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Short Trade on AWE

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Short Trade on AWE 26 Sep 2025 at 13:34:38

Take profit at 0.09642 (1.75 %) and Stop Loss at 0.099 (0.88 %)

Short Trade on AWE

The 26 Sep 2025 at 13:34:38

With 9295.6255 AWE at 0.09814$ per unit.

Position size of 912.2634 $

Take profit at 0.09642 (1.75 %) and Stop Loss at 0.099 (0.88 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 1.6
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.49
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.228045

15m : -0.040884

1H : -0.023858

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0005737465797
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.0969725
  4. ema21 : 0.098155
  5. ema50 : 0.0983881
  6. ema100 : 0.0955431
  7. price_ema9_diff : 0.0120287
  8. ema9_ema21_diff : -0.0120469
  9. ema21_ema50_diff : -0.00236925
  10. price_ema100_diff : 0.0271696
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.276003
  14. ema_slope_21 : -0.21598
  15. ema_slope_50 : -0.0662541
  16. ema_slope_100 : 0.0390007
  17. rsi : 0.494076
  18. adx : 0.22148
  19. kc_percentage : 0.504425
  20. kc_width_percentage : 0.159978
  21. volume_ema_diff : -0.642316
  22. volume_ema1 : 584070.16283063
  23. volume_ema2 : 1632925.8817234
  24. chop : 73.4015
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.0968788
  28. ema21 : 0.0964722
  29. ema50 : 0.0970158
  30. ema100 : 0.096826
  31. price_ema9_diff : 0.0130073
  32. ema9_ema21_diff : 0.00421435
  33. ema21_ema50_diff : -0.00560256
  34. price_ema100_diff : 0.0135602
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.18325
  38. ema_slope_21 : 0.0425705
  39. ema_slope_50 : -0.0259585
  40. ema_slope_100 : -0.00865433
  41. rsi : 0.584205
  42. adx : 0.149536
  43. kc_percentage : 0.874165
  44. kc_width_percentage : 0.0454855
  45. volume_ema_diff : -0.76695
  46. volume_ema1 : 64347.361130449
  47. volume_ema2 : 276110.53835927
  48. chop : 52.3275
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.0970951
  52. ema21 : 0.0967388
  53. ema50 : 0.0963159
  54. ema100 : 0.0965213
  55. price_ema9_diff : 0.0107504
  56. ema9_ema21_diff : 0.00368304
  57. ema21_ema50_diff : 0.00439117
  58. price_ema100_diff : 0.0167589
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.00531557
  62. ema_slope_21 : 0.0320581
  63. ema_slope_50 : 0.0281557
  64. ema_slope_100 : 0.00699337
  65. rsi : 0.686974
  66. adx : 0.350888
  67. kc_percentage : 1.11059
  68. kc_width_percentage : 0.022912
  69. volume_ema_diff : -0.500944
  70. volume_ema1 : 24571.180653811
  71. volume_ema2 : 49235.379746069
  72. chop : 52.7167
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109286
  77. 5m_price_ema100_diff: 
    0.00538631
  78. 5m_price: 
    109875
  79. 5m_correlation_with_coin: 
    0.228045
  80. btc_indicators
  81. 15m_ema100: 
    109517
  82. 15m_price_ema100_diff: 
    0.00326184
  83. 15m_price: 
    109875
  84. 15m_correlation_with_coin: 
    -0.040884
  85. btc_indicators
  86. 1H_ema100: 
    111227
  87. 1H_price_ema100_diff: 
    -0.0121607
  88. 1H_price: 
    109875
  89. 1H_correlation_with_coin: 
    -0.023858
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-23 04:00:00
                    [1] => 0.089075
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-23 11:00:00
                    [1] => 0.084613
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-23 22:00:00
                    [1] => 0.091842
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-24 21:00:00
                    [1] => 0.121317
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-25 06:00:00
                    [1] => 0.119602
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-25 14:00:00
                    [1] => 0.090474
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-25 20:00:00
                    [1] => 0.090763
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-25 23:00:00
                    [1] => 0.11916
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-26 10:00:00
                    [1] => 0.093072
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-26 13:00:00
                    [1] => 0.098247
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.13028387635246
            [ms_dist_from_last_low_pct] => 5.4226835138387
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 5.5602114492006
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-25 20:00:00
                    [1] => 0.090763
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-25 23:00:00
                    [1] => 0.11916
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-26 00:45:00
                    [1] => 0.094523
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-26 02:45:00
                    [1] => 0.10349
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-26 05:30:00
                    [1] => 0.10125
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-26 08:30:00
                    [1] => 0.097628
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-26 10:30:00
                    [1] => 0.093072
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-26 12:00:00
                    [1] => 0.09816
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-26 13:15:00
                    [1] => 0.096199
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-26 13:30:00
                    [1] => 0.098247
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.13028387635246
            [ms_dist_from_last_low_pct] => 1.9958627428559
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 2.1289202590463
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-26 07:35:00
                    [1] => 0.09719
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-26 08:25:00
                    [1] => 0.094817
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-26 08:35:00
                    [1] => 0.097628
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-26 09:15:00
                    [1] => 0.093837
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-26 09:35:00
                    [1] => 0.095554
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-26 10:30:00
                    [1] => 0.093072
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-26 12:00:00
                    [1] => 0.09816
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-26 12:35:00
                    [1] => 0.097742
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-26 13:15:00
                    [1] => 0.096199
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-26 13:30:00
                    [1] => 0.098247
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.13028387635246
            [ms_dist_from_last_low_pct] => 1.9958627428559
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 2.1289202590463
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.13%
Dist From Last Low Pct
2.00%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
2.13%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0
DateTime Price Type
2025-09-26 07:35:00 0.09719 ↑ High
2025-09-26 08:25:00 0.094817 ↓ Low
2025-09-26 08:35:00 0.097628 ↑ High
2025-09-26 09:15:00 0.093837 ↓ Low
2025-09-26 09:35:00 0.095554 ↑ High
2025-09-26 10:30:00 0.093072 ↓ Low
2025-09-26 12:00:00 0.09816 ↑ High
2025-09-26 12:35:00 0.097742 ↑ High
2025-09-26 13:15:00 0.096199 ↓ Low
2025-09-26 13:30:00 0.098247 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.13%
Dist From Last Low Pct
2.00%
Bars Since Swing High
0 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
2.13%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-25 20:00:00 0.090763 ↓ Low
2025-09-25 23:00:00 0.11916 ↑ High
2025-09-26 00:45:00 0.094523 ↓ Low
2025-09-26 02:45:00 0.10349 ↑ High
2025-09-26 05:30:00 0.10125 ↑ High
2025-09-26 08:30:00 0.097628 ↑ High
2025-09-26 10:30:00 0.093072 ↓ Low
2025-09-26 12:00:00 0.09816 ↑ High
2025-09-26 13:15:00 0.096199 ↓ Low
2025-09-26 13:30:00 0.098247 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.13%
Dist From Last Low Pct
5.42%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
5.56%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-23 04:00:00 0.089075 ↑ High
2025-09-23 11:00:00 0.084613 ↓ Low
2025-09-23 22:00:00 0.091842 ↑ High
2025-09-24 21:00:00 0.121317 ↑ High
2025-09-25 06:00:00 0.119602 ↑ High
2025-09-25 14:00:00 0.090474 ↓ Low
2025-09-25 20:00:00 0.090763 ↓ Low
2025-09-25 23:00:00 0.11916 ↑ High
2025-09-26 10:00:00 0.093072 ↓ Low
2025-09-26 13:00:00 0.098247 ↑ High

📌 Time Data

Start at Closed at Duration
26 Sep 2025
13:34:38		 26 Sep 2025
13:40:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09814 0.099 0.09642 2 0.05077
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 0.09814
  • Stop Loss: 0.099
  • Take Profit: 0.09642

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.099 - 0.09814 = 0.00086

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09814 - 0.09642 = 0.00172

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00172 / 0.00086 = 2

📌 Position Size

Amount Margin Quantity Leverage
912.2634 100 9295.6255 9.12
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 0.09814 = 912.93

Donc, tu peux acheter 9302.33 avec un stoploss a 0.099

Avec un position size USD de 912.93$

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 912.93
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.75 % 15.99 $
SL % Target SL $ Target
0.88 % 7.99 $
PNL PNL %
-7.99 $ -0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.019 % 116.28 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09642
            [entry_price] => 0.09814
            [stop_loss] => 0.099086
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-26 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09642
            [entry_price] => 0.09814
            [stop_loss] => 0.099172
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-26 15:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.09642
            [entry_price] => 0.09814
            [stop_loss] => 0.099258
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-26 15:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.09642
            [entry_price] => 0.09814
            [stop_loss] => 0.09943
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-26 15:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001865
            [max_drawdown] => 0.001
            [rr_ratio] => 1.87
            [high] => 0.09914000
            [low] => 0.09627500
            [mfe_pct] => 1.9
            [mae_pct] => 1.02
            [mfe_mae_ratio] => 1.87
            [candles_analyzed] => 24
            [start_at] => 2025-09-26T13:34:38-04:00
            [end_at] => 2025-09-26T15:34:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.002182
            [max_drawdown] => 0.012783
            [rr_ratio] => 0.17
            [high] => 0.11092300
            [low] => 0.09595800
            [mfe_pct] => 2.22
            [mae_pct] => 13.03
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 84
            [start_at] => 2025-09-26T13:34:38-04:00
            [end_at] => 2025-09-26T20:34:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09824700
            [high_after] => 0.10127200
            [low_before] => 0.09307200
            [low_after] => 0.09595800
            [is_new_high] => 
            [is_new_low] => 
        )

)