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Short Trade on AAVE

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Short Trade on AAVE 09 Sep 2025 at 22:04:30

Take profit at 297.5203 (0.57 %) and Stop Loss at 300.0698 (0.28 %)

Short Trade on AAVE

The 09 Sep 2025 at 22:04:30

With 9.4134 AAVE at 299.22$ per unit.

Position size of 2816.6891 $

Take profit at 297.5203 (0.57 %) and Stop Loss at 300.0698 (0.28 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.17
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.57
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.577525

15m : -0.150211

1H : -0.007933

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.5665659054
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 298.723
  4. ema21 : 300.085
  5. ema50 : 301.191
  6. ema100 : 301.472
  7. price_ema9_diff : 0.00166238
  8. ema9_ema21_diff : -0.00453829
  9. ema21_ema50_diff : -0.00367414
  10. price_ema100_diff : -0.00747078
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.151425
  14. ema_slope_21 : -0.108001
  15. ema_slope_50 : -0.050648
  16. ema_slope_100 : -0.0245637
  17. rsi : 0.459904
  18. adx : 0.205353
  19. kc_percentage : 0.417858
  20. kc_width_percentage : 0.0316153
  21. volume_ema_diff : -0.573359
  22. volume_ema1 : 1074794.2023075
  23. volume_ema2 : 2519205.9472381
  24. regime : range_high
    25. ¸
  25. 15m
  26. ema9 : 298.222
  27. ema21 : 298.27
  28. ema50 : 299.25
  29. ema100 : 300.431
  30. price_ema9_diff : 0.00334458
  31. ema9_ema21_diff : -0.000159314
  32. ema21_ema50_diff : -0.00327637
  33. price_ema100_diff : -0.00403385
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0127455
  37. ema_slope_21 : -0.0152893
  38. ema_slope_50 : -0.0221614
  39. ema_slope_100 : -0.0187197
  40. rsi : 0.549402
  41. adx : 0.221851
  42. kc_percentage : 0.727779
  43. kc_width_percentage : 0.0142219
  44. volume_ema_diff : -0.381804
  45. volume_ema1 : 326566.95061453
  46. volume_ema2 : 528257.9982741
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 298.401
  50. ema21 : 298.034
  51. ema50 : 298.028
  52. ema100 : 298.113
  53. price_ema9_diff : 0.00274359
  54. ema9_ema21_diff : 0.00123022
  55. ema21_ema50_diff : 2.13883E-5
  56. price_ema100_diff : 0.00371313
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0374065
  60. ema_slope_21 : 0.0155292
  61. ema_slope_50 : 0.00262409
  62. ema_slope_100 : 0.00017685
  63. rsi : 0.65888
  64. adx : 0.197666
  65. kc_percentage : 1.01696
  66. kc_width_percentage : 0.00758159
  67. volume_ema_diff : 0.156408
  68. volume_ema1 : 141625.91546936
  69. volume_ema2 : 122470.52128315
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    111206
  74. 5m_price_ema100_diff: 
    -0.000209305
  75. 5m_price: 
    111182
  76. 5m_correlation_with_coin: 
    0.577525
  77. btc_indicators
  78. 15m_ema100: 
    111548
  79. 15m_price_ema100_diff: 
    -0.00327511
  80. 15m_price: 
    111182
  81. 15m_correlation_with_coin: 
    -0.150211
  82. btc_indicators
  83. 1H_ema100: 
    111382
  84. 1H_price_ema100_diff: 
    -0.0017973
  85. 1H_price: 
    111182
  86. 1H_correlation_with_coin: 
    -0.007933
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
22:04:30		 09 Sep 2025
22:25:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
299.22 300.0698 297.5203 2 114.46
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 299.22
  • Stop Loss: 300.0698
  • Take Profit: 297.5203

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 300.0698 - 299.22 = 0.84979999999996

  • Récompense (distance jusqu'au take profit):

    E - TP = 299.22 - 297.5203 = 1.6997

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 1.6997 / 0.84979999999996 = 2.0001

📌 Position Size

Amount Margin Quantity Leverage
2816.6891 100 9.4134 28.17
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 0.84979999999996

Taille de position = 8 / 0.84979999999996 = 9.41

Taille de position USD = 9.41 x 299.22 = 2815.66

Donc, tu peux acheter 9.41 avec un stoploss a 300.0698

Avec un position size USD de 2815.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 9.41 x 0.84979999999996 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 9.41 x 1.6997 = 15.99

Si Take Profit atteint, tu gagneras 15.99$

Résumé

  • Taille de position 9.41
  • Taille de position USD 2815.66
  • Perte potentielle 8
  • Gain potentiel 15.99
  • Risk-Reward Ratio 2.0001

📌 Peformances

TP % Target TP $ Target
0.57 % 16 $
SL % Target SL $ Target
0.28 % 8 $
PNL PNL %
-8 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3208 % 112.96 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 297.5203
            [entry_price] => 299.22
            [stop_loss] => 300.15478
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 22:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 297.5203
            [entry_price] => 299.22
            [stop_loss] => 300.23976
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 22:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 297.5203
            [entry_price] => 299.22
            [stop_loss] => 300.32474
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 22:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 297.5203
            [entry_price] => 299.22
            [stop_loss] => 300.4947
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 22:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.79
            [max_drawdown] => 1.52
            [rr_ratio] => 1.18
            [high] => 300.74000000
            [low] => 297.43000000
            [mfe_pct] => 0.6
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 1.18
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T22:04:30-04:00
            [end_at] => 2025-09-10T00:04:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.1
            [max_drawdown] => 1.52
            [rr_ratio] => 2.04
            [high] => 300.74000000
            [low] => 296.12000000
            [mfe_pct] => 1.04
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 2.04
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T22:04:30-04:00
            [end_at] => 2025-09-10T05:04:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 299.33000000
            [high_after] => 300.74000000
            [low_before] => 295.89000000
            [low_after] => 296.12000000
            [is_new_high] => 
            [is_new_low] => 
        )

)