Long Trade on ZRO 07 Oct 2025 at 10:31:28

Take profit at 2.516 (3.03 %) and Stop Loss at 2.405 (1.52 %)

Long Trade on ZRO

The 07 Oct 2025 at 10:31:28

With 216.3083 ZRO at 2.442$ per unit.

Position size of 528.2249 $

Take profit at 2.516 (3.03 %) and Stop Loss at 2.405 (1.52 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.39
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.87
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : range_medium

rules_regime_5m : bear_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_high_confirmed

BTC Correlation Score

5m : 0.505036

15m : 0.027109

1H : 0.123812

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.02465616565
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 2.46253
  4. ema21 : 2.42595
  5. ema50 : 2.37792
  6. ema100 : 2.34907
  7. price_ema9_diff : -0.00833876
  8. ema9_ema21_diff : 0.0150763
  9. ema21_ema50_diff : 0.0202018
  10. price_ema100_diff : 0.0395574
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.174736
  14. ema_slope_21 : 0.190228
  15. ema_slope_50 : 0.146507
  16. ema_slope_100 : 0.0906766
  17. rsi : 0.539483
  18. adx : 0.349238
  19. kc_percentage : 0.560948
  20. kc_width_percentage : 0.0903009
  21. volume_ema_diff : 1.60189
  22. volume_ema1 : 1143390.62172
  23. volume_ema2 : 439445.35888061
  24. chop : 33.1413
  25. regime : bull_high
  26. ¸
  27. 15m
  28. ema9 : 2.491
  29. ema21 : 2.47423
  30. ema50 : 2.44377
  31. ema100 : 2.41279
  32. price_ema9_diff : -0.0196738
  33. ema9_ema21_diff : 0.00677718
  34. ema21_ema50_diff : 0.0124658
  35. price_ema100_diff : 0.012103
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.246635
  39. ema_slope_21 : 0.232145
  40. ema_slope_50 : 0.138783
  41. ema_slope_100 : 0.0917678
  42. rsi : 0.454682
  43. adx : 0.394227
  44. kc_percentage : 0.283
  45. kc_width_percentage : 0.0638941
  46. volume_ema_diff : 1.08218
  47. volume_ema1 : 418477.96191399
  48. volume_ema2 : 200980.31567009
  49. chop : 32.2302
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 2.48918
  54. ema21 : 2.50365
  55. ema50 : 2.4855
  56. ema100 : 2.4548
  57. price_ema9_diff : -0.0189572
  58. ema9_ema21_diff : -0.00577932
  59. ema21_ema50_diff : 0.00730185
  60. price_ema100_diff : -0.00521582
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : -0.137206
  64. ema_slope_21 : -0.0391847
  65. ema_slope_50 : 0.0375067
  66. ema_slope_100 : 0.0469647
  67. rsi : 0.331094
  68. adx : 0.373862
  69. kc_percentage : -0.0821192
  70. kc_width_percentage : 0.0432806
  71. volume_ema_diff : 1.22179
  72. volume_ema1 : 266756.4569734
  73. volume_ema2 : 120063.27497373
  74. chop : 28.9511
  75. regime : bear_high_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    124051
  80. 5m_price_ema100_diff:
    -0.00951587
  81. 5m_price:
    122871
  82. 5m_correlation_with_coin:
    0.505036
  83. btc_indicators
  84. 15m_ema100:
    124400
  85. 15m_price_ema100_diff:
    -0.0122964
  86. 15m_price:
    122871
  87. 15m_correlation_with_coin:
    0.027109
  88. btc_indicators
  89. 1H_ema100:
    123266
  90. 1H_price_ema100_diff:
    -0.00320947
  91. 1H_price:
    122871
  92. 1H_correlation_with_coin:
    0.123812
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
07 Oct 2025
10:31:28
07 Oct 2025
11:05:00
33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.442 2.405 2.516 2 1.5433
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 2.442
  • Stop Loss: 2.405
  • Take Profit: 2.516

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.405 - 2.442 = -0.037

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.442 - 2.516 = -0.074

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.074 / -0.037 = 2

📌 Position Size

Amount Margin Quantity Leverage
528.2249 100 216.3083 5.28
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 -0.037

Taille de position = 8 / -0.037 = -216.22

Taille de position USD = -216.22 x 2.442 = -528.01

Donc, tu peux acheter -216.22 avec un stoploss a 2.405

Avec un position size USD de -528.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -216.22 x -0.037 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -216.22 x -0.074 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -216.22
  • Taille de position USD -528.01
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.03 % 16.01 $
SL % Target SL $ Target
1.52 % 8 $
PNL PNL %
-8 $ -1.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5561 % 102.7 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.516
            [entry_price] => 2.442
            [stop_loss] => 2.4013
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-07 11:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.516
            [entry_price] => 2.442
            [stop_loss] => 2.3976
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-07 11:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.516
            [entry_price] => 2.442
            [stop_loss] => 2.3939
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-07 12:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.516
            [entry_price] => 2.442
            [stop_loss] => 2.3865
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-07 12:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.012
            [max_drawdown] => 0.056
            [rr_ratio] => 0.21
            [high] => 2.45400000
            [low] => 2.38600000
            [mfe_pct] => 0.49
            [mae_pct] => 2.29
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2025-10-07T10:31:28-04:00
            [end_at] => 2025-10-07T12:31:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.021
            [max_drawdown] => 0.056
            [rr_ratio] => 0.37
            [high] => 2.46300000
            [low] => 2.38600000
            [mfe_pct] => 0.86
            [mae_pct] => 2.29
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 84
            [start_at] => 2025-10-07T10:31:28-04:00
            [end_at] => 2025-10-07T17:31:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.57200000
            [high_after] => 2.46300000
            [low_before] => 2.40500000
            [low_after] => 2.38600000
            [is_new_high] => 
            [is_new_low] => 
        )

)