Short Trade on KERNEL 25 Sep 2025 at 21:16:21

Take profit at 0.204 (1.88 %) and Stop Loss at 0.2099 (0.96 %)

Short Trade on KERNEL

The 25 Sep 2025 at 21:16:21

With 4067.4196 KERNEL at 0.2079$ per unit.

Position size of 845.6165 $

Take profit at 0.204 (1.88 %) and Stop Loss at 0.2099 (0.96 %)

That's a 1.95 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 90
ML Pullback Score: 5.74
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.69
Prediction 3 Probability
1 0.63
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.558856

15m : 0.161556

1H : -0.108551

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.00131123264
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 0.205292
  4. ema21 : 0.209511
  5. ema50 : 0.214433
  6. ema100 : 0.216966
  7. price_ema9_diff : 0.0127033
  8. ema9_ema21_diff : -0.0201406
  9. ema21_ema50_diff : -0.0229506
  10. price_ema100_diff : -0.0417873
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.534069
  14. ema_slope_21 : -0.399807
  15. ema_slope_50 : -0.221209
  16. ema_slope_100 : -0.121696
  17. rsi : 0.461886
  18. adx : 0.303198
  19. kc_percentage : 0.443996
  20. kc_width_percentage : 0.111362
  21. volume_ema_diff : -0.55448
  22. volume_ema1 : 96342.473303344
  23. volume_ema2 : 216247.60839096
  24. chop : 36.9764
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.204337
  29. ema21 : 0.203332
  30. ema50 : 0.206067
  31. ema100 : 0.21022
  32. price_ema9_diff : 0.0174366
  33. ema9_ema21_diff : 0.00493962
  34. ema21_ema50_diff : -0.0132727
  35. price_ema100_diff : -0.0110404
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.134217
  39. ema_slope_21 : 0.00488749
  40. ema_slope_50 : -0.079278
  41. ema_slope_100 : -0.0804393
  42. rsi : 0.610373
  43. adx : 0.243806
  44. kc_percentage : 0.98044
  45. kc_width_percentage : 0.0459855
  46. volume_ema_diff : -0.671218
  47. volume_ema1 : 15034.323383116
  48. volume_ema2 : 45727.392017231
  49. chop : 48.2156
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.205957
  54. ema21 : 0.20404
  55. ema50 : 0.202708
  56. ema100 : 0.203082
  57. price_ema9_diff : 0.00943339
  58. ema9_ema21_diff : 0.00939298
  59. ema21_ema50_diff : 0.00657001
  60. price_ema100_diff : 0.0237238
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.218977
  64. ema_slope_21 : 0.146414
  65. ema_slope_50 : 0.0680957
  66. ema_slope_100 : 0.0243351
  67. rsi : 0.706796
  68. adx : 0.269558
  69. kc_percentage : 1.1921
  70. kc_width_percentage : 0.0260603
  71. volume_ema_diff : -0.595111
  72. volume_ema1 : 3833.4562219777
  73. volume_ema2 : 9467.9319844424
  74. chop : 27.7644
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109507
  80. 5m_price_ema100_diff:
    0.00097474
  81. 5m_price:
    109614
  82. 5m_correlation_with_coin:
    0.558856
  83. btc_indicators
  84. 15m_ema100:
    110698
  85. 15m_price_ema100_diff:
    -0.00979508
  86. 15m_price:
    109614
  87. 15m_correlation_with_coin:
    0.161556
  88. btc_indicators
  89. 1H_ema100:
    112330
  90. 1H_price_ema100_diff:
    -0.0241842
  91. 1H_price:
    109614
  92. 1H_correlation_with_coin:
    -0.108551
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
21:16:21
25 Sep 2025
22:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2079 0.2099 0.204 1.95 0.0851
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 0.2079
  • Stop Loss: 0.2099
  • Take Profit: 0.204

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2099 - 0.2079 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2079 - 0.204 = 0.0039

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0039 / 0.002 = 1.95

📌 Position Size

Amount Margin Quantity Leverage
845.6165 100 4067.4196 8.46
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.2079 = 831.6

Donc, tu peux acheter 4000 avec un stoploss a 0.2099

Avec un position size USD de 831.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0039 = 15.6

Si Take Profit atteint, tu gagneras 15.6$

Résumé

  • Taille de position 4000
  • Taille de position USD 831.6
  • Perte potentielle 8
  • Gain potentiel 15.6
  • Risk-Reward Ratio 1.95

📌 Peformances

TP % Target TP $ Target
1.88 % 15.86 $
SL % Target SL $ Target
0.96 % 8.13 $
PNL PNL %
15.86 $ 1.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8177 % 85 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2039
            [stop_loss] => 0.2099
            [rr_ratio] => 2
            [closed_at] => 2025-09-25 22:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2029
            [stop_loss] => 0.2099
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-25 22:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2019
            [stop_loss] => 0.2099
            [rr_ratio] => 3
            [closed_at] => 2025-09-25 23:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2009
            [stop_loss] => 0.2099
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-25 23:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1999
            [stop_loss] => 0.2099
            [rr_ratio] => 4
            [closed_at] => 2025-09-25 23:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1989
            [stop_loss] => 0.2099
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-25 23:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0053
            [max_drawdown] => 0.0017
            [rr_ratio] => 3.12
            [high] => 0.20960000
            [low] => 0.20260000
            [mfe_pct] => 2.55
            [mae_pct] => 0.82
            [mfe_mae_ratio] => 3.12
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T21:16:21-04:00
            [end_at] => 2025-09-25T23:16:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0106
            [max_drawdown] => 0.0017
            [rr_ratio] => 6.24
            [high] => 0.20960000
            [low] => 0.19730000
            [mfe_pct] => 5.1
            [mae_pct] => 0.82
            [mfe_mae_ratio] => 6.24
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T21:16:21-04:00
            [end_at] => 2025-09-26T04:16:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.20860000
            [high_after] => 0.20960000
            [low_before] => 0.19720000
            [low_after] => 0.19820000
            [is_new_high] => 
            [is_new_low] => 
        )

)