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Short Trade on AVAX

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Short Trade on AVAX 22 Sep 2025 at 06:46:49

Take profit at 30.9707 (1.25 %) and Stop Loss at 31.5577 (0.62 %)

Short Trade on AVAX

The 22 Sep 2025 at 06:46:49

With 40.8852 AVAX at 31.362$ per unit.

Position size of 1282.2402 $

Take profit at 30.9707 (1.25 %) and Stop Loss at 31.5577 (0.62 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.64
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
1 0.55
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.792205

15m : 0.006961

1H : -0.020647

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.1304466993
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 31.2625
  4. ema21 : 31.8536
  5. ema50 : 32.5437
  6. ema100 : 32.9327
  7. price_ema9_diff : 0.00318183
  8. ema9_ema21_diff : -0.0185573
  9. ema21_ema50_diff : -0.0212044
  10. price_ema100_diff : -0.0476953
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.455965
  14. ema_slope_21 : -0.311498
  15. ema_slope_50 : -0.182238
  16. ema_slope_100 : -0.104056
  17. rsi : 0.408833
  18. adx : 0.42276
  19. kc_percentage : 0.328651
  20. kc_width_percentage : 0.0842948
  21. volume_ema_diff : 0.610615
  22. volume_ema1 : 16664694.789244
  23. volume_ema2 : 10346788.491122
  24. chop : 5.15217
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 31.0939
  28. ema21 : 31.0908
  29. ema50 : 31.5104
  30. ema100 : 32.0311
  31. price_ema9_diff : 0.00861974
  32. ema9_ema21_diff : 0.00010178
  33. ema21_ema50_diff : -0.0133185
  34. price_ema100_diff : -0.0208897
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0697724
  38. ema_slope_21 : -0.032965
  39. ema_slope_50 : -0.0823945
  40. ema_slope_100 : -0.0729382
  41. rsi : 0.550313
  42. adx : 0.523259
  43. kc_percentage : 0.765023
  44. kc_width_percentage : 0.033807
  45. volume_ema_diff : -0.266285
  46. volume_ema1 : 2918492.3084339
  47. volume_ema2 : 3977695.8999978
  48. chop : 57.68
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 31.2307
  52. ema21 : 31.0641
  53. ema50 : 30.999
  54. ema100 : 31.0939
  55. price_ema9_diff : 0.00420157
  56. ema9_ema21_diff : 0.00536296
  57. ema21_ema50_diff : 0.00210246
  58. price_ema100_diff : 0.00862184
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.123786
  62. ema_slope_21 : 0.0690635
  63. ema_slope_50 : 0.023009
  64. ema_slope_100 : 0.00186609
  65. rsi : 0.656332
  66. adx : 0.280843
  67. kc_percentage : 1.06081
  68. kc_width_percentage : 0.0164439
  69. volume_ema_diff : -0.328548
  70. volume_ema1 : 913483.34979615
  71. volume_ema2 : 1360461.1266683
  72. chop : 27.2162
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113090
  77. 5m_price_ema100_diff: 
    -0.00563374
  78. 5m_price: 
    112453
  79. 5m_correlation_with_coin: 
    0.792205
  80. btc_indicators
  81. 15m_ema100: 
    114246
  82. 15m_price_ema100_diff: 
    -0.0156961
  83. 15m_price: 
    112453
  84. 15m_correlation_with_coin: 
    0.006961
  85. btc_indicators
  86. 1H_ema100: 
    115506
  87. 1H_price_ema100_diff: 
    -0.0264315
  88. 1H_price: 
    112453
  89. 1H_correlation_with_coin: 
    -0.020647
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
06:46:49		 22 Sep 2025
08:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
31.362 31.5577 30.9707 2 8.915
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 31.362
  • Stop Loss: 31.5577
  • Take Profit: 30.9707

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 31.5577 - 31.362 = 0.1957

  • Récompense (distance jusqu'au take profit):

    E - TP = 31.362 - 30.9707 = 0.3913

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.3913 / 0.1957 = 1.9995

📌 Position Size

Amount Margin Quantity Leverage
1282.2402 100 40.8852 12.82
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 0.1957

Taille de position = 8 / 0.1957 = 40.88

Taille de position USD = 40.88 x 31.362 = 1282.08

Donc, tu peux acheter 40.88 avec un stoploss a 31.5577

Avec un position size USD de 1282.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 40.88 x 0.1957 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 40.88 x 0.3913 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 40.88
  • Taille de position USD 1282.08
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 1.9995

📌 Peformances

TP % Target TP $ Target
1.25 % 16 $
SL % Target SL $ Target
0.62 % 8 $
PNL PNL %
-8 $ -0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6517 % 264.7 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 30.9707
            [entry_price] => 31.362
            [stop_loss] => 31.57727
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 08:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 30.9707
            [entry_price] => 31.362
            [stop_loss] => 31.59684
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 08:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 30.9707
            [entry_price] => 31.362
            [stop_loss] => 31.61641
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 08:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 30.9707
            [entry_price] => 31.362
            [stop_loss] => 31.65555
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 08:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.347
            [max_drawdown] => 0.717
            [rr_ratio] => 0.48
            [high] => 32.07900000
            [low] => 31.01500000
            [mfe_pct] => 1.11
            [mae_pct] => 2.29
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T06:46:49-04:00
            [end_at] => 2025-09-22T08:46:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.347
            [max_drawdown] => 0.824
            [rr_ratio] => 0.42
            [high] => 32.18600000
            [low] => 31.01500000
            [mfe_pct] => 1.11
            [mae_pct] => 2.63
            [mfe_mae_ratio] => 0.42
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T06:46:49-04:00
            [end_at] => 2025-09-22T13:46:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 31.43800000
            [high_after] => 32.18600000
            [low_before] => 30.47300000
            [low_after] => 31.01500000
            [is_new_high] => 
            [is_new_low] => 
        )

)