Short Trade on ZKC 27 Sep 2025 at 01:18:07

Take profit at 0.5441 (1.18 %) and Stop Loss at 0.5539 (0.6 %)

Short Trade on ZKC

The 27 Sep 2025 at 01:18:07

With 2455.497 ZKC at 0.5506$ per unit.

Position size of 1351.9967 $

Take profit at 0.5441 (1.18 %) and Stop Loss at 0.5539 (0.6 %)

That's a 1.97 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.14
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_low

BTC Correlation Score

5m : 0.331667

15m : -0.010213

1H : -0.026885

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002171997466
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.547859
  4. ema21 : 0.55119
  5. ema50 : 0.571021
  6. ema100 : 0.595462
  7. price_ema9_diff : 0.00500274
  8. ema9_ema21_diff : -0.00604395
  9. ema21_ema50_diff : -0.0347289
  10. price_ema100_diff : -0.07534
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0150295
  14. ema_slope_21 : -0.0830178
  15. ema_slope_50 : -0.193412
  16. ema_slope_100 : -0.172137
  17. rsi : 0.463494
  18. adx : 0.395764
  19. kc_percentage : 0.496801
  20. kc_width_percentage : 0.0689983
  21. volume_ema_diff : -0.60687
  22. volume_ema1 : 161263.53319102
  23. volume_ema2 : 410205.08498535
  24. chop : 66.0697
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.54659
  29. ema21 : 0.546607
  30. ema50 : 0.54742
  31. ema100 : 0.548728
  32. price_ema9_diff : 0.00733529
  33. ema9_ema21_diff : -3.07389E-5
  34. ema21_ema50_diff : -0.00148557
  35. price_ema100_diff : 0.00341025
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0130513
  39. ema_slope_21 : -0.0144109
  40. ema_slope_50 : -0.0135974
  41. ema_slope_100 : -0.0116231
  42. rsi : 0.554022
  43. adx : 0.0992748
  44. kc_percentage : 0.735389
  45. kc_width_percentage : 0.0310814
  46. volume_ema_diff : -0.282305
  47. volume_ema1 : 45474.870787837
  48. volume_ema2 : 63362.418707871
  49. chop : 68.4857
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.546525
  54. ema21 : 0.545968
  55. ema50 : 0.546029
  56. ema100 : 0.546614
  57. price_ema9_diff : 0.00745457
  58. ema9_ema21_diff : 0.00102048
  59. ema21_ema50_diff : -0.000111343
  60. price_ema100_diff : 0.00729037
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0109436
  64. ema_slope_21 : 0.00945434
  65. ema_slope_50 : 0.00133408
  66. ema_slope_100 : -0.00192374
  67. rsi : 0.642252
  68. adx : 0.140334
  69. kc_percentage : 1.01294
  70. kc_width_percentage : 0.016312
  71. volume_ema_diff : 0.837557
  72. volume_ema1 : 30156.244960214
  73. volume_ema2 : 16411.045015326
  74. chop : 44.8613
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109438
  80. 5m_price_ema100_diff:
    0.00133075
  81. 5m_price:
    109584
  82. 5m_correlation_with_coin:
    0.331667
  83. btc_indicators
  84. 15m_ema100:
    109381
  85. 15m_price_ema100_diff:
    0.00185658
  86. 15m_price:
    109584
  87. 15m_correlation_with_coin:
    -0.010213
  88. btc_indicators
  89. 1H_ema100:
    110710
  90. 1H_price_ema100_diff:
    -0.0101714
  91. 1H_price:
    109584
  92. 1H_correlation_with_coin:
    -0.026885
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Sep 2025
01:18:07
27 Sep 2025
01:30:00
11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5506 0.5539 0.5441 1.97 0.088
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 0.5506
  • Stop Loss: 0.5539
  • Take Profit: 0.5441

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5539 - 0.5506 = 0.0033

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5506 - 0.5441 = 0.0065

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0065 / 0.0033 = 1.9697

📌 Position Size

Amount Margin Quantity Leverage
1351.9967 100 2455.497 13.52
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 0.0033

Taille de position = 8 / 0.0033 = 2424.24

Taille de position USD = 2424.24 x 0.5506 = 1334.79

Donc, tu peux acheter 2424.24 avec un stoploss a 0.5539

Avec un position size USD de 1334.79$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2424.24 x 0.0033 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2424.24 x 0.0065 = 15.76

Si Take Profit atteint, tu gagneras 15.76$

Résumé

  • Taille de position 2424.24
  • Taille de position USD 1334.79
  • Perte potentielle 8
  • Gain potentiel 15.76
  • Risk-Reward Ratio 1.9697

📌 Peformances

TP % Target TP $ Target
1.18 % 15.96 $
SL % Target SL $ Target
0.6 % 8.1 $
PNL PNL %
-8.1 $ -0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9444 % 157.58 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5441
            [entry_price] => 0.5506
            [stop_loss] => 0.55423
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-27 01:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5441
            [entry_price] => 0.5506
            [stop_loss] => 0.55456
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-27 01:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5441
            [entry_price] => 0.5506
            [stop_loss] => 0.55489
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-27 01:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5441
            [entry_price] => 0.5506
            [stop_loss] => 0.55555
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-27 01:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.0087
            [rr_ratio] => 0.14
            [high] => 0.55930000
            [low] => 0.54940000
            [mfe_pct] => 0.22
            [mae_pct] => 1.58
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 24
            [start_at] => 2025-09-27T01:18:07-04:00
            [end_at] => 2025-09-27T03:18:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.0324
            [rr_ratio] => 0.04
            [high] => 0.58300000
            [low] => 0.54930000
            [mfe_pct] => 0.24
            [mae_pct] => 5.88
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 84
            [start_at] => 2025-09-27T01:18:07-04:00
            [end_at] => 2025-09-27T08:18:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.55220000
            [high_after] => 0.57210000
            [low_before] => 0.54090000
            [low_after] => 0.54930000
            [is_new_high] => 
            [is_new_low] => 
        )

)