Short Trade on AERO 25 Sep 2025 at 21:06:30

Take profit at 0.9919 (1.55 %) and Stop Loss at 1.0153 (0.77 %)

Short Trade on AERO

The 25 Sep 2025 at 21:06:30

With 1022.5295 AERO at 1.0075$ per unit.

Position size of 1030.1985 $

Take profit at 0.9919 (1.55 %) and Stop Loss at 1.0153 (0.77 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.95
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.735645

15m : -0.117496

1H : 0.032341

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.00521582353
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.998103
  4. ema21 : 1.01219
  5. ema50 : 1.04334
  6. ema100 : 1.07162
  7. price_ema9_diff : 0.00941423
  8. ema9_ema21_diff : -0.0139223
  9. ema21_ema50_diff : -0.0298587
  10. price_ema100_diff : -0.0598419
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.23469
  14. ema_slope_21 : -0.270096
  15. ema_slope_50 : -0.221024
  16. ema_slope_100 : -0.153185
  17. rsi : 0.447969
  18. adx : 0.456771
  19. kc_percentage : 0.452985
  20. kc_width_percentage : 0.0710363
  21. volume_ema_diff : -0.279813
  22. volume_ema1 : 467978.93463348
  23. volume_ema2 : 649802.22379959
  24. chop : 45.3919
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.995089
  29. ema21 : 0.992558
  30. ema50 : 1.00035
  31. ema100 : 1.01551
  32. price_ema9_diff : 0.0124717
  33. ema9_ema21_diff : 0.00254989
  34. ema21_ema50_diff : -0.0077954
  35. price_ema100_diff : -0.00789059
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0735526
  39. ema_slope_21 : 0.00725343
  40. ema_slope_50 : -0.0435808
  41. ema_slope_100 : -0.0532537
  42. rsi : 0.589419
  43. adx : 0.172626
  44. kc_percentage : 0.887713
  45. kc_width_percentage : 0.0384159
  46. volume_ema_diff : -0.190554
  47. volume_ema1 : 143644.70114983
  48. volume_ema2 : 177460.66740884
  49. chop : 46.7823
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.999113
  54. ema21 : 0.994018
  55. ema50 : 0.990819
  56. ema100 : 0.992522
  57. price_ema9_diff : 0.00839423
  58. ema9_ema21_diff : 0.00512533
  59. ema21_ema50_diff : 0.00322829
  60. price_ema100_diff : 0.0150899
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.114925
  64. ema_slope_21 : 0.0735334
  65. ema_slope_50 : 0.0335605
  66. ema_slope_100 : 0.010205
  67. rsi : 0.667536
  68. adx : 0.203471
  69. kc_percentage : 1.10808
  70. kc_width_percentage : 0.0215619
  71. volume_ema_diff : -0.0667729
  72. volume_ema1 : 49113.759742783
  73. volume_ema2 : 52627.880393441
  74. chop : 34.1083
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109522
  80. 5m_price_ema100_diff:
    -0.000484323
  81. 5m_price:
    109469
  82. 5m_correlation_with_coin:
    0.735645
  83. btc_indicators
  84. 15m_ema100:
    110709
  85. 15m_price_ema100_diff:
    -0.0111968
  86. 15m_price:
    109469
  87. 15m_correlation_with_coin:
    -0.117496
  88. btc_indicators
  89. 1H_ema100:
    112327
  90. 1H_price_ema100_diff:
    -0.025444
  91. 1H_price:
    109469
  92. 1H_correlation_with_coin:
    0.032341
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
21:06:30
25 Sep 2025
21:20:00
13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0075 1.0153 0.9919 2 0.3674
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 1.0075
  • Stop Loss: 1.0153
  • Take Profit: 0.9919

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0153 - 1.0075 = 0.0078

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0075 - 0.9919 = 0.0156

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0156 / 0.0078 = 2

📌 Position Size

Amount Margin Quantity Leverage
1030.1985 100 1022.5295 10.30
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 0.0078

Taille de position = 8 / 0.0078 = 1025.64

Taille de position USD = 1025.64 x 1.0075 = 1033.33

Donc, tu peux acheter 1025.64 avec un stoploss a 1.0153

Avec un position size USD de 1033.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1025.64 x 0.0078 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1025.64 x 0.0156 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1025.64
  • Taille de position USD 1033.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.55 % 15.95 $
SL % Target SL $ Target
0.77 % 7.98 $
PNL PNL %
-7.98 $ -0.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8933 % 115.38 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.9919
            [entry_price] => 1.0075
            [stop_loss] => 1.01608
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-25 21:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.9919
            [entry_price] => 1.0075
            [stop_loss] => 1.01686
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-25 21:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.9919
            [entry_price] => 1.0075
            [stop_loss] => 1.01764
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-25 21:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.9919
            [entry_price] => 1.0075
            [stop_loss] => 1.0192
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-25 21:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0047000000000001
            [max_drawdown] => 0.0132
            [rr_ratio] => 0.36
            [high] => 1.02070000
            [low] => 1.00280000
            [mfe_pct] => 0.47
            [mae_pct] => 1.31
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T21:06:30-04:00
            [end_at] => 2025-09-25T23:06:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0145
            [max_drawdown] => 0.0132
            [rr_ratio] => 1.1
            [high] => 1.02070000
            [low] => 0.99300000
            [mfe_pct] => 1.44
            [mae_pct] => 1.31
            [mfe_mae_ratio] => 1.1
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T21:06:30-04:00
            [end_at] => 2025-09-26T04:06:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.01010000
            [high_after] => 1.02070000
            [low_before] => 0.97340000
            [low_after] => 0.99630000
            [is_new_high] => 
            [is_new_low] => 
        )

)