Short Trade on KNC 22 Sep 2025 at 16:59:10

Take profit at 0.3345 (0.54 %) and Stop Loss at 0.3372 (0.27 %)

Short Trade on KNC

The 22 Sep 2025 at 16:59:10

With 8872.5844 KNC at 0.3363$ per unit.

Position size of 2983.8501 $

Take profit at 0.3345 (0.54 %) and Stop Loss at 0.3372 (0.27 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.38
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.55
Prediction 3 Probability
1 0.85
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.594764

15m : -0.040841

1H : 0.000215

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.0006011025765
Details
  1. score: 1.18
  2. 1H
  3. ema9 : 0.336821
  4. ema21 : 0.343095
  5. ema50 : 0.354222
  6. ema100 : 0.363883
  7. price_ema9_diff : -0.00154693
  8. ema9_ema21_diff : -0.0182865
  9. ema21_ema50_diff : -0.0314145
  10. price_ema100_diff : -0.0758039
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.286188
  14. ema_slope_21 : -0.328438
  15. ema_slope_50 : -0.245458
  16. ema_slope_100 : -0.164508
  17. rsi : 0.32813
  18. adx : 0.699263
  19. kc_percentage : 0.114894
  20. kc_width_percentage : 0.0484099
  21. volume_ema_diff : -0.590855
  22. volume_ema1 : 40429.686724327
  23. volume_ema2 : 98815.144718768
  24. chop : 68.1459
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.334593
  29. ema21 : 0.335475
  30. ema50 : 0.338671
  31. ema100 : 0.344888
  32. price_ema9_diff : 0.00510135
  33. ema9_ema21_diff : -0.00263031
  34. ema21_ema50_diff : -0.00943698
  35. price_ema100_diff : -0.0249019
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0434454
  39. ema_slope_21 : -0.0484247
  40. ema_slope_50 : -0.060471
  41. ema_slope_100 : -0.0662721
  42. rsi : 0.468574
  43. adx : 0.308439
  44. kc_percentage : 0.683384
  45. kc_width_percentage : 0.0147167
  46. volume_ema_diff : -0.715411
  47. volume_ema1 : 5750.5212769169
  48. volume_ema2 : 20206.442625003
  49. chop : 56.8945
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.335109
  54. ema21 : 0.33471
  55. ema50 : 0.335271
  56. ema100 : 0.336407
  57. price_ema9_diff : 0.0035514
  58. ema9_ema21_diff : 0.00119176
  59. ema21_ema50_diff : -0.00167117
  60. price_ema100_diff : -0.00031963
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0402446
  64. ema_slope_21 : 0.00530112
  65. ema_slope_50 : -0.0102786
  66. ema_slope_100 : -0.0126592
  67. rsi : 0.63721
  68. adx : 0.302042
  69. kc_percentage : 1.1827
  70. kc_width_percentage : 0.00691881
  71. volume_ema_diff : -0.353031
  72. volume_ema1 : 2490.3360316614
  73. volume_ema2 : 3849.236787112
  74. chop : 29.7362
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112507
  80. 5m_price_ema100_diff:
    0.00255957
  81. 5m_price:
    112795
  82. 5m_correlation_with_coin:
    0.594764
  83. btc_indicators
  84. 15m_ema100:
    113306
  85. 15m_price_ema100_diff:
    -0.00635826
  86. 15m_price:
    112586
  87. 15m_correlation_with_coin:
    -0.040841
  88. btc_indicators
  89. 1H_ema100:
    115051
  90. 1H_price_ema100_diff:
    -0.0196103
  91. 1H_price:
    112795
  92. 1H_correlation_with_coin:
    0.000215
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:59:10
22 Sep 2025
17:10:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3363 0.3372 0.3345 2 0.1363
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 0.3363
  • Stop Loss: 0.3372
  • Take Profit: 0.3345

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3372 - 0.3363 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3363 - 0.3345 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.00090000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2983.8501 100 8872.5844 29.84
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 0.3363 = 2989.33

Donc, tu peux acheter 8888.89 avec un stoploss a 0.3372

Avec un position size USD de 2989.33$

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 0.0018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 2989.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.54 % 15.97 $
SL % Target SL $ Target
0.27 % 7.99 $
PNL PNL %
-7.99 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3866 % 144.47 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3345
            [entry_price] => 0.3363
            [stop_loss] => 0.33729
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3345
            [entry_price] => 0.3363
            [stop_loss] => 0.33738
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3345
            [entry_price] => 0.3363
            [stop_loss] => 0.33747
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3345
            [entry_price] => 0.3363
            [stop_loss] => 0.33765
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.0035
            [rr_ratio] => 0
            [high] => 0.33980000
            [low] => 0.33630000
            [mfe_pct] => 0
            [mae_pct] => 1.04
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:59:10-04:00
            [end_at] => 2025-09-22T18:59:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0041
            [max_drawdown] => 0.0065
            [rr_ratio] => 0.63
            [high] => 0.34280000
            [low] => 0.33220000
            [mfe_pct] => 1.22
            [mae_pct] => 1.93
            [mfe_mae_ratio] => 0.63
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:59:10-04:00
            [end_at] => 2025-09-22T23:59:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.33690000
            [high_after] => 0.34280000
            [low_before] => 0.33220000
            [low_after] => 0.33340000
            [is_new_high] => 
            [is_new_low] => 
        )

)