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Short Trade on AERO

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Short Trade on AERO 03 Jul 2025 at 16:45:47

Take profit at 0.7774 (0.45 %) and Stop Loss at 0.7833 (0.31 %)

Short Trade on AERO

The 03 Jul 2025 at 16:45:47

With 3389.5351 AERO at 0.7809$ per unit.

Position size of 2646.8879 $

Take profit at 0.7774 (0.45 %) and Stop Loss at 0.7833 (0.31 %)

That's a 1.46 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 60
ML Pullback Score: 6.7
Prediction Score: 2.9694
Prediction 1 Probability
Strong Trade
0.58
Prediction 2 Probability
2 0.36
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.802844

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.001573470476
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.779082
  4. ema21 : 0.783286
  5. ema50 : 0.784976
  6. ema100 : 0.786216
  7. price_ema9_diff : 0.00233258
  8. ema9_ema21_diff : -0.0053664
  9. ema21_ema50_diff : -0.00215345
  10. price_ema100_diff : -0.00676217
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.478842
  14. kc_percentage : 0.449858
  15. kc_width_percentage : 0.0564001
  16. volume_ema_diff : -0.257764
  17. volume_ema1 : 166163.43885386
  18. volume_ema2 : 223869.02834409
    19. ¸
  19. 15m
  20. ema9 : 0.778066
  21. ema21 : 0.777179
  22. ema50 : 0.781047
  23. ema100 : 0.786665
  24. price_ema9_diff : 0.00364211
  25. ema9_ema21_diff : 0.00114109
  26. ema21_ema50_diff : -0.00495197
  27. price_ema100_diff : -0.00732877
  28. all_emas_in_trend : False
  29. all_emas_and_price_in_trend : False
  30. rsi : 0.56567
  31. kc_percentage : 0.774852
  32. kc_width_percentage : 0.0176012
  33. volume_ema_diff : -0.421675
  34. volume_ema1 : 31565.163298329
  35. volume_ema2 : 54580.34963198
    36. ¸
  36. 5m
  37. ema9 : 0.779303
  38. ema21 : 0.777682
  39. ema50 : 0.776262
  40. ema100 : 0.777072
  41. price_ema9_diff : 0.00204916
  42. ema9_ema21_diff : 0.00208414
  43. ema21_ema50_diff : 0.00182869
  44. price_ema100_diff : 0.00492509
  45. all_emas_in_trend : True
  46. all_emas_and_price_in_trend : True
  47. rsi : 0.67419
  48. kc_percentage : 1.03549
  49. kc_width_percentage : 0.00744312
  50. volume_ema_diff : -0.416164
  51. volume_ema1 : 9309.7781833431
  52. volume_ema2 : 15945.896555168
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 
    109546
  56. 5m_price_ema100_diff: 
    0.00279247
  57. 5m_price: 
    109852
  58. 5m_correlation_with_coin: 
    0.802844
  59. btc_indicators
  60. 15m_ema100: 
    109440
  61. 15m_price_ema100_diff: 
    0.0037618
  62. 15m_price: 
    109852
  63. btc_indicators
  64. 1H_ema100: 
    108081
  65. 1H_price_ema100_diff: 
    0.0163854
  66. 1H_price: 
    109852
    67. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
03 Jul 2025
16:45:47		 03 Jul 2025
17:15:00		 29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7809 0.7833 0.7774 1.46 0.3602
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 0.7809
  • Stop Loss: 0.7833
  • Take Profit: 0.7774

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7833 - 0.7809 = 0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7809 - 0.7774 = 0.0035000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0035000000000001 / 0.0024 = 1.4583

📌 Position Size

Amount Margin Quantity Leverage
2646.8879 100 3389.5351 26.47
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 0.0024

Taille de position = 8 / 0.0024 = 3333.33

Taille de position USD = 3333.33 x 0.7809 = 2603

Donc, tu peux acheter 3333.33 avec un stoploss a 0.7833

Avec un position size USD de 2603$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3333.33 x 0.0024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3333.33 x 0.0035000000000001 = 11.67

Si Take Profit atteint, tu gagneras 11.67$

Résumé

  • Taille de position 3333.33
  • Taille de position USD 2603
  • Perte potentielle 8
  • Gain potentiel 11.67
  • Risk-Reward Ratio 1.4583

📌 Peformances

TP % Target TP $ Target
0.45 % 11.86 $
SL % Target SL $ Target
0.31 % 8.13 $
PNL PNL %
11.86 $ 0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2049 % 66.68 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7761
            [stop_loss] => 0.7833
            [rr_ratio] => 2
            [closed_at] => 2025-07-03 17:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.7749
            [stop_loss] => 0.7833
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-03 17:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.7737
            [stop_loss] => 0.7833
            [rr_ratio] => 3
            [closed_at] => 2025-07-03 17:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.7725
            [stop_loss] => 0.7833
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-03 18:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.7713
            [stop_loss] => 0.7833
            [rr_ratio] => 4
            [closed_at] => 2025-07-03 18:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.7701
            [stop_loss] => 0.7833
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-03 18:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.7689
            [stop_loss] => 0.7833
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 18:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.7677
            [stop_loss] => 0.7833
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 18:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.7665
            [stop_loss] => 0.7833
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 18:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.7653
            [stop_loss] => 0.7833
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 18:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.7641
            [stop_loss] => 0.7833
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 18:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0072
            [max_drawdown] => 0.0031
            [rr_ratio] => 2.32
            [high] => 0.78400000
            [low] => 0.77370000
            [mfe_pct] => 0.92
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 2.32
            [candles_analyzed] => 24
            [start_at] => 2025-07-03T16:45:47-04:00
            [end_at] => 2025-07-03T18:45:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0147
            [max_drawdown] => 0.0031
            [rr_ratio] => 4.74
            [high] => 0.78400000
            [low] => 0.76620000
            [mfe_pct] => 1.88
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 4.74
            [candles_analyzed] => 72
            [start_at] => 2025-07-03T16:45:47-04:00
            [end_at] => 2025-07-03T22:45:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.78130000
            [high_after] => 0.78400000
            [low_before] => 0.76860000
            [low_after] => 0.76620000
            [is_new_high] => 
            [is_new_low] => 1
        )

)