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Long Trade on AVAX

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Long Trade on AVAX 19 Sep 2025 at 01:33:44

Take profit at 34.8178 (1.42 %) and Stop Loss at 34.0891 (0.71 %)

Long Trade on AVAX

The 19 Sep 2025 at 01:33:44

With 32.9333 AVAX at 34.332$ per unit.

Position size of 1130.6671 $

Take profit at 34.8178 (1.42 %) and Stop Loss at 34.0891 (0.71 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.62
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.89
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.272311

15m : -0.150393

1H : -0.010881

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.1619433335
Details
  1. score: 2.05
  2. 1H
  3. ema9 : 34.7877
  4. ema21 : 34.2078
  5. ema50 : 32.8562
  6. ema100 : 31.6799
  7. price_ema9_diff : -0.013102
  8. ema9_ema21_diff : 0.0169525
  9. ema21_ema50_diff : 0.0411365
  10. price_ema100_diff : 0.0837121
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.373422
  14. ema_slope_21 : 0.407989
  15. ema_slope_50 : 0.3436
  16. ema_slope_100 : 0.241609
  17. rsi : 0.5672
  18. adx : 0.574691
  19. kc_percentage : 0.527421
  20. kc_width_percentage : 0.0719289
  21. volume_ema_diff : 0.213422
  22. volume_ema1 : 15337334.701676
  23. volume_ema2 : 12639733.546125
  24. chop : 38.3327
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 34.6493
  28. ema21 : 34.8556
  29. ema50 : 34.681
  30. ema100 : 34.2003
  31. price_ema9_diff : -0.00915968
  32. ema9_ema21_diff : -0.00591665
  33. ema21_ema50_diff : 0.00503226
  34. price_ema100_diff : 0.00384813
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.181409
  38. ema_slope_21 : -0.0805013
  39. ema_slope_50 : 0.0103671
  40. ema_slope_100 : 0.0379383
  41. rsi : 0.380528
  42. adx : 0.277551
  43. kc_percentage : 0.0647499
  44. kc_width_percentage : 0.034642
  45. volume_ema_diff : -0.176604
  46. volume_ema1 : 3318826.8016816
  47. volume_ema2 : 4030658.5717924
  48. chop : 39.6366
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 34.5361
  52. ema21 : 34.6881
  53. ema50 : 34.8989
  54. ema100 : 34.9646
  55. price_ema9_diff : -0.00591088
  56. ema9_ema21_diff : -0.0043808
  57. ema21_ema50_diff : -0.00604062
  58. price_ema100_diff : -0.0180942
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.040169
  62. ema_slope_21 : -0.0496846
  63. ema_slope_50 : -0.0409339
  64. ema_slope_100 : -0.0216368
  65. rsi : 0.288825
  66. adx : 0.303131
  67. kc_percentage : -0.0465656
  68. kc_width_percentage : 0.0183805
  69. volume_ema_diff : -0.0459275
  70. volume_ema1 : 1404183.2757405
  71. volume_ema2 : 1471778.5016728
  72. chop : 44.8908
  73. regime : bear_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    117055
  77. 5m_price_ema100_diff: 
    -0.00226838
  78. 5m_price: 
    116790
  79. 5m_correlation_with_coin: 
    0.272311
  80. btc_indicators
  81. 15m_ema100: 
    117237
  82. 15m_price_ema100_diff: 
    -0.00381601
  83. 15m_price: 
    116790
  84. 15m_correlation_with_coin: 
    -0.150393
  85. btc_indicators
  86. 1H_ema100: 
    116403
  87. 1H_price_ema100_diff: 
    0.00331728
  88. 1H_price: 
    116790
  89. 1H_correlation_with_coin: 
    -0.010881
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
19 Sep 2025
01:33:44		 19 Sep 2025
02:50:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
34.332 34.0891 34.8178 2 9.286
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 34.332
  • Stop Loss: 34.0891
  • Take Profit: 34.8178

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 34.0891 - 34.332 = -0.2429

  • Récompense (distance jusqu'au take profit):

    E - TP = 34.332 - 34.8178 = -0.4858

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.4858 / -0.2429 = 2

📌 Position Size

Amount Margin Quantity Leverage
1130.6671 100 32.9333 11.31
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 -0.2429

Taille de position = 8 / -0.2429 = -32.94

Taille de position USD = -32.94 x 34.332 = -1130.9

Donc, tu peux acheter -32.94 avec un stoploss a 34.0891

Avec un position size USD de -1130.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -32.94 x -0.2429 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -32.94 x -0.4858 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -32.94
  • Taille de position USD -1130.9
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.42 % 16 $
SL % Target SL $ Target
0.71 % 8 $
PNL PNL %
-8 $ -0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0311 % 145.74 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 34.8178
            [entry_price] => 34.332
            [stop_loss] => 34.06481
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-19 02:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 34.8178
            [entry_price] => 34.332
            [stop_loss] => 34.04052
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-19 02:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 34.8178
            [entry_price] => 34.332
            [stop_loss] => 34.01623
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-19 02:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 34.8178
            [entry_price] => 34.332
            [stop_loss] => 33.96765
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-19 03:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.14
            [max_drawdown] => 0.392
            [rr_ratio] => 0.36
            [high] => 34.47200000
            [low] => 33.94000000
            [mfe_pct] => 0.41
            [mae_pct] => 1.14
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 24
            [start_at] => 2025-09-19T01:33:44-04:00
            [end_at] => 2025-09-19T03:33:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.303
            [max_drawdown] => 0.545
            [rr_ratio] => 0.56
            [high] => 34.63500000
            [low] => 33.78700000
            [mfe_pct] => 0.88
            [mae_pct] => 1.59
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 84
            [start_at] => 2025-09-19T01:33:44-04:00
            [end_at] => 2025-09-19T08:33:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 35.79700000
            [high_after] => 34.63500000
            [low_before] => 34.18200000
            [low_after] => 33.94000000
            [is_new_high] => 
            [is_new_low] => 
        )

)