.135207

1H : -0.20001

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0006667131068
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 0.0624017
  4. ema21 - 0.0602696
  5. ema50 - 0.0580863
  6. ema100 - 0.0580503
  7. price_ema9_diff - -0.0204444
  8. ema9_ema21_diff - 0.0353756
  9. ema21_ema50_diff - 0.0375882
  10. price_ema100_diff - 0.0529824
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 1.21973
  14. ema_slope_21 - 0.896776
  15. ema_slope_50 - 0.45148
  16. ema_slope_100 - 0.192757
  17. rsi - 0.552582
  18. adx - 0.499793
  19. kc_percentage - 0.565395
  20. kc_width_percentage - 0.176155
  21. volume_ema_diff - 0.765624
  22. volume_ema1 - 606330.37426498
  23. volume_ema2 - 343408.53891469
  24. chop - 15.7914
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0624764
  28. ema21 - 0.0631665
  29. ema50 - 0.0619687
  30. ema100 - 0.0597153
  31. price_ema9_diff - -0.0216151
  32. ema9_ema21_diff - -0.0109253
  33. ema21_ema50_diff - 0.0193296
  34. price_ema100_diff - 0.0236225
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.341278
  38. ema_slope_21 - -0.119611
  39. ema_slope_50 - 0.082724
  40. ema_slope_100 - 0.12772
  41. rsi - 0.404431
  42. adx - 0.245801
  43. kc_percentage - 0.139057
  44. kc_width_percentage - 0.0921876
  45. volume_ema_diff - -0.626856
  46. volume_ema1 - 63229.908859487
  47. volume_ema2 - 169452.05398185
  48. chop - 54.3511
  49. regime - bull_high
    50. ¸
  50. 5m
  51. ema9 - 0.0619395
  52. ema21 - 0.0626085
  53. ema50 - 0.0633642
  54. ema100 - 0.0636539
  55. price_ema9_diff - -0.013134
  56. ema9_ema21_diff - -0.0106856
  57. ema21_ema50_diff - -0.0119259
  58. price_ema100_diff - -0.0397135
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.164633
  62. ema_slope_21 - -0.139561
  63. ema_slope_50 - -0.0911643
  64. ema_slope_100 - -0.0489299
  65. rsi - 0.314804
  66. adx - 0.263198
  67. kc_percentage - -0.0705422
  68. kc_width_percentage - 0.04124
  69. volume_ema_diff - -0.522488
  70. volume_ema1 - 23330.947454298
  71. volume_ema2 - 48859.440771075
  72. chop - 49.9874
  73. regime - bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 95103.6
  77. 5m_price_ema100_diff: -0.00973153
  78. 5m_price: 94178.1
  79. 5m_correlation_with_coin: -0.027355
  80. btc_indicators
  81. 15m_ema100: 95500.5
  82. 15m_price_ema100_diff: -0.0138475
  83. 15m_price: 94178.1
  84. 15m_correlation_with_coin: 0.135207
  85. btc_indicators
  86. 1H_ema100: 97398.1
  87. 1H_price_ema100_diff: -0.0330602
  88. 1H_price: 94178.1
  89. 1H_correlation_with_coin: -0.20001
    90. ¸

📌 Time Data

Start at Closed at Duration
16 Nov 2025
13:45:38		 16 Nov 2025
15:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06113 0.06013 0.06313 2 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 0.06113
  • Stop Loss: 0.06013
  • Take Profit: 0.06313

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06013 - 0.06113 = -0.00099999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06113 - 0.06313 = -0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.002 / -0.00099999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
488.9739 100 7999.4428 4.89
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 -0.00099999999999999

Taille de position = 8 / -0.00099999999999999 = -8000

Taille de position USD = -8000 x 0.06113 = -489.04

Donc, tu peux acheter -8000 avec un stoploss a 0.06013

Avec un position size USD de -489.04$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8000 x -0.00099999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8000 x -0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -8000
  • Taille de position USD -489.04
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.27 % 16 $
SL % Target SL $ Target
1.64 % 8 $
PNL PNL %
-8 $ -1.64
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.7356 % 106.09 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06313
            [entry_price] => 0.06113
            [stop_loss] => 0.06003
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-16 16:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06313
            [entry_price] => 0.06113
            [stop_loss] => 0.05993
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-16 16:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06313
            [entry_price] => 0.06113
            [stop_loss] => 0.05983
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-16 16:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06313
            [entry_price] => 0.06113
            [stop_loss] => 0.05963
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-16 16:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00048400000000001
            [max_drawdown] => 0.001061
            [rr_ratio] => 0.46
            [high] => 0.06161400
            [low] => 0.06006900
            [mfe_pct] => 0.79
            [mae_pct] => 1.74
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 24
            [start_at] => 2025-11-16T13:45:38-05:00
            [end_at] => 2025-11-16T15:45:38-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001487
            [max_drawdown] => 0.004128
            [rr_ratio] => 0.36
            [high] => 0.06261700
            [low] => 0.05700200
            [mfe_pct] => 2.43
            [mae_pct] => 6.75
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 84
            [start_at] => 2025-11-16T13:45:38-05:00
            [end_at] => 2025-11-16T20:45:38-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06908600
            [high_after] => 0.06261700
            [low_before] => 0.06075600
            [low_after] => 0.05766500
            [is_new_high] => 
            [is_new_low] => 
        )

)