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Short Trade on AAVE

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Short Trade on AAVE 05 Sep 2025 at 00:03:44

Take profit at 306.9547 (0.58 %) and Stop Loss at 309.6477 (0.29 %)

Short Trade on AAVE

The 05 Sep 2025 at 00:03:44

With 8.912 AAVE at 308.75$ per unit.

Position size of 2751.587 $

Take profit at 306.9547 (0.58 %) and Stop Loss at 309.6477 (0.29 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.3
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.62
Prediction 3 Probability
0 0.74
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.579922

15m : -0.089454

1H : 0.054244

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.5984425255
Details
  1. score: 1
  2. 1H
  3. ema9 : 308.655
  4. ema21 : 311.67
  5. ema50 : 314.872
  6. ema100 : 315.275
  7. price_ema9_diff : 0.000305587
  8. ema9_ema21_diff : -0.00967301
  9. ema21_ema50_diff : -0.0101707
  10. price_ema100_diff : -0.0206985
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.205424
  14. ema_slope_21 : -0.202271
  15. ema_slope_50 : -0.109801
  16. ema_slope_100 : -0.0514547
  17. rsi : 0.395709
  18. adx : 0.319974
  19. kc_percentage : 0.254324
  20. kc_width_percentage : 0.0354418
  21. volume_ema_diff : -0.506092
  22. volume_ema1 : 1461564.6458193
  23. volume_ema2 : 2959185.4322138
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 307.727
  27. ema21 : 307.696
  28. ema50 : 309.509
  29. ema100 : 313.016
  30. price_ema9_diff : 0.00332418
  31. ema9_ema21_diff : 0.000100814
  32. ema21_ema50_diff : -0.00585779
  33. price_ema100_diff : -0.013629
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0232915
  37. ema_slope_21 : -0.00599554
  38. ema_slope_50 : -0.0329491
  39. ema_slope_100 : -0.0397218
  40. rsi : 0.547886
  41. adx : 0.160363
  42. kc_percentage : 0.733201
  43. kc_width_percentage : 0.015004
  44. volume_ema_diff : -0.557983
  45. volume_ema1 : 287569.4890544
  46. volume_ema2 : 650585.98383361
  47. regime : bear_medium
    48. ¸
  48. 5m
  49. ema9 : 307.978
  50. ema21 : 307.58
  51. ema50 : 307.447
  52. ema100 : 307.495
  53. price_ema9_diff : 0.00250389
  54. ema9_ema21_diff : 0.0012951
  55. ema21_ema50_diff : 0.000433593
  56. price_ema100_diff : 0.00408039
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0171731
  60. ema_slope_21 : 0.0113014
  61. ema_slope_50 : 0.00371063
  62. ema_slope_100 : 0.0010126
  63. rsi : 0.634058
  64. adx : 0.163206
  65. kc_percentage : 1.00448
  66. kc_width_percentage : 0.00738887
  67. volume_ema_diff : -0.361542
  68. volume_ema1 : 105988.73511036
  69. volume_ema2 : 166007.54759602
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110767
  74. 5m_price_ema100_diff: 
    0.00423948
  75. 5m_price: 
    111236
  76. 5m_correlation_with_coin: 
    0.579922
  77. btc_indicators
  78. 15m_ema100: 
    110675
  79. 15m_price_ema100_diff: 
    0.00506699
  80. 15m_price: 
    111236
  81. 15m_correlation_with_coin: 
    -0.089454
  82. btc_indicators
  83. 1H_ema100: 
    110309
  84. 1H_price_ema100_diff: 
    0.00840238
  85. 1H_price: 
    111236
  86. 1H_correlation_with_coin: 
    0.054244
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
05 Sep 2025
00:03:44		 05 Sep 2025
03:05:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
308.75 309.6477 306.9547 2 114.17
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 308.75
  • Stop Loss: 309.6477
  • Take Profit: 306.9547

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 309.6477 - 308.75 = 0.89769999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 308.75 - 306.9547 = 1.7953

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 1.7953 / 0.89769999999999 = 1.9999

📌 Position Size

Amount Margin Quantity Leverage
2751.587 100 8.912 27.52
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 0.89769999999999

Taille de position = 8 / 0.89769999999999 = 8.91

Taille de position USD = 8.91 x 308.75 = 2750.96

Donc, tu peux acheter 8.91 avec un stoploss a 309.6477

Avec un position size USD de 2750.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8.91 x 0.89769999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8.91 x 1.7953 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8.91
  • Taille de position USD 2750.96
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 1.9999

📌 Peformances

TP % Target TP $ Target
0.58 % 16 $
SL % Target SL $ Target
0.29 % 8 $
PNL PNL %
-8 $ -0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2947 % 101.34 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 306.9547
            [entry_price] => 308.75
            [stop_loss] => 309.73747
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-05 03:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 306.9547
            [entry_price] => 308.75
            [stop_loss] => 309.82724
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-05 03:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 306.9547
            [entry_price] => 308.75
            [stop_loss] => 309.91701
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-05 03:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 306.9547
            [entry_price] => 308.75
            [stop_loss] => 310.09655
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-05 03:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.71
            [max_drawdown] => 0.13999999999999
            [rr_ratio] => 12.21
            [high] => 308.89000000
            [low] => 307.04000000
            [mfe_pct] => 0.55
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 12.21
            [candles_analyzed] => 24
            [start_at] => 2025-09-05T00:03:44-04:00
            [end_at] => 2025-09-05T02:03:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.71
            [max_drawdown] => 3.42
            [rr_ratio] => 0.5
            [high] => 312.17000000
            [low] => 307.04000000
            [mfe_pct] => 0.55
            [mae_pct] => 1.11
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 84
            [start_at] => 2025-09-05T00:03:44-04:00
            [end_at] => 2025-09-05T07:03:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 308.93000000
            [high_after] => 312.17000000
            [low_before] => 305.47000000
            [low_after] => 307.04000000
            [is_new_high] => 
            [is_new_low] => 
        )

)