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Short Trade on AVAX

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Short Trade on AVAX 06 Sep 2025 at 10:06:51

Take profit at 24.2066 (0.36 %) and Stop Loss at 24.3377 (0.18 %)

Short Trade on AVAX

The 06 Sep 2025 at 10:06:51

With 183.0756 AVAX at 24.294$ per unit.

Position size of 4447.6385 $

Take profit at 24.2066 (0.36 %) and Stop Loss at 24.3377 (0.18 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.24
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
1 0.52
Prediction 3 Probability
1 0.65
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.596186

15m : 0.051307

1H : -0.065741

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.42
  4. atr: 0.02913186422
Details
  1. score: 1.42
  2. 1H
  3. ema9 : 24.2318
  4. ema21 : 24.2968
  5. ema50 : 24.4069
  6. ema100 : 24.4226
  7. price_ema9_diff : 0.00256312
  8. ema9_ema21_diff : -0.00267213
  9. ema21_ema50_diff : -0.00451075
  10. price_ema100_diff : -0.00526644
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0652406
  14. ema_slope_21 : -0.056647
  15. ema_slope_50 : -0.0385537
  16. ema_slope_100 : -0.0182832
  17. rsi : 0.484507
  18. adx : 0.213022
  19. kc_percentage : 0.505218
  20. kc_width_percentage : 0.0205604
  21. volume_ema_diff : -0.643464
  22. volume_ema1 : 948167.03858235
  23. volume_ema2 : 2659390.8419238
  24. regime : bear_medium
    25. ¸
  25. 15m
  26. ema9 : 24.1922
  27. ema21 : 24.1789
  28. ema50 : 24.2311
  29. ema100 : 24.3493
  30. price_ema9_diff : 0.00420394
  31. ema9_ema21_diff : 0.000550772
  32. ema21_ema50_diff : -0.00215444
  33. price_ema100_diff : -0.00227298
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.01483
  37. ema_slope_21 : -0.00231609
  38. ema_slope_50 : -0.0134098
  39. ema_slope_100 : -0.0170736
  40. rsi : 0.660736
  41. adx : 0.252511
  42. kc_percentage : 1.07091
  43. kc_width_percentage : 0.00833783
  44. volume_ema_diff : 0.364341
  45. volume_ema1 : 476717.02085558
  46. volume_ema2 : 349411.78658277
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 24.2151
  50. ema21 : 24.1788
  51. ema50 : 24.1625
  52. ema100 : 24.1696
  53. price_ema9_diff : 0.00325696
  54. ema9_ema21_diff : 0.00150177
  55. ema21_ema50_diff : 0.000675253
  56. price_ema100_diff : 0.00514512
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0271456
  60. ema_slope_21 : 0.0144385
  61. ema_slope_50 : 0.00558592
  62. ema_slope_100 : 0.0014789
  63. rsi : 0.764696
  64. adx : 0.237145
  65. kc_percentage : 1.42025
  66. kc_width_percentage : 0.0050775
  67. volume_ema_diff : 2.24984
  68. volume_ema1 : 347331.61513216
  69. volume_ema2 : 106876.20364832
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110753
  74. 5m_price_ema100_diff: 
    0.00128236
  75. 5m_price: 
    110895
  76. 5m_correlation_with_coin: 
    0.596186
  77. btc_indicators
  78. 15m_ema100: 
    111109
  79. 15m_price_ema100_diff: 
    -0.0019232
  80. 15m_price: 
    110895
  81. 15m_correlation_with_coin: 
    0.051307
  82. btc_indicators
  83. 1H_ema100: 
    110875
  84. 1H_price_ema100_diff: 
    0.000185292
  85. 1H_price: 
    110895
  86. 1H_correlation_with_coin: 
    -0.065741
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Sep 2025
10:06:51		 06 Sep 2025
10:15:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
24.294 24.3377 24.2066 2 8.461
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 24.294
  • Stop Loss: 24.3377
  • Take Profit: 24.2066

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 24.3377 - 24.294 = 0.043700000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 24.294 - 24.2066 = 0.087399999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.087399999999999 / 0.043700000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
4447.6385 100 183.0756 44.48
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 0.043700000000001

Taille de position = 8 / 0.043700000000001 = 183.07

Taille de position USD = 183.07 x 24.294 = 4447.5

Donc, tu peux acheter 183.07 avec un stoploss a 24.3377

Avec un position size USD de 4447.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 183.07 x 0.043700000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 183.07 x 0.087399999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 183.07
  • Taille de position USD 4447.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.36 % 16 $
SL % Target SL $ Target
0.18 % 8 $
PNL PNL %
-8 $ -0.18
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2305 % 128.13 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 24.2066
            [entry_price] => 24.294
            [stop_loss] => 24.34207
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-06 10:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 24.2066
            [entry_price] => 24.294
            [stop_loss] => 24.34644
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-06 10:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 24.2066
            [entry_price] => 24.294
            [stop_loss] => 24.35081
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-06 10:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 24.2066
            [entry_price] => 24.294
            [stop_loss] => 24.35955
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-06 10:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.118
            [max_drawdown] => 0.094000000000001
            [rr_ratio] => 1.26
            [high] => 24.38800000
            [low] => 24.17600000
            [mfe_pct] => 0.49
            [mae_pct] => 0.39
            [mfe_mae_ratio] => 1.26
            [candles_analyzed] => 24
            [start_at] => 2025-09-06T10:06:51-04:00
            [end_at] => 2025-09-06T12:06:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.118
            [max_drawdown] => 0.314
            [rr_ratio] => 0.38
            [high] => 24.60800000
            [low] => 24.17600000
            [mfe_pct] => 0.49
            [mae_pct] => 1.29
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 84
            [start_at] => 2025-09-06T10:06:51-04:00
            [end_at] => 2025-09-06T17:06:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 24.31500000
            [high_after] => 24.60800000
            [low_before] => 24.07500000
            [low_after] => 24.17600000
            [is_new_high] => 
            [is_new_low] => 
        )

)