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Long Trade on ZRO

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Long Trade on ZRO 29 Sep 2025 at 18:10:10

Take profit at 2.3107 (0.68 %) and Stop Loss at 2.2872 (0.34 %)

Long Trade on ZRO

The 29 Sep 2025 at 18:10:10

With 1022.1707 ZRO at 2.295$ per unit.

Position size of 2345.8817 $

Take profit at 2.3107 (0.68 %) and Stop Loss at 2.2872 (0.34 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.05
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.75
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 : 0.276642

15m : 0.167133

1H : -0.01689

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.005217654366
Details
  1. score: 2.15
  2. 1H
  3. ema9 : 2.29729
  4. ema21 : 2.28999
  5. ema50 : 2.2898
  6. ema100 : 2.26946
  7. price_ema9_diff : -0.00100007
  8. ema9_ema21_diff : 0.00319102
  9. ema21_ema50_diff : 8.21604E-5
  10. price_ema100_diff : 0.0112521
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0873873
  14. ema_slope_21 : 0.0398202
  15. ema_slope_50 : 0.00664745
  16. ema_slope_100 : 0.0223624
  17. rsi : 0.510459
  18. adx : 0.225568
  19. kc_percentage : 0.534786
  20. kc_width_percentage : 0.0604643
  21. volume_ema_diff : -0.368093
  22. volume_ema1 : 239110.99174978
  23. volume_ema2 : 378396.01280882
  24. chop : 56.5544
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 2.30751
  28. ema21 : 2.30602
  29. ema50 : 2.29503
  30. ema100 : 2.28523
  31. price_ema9_diff : -0.00542391
  32. ema9_ema21_diff : 0.000647667
  33. ema21_ema50_diff : 0.00478708
  34. price_ema100_diff : 0.00427452
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0116167
  38. ema_slope_21 : 0.0354725
  39. ema_slope_50 : 0.0378225
  40. ema_slope_100 : 0.0268742
  41. rsi : 0.469728
  42. adx : 0.107613
  43. kc_percentage : 0.304155
  44. kc_width_percentage : 0.0253179
  45. volume_ema_diff : -0.73683
  46. volume_ema1 : 25987.057408015
  47. volume_ema2 : 98746.406701204
  48. chop : 72.4244
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 2.30281
  52. ema21 : 2.30701
  53. ema50 : 2.30696
  54. ema100 : 2.29879
  55. price_ema9_diff : -0.0033945
  56. ema9_ema21_diff : -0.00182123
  57. ema21_ema50_diff : 2.52541E-5
  58. price_ema100_diff : -0.00165114
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.032383
  62. ema_slope_21 : -0.0234738
  63. ema_slope_50 : -0.00495099
  64. ema_slope_100 : 0.00610266
  65. rsi : 0.372229
  66. adx : 0.100296
  67. kc_percentage : -0.148869
  68. kc_width_percentage : 0.00793457
  69. volume_ema_diff : -0.933907
  70. volume_ema1 : 1669.5558076912
  71. volume_ema2 : 25261.073717423
  72. chop : 56.3653
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113909
  77. 5m_price_ema100_diff: 
    0.00148395
  78. 5m_price: 
    114078
  79. 5m_correlation_with_coin: 
    0.276642
  80. btc_indicators
  81. 15m_ema100: 
    112760
  82. 15m_price_ema100_diff: 
    0.0116879
  83. 15m_price: 
    114078
  84. 15m_correlation_with_coin: 
    0.167133
  85. btc_indicators
  86. 1H_ema100: 
    110806
  87. 1H_price_ema100_diff: 
    0.0295255
  88. 1H_price: 
    114078
  89. 1H_correlation_with_coin: 
    -0.01689
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
18:10:10		 29 Sep 2025
18:30:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.295 2.2872 2.3107 2.01 1.6625
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 2.295
  • Stop Loss: 2.2872
  • Take Profit: 2.3107

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2872 - 2.295 = -0.0078

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.295 - 2.3107 = -0.0157

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0157 / -0.0078 = 2.0128

📌 Position Size

Amount Margin Quantity Leverage
2345.8817 100 1022.1707 23.46
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 -0.0078

Taille de position = 8 / -0.0078 = -1025.64

Taille de position USD = -1025.64 x 2.295 = -2353.84

Donc, tu peux acheter -1025.64 avec un stoploss a 2.2872

Avec un position size USD de -2353.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1025.64 x -0.0078 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1025.64 x -0.0157 = 16.1

Si Take Profit atteint, tu gagneras 16.1$

Résumé

  • Taille de position -1025.64
  • Taille de position USD -2353.84
  • Perte potentielle 8
  • Gain potentiel 16.1
  • Risk-Reward Ratio 2.0128

📌 Peformances

TP % Target TP $ Target
0.68 % 16.05 $
SL % Target SL $ Target
0.34 % 7.97 $
PNL PNL %
-7.97 $ -0.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3922 % 115.39 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.3107
            [entry_price] => 2.295
            [stop_loss] => 2.28642
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 18:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.3107
            [entry_price] => 2.295
            [stop_loss] => 2.28564
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 18:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.3107
            [entry_price] => 2.295
            [stop_loss] => 2.28486
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 18:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.3107
            [entry_price] => 2.295
            [stop_loss] => 2.2833
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 18:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0019999999999998
            [max_drawdown] => 0.042
            [rr_ratio] => -0.05
            [high] => 2.29300000
            [low] => 2.25300000
            [mfe_pct] => -0.09
            [mae_pct] => 1.83
            [mfe_mae_ratio] => -0.05
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T18:10:10-04:00
            [end_at] => 2025-09-29T20:10:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0019999999999998
            [max_drawdown] => 0.134
            [rr_ratio] => -0.01
            [high] => 2.29300000
            [low] => 2.16100000
            [mfe_pct] => -0.09
            [mae_pct] => 5.84
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T18:10:10-04:00
            [end_at] => 2025-09-30T01:10:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.33300000
            [high_after] => 2.29300000
            [low_before] => 2.29000000
            [low_after] => 2.16100000
            [is_new_high] => 
            [is_new_low] => 
        )

)