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Short Trade on ZRO

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Short Trade on ZRO 30 Sep 2025 at 16:13:31

Take profit at 2.0062 (0.93 %) and Stop Loss at 2.0344 (0.46 %)

Short Trade on ZRO

The 30 Sep 2025 at 16:13:31

With 851.2183 ZRO at 2.025$ per unit.

Position size of 1723.7171 $

Take profit at 2.0062 (0.93 %) and Stop Loss at 2.0344 (0.46 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 5.54
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.58
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium_confirmed

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.277567

15m : -0.005717

1H : 0.153509

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.006265529295
Details
  1. score: 1
  2. 1H
  3. ema9 : 2.0326
  4. ema21 : 2.09067
  5. ema50 : 2.17368
  6. ema100 : 2.23539
  7. price_ema9_diff : -0.00374007
  8. ema9_ema21_diff : -0.027775
  9. ema21_ema50_diff : -0.03819
  10. price_ema100_diff : -0.0941184
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.600978
  14. ema_slope_21 : -0.499452
  15. ema_slope_50 : -0.318695
  16. ema_slope_100 : -0.197336
  17. rsi : 0.30481
  18. adx : 0.422694
  19. kc_percentage : 0.0263902
  20. kc_width_percentage : 0.0639511
  21. volume_ema_diff : -0.146946
  22. volume_ema1 : 340888.4809277
  23. volume_ema2 : 399609.79402535
  24. chop : 31.8897
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.01131
  28. ema21 : 2.01301
  29. ema50 : 2.05252
  30. ema100 : 2.117
  31. price_ema9_diff : 0.00680204
  32. ema9_ema21_diff : -0.000843697
  33. ema21_ema50_diff : -0.0192469
  34. price_ema100_diff : -0.0434614
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0622714
  38. ema_slope_21 : -0.0267491
  39. ema_slope_50 : -0.107292
  40. ema_slope_100 : -0.113985
  41. rsi : 0.530356
  42. adx : 0.36972
  43. kc_percentage : 0.745909
  44. kc_width_percentage : 0.025632
  45. volume_ema_diff : 0.361172
  46. volume_ema1 : 158457.97477717
  47. volume_ema2 : 116412.82804483
  48. chop : 50.7126
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 2.01851
  52. ema21 : 2.012
  53. ema50 : 2.00885
  54. ema100 : 2.01766
  55. price_ema9_diff : 0.00321074
  56. ema9_ema21_diff : 0.00323939
  57. ema21_ema50_diff : 0.0015686
  58. price_ema100_diff : 0.00363409
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0620125
  62. ema_slope_21 : 0.0340854
  63. ema_slope_50 : 0.0128848
  64. ema_slope_100 : -0.00505502
  65. rsi : 0.673535
  66. adx : 0.290374
  67. kc_percentage : 1.00206
  68. kc_width_percentage : 0.0124447
  69. volume_ema_diff : 0.649831
  70. volume_ema1 : 64864.220837666
  71. volume_ema2 : 39315.659675553
  72. chop : 27.3547
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113394
  77. 5m_price_ema100_diff: 
    0.00649124
  78. 5m_price: 
    114130
  79. 5m_correlation_with_coin: 
    0.277567
  80. btc_indicators
  81. 15m_ema100: 
    113574
  82. 15m_price_ema100_diff: 
    0.00489475
  83. 15m_price: 
    114130
  84. 15m_correlation_with_coin: 
    -0.005717
  85. btc_indicators
  86. 1H_ema100: 
    111882
  87. 1H_price_ema100_diff: 
    0.0200937
  88. 1H_price: 
    114130
  89. 1H_correlation_with_coin: 
    0.153509
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:13:31		 30 Sep 2025
16:30:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.025 2.0344 2.0062 2 1.8092
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 2.025
  • Stop Loss: 2.0344
  • Take Profit: 2.0062

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.0344 - 2.025 = 0.0094000000000003

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.025 - 2.0062 = 0.0188

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0188 / 0.0094000000000003 = 2

📌 Position Size

Amount Margin Quantity Leverage
1723.7171 100 851.2183 17.24
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 0.0094000000000003

Taille de position = 8 / 0.0094000000000003 = 851.06

Taille de position USD = 851.06 x 2.025 = 1723.4

Donc, tu peux acheter 851.06 avec un stoploss a 2.0344

Avec un position size USD de 1723.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 851.06 x 0.0094000000000003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 851.06 x 0.0188 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 851.06
  • Taille de position USD 1723.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.93 % 16 $
SL % Target SL $ Target
0.46 % 8 $
PNL PNL %
-8 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5432 % 117.02 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.0062
            [entry_price] => 2.025
            [stop_loss] => 2.03534
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.0062
            [entry_price] => 2.025
            [stop_loss] => 2.03628
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.0062
            [entry_price] => 2.025
            [stop_loss] => 2.03722
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.0062
            [entry_price] => 2.025
            [stop_loss] => 2.0391
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.017
            [rr_ratio] => 1.29
            [high] => 2.04200000
            [low] => 2.00300000
            [mfe_pct] => 1.09
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 1.29
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:13:31-04:00
            [end_at] => 2025-09-30T18:13:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.071
            [max_drawdown] => 0.017
            [rr_ratio] => 4.18
            [high] => 2.04200000
            [low] => 1.95400000
            [mfe_pct] => 3.51
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 4.18
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:13:31-04:00
            [end_at] => 2025-09-30T23:13:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.03400000
            [high_after] => 2.04200000
            [low_before] => 1.97500000
            [low_after] => 1.95400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)