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Long Trade on AVAX

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Long Trade on AVAX 23 Sep 2025 at 05:47:47

Take profit at 35.2352 (1.39 %) and Stop Loss at 34.5089 (0.7 %)

Long Trade on AVAX

The 23 Sep 2025 at 05:47:47

With 33.0425 AVAX at 34.751$ per unit.

Position size of 1148.2609 $

Take profit at 35.2352 (1.39 %) and Stop Loss at 34.5089 (0.7 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 3.53
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.64
Prediction 2 Probability
0 0.49
Prediction 3 Probability
1 0.6
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.412147

15m : 0.172992

1H : -0.019306

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.1614081522
Details
  1. score: 2.07
  2. 1H
  3. ema9 : 34.4871
  4. ema21 : 33.6188
  5. ema50 : 33.0651
  6. ema100 : 33.1359
  7. price_ema9_diff : 0.00765038
  8. ema9_ema21_diff : 0.025828
  9. ema21_ema50_diff : 0.016747
  10. price_ema100_diff : 0.0487385
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.664316
  14. ema_slope_21 : 0.457113
  15. ema_slope_50 : 0.19818
  16. ema_slope_100 : 0.0777257
  17. rsi : 0.606405
  18. adx : 0.395003
  19. kc_percentage : 0.817272
  20. kc_width_percentage : 0.0981539
  21. volume_ema_diff : 0.0266588
  22. volume_ema1 : 14697330.367987
  23. volume_ema2 : 14315690.930783
  24. chop : 32.7147
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 35.0238
  28. ema21 : 34.8477
  29. ema50 : 34.1428
  30. ema100 : 33.2471
  31. price_ema9_diff : -0.0077902
  32. ema9_ema21_diff : 0.00505257
  33. ema21_ema50_diff : 0.0206459
  34. price_ema100_diff : 0.0452335
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0542891
  38. ema_slope_21 : 0.122375
  39. ema_slope_50 : 0.146067
  40. ema_slope_100 : 0.128013
  41. rsi : 0.50978
  42. adx : 0.416781
  43. kc_percentage : 0.408108
  44. kc_width_percentage : 0.0372807
  45. volume_ema_diff : -0.407018
  46. volume_ema1 : 2497074.4080999
  47. volume_ema2 : 4211052.3876836
  48. chop : 73.8267
  49. regime : bull_high
    50. ¸
  50. 5m
  51. ema9 : 35.0116
  52. ema21 : 35.0936
  53. ema50 : 34.9626
  54. ema100 : 34.6237
  55. price_ema9_diff : -0.00744358
  56. ema9_ema21_diff : -0.00233662
  57. ema21_ema50_diff : 0.00374667
  58. price_ema100_diff : 0.00367567
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.05016
  62. ema_slope_21 : -0.0108798
  63. ema_slope_50 : 0.0213821
  64. ema_slope_100 : 0.0325745
  65. rsi : 0.349702
  66. adx : 0.242993
  67. kc_percentage : -0.0730848
  68. kc_width_percentage : 0.0171538
  69. volume_ema_diff : -0.136916
  70. volume_ema1 : 1084489.2273369
  71. volume_ema2 : 1256529.4400573
  72. chop : 47.808
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112713
  77. 5m_price_ema100_diff: 
    0.00182854
  78. 5m_price: 
    112920
  79. 5m_correlation_with_coin: 
    0.412147
  80. btc_indicators
  81. 15m_ema100: 
    112584
  82. 15m_price_ema100_diff: 
    0.00297722
  83. 15m_price: 
    112920
  84. 15m_correlation_with_coin: 
    0.172992
  85. btc_indicators
  86. 1H_ema100: 
    114377
  87. 1H_price_ema100_diff: 
    -0.0127443
  88. 1H_price: 
    112920
  89. 1H_correlation_with_coin: 
    -0.019306
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Sep 2025
05:47:47		 23 Sep 2025
07:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
34.751 34.5089 35.2352 2 9.278
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 34.751
  • Stop Loss: 34.5089
  • Take Profit: 35.2352

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 34.5089 - 34.751 = -0.2421

  • Récompense (distance jusqu'au take profit):

    E - TP = 34.751 - 35.2352 = -0.4842

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.4842 / -0.2421 = 2

📌 Position Size

Amount Margin Quantity Leverage
1148.2609 100 33.0425 11.48
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 -0.2421

Taille de position = 8 / -0.2421 = -33.04

Taille de position USD = -33.04 x 34.751 = -1148.17

Donc, tu peux acheter -33.04 avec un stoploss a 34.5089

Avec un position size USD de -1148.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -33.04 x -0.2421 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -33.04 x -0.4842 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -33.04
  • Taille de position USD -1148.17
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.39 % 16 $
SL % Target SL $ Target
0.7 % 8 $
PNL PNL %
-8 $ -0.70
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0359 % 148.69 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 35.2352
            [entry_price] => 34.751
            [stop_loss] => 34.48469
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 07:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 35.2352
            [entry_price] => 34.751
            [stop_loss] => 34.46048
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 07:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 35.2352
            [entry_price] => 34.751
            [stop_loss] => 34.43627
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 07:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 35.2352
            [entry_price] => 34.751
            [stop_loss] => 34.38785
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 07:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.158
            [max_drawdown] => 0.485
            [rr_ratio] => 0.33
            [high] => 34.90900000
            [low] => 34.26600000
            [mfe_pct] => 0.45
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T05:47:47-04:00
            [end_at] => 2025-09-23T07:47:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.429
            [max_drawdown] => 0.678
            [rr_ratio] => 2.11
            [high] => 36.18000000
            [low] => 34.07300000
            [mfe_pct] => 4.11
            [mae_pct] => 1.95
            [mfe_mae_ratio] => 2.11
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T05:47:47-04:00
            [end_at] => 2025-09-23T12:47:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 35.54300000
            [high_after] => 36.18000000
            [low_before] => 34.41400000
            [low_after] => 34.07300000
            [is_new_high] => 1
            [is_new_low] => 
        )

)