Web3Way Logo

Short Trade on AAVE

Previous Trade Next Trade

Short Trade on AAVE 07 Sep 2025 at 15:45:38

Take profit at 298.852 (0.43 %) and Stop Loss at 300.799 (0.22 %)

Short Trade on AAVE

The 07 Sep 2025 at 15:45:38

With 12.3266 AAVE at 300.15$ per unit.

Position size of 3699.8236 $

Take profit at 298.852 (0.43 %) and Stop Loss at 300.799 (0.22 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.42
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.63
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 : 0.558235

15m : 0.214781

1H : -0.084395

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.4326692808
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 299.891
  4. ema21 : 300.315
  5. ema50 : 302.218
  6. ema100 : 306.878
  7. price_ema9_diff : 0.000860539
  8. ema9_ema21_diff : -0.00141078
  9. ema21_ema50_diff : -0.00629491
  10. price_ema100_diff : -0.0219267
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.032557
  14. ema_slope_21 : -0.0147939
  15. ema_slope_50 : -0.0339512
  16. ema_slope_100 : -0.0484153
  17. rsi : 0.480786
  18. adx : 0.155914
  19. kc_percentage : 0.480571
  20. kc_width_percentage : 0.0229773
  21. volume_ema_diff : -0.176174
  22. volume_ema1 : 1564100.2124289
  23. volume_ema2 : 1898581.5606015
  24. regime : bear_medium
    25. ¸
  25. 15m
  26. ema9 : 299.407
  27. ema21 : 299.54
  28. ema50 : 300.007
  29. ema100 : 300.083
  30. price_ema9_diff : 0.0024789
  31. ema9_ema21_diff : -0.000441381
  32. ema21_ema50_diff : -0.0015597
  33. price_ema100_diff : 0.000220814
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.00981746
  37. ema_slope_21 : -0.0174886
  38. ema_slope_50 : -0.0138653
  39. ema_slope_100 : -0.00679508
  40. rsi : 0.549436
  41. adx : 0.278751
  42. kc_percentage : 0.686228
  43. kc_width_percentage : 0.0112991
  44. volume_ema_diff : -0.216104
  45. volume_ema1 : 330994.02544001
  46. volume_ema2 : 422242.52637879
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 299.449
  50. ema21 : 299.209
  51. ema50 : 299.335
  52. ema100 : 299.78
  53. price_ema9_diff : 0.00233795
  54. ema9_ema21_diff : 0.000804734
  55. ema21_ema50_diff : -0.000421487
  56. price_ema100_diff : 0.00123253
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0165844
  60. ema_slope_21 : 0.0046151
  61. ema_slope_50 : -0.00236927
  62. ema_slope_100 : -0.00463111
  63. rsi : 0.633091
  64. adx : 0.194736
  65. kc_percentage : 1.05157
  66. kc_width_percentage : 0.00564887
  67. volume_ema_diff : 0.632217
  68. volume_ema1 : 228302.89264916
  69. volume_ema2 : 139872.83651429
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    111097
  74. 5m_price_ema100_diff: 
    0.000936399
  75. 5m_price: 
    111201
  76. 5m_correlation_with_coin: 
    0.558235
  77. btc_indicators
  78. 15m_ema100: 
    110794
  79. 15m_price_ema100_diff: 
    0.00367869
  80. 15m_price: 
    111201
  81. 15m_correlation_with_coin: 
    0.214781
  82. btc_indicators
  83. 1H_ema100: 
    111007
  84. 1H_price_ema100_diff: 
    0.00174867
  85. 1H_price: 
    111201
  86. 1H_correlation_with_coin: 
    -0.084395
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
07 Sep 2025
15:45:38		 07 Sep 2025
16:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
300.15 300.799 298.852 2 112.21
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 300.15
  • Stop Loss: 300.799
  • Take Profit: 298.852

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 300.799 - 300.15 = 0.649

  • Récompense (distance jusqu'au take profit):

    E - TP = 300.15 - 298.852 = 1.298

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 1.298 / 0.649 = 2

📌 Position Size

Amount Margin Quantity Leverage
3699.8236 100 12.3266 37.00
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 0.649

Taille de position = 8 / 0.649 = 12.33

Taille de position USD = 12.33 x 300.15 = 3700.85

Donc, tu peux acheter 12.33 avec un stoploss a 300.799

Avec un position size USD de 3700.85$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 12.33 x 0.649 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 12.33 x 1.298 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 12.33
  • Taille de position USD 3700.85
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.43 % 16 $
SL % Target SL $ Target
0.22 % 8 $
PNL PNL %
-8 $ -0.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3298 % 152.54 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 298.852
            [entry_price] => 300.15
            [stop_loss] => 300.8639
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-07 16:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 298.852
            [entry_price] => 300.15
            [stop_loss] => 300.9288
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-07 16:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 298.852
            [entry_price] => 300.15
            [stop_loss] => 300.9937
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-07 16:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 298.852
            [entry_price] => 300.15
            [stop_loss] => 301.1235
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-07 16:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.69
            [max_drawdown] => 1.73
            [rr_ratio] => 0.4
            [high] => 301.88000000
            [low] => 299.46000000
            [mfe_pct] => 0.23
            [mae_pct] => 0.58
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 24
            [start_at] => 2025-09-07T15:45:38-04:00
            [end_at] => 2025-09-07T17:45:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.69
            [max_drawdown] => 3.96
            [rr_ratio] => 0.17
            [high] => 304.11000000
            [low] => 299.46000000
            [mfe_pct] => 0.23
            [mae_pct] => 1.32
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 84
            [start_at] => 2025-09-07T15:45:38-04:00
            [end_at] => 2025-09-07T22:45:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 300.63000000
            [high_after] => 304.11000000
            [low_before] => 297.96000000
            [low_after] => 299.46000000
            [is_new_high] => 
            [is_new_low] => 
        )

)