Short Trade on KNC 22 Sep 2025 at 17:15:46

Take profit at 0.3356 (0.5 %) and Stop Loss at 0.3382 (0.27 %)

Short Trade on KNC

The 22 Sep 2025 at 17:15:46

With 9258.9257 KNC at 0.3373$ per unit.

Position size of 3123.0356 $

Take profit at 0.3356 (0.5 %) and Stop Loss at 0.3382 (0.27 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.49
Prediction Score: 5
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
2 0.7
Prediction 3 Probability
1 0.7
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 : 0.609296

15m : -0.062822

1H : -0.043187

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.31
  4. atr: 0.0005760207533
Details
  1. score: 1.31
  2. 1H
  3. ema9 : 0.336916
  4. ema21 : 0.342568
  5. ema50 : 0.353562
  6. ema100 : 0.363384
  7. price_ema9_diff : 0.00113727
  8. ema9_ema21_diff : -0.0164971
  9. ema21_ema50_diff : -0.0310965
  10. price_ema100_diff : -0.071782
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.222511
  14. ema_slope_21 : -0.296604
  15. ema_slope_50 : -0.2351
  16. ema_slope_100 : -0.160951
  17. rsi : 0.351035
  18. adx : 0.698138
  19. kc_percentage : 0.185757
  20. kc_width_percentage : 0.0449814
  21. volume_ema_diff : -0.577207
  22. volume_ema1 : 40648.336902884
  23. volume_ema2 : 96142.585515985
  24. chop : 71.4353
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.335743
  29. ema21 : 0.335892
  30. ema50 : 0.338611
  31. ema100 : 0.3446
  32. price_ema9_diff : 0.00463568
  33. ema9_ema21_diff : -0.000442065
  34. ema21_ema50_diff : -0.00803019
  35. price_ema100_diff : -0.021184
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0143279
  39. ema_slope_21 : -0.0331227
  40. ema_slope_50 : -0.0527205
  41. ema_slope_100 : -0.0620747
  42. rsi : 0.543847
  43. adx : 0.270999
  44. kc_percentage : 0.799723
  45. kc_width_percentage : 0.0144194
  46. volume_ema_diff : -0.380421
  47. volume_ema1 : 12626.538154926
  48. volume_ema2 : 20379.23877702
  49. chop : 50.1991
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.336325
  54. ema21 : 0.335477
  55. ema50 : 0.335553
  56. ema100 : 0.336531
  57. price_ema9_diff : 0.00289751
  58. ema9_ema21_diff : 0.00252633
  59. ema21_ema50_diff : -0.000225043
  60. price_ema100_diff : 0.00228332
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0756883
  64. ema_slope_21 : 0.0351755
  65. ema_slope_50 : 0.00571245
  66. ema_slope_100 : -0.00459509
  67. rsi : 0.67523
  68. adx : 0.328262
  69. kc_percentage : 1.30586
  70. kc_width_percentage : 0.00658522
  71. volume_ema_diff : 1.33555
  72. volume_ema1 : 9467.6741339084
  73. volume_ema2 : 4053.7072536709
  74. chop : 23.9189
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112538
  80. 5m_price_ema100_diff:
    0.00145833
  81. 5m_price:
    112702
  82. 5m_correlation_with_coin:
    0.609296
  83. btc_indicators
  84. 15m_ema100:
    113284
  85. 15m_price_ema100_diff:
    -0.00513087
  86. 15m_price:
    112702
  87. 15m_correlation_with_coin:
    -0.062822
  88. btc_indicators
  89. 1H_ema100:
    115033
  90. 1H_price_ema100_diff:
    -0.0202577
  91. 1H_price:
    112702
  92. 1H_correlation_with_coin:
    -0.043187
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:15:46
22 Sep 2025
17:20:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3373 0.3382 0.3356 1.89 0.1347
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 0.3373
  • Stop Loss: 0.3382
  • Take Profit: 0.3356

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3382 - 0.3373 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3373 - 0.3356 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00090000000000001 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
3123.0356 100 9258.9257 31.23
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 0.3373 = 2998.22

Donc, tu peux acheter 8888.89 avec un stoploss a 0.3382

Avec un position size USD de 2998.22$

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 0.0017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 2998.22
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
0.5 % 15.74 $
SL % Target SL $ Target
0.27 % 8.33 $
PNL PNL %
-8.33 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2668 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3356
            [entry_price] => 0.3373
            [stop_loss] => 0.33829
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3356
            [entry_price] => 0.3373
            [stop_loss] => 0.33838
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3356
            [entry_price] => 0.3373
            [stop_loss] => 0.33847
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3356
            [entry_price] => 0.3373
            [stop_loss] => 0.33865
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00020000000000003
            [max_drawdown] => 0.0025
            [rr_ratio] => -0.08
            [high] => 0.33980000
            [low] => 0.33750000
            [mfe_pct] => -0.06
            [mae_pct] => 0.74
            [mfe_mae_ratio] => -0.08
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:15:46-04:00
            [end_at] => 2025-09-22T19:15:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0051
            [max_drawdown] => 0.0055
            [rr_ratio] => 0.93
            [high] => 0.34280000
            [low] => 0.33220000
            [mfe_pct] => 1.51
            [mae_pct] => 1.63
            [mfe_mae_ratio] => 0.93
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:15:46-04:00
            [end_at] => 2025-09-23T00:15:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.33760000
            [high_after] => 0.34280000
            [low_before] => 0.33220000
            [low_after] => 0.33220000
            [is_new_high] => 
            [is_new_low] => 
        )

)