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Short Trade on AERO

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Short Trade on AERO 22 Sep 2025 at 09:43:02

Take profit at 1.0874 (1.24 %) and Stop Loss at 1.108 (0.63 %)

Short Trade on AERO

The 22 Sep 2025 at 09:43:02

With 1166.16 AERO at 1.1011$ per unit.

Position size of 1284.0588 $

Take profit at 1.0874 (1.24 %) and Stop Loss at 1.108 (0.63 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.64
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.55
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 : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.774372

15m : -0.06602

1H : -0.00843

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.004573414696
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 1.08758
  4. ema21 : 1.10802
  5. ema50 : 1.15379
  6. ema100 : 1.20094
  7. price_ema9_diff : 0.0124229
  8. ema9_ema21_diff : -0.018448
  9. ema21_ema50_diff : -0.0396655
  10. price_ema100_diff : -0.0831392
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.346952
  14. ema_slope_21 : -0.382276
  15. ema_slope_50 : -0.303551
  16. ema_slope_100 : -0.216212
  17. rsi : 0.421797
  18. adx : 0.644176
  19. kc_percentage : 0.440896
  20. kc_width_percentage : 0.0774933
  21. volume_ema_diff : -0.217668
  22. volume_ema1 : 562208.34249851
  23. volume_ema2 : 718632.1559852
  24. chop : 24.8915
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.08934
  28. ema21 : 1.08418
  29. ema50 : 1.09224
  30. ema100 : 1.11285
  31. price_ema9_diff : 0.0107901
  32. ema9_ema21_diff : 0.00476232
  33. ema21_ema50_diff : -0.00737998
  34. price_ema100_diff : -0.0105649
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.110123
  38. ema_slope_21 : 0.0303712
  39. ema_slope_50 : -0.0384511
  40. ema_slope_100 : -0.0595793
  41. rsi : 0.616545
  42. adx : 0.362716
  43. kc_percentage : 0.967658
  44. kc_width_percentage : 0.0327089
  45. volume_ema_diff : -0.692188
  46. volume_ema1 : 69045.28667726
  47. volume_ema2 : 224310.06389744
  48. chop : 45.861
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 1.09747
  52. ema21 : 1.0901
  53. ema50 : 1.08372
  54. ema100 : 1.08435
  55. price_ema9_diff : 0.00330005
  56. ema9_ema21_diff : 0.00676421
  57. ema21_ema50_diff : 0.00588834
  58. price_ema100_diff : 0.0154397
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.149331
  62. ema_slope_21 : 0.109296
  63. ema_slope_50 : 0.0561146
  64. ema_slope_100 : 0.0222852
  65. rsi : 0.698217
  66. adx : 0.36628
  67. kc_percentage : 1.08215
  68. kc_width_percentage : 0.0164315
  69. volume_ema_diff : -0.619594
  70. volume_ema1 : 16765.408253351
  71. volume_ema2 : 44072.407527643
  72. chop : 32.6946
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112912
  77. 5m_price_ema100_diff: 
    -0.00392068
  78. 5m_price: 
    112470
  79. 5m_correlation_with_coin: 
    0.774372
  80. btc_indicators
  81. 15m_ema100: 
    113952
  82. 15m_price_ema100_diff: 
    -0.0105615
  83. 15m_price: 
    112748
  84. 15m_correlation_with_coin: 
    -0.06602
  85. btc_indicators
  86. 1H_ema100: 
    115358
  87. 1H_price_ema100_diff: 
    -0.025042
  88. 1H_price: 
    112470
  89. 1H_correlation_with_coin: 
    -0.00843
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
09:43:02		 22 Sep 2025
09:50:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1011 1.108 1.0874 1.99 0.365
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 1.1011
  • Stop Loss: 1.108
  • Take Profit: 1.0874

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.108 - 1.1011 = 0.0069000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1011 - 1.0874 = 0.0137

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0137 / 0.0069000000000001 = 1.9855

📌 Position Size

Amount Margin Quantity Leverage
1284.0588 100 1166.16 12.84
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 0.0069000000000001

Taille de position = 8 / 0.0069000000000001 = 1159.42

Taille de position USD = 1159.42 x 1.1011 = 1276.64

Donc, tu peux acheter 1159.42 avec un stoploss a 1.108

Avec un position size USD de 1276.64$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1159.42 x 0.0069000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1159.42 x 0.0137 = 15.88

Si Take Profit atteint, tu gagneras 15.88$

Résumé

  • Taille de position 1159.42
  • Taille de position USD 1276.64
  • Perte potentielle 8
  • Gain potentiel 15.88
  • Risk-Reward Ratio 1.9855

📌 Peformances

TP % Target TP $ Target
1.24 % 15.98 $
SL % Target SL $ Target
0.63 % 8.05 $
PNL PNL %
-8.05 $ -0.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7629 % 121.75 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0874
            [entry_price] => 1.1011
            [stop_loss] => 1.10869
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 09:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0874
            [entry_price] => 1.1011
            [stop_loss] => 1.10938
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 09:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0874
            [entry_price] => 1.1011
            [stop_loss] => 1.11007
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 09:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0874
            [entry_price] => 1.1011
            [stop_loss] => 1.11145
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 09:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.027
            [rr_ratio] => 0.07
            [high] => 1.12810000
            [low] => 1.09930000
            [mfe_pct] => 0.16
            [mae_pct] => 2.45
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T09:43:02-04:00
            [end_at] => 2025-09-22T11:43:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0263
            [max_drawdown] => 0.027
            [rr_ratio] => 0.97
            [high] => 1.12810000
            [low] => 1.07480000
            [mfe_pct] => 2.39
            [mae_pct] => 2.45
            [mfe_mae_ratio] => 0.97
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T09:43:02-04:00
            [end_at] => 2025-09-22T16:43:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.10480000
            [high_after] => 1.12810000
            [low_before] => 1.06310000
            [low_after] => 1.07930000
            [is_new_high] => 
            [is_new_low] => 
        )

)