Web3Way Logo

Short Trade on AVAX

Previous Trade Next Trade

Short Trade on AVAX 03 Nov 2025 at 19:42:23

Take profit at 16.571 (1.46 %) and Stop Loss at 16.94 (0.73 %)

Short Trade on AVAX

The 03 Nov 2025 at 19:42:23

With 65.0357 AVAX at 16.817$ per unit.

Position size of 1093.7047 $

Take profit at 16.571 (1.46 %) and Stop Loss at 16.94 (0.73 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 5.53
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.67
Prediction 2 Probability
1 0.45
Prediction 3 Probability
0 0.82
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 : bull_medium
BTC Correlation Score

5m : 0.768592

15m : -0.192075

1H : -0.11483

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.08200629514
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 16.7953
  4. ema21 : 17.1116
  5. ema50 : 17.6163
  6. ema100 : 17.8912
  7. price_ema9_diff : 0.00128664
  8. ema9_ema21_diff : -0.0184801
  9. ema21_ema50_diff : -0.0286505
  10. price_ema100_diff : -0.0600411
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.344488
  14. ema_slope_21 : -0.329155
  15. ema_slope_50 : -0.22882
  16. ema_slope_100 : -0.133174
  17. rsi : 0.409431
  18. adx : 0.369613
  19. kc_percentage : 0.3147
  20. kc_width_percentage : 0.0862745
  21. volume_ema_diff : -0.229027
  22. volume_ema1 : 1494870.1643828
  23. volume_ema2 : 1938941.5722349
  24. chop : 35.8811
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 16.6009
  28. ema21 : 16.6569
  29. ema50 : 16.8754
  30. ema100 : 17.2639
  31. price_ema9_diff : 0.0130171
  32. ema9_ema21_diff : -0.00336585
  33. ema21_ema50_diff : -0.0129445
  34. price_ema100_diff : -0.0258885
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0320703
  38. ema_slope_21 : -0.055743
  39. ema_slope_50 : -0.0802466
  40. ema_slope_100 : -0.0846337
  41. rsi : 0.468167
  42. adx : 0.315481
  43. kc_percentage : 0.794353
  44. kc_width_percentage : 0.033527
  45. volume_ema_diff : -0.588789
  46. volume_ema1 : 240716.32505989
  47. volume_ema2 : 585384.57107811
  48. chop : 67.9363
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 16.6649
  52. ema21 : 16.6379
  53. ema50 : 16.6483
  54. ema100 : 16.677
  55. price_ema9_diff : 0.00912274
  56. ema9_ema21_diff : 0.0016235
  57. ema21_ema50_diff : -0.000623811
  58. price_ema100_diff : 0.00838895
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0158824
  62. ema_slope_21 : 0.00677374
  63. ema_slope_50 : -0.0034445
  64. ema_slope_100 : -0.00568265
  65. rsi : 0.633962
  66. adx : 0.146946
  67. kc_percentage : 1.02451
  68. kc_width_percentage : 0.020216
  69. volume_ema_diff : 0.481728
  70. volume_ema1 : 164500.02270941
  71. volume_ema2 : 111019.01398605
  72. chop : 34.7756
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    106550
  77. 5m_price_ema100_diff: 
    0.000860374
  78. 5m_price: 
    106642
  79. 5m_correlation_with_coin: 
    0.768592
  80. btc_indicators
  81. 15m_ema100: 
    107542
  82. 15m_price_ema100_diff: 
    -0.0122154
  83. 15m_price: 
    106228
  84. 15m_correlation_with_coin: 
    -0.192075
  85. btc_indicators
  86. 1H_ema100: 
    108640
  87. 1H_price_ema100_diff: 
    -0.0183977
  88. 1H_price: 
    106642
  89. 1H_correlation_with_coin: 
    -0.11483
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
03 Nov 2025
19:42:23		 03 Nov 2025
20:35:00		 52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
16.817 16.94 16.571 2 9.4
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 16.817
  • Stop Loss: 16.94
  • Take Profit: 16.571

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 16.94 - 16.817 = 0.123

  • Récompense (distance jusqu'au take profit):

    E - TP = 16.817 - 16.571 = 0.246

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.246 / 0.123 = 2

📌 Position Size

Amount Margin Quantity Leverage
1093.7047 100 65.0357 10.94
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 0.123

Taille de position = 8 / 0.123 = 65.04

Taille de position USD = 65.04 x 16.817 = 1093.78

Donc, tu peux acheter 65.04 avec un stoploss a 16.94

Avec un position size USD de 1093.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 65.04 x 0.123 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 65.04 x 0.246 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 65.04
  • Taille de position USD 1093.78
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.46 % 16 $
SL % Target SL $ Target
0.73 % 8 $
PNL PNL %
-8 $ -0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8384 % 114.63 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 16.571
            [entry_price] => 16.817
            [stop_loss] => 16.9523
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-03 20:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 16.571
            [entry_price] => 16.817
            [stop_loss] => 16.9646
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-03 22:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 16.571
            [entry_price] => 16.817
            [stop_loss] => 16.9769
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-03 22:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 16.571
            [entry_price] => 16.817
            [stop_loss] => 17.0015
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-04 00:20:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.127
            [max_drawdown] => 0.141
            [rr_ratio] => 0.9
            [high] => 16.95800000
            [low] => 16.69000000
            [mfe_pct] => 0.76
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 0.9
            [candles_analyzed] => 24
            [start_at] => 2025-11-03T19:42:23-05:00
            [end_at] => 2025-11-03T21:42:23-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.854
            [max_drawdown] => 0.182
            [rr_ratio] => 4.69
            [high] => 16.99900000
            [low] => 15.96300000
            [mfe_pct] => 5.08
            [mae_pct] => 1.08
            [mfe_mae_ratio] => 4.69
            [candles_analyzed] => 84
            [start_at] => 2025-11-03T19:42:23-05:00
            [end_at] => 2025-11-04T02:42:23-05:00
        )

    [breakout] => Array
        (
            [high_before] => 16.87500000
            [high_after] => 16.99900000
            [low_before] => 16.40400000
            [low_after] => 15.96300000
            [is_new_high] => 
            [is_new_low] => 1
        )

)