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Short Trade on ZETA

Short Trade on ZETA

The 08 Oct 2025 at 04:36:38

With 10948.0615 ZETA at 0.1765$ per unit.

Position size of 1932.3329 $

Take profit at 0.175 (0.85 %) and Stop Loss at 0.1772 (0.4 %)

That's a 2.14 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.92
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.66
Prediction 3 Probability
1 0.55
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 : bear_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.105646

15m : -0.061277

1H : -0.089302

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0004871486463
Details
  1. score: 1.22
  2. 1H
  3. ema9 - 0.176077
  4. ema21 - 0.179192
  5. ema50 - 0.180143
  6. ema100 - 0.177884
  7. price_ema9_diff - 0.00240194
  8. ema9_ema21_diff - -0.0173878
  9. ema21_ema50_diff - -0.00527721
  10. price_ema100_diff - -0.00778467
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.396183
  14. ema_slope_21 - -0.316866
  15. ema_slope_50 - -0.11183
  16. ema_slope_100 - -0.0203286
  17. rsi - 0.410787
  18. adx - 0.243179
  19. kc_percentage - 0.286979
  20. kc_width_percentage - 0.0667548
  21. volume_ema_diff - -0.711944
  22. volume_ema1 - 98994.055805672
  23. volume_ema2 - 343662.95833636
  24. chop - 53.255
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.175099
  28. ema21 - 0.175029
  29. ema50 - 0.177303
  30. ema100 - 0.181198
  31. price_ema9_diff - 0.00799899
  32. ema9_ema21_diff - 0.00039703
  33. ema21_ema50_diff - -0.0128207
  34. price_ema100_diff - -0.0259315
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0429477
  38. ema_slope_21 - -0.0325394
  39. ema_slope_50 - -0.0804133
  40. ema_slope_100 - -0.0836661
  41. rsi - 0.604963
  42. adx - 0.238313
  43. kc_percentage - 0.878146
  44. kc_width_percentage - 0.0226491
  45. volume_ema_diff - -0.734439
  46. volume_ema1 - 14104.94805247
  47. volume_ema2 - 53113.966538034
  48. chop - 53.6425
  49. regime - bear_medium
    50. ¸
  50. 5m
  51. ema9 - 0.175799
  52. ema21 - 0.175076
  53. ema50 - 0.174789
  54. ema100 - 0.175606
  55. price_ema9_diff - 0.00398389
  56. ema9_ema21_diff - 0.00413013
  57. ema21_ema50_diff - 0.00164289
  58. price_ema100_diff - 0.00509081
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0929333
  62. ema_slope_21 - 0.0624102
  63. ema_slope_50 - 0.0225729
  64. ema_slope_100 - -0.0012712
  65. rsi - 0.684867
  66. adx - 0.416925
  67. kc_percentage - 1.22279
  68. kc_width_percentage - 0.0108376
  69. volume_ema_diff - -0.407871
  70. volume_ema1 - 4878.0429483213
  71. volume_ema2 - 8238.1478644096
  72. chop - 29.0812
  73. regime - bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 121621
  77. 5m_price_ema100_diff: 0.00665963
  78. 5m_price: 122431
  79. 5m_correlation_with_coin: 0.105646
  80. btc_indicators
  81. 15m_ema100: 122137
  82. 15m_price_ema100_diff: 0.00152118
  83. 15m_price: 122322
  84. 15m_correlation_with_coin: -0.061277
  85. btc_indicators
  86. 1H_ema100: 123012
  87. 1H_price_ema100_diff: -0.00472585
  88. 1H_price: 122431
  89. 1H_correlation_with_coin: -0.089302
    90. ¸

📌 Time Data

Start at Closed at Duration
08 Oct 2025
04:36:38		 08 Oct 2025
05:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1765 0.1772 0.175 2.14 0.0753
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 0.1765
  • Stop Loss: 0.1772
  • Take Profit: 0.175

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1772 - 0.1765 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1765 - 0.175 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00070000000000001 = 2.1429

📌 Position Size

Amount Margin Quantity Leverage
1932.3329 100 10948.0615 19.32
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 0.00070000000000001

Taille de position = 8 / 0.00070000000000001 = 11428.57

Taille de position USD = 11428.57 x 0.1765 = 2017.14

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1772

Avec un position size USD de 2017.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0015 = 17.14

Si Take Profit atteint, tu gagneras 17.14$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 2017.14
  • Perte potentielle 8
  • Gain potentiel 17.14
  • Risk-Reward Ratio 2.1429

📌 Peformances

TP % Target TP $ Target
0.85 % 16.42 $
SL % Target SL $ Target
0.4 % 7.66 $
PNL PNL %
-7.66 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6232 % 157.14 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.175
            [entry_price] => 0.1765
            [stop_loss] => 0.17727
            [rr_ratio] => 1.95
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 05:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.175
            [entry_price] => 0.1765
            [stop_loss] => 0.17734
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 05:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.175
            [entry_price] => 0.1765
            [stop_loss] => 0.17741
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 05:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.175
            [entry_price] => 0.1765
            [stop_loss] => 0.17755
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 05:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0017
            [rr_ratio] => 0.29
            [high] => 0.17820000
            [low] => 0.17600000
            [mfe_pct] => 0.28
            [mae_pct] => 0.96
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T04:36:38-04:00
            [end_at] => 2025-10-08T06:36:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0025
            [max_drawdown] => 0.0022
            [rr_ratio] => 1.14
            [high] => 0.17870000
            [low] => 0.17400000
            [mfe_pct] => 1.42
            [mae_pct] => 1.25
            [mfe_mae_ratio] => 1.14
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T04:36:38-04:00
            [end_at] => 2025-10-08T11:36:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17680000
            [high_after] => 0.17870000
            [low_before] => 0.17250000
            [low_after] => 0.17400000
            [is_new_high] => 
            [is_new_low] => 
        )

)