Short Trade on ZEN 07 Oct 2025 at 12:39:03

Take profit at 9.2892 (2.22 %) and Stop Loss at 9.6054 (1.11 %)

Short Trade on ZEN

The 07 Oct 2025 at 12:39:03

With 75.8983 ZEN at 9.5$ per unit.

Position size of 721.0342 $

Take profit at 9.2892 (2.22 %) and Stop Loss at 9.6054 (1.11 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.59
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.53
Prediction 2 Probability
1 0.66
Prediction 3 Probability
0 0.89
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.494994

15m : -0.005403

1H : -0.113485

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.07026944085
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 9.50422
  4. ema21 : 9.62034
  5. ema50 : 9.70961
  6. ema100 : 9.69779
  7. price_ema9_diff : -0.000444423
  8. ema9_ema21_diff : -0.0120705
  9. ema21_ema50_diff : -0.00919424
  10. price_ema100_diff : -0.0203955
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.209961
  14. ema_slope_21 : -0.169353
  15. ema_slope_50 : -0.0852676
  16. ema_slope_100 : -0.0334163
  17. rsi : 0.443158
  18. adx : 0.220944
  19. kc_percentage : 0.375853
  20. kc_width_percentage : 0.0960228
  21. volume_ema_diff : 0.0715643
  22. volume_ema1 : 494911.25862155
  23. volume_ema2 : 461858.64589722
  24. chop : 48.2085
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 9.33228
  29. ema21 : 9.40022
  30. ema50 : 9.51469
  31. ema100 : 9.64392
  32. price_ema9_diff : 0.0179718
  33. ema9_ema21_diff : -0.00722747
  34. ema21_ema50_diff : -0.0120313
  35. price_ema100_diff : -0.0149233
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.210278
  39. ema_slope_21 : -0.150396
  40. ema_slope_50 : -0.100476
  41. ema_slope_100 : -0.0730601
  42. rsi : 0.453204
  43. adx : 0.288745
  44. kc_percentage : 0.734088
  45. kc_width_percentage : 0.047199
  46. volume_ema_diff : -0.458493
  47. volume_ema1 : 63105.557855037
  48. volume_ema2 : 116536.96895125
  49. chop : 41.1331
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 9.34841
  54. ema21 : 9.32672
  55. ema50 : 9.38518
  56. ema100 : 9.45977
  57. price_ema9_diff : 0.0162146
  58. ema9_ema21_diff : 0.00232551
  59. ema21_ema50_diff : -0.00622831
  60. price_ema100_diff : 0.00425258
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0835639
  64. ema_slope_21 : -0.00546784
  65. ema_slope_50 : -0.0413631
  66. ema_slope_100 : -0.0370862
  67. rsi : 0.667168
  68. adx : 0.225098
  69. kc_percentage : 1.10654
  70. kc_width_percentage : 0.0302384
  71. volume_ema_diff : -0.311322
  72. volume_ema1 : 34281.209194179
  73. volume_ema2 : 49778.30202574
  74. chop : 33.3064
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    123102
  80. 5m_price_ema100_diff:
    -0.0131089
  81. 5m_price:
    121488
  82. 5m_correlation_with_coin:
    0.494994
  83. btc_indicators
  84. 15m_ema100:
    124005
  85. 15m_price_ema100_diff:
    -0.0206427
  86. 15m_price:
    121445
  87. 15m_correlation_with_coin:
    -0.005403
  88. btc_indicators
  89. 1H_ema100:
    123201
  90. 1H_price_ema100_diff:
    -0.0139019
  91. 1H_price:
    121488
  92. 1H_correlation_with_coin:
    -0.113485
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
07 Oct 2025
12:39:03
07 Oct 2025
16:50:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.5 9.6054 9.2892 2 5.567
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 9.5
  • Stop Loss: 9.6054
  • Take Profit: 9.2892

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.6054 - 9.5 = 0.1054

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.5 - 9.2892 = 0.2108

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.2108 / 0.1054 = 2

📌 Position Size

Amount Margin Quantity Leverage
721.0342 100 75.8983 7.21
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 0.1054

Taille de position = 8 / 0.1054 = 75.9

Taille de position USD = 75.9 x 9.5 = 721.05

Donc, tu peux acheter 75.9 avec un stoploss a 9.6054

Avec un position size USD de 721.05$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 75.9 x 0.1054 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 75.9 x 0.2108 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 75.9
  • Taille de position USD 721.05
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.22 % 16 $
SL % Target SL $ Target
1.11 % 8 $
PNL PNL %
-8 $ -1.11
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6947 % 152.74 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.2892
            [entry_price] => 9.5
            [stop_loss] => 9.61594
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-07 16:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.2892
            [entry_price] => 9.5
            [stop_loss] => 9.62648
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-07 16:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.2892
            [entry_price] => 9.5
            [stop_loss] => 9.63702
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-07 16:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.2892
            [entry_price] => 9.5
            [stop_loss] => 9.6581
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-07 16:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.185
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 9.48500000
            [low] => 9.31500000
            [mfe_pct] => 1.95
            [mae_pct] => -0.16
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-10-07T12:39:03-04:00
            [end_at] => 2025-10-07T14:39:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.206
            [max_drawdown] => 0.209
            [rr_ratio] => 0.99
            [high] => 9.70900000
            [low] => 9.29400000
            [mfe_pct] => 2.17
            [mae_pct] => 2.2
            [mfe_mae_ratio] => 0.99
            [candles_analyzed] => 84
            [start_at] => 2025-10-07T12:39:03-04:00
            [end_at] => 2025-10-07T19:39:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.67200000
            [high_after] => 9.70900000
            [low_before] => 9.14000000
            [low_after] => 9.29400000
            [is_new_high] => 
            [is_new_low] => 
        )

)