Short Trade on KNC 22 Sep 2025 at 18:12:53

Take profit at 0.3372 (0.47 %) and Stop Loss at 0.3396 (0.24 %)

Short Trade on KNC

The 22 Sep 2025 at 18:12:53

With 10280.8612 KNC at 0.3388$ per unit.

Position size of 3483.1558 $

Take profit at 0.3372 (0.47 %) and Stop Loss at 0.3396 (0.24 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.13
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.7
Prediction 3 Probability
1 0.8
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_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.56792

15m : 0.021679

1H : -0.019593

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0005187632833
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.337693
  4. ema21 : 0.342432
  5. ema50 : 0.353035
  6. ema100 : 0.362634
  7. price_ema9_diff : 0.00327673
  8. ema9_ema21_diff : -0.0138382
  9. ema21_ema50_diff : -0.0300362
  10. price_ema100_diff : -0.065727
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.171466
  14. ema_slope_21 : -0.266938
  15. ema_slope_50 : -0.224212
  16. ema_slope_100 : -0.155421
  17. rsi : 0.388869
  18. adx : 0.679518
  19. kc_percentage : 0.287508
  20. kc_width_percentage : 0.0440586
  21. volume_ema_diff : -0.638744
  22. volume_ema1 : 33841.181964145
  23. volume_ema2 : 93676.581820479
  24. chop : 70.7776
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.337451
  29. ema21 : 0.336737
  30. ema50 : 0.33869
  31. ema100 : 0.34429
  32. price_ema9_diff : 0.0039963
  33. ema9_ema21_diff : 0.00212018
  34. ema21_ema50_diff : -0.00576582
  35. price_ema100_diff : -0.0159484
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.037832
  39. ema_slope_21 : -0.00184526
  40. ema_slope_50 : -0.0364176
  41. ema_slope_100 : -0.0532921
  42. rsi : 0.580765
  43. adx : 0.264983
  44. kc_percentage : 0.914169
  45. kc_width_percentage : 0.0147063
  46. volume_ema_diff : -0.514375
  47. volume_ema1 : 9242.8180624472
  48. volume_ema2 : 19032.851062459
  49. chop : 35.7632
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.338709
  54. ema21 : 0.337662
  55. ema50 : 0.33672
  56. ema100 : 0.337071
  57. price_ema9_diff : 0.000267239
  58. ema9_ema21_diff : 0.00310114
  59. ema21_ema50_diff : 0.00279781
  60. price_ema100_diff : 0.00512703
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0651532
  64. ema_slope_21 : 0.0588121
  65. ema_slope_50 : 0.0301296
  66. ema_slope_100 : 0.0106474
  67. rsi : 0.659972
  68. adx : 0.46213
  69. kc_percentage : 1.0328
  70. kc_width_percentage : 0.00589353
  71. volume_ema_diff : -0.137165
  72. volume_ema1 : 2938.8552160103
  73. volume_ema2 : 3406.0485237225
  74. chop : 34.3645
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112642
  80. 5m_price_ema100_diff:
    0.000532012
  81. 5m_price:
    112702
  82. 5m_correlation_with_coin:
    0.56792
  83. btc_indicators
  84. 15m_ema100:
    113238
  85. 15m_price_ema100_diff:
    -0.00473232
  86. 15m_price:
    112702
  87. 15m_correlation_with_coin:
    0.021679
  88. btc_indicators
  89. 1H_ema100:
    114943
  90. 1H_price_ema100_diff:
    -0.0194955
  91. 1H_price:
    112702
  92. 1H_correlation_with_coin:
    -0.019593
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
18:12:53
22 Sep 2025
19:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3388 0.3396 0.3372 2 0.1351
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 0.3388
  • Stop Loss: 0.3396
  • Take Profit: 0.3372

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3396 - 0.3388 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3388 - 0.3372 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.00080000000000002 = 2

📌 Position Size

Amount Margin Quantity Leverage
3483.1558 100 10280.8612 34.83
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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.3388 = 3388

Donc, tu peux acheter 10000 avec un stoploss a 0.3396

Avec un position size USD de 3388$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 10000
  • Taille de position USD 3388
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.47 % 16.45 $
SL % Target SL $ Target
0.24 % 8.22 $
PNL PNL %
-8.22 $ -0.24
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2952 % 125.03 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3372
            [entry_price] => 0.3388
            [stop_loss] => 0.33968
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 19:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3372
            [entry_price] => 0.3388
            [stop_loss] => 0.33976
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 19:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3372
            [entry_price] => 0.3388
            [stop_loss] => 0.33984
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 19:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3372
            [entry_price] => 0.3388
            [stop_loss] => 0.34
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 19:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.003
            [rr_ratio] => 0.17
            [high] => 0.34180000
            [low] => 0.33830000
            [mfe_pct] => 0.15
            [mae_pct] => 0.89
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T18:12:53-04:00
            [end_at] => 2025-09-22T20:12:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0066
            [max_drawdown] => 0.004
            [rr_ratio] => 1.65
            [high] => 0.34280000
            [low] => 0.33220000
            [mfe_pct] => 1.95
            [mae_pct] => 1.18
            [mfe_mae_ratio] => 1.65
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T18:12:53-04:00
            [end_at] => 2025-09-23T01:12:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.33980000
            [high_after] => 0.34280000
            [low_before] => 0.33220000
            [low_after] => 0.33220000
            [is_new_high] => 
            [is_new_low] => 
        )

)