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Short Trade on AXS

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Short Trade on AXS 22 Sep 2025 at 16:57:00

Take profit at 2.179 (0.77 %) and Stop Loss at 2.2045 (0.39 %)

Short Trade on AXS

The 22 Sep 2025 at 16:57:00

With 942.0864 AXS at 2.196$ per unit.

Position size of 2068.8217 $

Take profit at 2.179 (0.77 %) and Stop Loss at 2.2045 (0.39 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.53
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.51
Prediction 3 Probability
1 0.64
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.484913

15m : 0.003346

1H : -0.072005

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.005661193432
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 2.19304
  4. ema21 : 2.23275
  5. ema50 : 2.31183
  6. ema100 : 2.38861
  7. price_ema9_diff : 0.00134532
  8. ema9_ema21_diff : -0.0177846
  9. ema21_ema50_diff : -0.034205
  10. price_ema100_diff : -0.0806402
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.25687
  14. ema_slope_21 : -0.321469
  15. ema_slope_50 : -0.257363
  16. ema_slope_100 : -0.181313
  17. rsi : 0.365201
  18. adx : 0.715373
  19. kc_percentage : 0.20608
  20. kc_width_percentage : 0.0515655
  21. volume_ema_diff : -0.493848
  22. volume_ema1 : 106132.90317311
  23. volume_ema2 : 209686.18738436
  24. chop : 74.9787
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.17924
  28. ema21 : 2.18379
  29. ema50 : 2.20291
  30. ema100 : 2.24326
  31. price_ema9_diff : 0.00768672
  32. ema9_ema21_diff : -0.00208273
  33. ema21_ema50_diff : -0.00867912
  34. price_ema100_diff : -0.0210685
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0347187
  38. ema_slope_21 : -0.0408922
  39. ema_slope_50 : -0.0548126
  40. ema_slope_100 : -0.0637781
  41. rsi : 0.482046
  42. adx : 0.302773
  43. kc_percentage : 0.864188
  44. kc_width_percentage : 0.0158314
  45. volume_ema_diff : -0.614012
  46. volume_ema1 : 17000.636069415
  47. volume_ema2 : 44044.511984341
  48. chop : 54.4599
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 2.18479
  52. ema21 : 2.18032
  53. ema50 : 2.18234
  54. ema100 : 2.18776
  55. price_ema9_diff : 0.00512728
  56. ema9_ema21_diff : 0.00205153
  57. ema21_ema50_diff : -0.000925951
  58. price_ema100_diff : 0.00376188
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0604439
  62. ema_slope_21 : 0.0176073
  63. ema_slope_50 : -0.00381085
  64. ema_slope_100 : -0.00794496
  65. rsi : 0.650391
  66. adx : 0.33596
  67. kc_percentage : 1.16576
  68. kc_width_percentage : 0.0106515
  69. volume_ema_diff : -0.752019
  70. volume_ema1 : 2094.8671201795
  71. volume_ema2 : 8447.7060811676
  72. chop : 28.6659
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112507
  77. 5m_price_ema100_diff: 
    0.00258222
  78. 5m_price: 
    112797
  79. 5m_correlation_with_coin: 
    0.484913
  80. btc_indicators
  81. 15m_ema100: 
    113306
  82. 15m_price_ema100_diff: 
    -0.00635826
  83. 15m_price: 
    112586
  84. 15m_correlation_with_coin: 
    0.003346
  85. btc_indicators
  86. 1H_ema100: 
    115051
  87. 1H_price_ema100_diff: 
    -0.0195881
  88. 1H_price: 
    112797
  89. 1H_correlation_with_coin: 
    -0.072005
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:57:00		 22 Sep 2025
17:35:00		 38 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.196 2.2045 2.179 2 1.339
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 2.196
  • Stop Loss: 2.2045
  • Take Profit: 2.179

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2045 - 2.196 = 0.0084999999999997

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.196 - 2.179 = 0.017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.017 / 0.0084999999999997 = 2

📌 Position Size

Amount Margin Quantity Leverage
2068.8217 100 942.0864 20.69
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 0.0084999999999997

Taille de position = 8 / 0.0084999999999997 = 941.18

Taille de position USD = 941.18 x 2.196 = 2066.83

Donc, tu peux acheter 941.18 avec un stoploss a 2.2045

Avec un position size USD de 2066.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 941.18 x 0.0084999999999997 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 941.18 x 0.017 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 941.18
  • Taille de position USD 2066.83
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.77 % 16.02 $
SL % Target SL $ Target
0.39 % 8.01 $
PNL PNL %
-8.01 $ -0.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5464 % 141.15 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.179
            [entry_price] => 2.196
            [stop_loss] => 2.20535
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.179
            [entry_price] => 2.196
            [stop_loss] => 2.2062
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.179
            [entry_price] => 2.196
            [stop_loss] => 2.20705
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.179
            [entry_price] => 2.196
            [stop_loss] => 2.20875
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 19:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0070000000000001
            [max_drawdown] => 0.012
            [rr_ratio] => 0.58
            [high] => 2.20800000
            [low] => 2.18900000
            [mfe_pct] => 0.32
            [mae_pct] => 0.55
            [mfe_mae_ratio] => 0.58
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:57:00-04:00
            [end_at] => 2025-09-22T18:57:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.055
            [max_drawdown] => 0.016
            [rr_ratio] => 3.44
            [high] => 2.21200000
            [low] => 2.14100000
            [mfe_pct] => 2.5
            [mae_pct] => 0.73
            [mfe_mae_ratio] => 3.44
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:57:00-04:00
            [end_at] => 2025-09-22T23:57:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.19600000
            [high_after] => 2.21200000
            [low_before] => 2.16000000
            [low_after] => 2.15600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)