Long Trade on KERNEL 10 Jul 2025 at 04:29:28

Take profit at 0.1195 (3.46 %) and Stop Loss at 0.1129 (2.25 %)

Long Trade on KERNEL

The 10 Jul 2025 at 04:29:28

With 3025.3782 KERNEL at 0.1155$ per unit.

Position size of 349.4312 $

Take profit at 0.1195 (3.46 %) and Stop Loss at 0.1129 (2.25 %)

That's a 1.54 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 120
ML Pullback Score: 5.79
Prediction Score: 0.8767
Prediction 1 Probability
Strong Trade
0.59
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : -0.081826

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.001762864987
Details
  1. score: 2.07
  2. 1H
  3. ema9 : 0.118761
  4. ema21 : 0.115109
  5. ema50 : 0.11064
  6. ema100 : 0.10752
  7. price_ema9_diff : -0.027463
  8. ema9_ema21_diff : 0.0317298
  9. ema21_ema50_diff : 0.0403903
  10. price_ema100_diff : 0.0742187
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.524556
  14. kc_percentage : 0.506627
  15. kc_width_percentage : 0.185633
  16. volume_ema_diff : 1.75708
  17. volume_ema1 : 476328.70572186
  18. volume_ema2 : 172765.1790122
  19. ¸
  20. 15m
  21. ema9 : 0.119883
  22. ema21 : 0.121336
  23. ema50 : 0.118281
  24. ema100 : 0.114666
  25. price_ema9_diff : -0.0365676
  26. ema9_ema21_diff : -0.0119691
  27. ema21_ema50_diff : 0.0258215
  28. price_ema100_diff : 0.00726858
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.374924
  32. kc_percentage : 0.131028
  33. kc_width_percentage : 0.137982
  34. volume_ema_diff : -0.220642
  35. volume_ema1 : 87280.075878606
  36. volume_ema2 : 111989.81733529
  37. ¸
  38. 5m
  39. ema9 : 0.116647
  40. ema21 : 0.119238
  41. ema50 : 0.121629
  42. ema100 : 0.120372
  43. price_ema9_diff : -0.00983568
  44. ema9_ema21_diff : -0.02173
  45. ema21_ema50_diff : -0.0196552
  46. price_ema100_diff : -0.0404803
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.322837
  50. kc_percentage : -0.0684941
  51. kc_width_percentage : 0.0540579
  52. volume_ema_diff : -0.808259
  53. volume_ema1 : 8869.3371776966
  54. volume_ema2 : 46256.930419516
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    111142
  59. 5m_price_ema100_diff:
    0.000682584
  60. 5m_price:
    111218
  61. 5m_correlation_with_coin:
    -0.081826
  62. btc_indicators
  63. 15m_ema100:
    110352
  64. 15m_price_ema100_diff:
    0.00809317
  65. 15m_price:
    111245
  66. btc_indicators
  67. 1H_ema100:
    109157
  68. 1H_price_ema100_diff:
    0.0188722
  69. 1H_price:
    111218
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Jul 2025
04:29:28
10 Jul 2025
06:25:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1155 0.1129 0.1195 1.54 0.08706
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 0.1155
  • Stop Loss: 0.1129
  • Take Profit: 0.1195

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1129 - 0.1155 = -0.0026

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1155 - 0.1195 = -0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.004 / -0.0026 = 1.5385

📌 Position Size

Amount Margin Quantity Leverage
349.4312 100 3025.3782 3.49
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 -0.0026

Taille de position = 8 / -0.0026 = -3076.92

Taille de position USD = -3076.92 x 0.1155 = -355.38

Donc, tu peux acheter -3076.92 avec un stoploss a 0.1129

Avec un position size USD de -355.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3076.92 x -0.0026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3076.92 x -0.004 = 12.31

Si Take Profit atteint, tu gagneras 12.31$

Résumé

  • Taille de position -3076.92
  • Taille de position USD -355.38
  • Perte potentielle 8
  • Gain potentiel 12.31
  • Risk-Reward Ratio 1.5385

📌 Peformances

TP % Target TP $ Target
3.46 % 12.1 $
SL % Target SL $ Target
2.25 % 7.87 $
PNL PNL %
12.1 $ 3.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5584 % 69.23 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1207
            [stop_loss] => 0.1129
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 08:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.122
            [stop_loss] => 0.1129
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 08:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1233
            [stop_loss] => 0.1129
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 08:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1246
            [stop_loss] => 0.1129
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 09:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1259
            [stop_loss] => 0.1129
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 09:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1272
            [stop_loss] => 0.1129
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 09:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1285
            [stop_loss] => 0.1129
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 09:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1298
            [stop_loss] => 0.1129
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 09:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1311
            [stop_loss] => 0.1129
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 09:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0045
            [max_drawdown] => 0.0018
            [rr_ratio] => 2.5
            [high] => 0.12000000
            [low] => 0.11370000
            [mfe_pct] => 3.9
            [mae_pct] => 1.56
            [mfe_mae_ratio] => 2.5
            [candles_analyzed] => 24
            [start_at] => 2025-07-10T04:29:28-04:00
            [end_at] => 2025-07-10T06:29:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0161
            [max_drawdown] => 0.0018
            [rr_ratio] => 8.94
            [high] => 0.13160000
            [low] => 0.11370000
            [mfe_pct] => 13.94
            [mae_pct] => 1.56
            [mfe_mae_ratio] => 8.94
            [candles_analyzed] => 72
            [start_at] => 2025-07-10T04:29:28-04:00
            [end_at] => 2025-07-10T10:29:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13970000
            [high_after] => 0.13160000
            [low_before] => 0.11220000
            [low_after] => 0.11370000
            [is_new_high] => 
            [is_new_low] => 
        )

)