Short Trade on AXL 22 Sep 2025 at 16:32:41

Take profit at 0.296 (1.2 %) and Stop Loss at 0.3014 (0.6 %)

Short Trade on AXL

The 22 Sep 2025 at 16:32:41

With 4495.9392 AXL at 0.2996$ per unit.

Position size of 1346.9834 $

Take profit at 0.296 (1.2 %) and Stop Loss at 0.3014 (0.6 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.01
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
1 0.61
Prediction 3 Probability
0 0.68
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.497545

15m : -0.001543

1H : -0.093834

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.001186255675
Details
  1. score: 1.18
  2. 1H
  3. ema9 : 0.295695
  4. ema21 : 0.300099
  5. ema50 : 0.310786
  6. ema100 : 0.319802
  7. price_ema9_diff : 0.0132037
  8. ema9_ema21_diff : -0.0146729
  9. ema21_ema50_diff : -0.0343896
  10. price_ema100_diff : -0.0631714
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.187422
  14. ema_slope_21 : -0.323661
  15. ema_slope_50 : -0.267153
  16. ema_slope_100 : -0.178766
  17. rsi : 0.449856
  18. adx : 0.597384
  19. kc_percentage : 0.498085
  20. kc_width_percentage : 0.0654604
  21. volume_ema_diff : -0.356726
  22. volume_ema1 : 135571.8065585
  23. volume_ema2 : 210752.83134746
  24. chop : 68.5458
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.296837
  29. ema21 : 0.295589
  30. ema50 : 0.29646
  31. ema100 : 0.30203
  32. price_ema9_diff : 0.00930726
  33. ema9_ema21_diff : 0.00422163
  34. ema21_ema50_diff : -0.00293683
  35. price_ema100_diff : -0.00804582
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.102221
  39. ema_slope_21 : 0.0620755
  40. ema_slope_50 : -0.00113603
  41. ema_slope_100 : -0.0425375
  42. rsi : 0.625188
  43. adx : 0.239183
  44. kc_percentage : 0.958614
  45. kc_width_percentage : 0.0287528
  46. volume_ema_diff : -0.640039
  47. volume_ema1 : 18485.109982462
  48. volume_ema2 : 51353.186008514
  49. chop : 50.1685
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.297205
  54. ema21 : 0.296382
  55. ema50 : 0.295412
  56. ema100 : 0.294501
  57. price_ema9_diff : 0.00805549
  58. ema9_ema21_diff : 0.00277675
  59. ema21_ema50_diff : 0.00328592
  60. price_ema100_diff : 0.0173122
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0165102
  64. ema_slope_21 : 0.0163166
  65. ema_slope_50 : 0.0170379
  66. ema_slope_100 : 0.0138126
  67. rsi : 0.68175
  68. adx : 0.170467
  69. kc_percentage : 1.17827
  70. kc_width_percentage : 0.0155962
  71. volume_ema_diff : -0.819879
  72. volume_ema1 : 2178.2271039635
  73. volume_ema2 : 12093.180799575
  74. chop : 45.0992
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112498
  80. 5m_price_ema100_diff:
    -0.000820095
  81. 5m_price:
    112406
  82. 5m_correlation_with_coin:
    0.497545
  83. btc_indicators
  84. 15m_ema100:
    113329
  85. 15m_price_ema100_diff:
    -0.00815162
  86. 15m_price:
    112406
  87. 15m_correlation_with_coin:
    -0.001543
  88. btc_indicators
  89. 1H_ema100:
    115043
  90. 1H_price_ema100_diff:
    -0.022926
  91. 1H_price:
    112406
  92. 1H_correlation_with_coin:
    -0.093834
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:32:41
22 Sep 2025
16:50:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2996 0.3014 0.296 2 0.05667
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 0.2996
  • Stop Loss: 0.3014
  • Take Profit: 0.296

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3014 - 0.2996 = 0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2996 - 0.296 = 0.0036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0036 / 0.0018 = 2

📌 Position Size

Amount Margin Quantity Leverage
1346.9834 100 4495.9392 13.47
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 0.2996 = 1331.55

Donc, tu peux acheter 4444.44 avec un stoploss a 0.3014

Avec un position size USD de 1331.55$

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 0.0036 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4444.44
  • Taille de position USD 1331.55
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.2 % 16.19 $
SL % Target SL $ Target
0.6 % 8.09 $
PNL PNL %
-8.09 $ -0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6008 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.296
            [entry_price] => 0.2996
            [stop_loss] => 0.30158
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 16:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.296
            [entry_price] => 0.2996
            [stop_loss] => 0.30176
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 16:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.296
            [entry_price] => 0.2996
            [stop_loss] => 0.30194
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 16:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.296
            [entry_price] => 0.2996
            [stop_loss] => 0.3023
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 16:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00010000000000004
            [max_drawdown] => 0.0068
            [rr_ratio] => -0.01
            [high] => 0.30640000
            [low] => 0.29970000
            [mfe_pct] => -0.03
            [mae_pct] => 2.27
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:32:41-04:00
            [end_at] => 2025-09-22T18:32:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.00010000000000004
            [max_drawdown] => 0.0122
            [rr_ratio] => -0.01
            [high] => 0.31180000
            [low] => 0.29970000
            [mfe_pct] => -0.03
            [mae_pct] => 4.07
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:32:41-04:00
            [end_at] => 2025-09-22T23:32:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29990000
            [high_after] => 0.31180000
            [low_before] => 0.29060000
            [low_after] => 0.29970000
            [is_new_high] => 
            [is_new_low] => 
        )

)