Short Trade on AVAX 11 Oct 2025 at 02:42:15

Take profit at 22.084 (1.98 %) and Stop Loss at 22.753 (0.99 %)

Short Trade on AVAX

The 11 Oct 2025 at 02:42:15

With 35.8754 AVAX at 22.53$ per unit.

Position size of 808.2724 $

Take profit at 22.084 (1.98 %) and Stop Loss at 22.753 (0.99 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.16
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.73
Prediction 3 Probability
1 0.53
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.651156

15m : 0.086136

1H : -0.175768

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.1486627458
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 22.4558
  4. ema21 : 23.9517
  5. ema50 : 25.9059
  6. ema100 : 27.2752
  7. price_ema9_diff : 0.00330133
  8. ema9_ema21_diff : -0.0624533
  9. ema21_ema50_diff : -0.0754353
  10. price_ema100_diff : -0.173977
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.48895
  14. ema_slope_21 : -1.15002
  15. ema_slope_50 : -0.6686
  16. ema_slope_100 : -0.394634
  17. rsi : 0.354573
  18. adx : 0.589492
  19. kc_percentage : 0.28254
  20. kc_width_percentage : 0.267752
  21. volume_ema_diff : -0.358209
  22. volume_ema1 : 6071644.9380236
  23. volume_ema2 : 9460480.5915943
  24. chop : -1.85297
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 22.1861
  29. ema21 : 22.0857
  30. ema50 : 22.9125
  31. ema100 : 24.4449
  32. price_ema9_diff : 0.0154968
  33. ema9_ema21_diff : 0.00454952
  34. ema21_ema50_diff : -0.0360854
  35. price_ema100_diff : -0.0783387
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.107945
  39. ema_slope_21 : 0.0324733
  40. ema_slope_50 : -0.179885
  41. ema_slope_100 : -0.213055
  42. rsi : 0.546156
  43. adx : 0.452074
  44. kc_percentage : 0.789592
  45. kc_width_percentage : 0.0690572
  46. volume_ema_diff : -0.67589
  47. volume_ema1 : 952479.10127418
  48. volume_ema2 : 2938756.9845096
  49. chop : 83.892
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 22.3827
  54. ema21 : 22.2102
  55. ema50 : 21.9941
  56. ema100 : 21.6387
  57. price_ema9_diff : 0.00657713
  58. ema9_ema21_diff : 0.0077674
  59. ema21_ema50_diff : 0.00982604
  60. price_ema100_diff : 0.0411878
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.188385
  64. ema_slope_21 : 0.104291
  65. ema_slope_50 : 0.0713294
  66. ema_slope_100 : 0.0676964
  67. rsi : 0.665089
  68. adx : 0.243559
  69. kc_percentage : 1.0502
  70. kc_width_percentage : 0.025034
  71. volume_ema_diff : -0.436518
  72. volume_ema1 : 247056.36370542
  73. volume_ema2 : 438446.00173107
  74. chop : 33.3868
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112311
  80. 5m_price_ema100_diff:
    -0.00127529
  81. 5m_price:
    112167
  82. 5m_correlation_with_coin:
    0.651156
  83. btc_indicators
  84. 15m_ema100:
    115844
  85. 15m_price_ema100_diff:
    -0.030691
  86. 15m_price:
    112288
  87. 15m_correlation_with_coin:
    0.086136
  88. btc_indicators
  89. 1H_ema100:
    120067
  90. 1H_price_ema100_diff:
    -0.0657894
  91. 1H_price:
    112167
  92. 1H_correlation_with_coin:
    -0.175768
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
02:42:15
11 Oct 2025
04:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
22.53 22.753 22.084 2 9.302
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 22.53
  • Stop Loss: 22.753
  • Take Profit: 22.084

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 22.753 - 22.53 = 0.223

  • Récompense (distance jusqu'au take profit):

    E - TP = 22.53 - 22.084 = 0.446

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.446 / 0.223 = 2

📌 Position Size

Amount Margin Quantity Leverage
808.2724 100 35.8754 8.08
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 0.223

Taille de position = 8 / 0.223 = 35.87

Taille de position USD = 35.87 x 22.53 = 808.15

Donc, tu peux acheter 35.87 avec un stoploss a 22.753

Avec un position size USD de 808.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 35.87 x 0.223 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 35.87 x 0.446 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 35.87
  • Taille de position USD 808.15
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.98 % 16 $
SL % Target SL $ Target
0.99 % 8 $
PNL PNL %
-8 $ -0.99
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0075 % 101.79 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 22.084
            [entry_price] => 22.53
            [stop_loss] => 22.7753
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 04:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 22.084
            [entry_price] => 22.53
            [stop_loss] => 22.7976
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 04:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 22.084
            [entry_price] => 22.53
            [stop_loss] => 22.8199
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 04:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 22.084
            [entry_price] => 22.53
            [stop_loss] => 22.8645
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 04:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.436
            [max_drawdown] => 0.467
            [rr_ratio] => 0.93
            [high] => 22.99700000
            [low] => 22.09400000
            [mfe_pct] => 1.94
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 0.93
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T02:42:15-04:00
            [end_at] => 2025-10-11T04:42:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.577
            [max_drawdown] => 0.837
            [rr_ratio] => 0.69
            [high] => 23.36700000
            [low] => 21.95300000
            [mfe_pct] => 2.56
            [mae_pct] => 3.72
            [mfe_mae_ratio] => 0.69
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T02:42:15-04:00
            [end_at] => 2025-10-11T09:42:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 22.83700000
            [high_after] => 23.36700000
            [low_before] => 21.69200000
            [low_after] => 22.09400000
            [is_new_high] => 
            [is_new_low] => 
        )

)