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Short Trade on AWE

Short Trade on AWE

The 03 Oct 2025 at 23:33:12

With 9314.107 AWE at 0.09873$ per unit.

Position size of 919.5725 $

Take profit at 0.09701 (1.74 %) and Stop Loss at 0.09959 (0.87 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.02
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.68
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.175368

15m : 0.052154

1H : -0.043759

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0005726081239
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 0.0993776
  4. ema21 - 0.099863
  5. ema50 - 0.103292
  6. ema100 - 0.108131
  7. price_ema9_diff - -0.00652733
  8. ema9_ema21_diff - -0.00485998
  9. ema21_ema50_diff - -0.033204
  10. price_ema100_diff - -0.0869574
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - 0.193631
  14. ema_slope_21 - 0.0408321
  15. ema_slope_50 - -0.146095
  16. ema_slope_100 - -0.159186
  17. rsi - 0.45512
  18. adx - 0.211875
  19. kc_percentage - 0.381266
  20. kc_width_percentage - 0.0908532
  21. volume_ema_diff - -0.266292
  22. volume_ema1 - 211627.47454497
  23. volume_ema2 - 288435.86686481
  24. chop - 48.078
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0977412
  28. ema21 - 0.0988136
  29. ema50 - 0.0992926
  30. ema100 - 0.0986222
  31. price_ema9_diff - 0.0101062
  32. ema9_ema21_diff - -0.0108533
  33. ema21_ema50_diff - -0.00482393
  34. price_ema100_diff - 0.00108229
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.294142
  38. ema_slope_21 - -0.214038
  39. ema_slope_50 - -0.0815871
  40. ema_slope_100 - -0.0200812
  41. rsi - 0.476275
  42. adx - 0.325112
  43. kc_percentage - 0.495132
  44. kc_width_percentage - 0.0418054
  45. volume_ema_diff - 0.0963356
  46. volume_ema1 - 56197.566929919
  47. volume_ema2 - 51259.453537033
  48. chop - 29.6481
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0970361
  52. ema21 - 0.0972799
  53. ema50 - 0.0985665
  54. ema100 - 0.0998435
  55. price_ema9_diff - 0.017446
  56. ema9_ema21_diff - -0.00250613
  57. ema21_ema50_diff - -0.0130533
  58. price_ema100_diff - -0.0111627
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - -0.0447445
  62. ema_slope_21 - -0.0976634
  63. ema_slope_50 - -0.0993135
  64. ema_slope_100 - -0.0727509
  65. rsi - 0.615238
  66. adx - 0.449394
  67. kc_percentage - 1.10133
  68. kc_width_percentage - 0.0251297
  69. volume_ema_diff - 0.160846
  70. volume_ema1 - 25313.840744186
  71. volume_ema2 - 21806.359254726
  72. chop - 27.8201
  73. regime - range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 122130
  77. 5m_price_ema100_diff: -0.000877969
  78. 5m_price: 122023
  79. 5m_correlation_with_coin: 0.175368
  80. btc_indicators
  81. 15m_ema100: 121461
  82. 15m_price_ema100_diff: 0.00462749
  83. 15m_price: 122023
  84. 15m_correlation_with_coin: 0.052154
  85. btc_indicators
  86. 1H_ema100: 118632
  87. 1H_price_ema100_diff: 0.0285815
  88. 1H_price: 122023
  89. 1H_correlation_with_coin: -0.043759
    90. ¸

📌 Time Data

Start at Closed at Duration
03 Oct 2025
23:33:12		 03 Oct 2025
23:35:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09873 0.09959 0.09701 2 0.05611
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 0.09873
  • Stop Loss: 0.09959
  • Take Profit: 0.09701

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09959 - 0.09873 = 0.00086

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09873 - 0.09701 = 0.00172

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00172 / 0.00086 = 2

📌 Position Size

Amount Margin Quantity Leverage
919.5725 100 9314.107 9.20
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 0.00086

Taille de position = 8 / 0.00086 = 9302.33

Taille de position USD = 9302.33 x 0.09873 = 918.42

Donc, tu peux acheter 9302.33 avec un stoploss a 0.09959

Avec un position size USD de 918.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 9302.33 x 0.00086 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 9302.33 x 0.00172 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 9302.33
  • Taille de position USD 918.42
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.74 % 16.02 $
SL % Target SL $ Target
0.87 % 8.01 $
PNL PNL %
-8.01 $ -0.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8913 % 102.32 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09701
            [entry_price] => 0.09873
            [stop_loss] => 0.099676
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-03 23:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09701
            [entry_price] => 0.09873
            [stop_loss] => 0.099762
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-03 23:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.09701
            [entry_price] => 0.09873
            [stop_loss] => 0.099848
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-03 23:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.09701
            [entry_price] => 0.09873
            [stop_loss] => 0.10002
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-03 23:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -6.3000000000007E-5
            [max_drawdown] => 0.00286
            [rr_ratio] => -0.02
            [high] => 0.10159000
            [low] => 0.09879300
            [mfe_pct] => -0.06
            [mae_pct] => 2.9
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 24
            [start_at] => 2025-10-03T23:33:12-04:00
            [end_at] => 2025-10-04T01:33:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -6.3000000000007E-5
            [max_drawdown] => 0.010656
            [rr_ratio] => -0.01
            [high] => 0.10938600
            [low] => 0.09879300
            [mfe_pct] => -0.06
            [mae_pct] => 10.79
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 84
            [start_at] => 2025-10-03T23:33:12-04:00
            [end_at] => 2025-10-04T06:33:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10347900
            [high_after] => 0.10625000
            [low_before] => 0.09567000
            [low_after] => 0.09879300
            [is_new_high] => 
            [is_new_low] => 
        )

)