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Short Trade on AXS

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Short Trade on AXS 25 Sep 2025 at 18:18:55

Take profit at 2.0704 (0.99 %) and Stop Loss at 2.1013 (0.49 %)

Short Trade on AXS

The 25 Sep 2025 at 18:18:55

With 775.6591 AXS at 2.091$ per unit.

Position size of 1621.9031 $

Take profit at 2.0704 (0.99 %) and Stop Loss at 2.1013 (0.49 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 90
ML Pullback Score: 10
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.6
Prediction 3 Probability
0 0.86
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low
BTC Correlation Score

5m : 0.677781

15m : 0.032438

1H : 0.077743

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.006875873218
Details
  1. score: 1
  2. 1H
  3. ema9 : 2.09102
  4. ema21 : 2.11722
  5. ema50 : 2.16028
  6. ema100 : 2.20915
  7. price_ema9_diff : -9.96806E-6
  8. ema9_ema21_diff : -0.012375
  9. ema21_ema50_diff : -0.0199361
  10. price_ema100_diff : -0.0534828
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.194856
  14. ema_slope_21 : -0.202971
  15. ema_slope_50 : -0.151131
  16. ema_slope_100 : -0.113488
  17. rsi : 0.415696
  18. adx : 0.463439
  19. kc_percentage : 0.319014
  20. kc_width_percentage : 0.0638655
  21. volume_ema_diff : -0.163063
  22. volume_ema1 : 127121.05562371
  23. volume_ema2 : 151888.51373889
  24. chop : 40.2041
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.08067
  28. ema21 : 2.08349
  29. ema50 : 2.10088
  30. ema100 : 2.12743
  31. price_ema9_diff : 0.00496287
  32. ema9_ema21_diff : -0.00135509
  33. ema21_ema50_diff : -0.00827612
  34. price_ema100_diff : -0.017124
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0118673
  38. ema_slope_21 : -0.0377554
  39. ema_slope_50 : -0.0535644
  40. ema_slope_100 : -0.0513419
  41. rsi : 0.517907
  42. adx : 0.17393
  43. kc_percentage : 0.634559
  44. kc_width_percentage : 0.0284053
  45. volume_ema_diff : -0.843357
  46. volume_ema1 : 8448.5435812093
  47. volume_ema2 : 53935.197478847
  48. chop : 58.2188
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 2.08067
  52. ema21 : 2.0774
  53. ema50 : 2.08046
  54. ema100 : 2.09084
  55. price_ema9_diff : 0.00496111
  56. ema9_ema21_diff : 0.00157351
  57. ema21_ema50_diff : -0.00147006
  58. price_ema100_diff : 7.57467E-5
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.02655
  62. ema_slope_21 : 0.00260927
  63. ema_slope_50 : -0.0107103
  64. ema_slope_100 : -0.0164939
  65. rsi : 0.61213
  66. adx : 0.158189
  67. kc_percentage : 1.00231
  68. kc_width_percentage : 0.0128906
  69. volume_ema_diff : -0.647736
  70. volume_ema1 : 3981.1001626453
  71. volume_ema2 : 11301.492893152
  72. chop : 39.7428
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109877
  77. 5m_price_ema100_diff: 
    -0.00354116
  78. 5m_price: 
    109488
  79. 5m_correlation_with_coin: 
    0.677781
  80. btc_indicators
  81. 15m_ema100: 
    111108
  82. 15m_price_ema100_diff: 
    -0.0145843
  83. 15m_price: 
    109488
  84. 15m_correlation_with_coin: 
    0.032438
  85. btc_indicators
  86. 1H_ema100: 
    112512
  87. 1H_price_ema100_diff: 
    -0.0268845
  88. 1H_price: 
    109488
  89. 1H_correlation_with_coin: 
    0.077743
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
18:18:55		 25 Sep 2025
18:45:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.091 2.1013 2.0704 2 1.318
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 2.091
  • Stop Loss: 2.1013
  • Take Profit: 2.0704

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1013 - 2.091 = 0.0103

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.091 - 2.0704 = 0.0206

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0206 / 0.0103 = 2

📌 Position Size

Amount Margin Quantity Leverage
1621.9031 100 775.6591 16.22
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 0.0103

Taille de position = 8 / 0.0103 = 776.7

Taille de position USD = 776.7 x 2.091 = 1624.08

Donc, tu peux acheter 776.7 avec un stoploss a 2.1013

Avec un position size USD de 1624.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 776.7 x 0.0103 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 776.7 x 0.0206 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 776.7
  • Taille de position USD 1624.08
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.99 % 15.98 $
SL % Target SL $ Target
0.49 % 7.99 $
PNL PNL %
15.98 $ 0.99
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.0704
            [stop_loss] => 2.1013
            [rr_ratio] => 2
            [closed_at] => 2025-09-25 18:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.06525
            [stop_loss] => 2.1013
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-25 18:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.0601
            [stop_loss] => 2.1013
            [rr_ratio] => 3
            [closed_at] => 2025-09-25 19:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.05495
            [stop_loss] => 2.1013
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-25 19:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.0498
            [stop_loss] => 2.1013
            [rr_ratio] => 4
            [closed_at] => 2025-09-25 19:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.04465
            [stop_loss] => 2.1013
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-25 19:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.09100000
            [low] => 2.04400000
            [mfe_pct] => 2.25
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T18:18:55-04:00
            [end_at] => 2025-09-25T20:18:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 0.0029999999999997
            [rr_ratio] => 15.67
            [high] => 2.09400000
            [low] => 2.04400000
            [mfe_pct] => 2.25
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 15.67
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T18:18:55-04:00
            [end_at] => 2025-09-26T01:18:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.10900000
            [high_after] => 2.09400000
            [low_before] => 2.05200000
            [low_after] => 2.04400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)