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Short Trade on AXS

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Short Trade on AXS 22 Sep 2025 at 17:47:19

Take profit at 2.1899 (0.59 %) and Stop Loss at 2.2095 (0.3 %)

Short Trade on AXS

The 22 Sep 2025 at 17:47:19

With 1223.3218 AXS at 2.203$ per unit.

Position size of 2694.9778 $

Take profit at 2.1899 (0.59 %) and Stop Loss at 2.2095 (0.3 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 6.18
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.44
Prediction 3 Probability
1 0.71
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.476895

15m : 0.173055

1H : -0.047531

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.004359714258
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 2.19487
  4. ema21 : 2.22997
  5. ema50 : 2.30771
  6. ema100 : 2.38627
  7. price_ema9_diff : 0.00369965
  8. ema9_ema21_diff : -0.0157362
  9. ema21_ema50_diff : -0.0336874
  10. price_ema100_diff : -0.0768046
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.192713
  14. ema_slope_21 : -0.287591
  15. ema_slope_50 : -0.245844
  16. ema_slope_100 : -0.177938
  17. rsi : 0.38586
  18. adx : 0.708227
  19. kc_percentage : 0.283644
  20. kc_width_percentage : 0.0497113
  21. volume_ema_diff : -0.614746
  22. volume_ema1 : 78210.321712214
  23. volume_ema2 : 203010.1041842
  24. chop : 74.3506
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.19305
  28. ema21 : 2.18981
  29. ema50 : 2.20295
  30. ema100 : 2.24052
  31. price_ema9_diff : 0.00453587
  32. ema9_ema21_diff : 0.00147774
  33. ema21_ema50_diff : -0.0059656
  34. price_ema100_diff : -0.0167503
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0188728
  38. ema_slope_21 : -0.0106205
  39. ema_slope_50 : -0.0389407
  40. ema_slope_100 : -0.0553207
  41. rsi : 0.584595
  42. adx : 0.264899
  43. kc_percentage : 0.911799
  44. kc_width_percentage : 0.0146032
  45. volume_ema_diff : -0.806348
  46. volume_ema1 : 7421.0096497548
  47. volume_ema2 : 38321.548236169
  48. chop : 38.4937
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 2.19976
  52. ema21 : 2.19251
  53. ema50 : 2.18806
  54. ema100 : 2.19065
  55. price_ema9_diff : 0.00147083
  56. ema9_ema21_diff : 0.00330465
  57. ema21_ema50_diff : 0.00203555
  58. price_ema100_diff : 0.00563588
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0765294
  62. ema_slope_21 : 0.0573494
  63. ema_slope_50 : 0.0249194
  64. ema_slope_100 : 0.00792516
  65. rsi : 0.645085
  66. adx : 0.394817
  67. kc_percentage : 1.11699
  68. kc_width_percentage : 0.0073932
  69. volume_ema_diff : -0.716483
  70. volume_ema1 : 1777.0506040721
  71. volume_ema2 : 6267.8993613782
  72. chop : 41.8145
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112575
  77. 5m_price_ema100_diff: 
    0.00251944
  78. 5m_price: 
    112859
  79. 5m_correlation_with_coin: 
    0.476895
  80. btc_indicators
  81. 15m_ema100: 
    113256
  82. 15m_price_ema100_diff: 
    -0.0035083
  83. 15m_price: 
    112859
  84. 15m_correlation_with_coin: 
    0.173055
  85. btc_indicators
  86. 1H_ema100: 
    115036
  87. 1H_price_ema100_diff: 
    -0.0189236
  88. 1H_price: 
    112859
  89. 1H_correlation_with_coin: 
    -0.047531
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:47:19		 22 Sep 2025
19:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.203 2.2095 2.1899 2.02 1.384
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 2.203
  • Stop Loss: 2.2095
  • Take Profit: 2.1899

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2095 - 2.203 = 0.0065

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.203 - 2.1899 = 0.0131

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0131 / 0.0065 = 2.0154

📌 Position Size

Amount Margin Quantity Leverage
2694.9778 100 1223.3218 26.95
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 0.0065

Taille de position = 8 / 0.0065 = 1230.77

Taille de position USD = 1230.77 x 2.203 = 2711.39

Donc, tu peux acheter 1230.77 avec un stoploss a 2.2095

Avec un position size USD de 2711.39$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1230.77 x 0.0065 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1230.77 x 0.0131 = 16.12

Si Take Profit atteint, tu gagneras 16.12$

Résumé

  • Taille de position 1230.77
  • Taille de position USD 2711.39
  • Perte potentielle 8
  • Gain potentiel 16.12
  • Risk-Reward Ratio 2.0154

📌 Peformances

TP % Target TP $ Target
0.59 % 16.03 $
SL % Target SL $ Target
0.3 % 7.95 $
PNL PNL %
-7.95 $ -0.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3177 % 107.66 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.1899
            [entry_price] => 2.203
            [stop_loss] => 2.21015
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.1899
            [entry_price] => 2.203
            [stop_loss] => 2.2108
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.1899
            [entry_price] => 2.203
            [stop_loss] => 2.21145
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.1899
            [entry_price] => 2.203
            [stop_loss] => 2.21275
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 21:05:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0069999999999997
            [max_drawdown] => 0.0070000000000001
            [rr_ratio] => 1
            [high] => 2.21000000
            [low] => 2.19600000
            [mfe_pct] => 0.32
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:47:19-04:00
            [end_at] => 2025-09-22T19:47:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.062
            [max_drawdown] => 0.0090000000000003
            [rr_ratio] => 6.89
            [high] => 2.21200000
            [low] => 2.14100000
            [mfe_pct] => 2.81
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 6.89
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:47:19-04:00
            [end_at] => 2025-09-23T00:47:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.20800000
            [high_after] => 2.21200000
            [low_before] => 2.16000000
            [low_after] => 2.14100000
            [is_new_high] => 
            [is_new_low] => 1
        )

)