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Short Trade on ZRO

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Short Trade on ZRO 29 Sep 2025 at 06:11:40

Take profit at 2.2582 (0.74 %) and Stop Loss at 2.2834 (0.37 %)

Short Trade on ZRO

The 29 Sep 2025 at 06:11:40

With 951.8033 ZRO at 2.275$ per unit.

Position size of 2165.3525 $

Take profit at 2.2582 (0.74 %) and Stop Loss at 2.2834 (0.37 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.89
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
1 0.57
Prediction 3 Probability
0 0.73
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.223599

15m : -0.169097

1H : 0.115272

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.005603398804
Details
  1. score: 1
  2. 1H
  3. ema9 : 2.26545
  4. ema21 : 2.27545
  5. ema50 : 2.28433
  6. ema100 : 2.24904
  7. price_ema9_diff : 0.00421244
  8. ema9_ema21_diff : -0.00439234
  9. ema21_ema50_diff : -0.00388964
  10. price_ema100_diff : 0.0115423
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0853045
  14. ema_slope_21 : -0.0977305
  15. ema_slope_50 : -0.0477445
  16. ema_slope_100 : 0.0141819
  17. rsi : 0.485925
  18. adx : 0.117028
  19. kc_percentage : 0.504606
  20. kc_width_percentage : 0.0459617
  21. volume_ema_diff : -0.483121
  22. volume_ema1 : 175992.82956186
  23. volume_ema2 : 340491.69660148
  24. chop : 53.3586
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 2.26391
  28. ema21 : 2.26099
  29. ema50 : 2.26679
  30. ema100 : 2.2804
  31. price_ema9_diff : 0.00489497
  32. ema9_ema21_diff : 0.00129235
  33. ema21_ema50_diff : -0.00255889
  34. price_ema100_diff : -0.0023721
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0720899
  38. ema_slope_21 : 0.0310746
  39. ema_slope_50 : -0.00405058
  40. ema_slope_100 : -0.0151703
  41. rsi : 0.579926
  42. adx : 0.18553
  43. kc_percentage : 0.780427
  44. kc_width_percentage : 0.0219209
  45. volume_ema_diff : -0.636472
  46. volume_ema1 : 22519.680412813
  47. volume_ema2 : 61947.590439285
  48. chop : 46.9104
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 2.26874
  52. ema21 : 2.26471
  53. ema50 : 2.26081
  54. ema100 : 2.25782
  55. price_ema9_diff : 0.00275671
  56. ema9_ema21_diff : 0.00177813
  57. ema21_ema50_diff : 0.00172828
  58. price_ema100_diff : 0.00760708
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0326303
  62. ema_slope_21 : 0.0126027
  63. ema_slope_50 : 0.00905107
  64. ema_slope_100 : 0.00641744
  65. rsi : 0.624598
  66. adx : 0.17015
  67. kc_percentage : 1.00154
  68. kc_width_percentage : 0.00883672
  69. volume_ema_diff : -0.859649
  70. volume_ema1 : 2624.1162751571
  71. volume_ema2 : 18696.896395808
  72. chop : 45.6514
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111853
  77. 5m_price_ema100_diff: 
    0.00157696
  78. 5m_price: 
    112029
  79. 5m_correlation_with_coin: 
    0.223599
  80. btc_indicators
  81. 15m_ema100: 
    111077
  82. 15m_price_ema100_diff: 
    0.00856754
  83. 15m_price: 
    112029
  84. 15m_correlation_with_coin: 
    -0.169097
  85. btc_indicators
  86. 1H_ema100: 
    110429
  87. 1H_price_ema100_diff: 
    0.0144868
  88. 1H_price: 
    112029
  89. 1H_correlation_with_coin: 
    0.115272
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
06:11:40		 29 Sep 2025
06:20:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.275 2.2834 2.2582 2 1.8088
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 2.275
  • Stop Loss: 2.2834
  • Take Profit: 2.2582

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2834 - 2.275 = 0.0084

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.275 - 2.2582 = 0.0168

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0168 / 0.0084 = 2

📌 Position Size

Amount Margin Quantity Leverage
2165.3525 100 951.8033 21.65
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 0.0084

Taille de position = 8 / 0.0084 = 952.38

Taille de position USD = 952.38 x 2.275 = 2166.66

Donc, tu peux acheter 952.38 avec un stoploss a 2.2834

Avec un position size USD de 2166.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 952.38 x 0.0084 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 952.38 x 0.0168 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 952.38
  • Taille de position USD 2166.66
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.74 % 15.99 $
SL % Target SL $ Target
0.37 % 8 $
PNL PNL %
-8 $ -0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4396 % 119.07 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.2582
            [entry_price] => 2.275
            [stop_loss] => 2.28424
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 06:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.2582
            [entry_price] => 2.275
            [stop_loss] => 2.28508
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 06:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.2582
            [entry_price] => 2.275
            [stop_loss] => 2.28592
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 06:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.2582
            [entry_price] => 2.275
            [stop_loss] => 2.2876
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 06:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.024
            [max_drawdown] => 0.042
            [rr_ratio] => 0.57
            [high] => 2.31700000
            [low] => 2.25100000
            [mfe_pct] => 1.05
            [mae_pct] => 1.85
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T06:11:40-04:00
            [end_at] => 2025-09-29T08:11:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.048
            [max_drawdown] => 0.066
            [rr_ratio] => 0.73
            [high] => 2.34100000
            [low] => 2.22700000
            [mfe_pct] => 2.11
            [mae_pct] => 2.9
            [mfe_mae_ratio] => 0.73
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T06:11:40-04:00
            [end_at] => 2025-09-29T13:11:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.28900000
            [high_after] => 2.33300000
            [low_before] => 2.23300000
            [low_after] => 2.22700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)