Short Trade on AXL 22 Sep 2025 at 09:59:50

Take profit at 0.2924 (1.18 %) and Stop Loss at 0.2977 (0.61 %)

Short Trade on AXL

The 22 Sep 2025 at 09:59:50

With 4557.1063 AXL at 0.2959$ per unit.

Position size of 1348.4478 $

Take profit at 0.2924 (1.18 %) and Stop Loss at 0.2977 (0.61 %)

That's a 1.94 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 2.67
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.57
Prediction 3 Probability
0 0.96
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.832453

15m : -0.046938

1H : -0.028276

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.001170333315
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.296134
  4. ema21 : 0.304841
  5. ema50 : 0.315789
  6. ema100 : 0.322606
  7. price_ema9_diff : -0.000790479
  8. ema9_ema21_diff : -0.0285644
  9. ema21_ema50_diff : -0.0346685
  10. price_ema100_diff : -0.0827847
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.641969
  14. ema_slope_21 : -0.504743
  15. ema_slope_50 : -0.301988
  16. ema_slope_100 : -0.176506
  17. rsi : 0.320999
  18. adx : 0.628289
  19. kc_percentage : 0.103384
  20. kc_width_percentage : 0.0709374
  21. volume_ema_diff : -0.0987932
  22. volume_ema1 : 212033.58051742
  23. volume_ema2 : 235277.40876989
  24. chop : 14.0862
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.292797
  29. ema21 : 0.293279
  30. ema50 : 0.2988
  31. ema100 : 0.30682
  32. price_ema9_diff : 0.0105961
  33. ema9_ema21_diff : -0.00164398
  34. ema21_ema50_diff : -0.0184773
  35. price_ema100_diff : -0.0355931
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0210685
  39. ema_slope_21 : -0.0383199
  40. ema_slope_50 : -0.10605
  41. ema_slope_100 : -0.104072
  42. rsi : 0.453865
  43. adx : 0.520836
  44. kc_percentage : 0.860061
  45. kc_width_percentage : 0.0256793
  46. volume_ema_diff : -0.785807
  47. volume_ema1 : 17571.594956855
  48. volume_ema2 : 82036.377289616
  49. chop : 73.8086
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.293859
  54. ema21 : 0.293164
  55. ema50 : 0.29283
  56. ema100 : 0.294101
  57. price_ema9_diff : 0.00694457
  58. ema9_ema21_diff : 0.00236963
  59. ema21_ema50_diff : 0.00114096
  60. price_ema100_diff : 0.00611524
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0585101
  64. ema_slope_21 : 0.0391707
  65. ema_slope_50 : 0.0159585
  66. ema_slope_100 : -0.00294371
  67. rsi : 0.670259
  68. adx : 0.220759
  69. kc_percentage : 1.05407
  70. kc_width_percentage : 0.0164425
  71. volume_ema_diff : -0.674982
  72. volume_ema1 : 4492.5024622189
  73. volume_ema2 : 13822.35838024
  74. chop : 48.2316
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112877
  80. 5m_price_ema100_diff:
    0.00159855
  81. 5m_price:
    113057
  82. 5m_correlation_with_coin:
    0.832453
  83. btc_indicators
  84. 15m_ema100:
    113921
  85. 15m_price_ema100_diff:
    -0.0131609
  86. 15m_price:
    112422
  87. 15m_correlation_with_coin:
    -0.046938
  88. btc_indicators
  89. 1H_ema100:
    115370
  90. 1H_price_ema100_diff:
    -0.0200455
  91. 1H_price:
    113057
  92. 1H_correlation_with_coin:
    -0.028276
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
09:59:50
22 Sep 2025
10:25:00
25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2959 0.2977 0.2924 1.94 0.05542
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 0.2959
  • Stop Loss: 0.2977
  • Take Profit: 0.2924

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2977 - 0.2959 = 0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2959 - 0.2924 = 0.0035

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0035 / 0.0018 = 1.9444

📌 Position Size

Amount Margin Quantity Leverage
1348.4478 100 4557.1063 13.48
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 0.0018

Taille de position = 8 / 0.0018 = 4444.44

Taille de position USD = 4444.44 x 0.2959 = 1315.11

Donc, tu peux acheter 4444.44 avec un stoploss a 0.2977

Avec un position size USD de 1315.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4444.44 x 0.0018 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4444.44 x 0.0035 = 15.56

Si Take Profit atteint, tu gagneras 15.56$

Résumé

  • Taille de position 4444.44
  • Taille de position USD 1315.11
  • Perte potentielle 8
  • Gain potentiel 15.56
  • Risk-Reward Ratio 1.9444

📌 Peformances

TP % Target TP $ Target
1.18 % 15.95 $
SL % Target SL $ Target
0.61 % 8.2 $
PNL PNL %
-8.2 $ -0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6083 % 100 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2924
            [entry_price] => 0.2959
            [stop_loss] => 0.29788
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.2924
            [entry_price] => 0.2959
            [stop_loss] => 0.29806
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.2924
            [entry_price] => 0.2959
            [stop_loss] => 0.29824
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.2924
            [entry_price] => 0.2959
            [stop_loss] => 0.2986
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0049
            [max_drawdown] => 0.0018
            [rr_ratio] => 2.72
            [high] => 0.29770000
            [low] => 0.29100000
            [mfe_pct] => 1.66
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 2.72
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T09:59:50-04:00
            [end_at] => 2025-09-22T11:59:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0053
            [max_drawdown] => 0.0064
            [rr_ratio] => 0.83
            [high] => 0.30230000
            [low] => 0.29060000
            [mfe_pct] => 1.79
            [mae_pct] => 2.16
            [mfe_mae_ratio] => 0.83
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T09:59:50-04:00
            [end_at] => 2025-09-22T16:59:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29590000
            [high_after] => 0.29920000
            [low_before] => 0.28790000
            [low_after] => 0.29060000
            [is_new_high] => 
            [is_new_low] => 
        )

)