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Short Trade on KERNEL

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Short Trade on KERNEL 01 Sep 2025 at 15:13:23

Take profit at 0.1851 (0.75 %) and Stop Loss at 0.1874 (0.48 %)

Short Trade on KERNEL

The 01 Sep 2025 at 15:13:23

With 8804.3774 KERNEL at 0.1865$ per unit.

Position size of 1642.0164 $

Take profit at 0.1851 (0.75 %) and Stop Loss at 0.1874 (0.48 %)

That's a 1.56 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : 0.37353

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0006057592829
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.186849
  4. ema21 : 0.190402
  5. ema50 : 0.192388
  6. ema100 : 0.192012
  7. price_ema9_diff : -0.00187006
  8. ema9_ema21_diff : -0.0186597
  9. ema21_ema50_diff : -0.0103231
  10. price_ema100_diff : -0.0287101
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.407609
  14. adx : 0.215614
  15. kc_percentage : 0.270822
  16. kc_width_percentage : 0.0863496
  17. volume_ema_diff : -0.577414
  18. volume_ema1 : 138953.68714495
  19. volume_ema2 : 328818.20288789
    20. ¸
  20. 15m
  21. ema9 : 0.185271
  22. ema21 : 0.185652
  23. ema50 : 0.188655
  24. ema100 : 0.192911
  25. price_ema9_diff : 0.00662837
  26. ema9_ema21_diff : -0.00204792
  27. ema21_ema50_diff : -0.0159212
  28. price_ema100_diff : -0.0332359
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.514314
  32. adx : 0.254251
  33. kc_percentage : 0.669146
  34. kc_width_percentage : 0.0295545
  35. volume_ema_diff : -0.728325
  36. volume_ema1 : 18412.461098528
  37. volume_ema2 : 67773.975158677
    38. ¸
  38. 5m
  39. ema9 : 0.186109
  40. ema21 : 0.185296
  41. ema50 : 0.185131
  42. ema100 : 0.186199
  43. price_ema9_diff : 0.0020981
  44. ema9_ema21_diff : 0.00438772
  45. ema21_ema50_diff : 0.000888551
  46. price_ema100_diff : 0.00161329
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.65697
  50. adx : 0.286118
  51. kc_percentage : 1.00211
  52. kc_width_percentage : 0.0123531
  53. volume_ema_diff : -0.602081
  54. volume_ema1 : 5274.0475689075
  55. volume_ema2 : 13254.096816444
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108868
  59. 5m_price_ema100_diff: 
    0.00324496
  60. 5m_price: 
    109221
  61. 5m_correlation_with_coin: 
    0.37353
  62. btc_indicators
  63. 15m_ema100: 
    108759
  64. 15m_price_ema100_diff: 
    0.00425164
  65. 15m_price: 
    109221
  66. btc_indicators
  67. 1H_ema100: 
    109317
  68. 1H_price_ema100_diff: 
    -0.000879611
  69. 1H_price: 
    109221
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
15:13:23		 01 Sep 2025
15:25:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1865 0.1874 0.1851 1.56 0.08606
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 0.1865
  • Stop Loss: 0.1874
  • Take Profit: 0.1851

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1874 - 0.1865 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1865 - 0.1851 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00090000000000001 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
1642.0164 100 8804.3774 16.42
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 0.00090000000000001

Taille de position = 8 / 0.00090000000000001 = 8888.89

Taille de position USD = 8888.89 x 0.1865 = 1657.78

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1874

Avec un position size USD de 1657.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1657.78
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.75 % 12.33 $
SL % Target SL $ Target
0.48 % 7.92 $
PNL PNL %
12.33 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1609 % 33.34 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1847
            [stop_loss] => 0.1874
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 15:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.18425
            [stop_loss] => 0.1874
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 15:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1838
            [stop_loss] => 0.1874
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 15:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.18335
            [stop_loss] => 0.1874
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 15:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1829
            [stop_loss] => 0.1874
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 15:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.18245
            [stop_loss] => 0.1874
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 15:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.182
            [stop_loss] => 0.1874
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 16:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.18155
            [stop_loss] => 0.1874
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 16:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1811
            [stop_loss] => 0.1874
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 16:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.18065
            [stop_loss] => 0.1874
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1802
            [stop_loss] => 0.1874
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0079
            [max_drawdown] => 0.00029999999999999
            [rr_ratio] => 26.33
            [high] => 0.18680000
            [low] => 0.17860000
            [mfe_pct] => 4.24
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 26.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T15:13:23-04:00
            [end_at] => 2025-09-01T17:13:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01
            [max_drawdown] => 0.00029999999999999
            [rr_ratio] => 33.33
            [high] => 0.18680000
            [low] => 0.17650000
            [mfe_pct] => 5.36
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 33.33
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T15:13:23-04:00
            [end_at] => 2025-09-01T22:13:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.18700000
            [high_after] => 0.18680000
            [low_before] => 0.18150000
            [low_after] => 0.17650000
            [is_new_high] => 
            [is_new_low] => 1
        )

)