Short Trade on AERO 27 Sep 2025 at 18:08:26

Take profit at 1.0079 (0.48 %) and Stop Loss at 1.0153 (0.25 %)

Short Trade on AERO

The 27 Sep 2025 at 18:08:26

With 3258.7082 AERO at 1.0128$ per unit.

Position size of 3300.4196 $

Take profit at 1.0079 (0.48 %) and Stop Loss at 1.0153 (0.25 %)

That's a 1.96 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.46
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.5
Prediction 3 Probability
0 0.81
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.657208

15m : -0.028933

1H : 0.049343

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.3
  4. atr: 0.001636640365
Details
  1. score: 1.3
  2. 1H
  3. ema9 : 1.00887
  4. ema21 : 1.01461
  5. ema50 : 1.02284
  6. ema100 : 1.03814
  7. price_ema9_diff : 0.00389351
  8. ema9_ema21_diff : -0.00565713
  9. ema21_ema50_diff : -0.00804631
  10. price_ema100_diff : -0.0244106
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.145369
  14. ema_slope_21 : -0.121071
  15. ema_slope_50 : -0.074724
  16. ema_slope_100 : -0.0652865
  17. rsi : 0.466768
  18. adx : 0.262797
  19. kc_percentage : 0.45656
  20. kc_width_percentage : 0.0325744
  21. volume_ema_diff : -0.495089
  22. volume_ema1 : 192955.22527668
  23. volume_ema2 : 382157.35417893
  24. chop : 62.8223
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.00749
  29. ema21 : 1.00635
  30. ema50 : 1.0108
  31. ema100 : 1.02013
  32. price_ema9_diff : 0.00526983
  33. ema9_ema21_diff : 0.00112813
  34. ema21_ema50_diff : -0.00439849
  35. price_ema100_diff : -0.0071868
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0347569
  39. ema_slope_21 : -0.000863175
  40. ema_slope_50 : -0.0261908
  41. ema_slope_100 : -0.0325428
  42. rsi : 0.642608
  43. adx : 0.29679
  44. kc_percentage : 0.987994
  45. kc_width_percentage : 0.0131136
  46. volume_ema_diff : -0.545734
  47. volume_ema1 : 31824.739990766
  48. volume_ema2 : 70057.571206454
  49. chop : 35.1291
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 1.01027
  54. ema21 : 1.00749
  55. ema50 : 1.00574
  56. ema100 : 1.0064
  57. price_ema9_diff : 0.0024963
  58. ema9_ema21_diff : 0.00276599
  59. ema21_ema50_diff : 0.00173666
  60. price_ema100_diff : 0.00635182
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0678958
  64. ema_slope_21 : 0.0434886
  65. ema_slope_50 : 0.0189079
  66. ema_slope_100 : 0.00639098
  67. rsi : 0.706239
  68. adx : 0.301313
  69. kc_percentage : 1.30477
  70. kc_width_percentage : 0.00631828
  71. volume_ema_diff : -0.618669
  72. volume_ema1 : 8397.7437368186
  73. volume_ema2 : 22022.208492149
  74. chop : 24.8505
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109338
  80. 5m_price_ema100_diff:
    0.000946808
  81. 5m_price:
    109442
  82. 5m_correlation_with_coin:
    0.657208
  83. btc_indicators
  84. 15m_ema100:
    109360
  85. 15m_price_ema100_diff:
    0.000748427
  86. 15m_price:
    109442
  87. 15m_correlation_with_coin:
    -0.028933
  88. btc_indicators
  89. 1H_ema100:
    110263
  90. 1H_price_ema100_diff:
    -0.00744896
  91. 1H_price:
    109442
  92. 1H_correlation_with_coin:
    0.049343
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Sep 2025
18:08:26
27 Sep 2025
18:15:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0128 1.0153 1.0079 1.96 0.3447
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 1.0128
  • Stop Loss: 1.0153
  • Take Profit: 1.0079

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0153 - 1.0128 = 0.0025000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0128 - 1.0079 = 0.0048999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0048999999999999 / 0.0025000000000002 = 1.96

📌 Position Size

Amount Margin Quantity Leverage
3300.4196 100 3258.7082 33.00
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 0.0025000000000002

Taille de position = 8 / 0.0025000000000002 = 3200

Taille de position USD = 3200 x 1.0128 = 3240.96

Donc, tu peux acheter 3200 avec un stoploss a 1.0153

Avec un position size USD de 3240.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3200 x 0.0025000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3200 x 0.0048999999999999 = 15.68

Si Take Profit atteint, tu gagneras 15.68$

Résumé

  • Taille de position 3200
  • Taille de position USD 3240.96
  • Perte potentielle 8
  • Gain potentiel 15.68
  • Risk-Reward Ratio 1.96

📌 Peformances

TP % Target TP $ Target
0.48 % 15.97 $
SL % Target SL $ Target
0.25 % 8.15 $
PNL PNL %
-8.15 $ -0.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3456 % 140.03 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0079
            [entry_price] => 1.0128
            [stop_loss] => 1.01555
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0079
            [entry_price] => 1.0128
            [stop_loss] => 1.0158
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0079
            [entry_price] => 1.0128
            [stop_loss] => 1.01605
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0079
            [entry_price] => 1.0128
            [stop_loss] => 1.01655
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-27 18:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0078
            [max_drawdown] => 0.0054000000000001
            [rr_ratio] => 1.44
            [high] => 1.01820000
            [low] => 1.00500000
            [mfe_pct] => 0.77
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 1.44
            [candles_analyzed] => 24
            [start_at] => 2025-09-27T18:08:26-04:00
            [end_at] => 2025-09-27T20:08:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0094999999999998
            [max_drawdown] => 0.0184
            [rr_ratio] => 0.52
            [high] => 1.03120000
            [low] => 1.00330000
            [mfe_pct] => 0.94
            [mae_pct] => 1.82
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 84
            [start_at] => 2025-09-27T18:08:26-04:00
            [end_at] => 2025-09-28T01:08:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.01330000
            [high_after] => 1.03120000
            [low_before] => 0.99450000
            [low_after] => 1.00330000
            [is_new_high] => 
            [is_new_low] => 
        )

)