Short Trade on AERO 22 Sep 2025 at 00:31:35

Take profit at 1.0863 (1.14 %) and Stop Loss at 1.105 (0.56 %)

Short Trade on AERO

The 22 Sep 2025 at 00:31:35

With 1281.8368 AERO at 1.0988$ per unit.

Position size of 1408.4822 $

Take profit at 1.0863 (1.14 %) and Stop Loss at 1.105 (0.56 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 10
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.51
Prediction 2 Probability
1 0.61
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bear_low_confirmed

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_medium

BTC Correlation Score

5m : 0.617274

15m : 0.094668

1H : -0.131458

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.004160696228
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 1.11279
  4. ema21 : 1.14328
  5. ema50 : 1.18528
  6. ema100 : 1.22552
  7. price_ema9_diff : -0.0125778
  8. ema9_ema21_diff : -0.0266681
  9. ema21_ema50_diff : -0.035433
  10. price_ema100_diff : -0.103403
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.498338
  14. ema_slope_21 : -0.372747
  15. ema_slope_50 : -0.258004
  16. ema_slope_100 : -0.179753
  17. rsi : 0.261123
  18. adx : 0.658206
  19. kc_percentage : -0.131437
  20. kc_width_percentage : 0.0611921
  21. volume_ema_diff : 0.353594
  22. volume_ema1 : 689834.98752709
  23. volume_ema2 : 509632.05681985
  24. chop : 17.213
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.09284
  29. ema21 : 1.10208
  30. ema50 : 1.12629
  31. ema100 : 1.15094
  32. price_ema9_diff : 0.00544745
  33. ema9_ema21_diff : -0.0083816
  34. ema21_ema50_diff : -0.0214989
  35. price_ema100_diff : -0.0453027
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.153485
  39. ema_slope_21 : -0.192584
  40. ema_slope_50 : -0.164664
  41. ema_slope_100 : -0.119265
  42. rsi : 0.42709
  43. adx : 0.581426
  44. kc_percentage : 0.427964
  45. kc_width_percentage : 0.0294535
  46. volume_ema_diff : -0.581203
  47. volume_ema1 : 80598.420613776
  48. volume_ema2 : 192452.4834632
  49. chop : 47.2368
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 1.09285
  54. ema21 : 1.09058
  55. ema50 : 1.09728
  56. ema100 : 1.11078
  57. price_ema9_diff : 0.00544402
  58. ema9_ema21_diff : 0.00207431
  59. ema21_ema50_diff : -0.00609852
  60. price_ema100_diff : -0.0107884
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0633777
  64. ema_slope_21 : 0.0182482
  65. ema_slope_50 : -0.0300829
  66. ema_slope_100 : -0.0410691
  67. rsi : 0.636767
  68. adx : 0.294282
  69. kc_percentage : 1.02783
  70. kc_width_percentage : 0.0141841
  71. volume_ema_diff : -0.589738
  72. volume_ema1 : 26171.856685408
  73. volume_ema2 : 63793.057245034
  74. chop : 47.8758
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    114758
  80. 5m_price_ema100_diff:
    -0.00263809
  81. 5m_price:
    114456
  82. 5m_correlation_with_coin:
    0.617274
  83. btc_indicators
  84. 15m_ema100:
    115165
  85. 15m_price_ema100_diff:
    -0.00615696
  86. 15m_price:
    114456
  87. 15m_correlation_with_coin:
    0.094668
  88. btc_indicators
  89. 1H_ema100:
    115809
  90. 1H_price_ema100_diff:
    -0.0116894
  91. 1H_price:
    114456
  92. 1H_correlation_with_coin:
    -0.131458
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
00:31:35
22 Sep 2025
00:35:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0988 1.105 1.0863 2.02 0.3567
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 1.0988
  • Stop Loss: 1.105
  • Take Profit: 1.0863

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.105 - 1.0988 = 0.0062

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0988 - 1.0863 = 0.0125

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0125 / 0.0062 = 2.0161

📌 Position Size

Amount Margin Quantity Leverage
1408.4822 100 1281.8368 14.08
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 0.0062

Taille de position = 8 / 0.0062 = 1290.32

Taille de position USD = 1290.32 x 1.0988 = 1417.8

Donc, tu peux acheter 1290.32 avec un stoploss a 1.105

Avec un position size USD de 1417.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1290.32 x 0.0062 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1290.32 x 0.0125 = 16.13

Si Take Profit atteint, tu gagneras 16.13$

Résumé

  • Taille de position 1290.32
  • Taille de position USD 1417.8
  • Perte potentielle 8
  • Gain potentiel 16.13
  • Risk-Reward Ratio 2.0161

📌 Peformances

TP % Target TP $ Target
1.14 % 16.02 $
SL % Target SL $ Target
0.56 % 7.95 $
PNL PNL %
-7.95 $ -0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.628 % 111.29 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0863
            [entry_price] => 1.0988
            [stop_loss] => 1.10562
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 00:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0863
            [entry_price] => 1.0988
            [stop_loss] => 1.10624
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 01:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0863
            [entry_price] => 1.0988
            [stop_loss] => 1.10686
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 01:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0863
            [entry_price] => 1.0988
            [stop_loss] => 1.1081
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 01:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0945
            [max_drawdown] => 0.0093000000000001
            [rr_ratio] => 10.16
            [high] => 1.10810000
            [low] => 1.00430000
            [mfe_pct] => 8.6
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 10.16
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T00:31:35-04:00
            [end_at] => 2025-09-22T02:31:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0945
            [max_drawdown] => 0.0093000000000001
            [rr_ratio] => 10.16
            [high] => 1.10810000
            [low] => 1.00430000
            [mfe_pct] => 8.6
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 10.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T00:31:35-04:00
            [end_at] => 2025-09-22T07:31:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.11130000
            [high_after] => 1.10810000
            [low_before] => 1.07220000
            [low_after] => 1.00430000
            [is_new_high] => 
            [is_new_low] => 1
        )

)