Short Trade on AERO 25 Sep 2025 at 10:18:35

Take profit at 1.015 (1.57 %) and Stop Loss at 1.0393 (0.79 %)

Short Trade on AERO

The 25 Sep 2025 at 10:18:35

With 986.9922 AERO at 1.0312$ per unit.

Position size of 1017.7864 $

Take profit at 1.015 (1.57 %) and Stop Loss at 1.0393 (0.79 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.5
Prediction 3 Probability
1 0.54
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.777142

15m : 0.009047

1H : -0.068844

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.005403622367
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 1.02786
  4. ema21 : 1.04475
  5. ema50 : 1.0712
  6. ema100 : 1.09696
  7. price_ema9_diff : 0.00324736
  8. ema9_ema21_diff : -0.0161674
  9. ema21_ema50_diff : -0.0246974
  10. price_ema100_diff : -0.0599558
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.341705
  14. ema_slope_21 : -0.300036
  15. ema_slope_50 : -0.203671
  16. ema_slope_100 : -0.139513
  17. rsi : 0.376444
  18. adx : 0.436311
  19. kc_percentage : 0.30349
  20. kc_width_percentage : 0.0604553
  21. volume_ema_diff : -0.0122175
  22. volume_ema1 : 552601.71307279
  23. volume_ema2 : 559436.6735919
  24. chop : 41.5897
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.02144
  29. ema21 : 1.02365
  30. ema50 : 1.03446
  31. ema100 : 1.05074
  32. price_ema9_diff : 0.00955473
  33. ema9_ema21_diff : -0.00216786
  34. ema21_ema50_diff : -0.0104462
  35. price_ema100_diff : -0.0185987
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0722891
  39. ema_slope_21 : -0.075027
  40. ema_slope_50 : -0.0768781
  41. ema_slope_100 : -0.0683797
  42. rsi : 0.538074
  43. adx : 0.307388
  44. kc_percentage : 0.71066
  45. kc_width_percentage : 0.0360854
  46. volume_ema_diff : -0.286718
  47. volume_ema1 : 102317.62215001
  48. volume_ema2 : 143446.41756793
  49. chop : 47.7995
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 1.02167
  54. ema21 : 1.01955
  55. ema50 : 1.02166
  56. ema100 : 1.02476
  57. price_ema9_diff : 0.00932136
  58. ema9_ema21_diff : 0.00207942
  59. ema21_ema50_diff : -0.00206315
  60. price_ema100_diff : 0.00628397
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0535809
  64. ema_slope_21 : 0.0141887
  65. ema_slope_50 : -0.00967368
  66. ema_slope_100 : -0.0114879
  67. rsi : 0.629839
  68. adx : 0.283822
  69. kc_percentage : 1.0348
  70. kc_width_percentage : 0.0210887
  71. volume_ema_diff : -0.44775
  72. volume_ema1 : 32764.54046861
  73. volume_ema2 : 59329.192190665
  74. chop : 41.3609
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111464
  80. 5m_price_ema100_diff:
    0.00165921
  81. 5m_price:
    111649
  82. 5m_correlation_with_coin:
    0.777142
  83. btc_indicators
  84. 15m_ema100:
    112231
  85. 15m_price_ema100_diff:
    -0.00519223
  86. 15m_price:
    111649
  87. 15m_correlation_with_coin:
    0.009047
  88. btc_indicators
  89. 1H_ema100:
    113011
  90. 1H_price_ema100_diff:
    -0.0120584
  91. 1H_price:
    111649
  92. 1H_correlation_with_coin:
    -0.068844
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
10:18:35
25 Sep 2025
12:45:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0312 1.0393 1.015 2 0.3385
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 1.0312
  • Stop Loss: 1.0393
  • Take Profit: 1.015

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0393 - 1.0312 = 0.0081

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0312 - 1.015 = 0.0162

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0162 / 0.0081 = 2

📌 Position Size

Amount Margin Quantity Leverage
1017.7864 100 986.9922 10.18
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 0.0081

Taille de position = 8 / 0.0081 = 987.65

Taille de position USD = 987.65 x 1.0312 = 1018.46

Donc, tu peux acheter 987.65 avec un stoploss a 1.0393

Avec un position size USD de 1018.46$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 987.65 x 0.0081 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 987.65 x 0.0162 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 987.65
  • Taille de position USD 1018.46
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.57 % 15.99 $
SL % Target SL $ Target
0.79 % 7.99 $
PNL PNL %
15.99 $ 1.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1843 % 23.46 % 9

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 1.015
            [stop_loss] => 1.0393
            [rr_ratio] => 2
            [closed_at] => 2025-09-25 12:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.01095
            [stop_loss] => 1.0393
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-25 12:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.0069
            [stop_loss] => 1.0393
            [rr_ratio] => 3
            [closed_at] => 2025-09-25 13:05:00
            [result] => win
        )

    [3.5] => Array
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            [take_profit] => 1.00285
            [stop_loss] => 1.0393
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-25 13:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.9988
            [stop_loss] => 1.0393
            [rr_ratio] => 4
            [closed_at] => 2025-09-25 13:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.99475
            [stop_loss] => 1.0393
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-25 13:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.9907
            [stop_loss] => 1.0393
            [rr_ratio] => 5
            [closed_at] => 2025-09-25 13:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.98665
            [stop_loss] => 1.0393
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-25 13:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.9826
            [stop_loss] => 1.0393
            [rr_ratio] => 6
            [closed_at] => 2025-09-25 13:55:00
            [result] => win
        )

    [6.5] => Array
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            [take_profit] => 0.97855
            [stop_loss] => 1.0393
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-25 13:55:00
            [result] => win
        )

    [7] => Array
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            [take_profit] => 0.9745
            [stop_loss] => 1.0393
            [rr_ratio] => 7
            [closed_at] => 2025-09-25 13:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.0138
            [max_drawdown] => 0.0019
            [rr_ratio] => 7.26
            [high] => 1.03310000
            [low] => 1.01740000
            [mfe_pct] => 1.34
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 7.26
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T10:18:35-04:00
            [end_at] => 2025-09-25T12:18:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0708
            [max_drawdown] => 0.0019
            [rr_ratio] => 37.26
            [high] => 1.03310000
            [low] => 0.96040000
            [mfe_pct] => 6.87
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 37.26
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T10:18:35-04:00
            [end_at] => 2025-09-25T17:18:35-04:00
        )

    [breakout] => Array
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            [high_before] => 1.04040000
            [high_after] => 1.03310000
            [low_before] => 1.00200000
            [low_after] => 0.96040000
            [is_new_high] => 
            [is_new_low] => 1
        )

)