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Short Trade on AXS

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Short Trade on AXS 22 Sep 2025 at 18:03:21

Take profit at 2.1919 (0.55 %) and Stop Loss at 2.21 (0.27 %)

Short Trade on AXS

The 22 Sep 2025 at 18:03:21

With 1323.942 AXS at 2.204$ per unit.

Position size of 2917.9682 $

Take profit at 2.1919 (0.55 %) and Stop Loss at 2.21 (0.27 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 6.64
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.43
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 : 0.440947

15m : 0.204926

1H : -0.14296

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.004028373798
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 2.1967
  4. ema21 : 2.2276
  5. ema50 : 2.30346
  6. ema100 : 2.38131
  7. price_ema9_diff : 0.00332144
  8. ema9_ema21_diff : -0.0138739
  9. ema21_ema50_diff : -0.0329297
  10. price_ema100_diff : -0.0744607
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.156952
  14. ema_slope_21 : -0.26349
  15. ema_slope_50 : -0.236917
  16. ema_slope_100 : -0.173812
  17. rsi : 0.388904
  18. adx : 0.700156
  19. kc_percentage : 0.295828
  20. kc_width_percentage : 0.0456275
  21. volume_ema_diff : -0.72943
  22. volume_ema1 : 52597.964637569
  23. volume_ema2 : 194397.34778736
  24. chop : 73.5849
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.19524
  28. ema21 : 2.1911
  29. ema50 : 2.20281
  30. ema100 : 2.23845
  31. price_ema9_diff : 0.0039895
  32. ema9_ema21_diff : 0.00188799
  33. ema21_ema50_diff : -0.00531641
  34. price_ema100_diff : -0.0153914
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0341691
  38. ema_slope_21 : -0.00101193
  39. ema_slope_50 : -0.0333223
  40. ema_slope_100 : -0.0511132
  41. rsi : 0.590382
  42. adx : 0.26443
  43. kc_percentage : 0.911683
  44. kc_width_percentage : 0.0142078
  45. volume_ema_diff : -0.855696
  46. volume_ema1 : 5405.0899292632
  47. volume_ema2 : 37456.520704727
  48. chop : 38.056
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 2.20144
  52. ema21 : 2.19514
  53. ema50 : 2.18956
  54. ema100 : 2.18993
  55. price_ema9_diff : 0.0011624
  56. ema9_ema21_diff : 0.00286707
  57. ema21_ema50_diff : 0.00254764
  58. price_ema100_diff : 0.00642468
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0593304
  62. ema_slope_21 : 0.0532451
  63. ema_slope_50 : 0.027161
  64. ema_slope_100 : 0.0113326
  65. rsi : 0.648821
  66. adx : 0.411901
  67. kc_percentage : 1.06831
  68. kc_width_percentage : 0.00672099
  69. volume_ema_diff : -0.834863
  70. volume_ema1 : 923.70983695717
  71. volume_ema2 : 5593.6041561756
  72. chop : 48.2711
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112548
  77. 5m_price_ema100_diff: 
    0.00188668
  78. 5m_price: 
    112760
  79. 5m_correlation_with_coin: 
    0.440947
  80. btc_indicators
  81. 15m_ema100: 
    113239
  82. 15m_price_ema100_diff: 
    -0.00422849
  83. 15m_price: 
    112760
  84. 15m_correlation_with_coin: 
    0.204926
  85. btc_indicators
  86. 1H_ema100: 
    114944
  87. 1H_price_ema100_diff: 
    -0.018999
  88. 1H_price: 
    112760
  89. 1H_correlation_with_coin: 
    -0.14296
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
18:03:21		 22 Sep 2025
19:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.204 2.21 2.1919 2.02 1.341
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 2.204
  • Stop Loss: 2.21
  • Take Profit: 2.1919

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.21 - 2.204 = 0.0059999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.204 - 2.1919 = 0.0121

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0121 / 0.0059999999999998 = 2.0167

📌 Position Size

Amount Margin Quantity Leverage
2917.9682 100 1323.942 29.18
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 0.0059999999999998

Taille de position = 8 / 0.0059999999999998 = 1333.33

Taille de position USD = 1333.33 x 2.204 = 2938.66

Donc, tu peux acheter 1333.33 avec un stoploss a 2.21

Avec un position size USD de 2938.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1333.33 x 0.0059999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1333.33 x 0.0121 = 16.13

Si Take Profit atteint, tu gagneras 16.13$

Résumé

  • Taille de position 1333.33
  • Taille de position USD 2938.66
  • Perte potentielle 8
  • Gain potentiel 16.13
  • Risk-Reward Ratio 2.0167

📌 Peformances

TP % Target TP $ Target
0.55 % 16.02 $
SL % Target SL $ Target
0.27 % 7.94 $
PNL PNL %
-7.94 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2722 % 100 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.1919
            [entry_price] => 2.204
            [stop_loss] => 2.2106
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.1919
            [entry_price] => 2.204
            [stop_loss] => 2.2112
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.1919
            [entry_price] => 2.204
            [stop_loss] => 2.2118
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.1919
            [entry_price] => 2.204
            [stop_loss] => 2.213
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 21:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.0059999999999998
            [rr_ratio] => 1.33
            [high] => 2.21000000
            [low] => 2.19600000
            [mfe_pct] => 0.36
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 1.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T18:03:21-04:00
            [end_at] => 2025-09-22T20:03:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.063
            [max_drawdown] => 0.008
            [rr_ratio] => 7.88
            [high] => 2.21200000
            [low] => 2.14100000
            [mfe_pct] => 2.86
            [mae_pct] => 0.36
            [mfe_mae_ratio] => 7.88
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T18:03:21-04:00
            [end_at] => 2025-09-23T01:03:21-04:00
        )

    [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
        )

)