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Short Trade on AXS

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Short Trade on AXS 15 Sep 2025 at 15:06:31

Take profit at 2.4017 (0.55 %) and Stop Loss at 2.4216 (0.27 %)

Short Trade on AXS

The 15 Sep 2025 at 15:06:31

With 1203.3162 AXS at 2.415$ per unit.

Position size of 2906.0087 $

Take profit at 2.4017 (0.55 %) and Stop Loss at 2.4216 (0.27 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.64
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.98
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.89
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.652416

15m : 0.166921

1H : 0.093575

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.00443219596
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 2.42667
  4. ema21 : 2.46636
  5. ema50 : 2.52146
  6. ema100 : 2.54569
  7. price_ema9_diff : -0.00481129
  8. ema9_ema21_diff : -0.0160934
  9. ema21_ema50_diff : -0.0218513
  10. price_ema100_diff : -0.0513408
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.381298
  14. ema_slope_21 : -0.296744
  15. ema_slope_50 : -0.188192
  16. ema_slope_100 : -0.103117
  17. rsi : 0.342309
  18. adx : 0.496349
  19. kc_percentage : 0.0512341
  20. kc_width_percentage : 0.0446959
  21. volume_ema_diff : -0.390991
  22. volume_ema1 : 89702.106498474
  23. volume_ema2 : 147292.08202704
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 2.40819
  27. ema21 : 2.41425
  28. ema50 : 2.44248
  29. ema100 : 2.47527
  30. price_ema9_diff : 0.00282767
  31. ema9_ema21_diff : -0.00251134
  32. ema21_ema50_diff : -0.0115605
  33. price_ema100_diff : -0.0243501
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0402893
  37. ema_slope_21 : -0.0691666
  38. ema_slope_50 : -0.0807811
  39. ema_slope_100 : -0.0652163
  40. rsi : 0.474916
  41. adx : 0.466785
  42. kc_percentage : 0.53264
  43. kc_width_percentage : 0.0200527
  44. volume_ema_diff : -0.819866
  45. volume_ema1 : 7270.3967741145
  46. volume_ema2 : 40361.101411538
  47. regime : bear_medium
    48. ¸
  48. 5m
  49. ema9 : 2.4104
  50. ema21 : 2.40665
  51. ema50 : 2.40928
  52. ema100 : 2.41923
  53. price_ema9_diff : 0.00190838
  54. ema9_ema21_diff : 0.00155673
  55. ema21_ema50_diff : -0.00109184
  56. price_ema100_diff : -0.00175142
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0309401
  60. ema_slope_21 : 0.0183632
  61. ema_slope_50 : -0.00233321
  62. ema_slope_100 : -0.0106317
  63. rsi : 0.611839
  64. adx : 0.171544
  65. kc_percentage : 1.05239
  66. kc_width_percentage : 0.00615146
  67. volume_ema_diff : -0.903573
  68. volume_ema1 : 817.29706422431
  69. volume_ema2 : 8475.8887209521
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114826
  74. 5m_price_ema100_diff: 
    0.00523445
  75. 5m_price: 
    115427
  76. 5m_correlation_with_coin: 
    0.652416
  77. btc_indicators
  78. 15m_ema100: 
    115158
  79. 15m_price_ema100_diff: 
    0.00233533
  80. 15m_price: 
    115427
  81. 15m_correlation_with_coin: 
    0.166921
  82. btc_indicators
  83. 1H_ema100: 
    115305
  84. 1H_price_ema100_diff: 
    0.00106357
  85. 1H_price: 
    115427
  86. 1H_correlation_with_coin: 
    0.093575
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
15:06:31		 15 Sep 2025
15:45:00		 38 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.415 2.4216 2.4017 2.02 1.348
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 2.415
  • Stop Loss: 2.4216
  • Take Profit: 2.4017

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.4216 - 2.415 = 0.0066000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.415 - 2.4017 = 0.0133

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0133 / 0.0066000000000002 = 2.0152

📌 Position Size

Amount Margin Quantity Leverage
2906.0087 100 1203.3162 29.06
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 0.0066000000000002

Taille de position = 8 / 0.0066000000000002 = 1212.12

Taille de position USD = 1212.12 x 2.415 = 2927.27

Donc, tu peux acheter 1212.12 avec un stoploss a 2.4216

Avec un position size USD de 2927.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1212.12 x 0.0066000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1212.12 x 0.0133 = 16.12

Si Take Profit atteint, tu gagneras 16.12$

Résumé

  • Taille de position 1212.12
  • Taille de position USD 2927.27
  • Perte potentielle 8
  • Gain potentiel 16.12
  • Risk-Reward Ratio 2.0152

📌 Peformances

TP % Target TP $ Target
0.55 % 16 $
SL % Target SL $ Target
0.27 % 7.94 $
PNL PNL %
-7.94 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2899 % 106.07 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.4017
            [entry_price] => 2.415
            [stop_loss] => 2.42226
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.4017
            [entry_price] => 2.415
            [stop_loss] => 2.42292
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.4017
            [entry_price] => 2.415
            [stop_loss] => 2.42358
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 16:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.4017
            [entry_price] => 2.415
            [stop_loss] => 2.4249
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 16:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.0099999999999998
            [rr_ratio] => 0.8
            [high] => 2.42500000
            [low] => 2.40700000
            [mfe_pct] => 0.33
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 0.8
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T15:06:31-04:00
            [end_at] => 2025-09-15T17:06:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02
            [max_drawdown] => 0.012
            [rr_ratio] => 1.67
            [high] => 2.42700000
            [low] => 2.39500000
            [mfe_pct] => 0.83
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 1.67
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T15:06:31-04:00
            [end_at] => 2025-09-15T22:06:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.42600000
            [high_after] => 2.42700000
            [low_before] => 2.38300000
            [low_after] => 2.40700000
            [is_new_high] => 
            [is_new_low] => 
        )

)