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Short Trade on AAVE

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Short Trade on AAVE 22 Sep 2025 at 09:18:50

Take profit at 266.4 (0.86 %) and Stop Loss at 269.88 (0.43 %)

Short Trade on AAVE

The 22 Sep 2025 at 09:18:50

With 6.8965 AAVE at 268.72$ per unit.

Position size of 1853.2276 $

Take profit at 266.4 (0.86 %) and Stop Loss at 269.88 (0.43 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.24
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.62
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low
BTC Correlation Score

5m : 0.768615

15m : -0.08285

1H : 0.084134

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.7733390778
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 269.921
  4. ema21 : 277.836
  5. ema50 : 287.185
  6. ema100 : 293.926
  7. price_ema9_diff : -0.00445052
  8. ema9_ema21_diff : -0.0284896
  9. ema21_ema50_diff : -0.0325522
  10. price_ema100_diff : -0.085759
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.651985
  14. ema_slope_21 : -0.481656
  15. ema_slope_50 : -0.281599
  16. ema_slope_100 : -0.170506
  17. rsi : 0.287922
  18. adx : 0.615969
  19. kc_percentage : 0.0360512
  20. kc_width_percentage : 0.0688646
  21. volume_ema_diff : -0.177875
  22. volume_ema1 : 3267125.5830695
  23. volume_ema2 : 3974003.6207994
  24. chop : 5.27839
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 267.124
  28. ema21 : 267.542
  29. ema50 : 273.113
  30. ema100 : 280.309
  31. price_ema9_diff : 0.00597164
  32. ema9_ema21_diff : -0.00156129
  33. ema21_ema50_diff : -0.020397
  34. price_ema100_diff : -0.0413463
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0497996
  38. ema_slope_21 : -0.0492077
  39. ema_slope_50 : -0.120813
  40. ema_slope_100 : -0.109757
  41. rsi : 0.507564
  42. adx : 0.592386
  43. kc_percentage : 0.690101
  44. kc_width_percentage : 0.0255906
  45. volume_ema_diff : -0.778347
  46. volume_ema1 : 332977.25482179
  47. volume_ema2 : 1502247.5552933
  48. chop : 60.3312
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 267.579
  52. ema21 : 266.881
  53. ema50 : 266.764
  54. ema100 : 269.056
  55. price_ema9_diff : 0.00426336
  56. ema9_ema21_diff : 0.00261442
  57. ema21_ema50_diff : 0.00044033
  58. price_ema100_diff : -0.00124999
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0530211
  62. ema_slope_21 : 0.0383609
  63. ema_slope_50 : 0.0113267
  64. ema_slope_100 : -0.014586
  65. rsi : 0.672494
  66. adx : 0.230123
  67. kc_percentage : 1.07747
  68. kc_width_percentage : 0.0115819
  69. volume_ema_diff : -0.232986
  70. volume_ema1 : 212061.13118967
  71. volume_ema2 : 276476.39163739
  72. chop : 36.0837
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112915
  77. 5m_price_ema100_diff: 
    -0.000714803
  78. 5m_price: 
    112834
  79. 5m_correlation_with_coin: 
    0.768615
  80. btc_indicators
  81. 15m_ema100: 
    113983
  82. 15m_price_ema100_diff: 
    -0.0100781
  83. 15m_price: 
    112834
  84. 15m_correlation_with_coin: 
    -0.08285
  85. btc_indicators
  86. 1H_ema100: 
    115366
  87. 1H_price_ema100_diff: 
    -0.0219426
  88. 1H_price: 
    112834
  89. 1H_correlation_with_coin: 
    0.084134
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
09:18:50		 22 Sep 2025
09:55:00		 36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
268.72 269.88 266.4 2 114.32
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 268.72
  • Stop Loss: 269.88
  • Take Profit: 266.4

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 269.88 - 268.72 = 1.16

  • Récompense (distance jusqu'au take profit):

    E - TP = 268.72 - 266.4 = 2.3200000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 2.3200000000001 / 1.16 = 2

📌 Position Size

Amount Margin Quantity Leverage
1853.2276 100 6.8965 18.53
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 1.16

Taille de position = 8 / 1.16 = 6.9

Taille de position USD = 6.9 x 268.72 = 1854.17

Donc, tu peux acheter 6.9 avec un stoploss a 269.88

Avec un position size USD de 1854.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6.9 x 1.16 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6.9 x 2.3200000000001 = 16.01

Si Take Profit atteint, tu gagneras 16.01$

Résumé

  • Taille de position 6.9
  • Taille de position USD 1854.17
  • Perte potentielle 8
  • Gain potentiel 16.01
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.86 % 16 $
SL % Target SL $ Target
0.43 % 8 $
PNL PNL %
-8 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6029 % 139.66 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 266.4
            [entry_price] => 268.72
            [stop_loss] => 269.996
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 09:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 266.4
            [entry_price] => 268.72
            [stop_loss] => 270.112
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 09:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 266.4
            [entry_price] => 268.72
            [stop_loss] => 270.228
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 09:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 266.4
            [entry_price] => 268.72
            [stop_loss] => 270.46
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 10:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.47
            [max_drawdown] => 1.89
            [rr_ratio] => 1.84
            [high] => 270.61000000
            [low] => 265.25000000
            [mfe_pct] => 1.29
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 1.84
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T09:18:50-04:00
            [end_at] => 2025-09-22T11:18:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.58
            [max_drawdown] => 1.89
            [rr_ratio] => 2.95
            [high] => 270.61000000
            [low] => 263.14000000
            [mfe_pct] => 2.08
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 2.95
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T09:18:50-04:00
            [end_at] => 2025-09-22T16:18:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 269.40000000
            [high_after] => 270.61000000
            [low_before] => 262.10000000
            [low_after] => 264.19000000
            [is_new_high] => 
            [is_new_low] => 
        )

)