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Short Trade on AVAX

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Short Trade on AVAX 04 Nov 2025 at 03:37:33

Take profit at 16.1688 (2.06 %) and Stop Loss at 16.6791 (1.03 %)

Short Trade on AVAX

The 04 Nov 2025 at 03:37:33

With 47.0316 AVAX at 16.509$ per unit.

Position size of 776.4447 $

Take profit at 16.1688 (2.06 %) and Stop Loss at 16.6791 (1.03 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.08
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.61
Prediction 2 Probability
0 0.61
Prediction 3 Probability
1 0.6
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 : range_medium
BTC Correlation Score

5m : 0.846245

15m : 0.03038

1H : -0.319706

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.1133989303
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 16.4967
  4. ema21 : 16.7772
  5. ema50 : 17.321
  6. ema100 : 17.7504
  7. price_ema9_diff : 0.000743948
  8. ema9_ema21_diff : -0.0167225
  9. ema21_ema50_diff : -0.0313948
  10. price_ema100_diff : -0.0699398
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.207045
  14. ema_slope_21 : -0.251919
  15. ema_slope_50 : -0.21853
  16. ema_slope_100 : -0.147027
  17. rsi : 0.428583
  18. adx : 0.38896
  19. kc_percentage : 0.345105
  20. kc_width_percentage : 0.0956636
  21. volume_ema_diff : 0.00483165
  22. volume_ema1 : 1890943.1583075
  23. volume_ema2 : 1881850.7134839
  24. chop : 58.7762
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 16.3015
  28. ema21 : 16.4107
  29. ema50 : 16.5987
  30. ema100 : 16.8113
  31. price_ema9_diff : 0.0127251
  32. ema9_ema21_diff : -0.00665476
  33. ema21_ema50_diff : -0.0113267
  34. price_ema100_diff : -0.0179848
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.174474
  38. ema_slope_21 : -0.162391
  39. ema_slope_50 : -0.105345
  40. ema_slope_100 : -0.0744394
  41. rsi : 0.513593
  42. adx : 0.248955
  43. kc_percentage : 0.6405
  44. kc_width_percentage : 0.0462079
  45. volume_ema_diff : -0.140589
  46. volume_ema1 : 438041.97150785
  47. volume_ema2 : 509700.49829862
  48. chop : 42.423
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 16.3217
  52. ema21 : 16.2735
  53. ema50 : 16.3642
  54. ema100 : 16.4721
  55. price_ema9_diff : 0.0114735
  56. ema9_ema21_diff : 0.00295798
  57. ema21_ema50_diff : -0.00553682
  58. price_ema100_diff : 0.00223997
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0726089
  62. ema_slope_21 : 0.00288661
  63. ema_slope_50 : -0.0352875
  64. ema_slope_100 : -0.0314012
  65. rsi : 0.639289
  66. adx : 0.210155
  67. kc_percentage : 1.00958
  68. kc_width_percentage : 0.0280428
  69. volume_ema_diff : -0.0910576
  70. volume_ema1 : 162774.77728717
  71. volume_ema2 : 179081.51187971
  72. chop : 38.8955
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    105415
  77. 5m_price_ema100_diff: 
    -0.00867171
  78. 5m_price: 
    104501
  79. 5m_correlation_with_coin: 
    0.846245
  80. btc_indicators
  81. 15m_ema100: 
    106366
  82. 15m_price_ema100_diff: 
    -0.01797
  83. 15m_price: 
    104455
  84. 15m_correlation_with_coin: 
    0.03038
  85. btc_indicators
  86. 1H_ema100: 
    108510
  87. 1H_price_ema100_diff: 
    -0.036946
  88. 1H_price: 
    104501
  89. 1H_correlation_with_coin: 
    -0.319706
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Nov 2025
03:37:33		 04 Nov 2025
05:05:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
16.509 16.6791 16.1688 2 8.95
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 16.509
  • Stop Loss: 16.6791
  • Take Profit: 16.1688

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 16.6791 - 16.509 = 0.1701

  • Récompense (distance jusqu'au take profit):

    E - TP = 16.509 - 16.1688 = 0.3402

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.3402 / 0.1701 = 2

📌 Position Size

Amount Margin Quantity Leverage
776.4447 100 47.0316 7.76
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 0.1701

Taille de position = 8 / 0.1701 = 47.03

Taille de position USD = 47.03 x 16.509 = 776.42

Donc, tu peux acheter 47.03 avec un stoploss a 16.6791

Avec un position size USD de 776.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 47.03 x 0.1701 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 47.03 x 0.3402 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 47.03
  • Taille de position USD 776.42
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.06 % 16 $
SL % Target SL $ Target
1.03 % 8 $
PNL PNL %
-8 $ -1.03
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1267 % 109.36 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 16.1688
            [entry_price] => 16.509
            [stop_loss] => 16.69611
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-04 06:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 16.1688
            [entry_price] => 16.509
            [stop_loss] => 16.71312
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-04 06:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 16.1688
            [entry_price] => 16.509
            [stop_loss] => 16.73013
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-04 06:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 16.1688
            [entry_price] => 16.509
            [stop_loss] => 16.76415
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-04 06:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.168
            [max_drawdown] => 0.186
            [rr_ratio] => 0.9
            [high] => 16.69500000
            [low] => 16.34100000
            [mfe_pct] => 1.02
            [mae_pct] => 1.13
            [mfe_mae_ratio] => 0.9
            [candles_analyzed] => 24
            [start_at] => 2025-11-04T03:37:33-05:00
            [end_at] => 2025-11-04T05:37:33-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.199
            [max_drawdown] => 0.333
            [rr_ratio] => 0.6
            [high] => 16.84200000
            [low] => 16.31000000
            [mfe_pct] => 1.21
            [mae_pct] => 2.02
            [mfe_mae_ratio] => 0.6
            [candles_analyzed] => 84
            [start_at] => 2025-11-04T03:37:33-05:00
            [end_at] => 2025-11-04T10:37:33-05:00
        )

    [breakout] => Array
        (
            [high_before] => 16.89500000
            [high_after] => 16.80000000
            [low_before] => 15.96300000
            [low_after] => 16.31000000
            [is_new_high] => 
            [is_new_low] => 
        )

)