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Short Trade on ZRO

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Short Trade on ZRO 30 Sep 2025 at 00:44:38

Take profit at 2.172 (1 %) and Stop Loss at 2.205 (0.5 %)

Short Trade on ZRO

The 30 Sep 2025 at 00:44:38

With 726.2498 ZRO at 2.194$ per unit.

Position size of 1593.3921 $

Take profit at 2.172 (1 %) and Stop Loss at 2.205 (0.5 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.79
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.238668

15m : -0.08657

1H : -0.018395

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.007343662428
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 2.21637
  4. ema21 : 2.24645
  5. ema50 : 2.26898
  6. ema100 : 2.26248
  7. price_ema9_diff : -0.0100946
  8. ema9_ema21_diff : -0.0133907
  9. ema21_ema50_diff : -0.00992907
  10. price_ema100_diff : -0.0302713
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.227419
  14. ema_slope_21 : -0.118971
  15. ema_slope_50 : -0.0627036
  16. ema_slope_100 : -0.0177351
  17. rsi : 0.388076
  18. adx : 0.232828
  19. kc_percentage : 0.15204
  20. kc_width_percentage : 0.066693
  21. volume_ema_diff : -0.408238
  22. volume_ema1 : 210453.836986
  23. volume_ema2 : 355639.90069117
  24. chop : 41.5572
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.17831
  28. ema21 : 2.20003
  29. ema50 : 2.2345
  30. ema100 : 2.2504
  31. price_ema9_diff : 0.0072001
  32. ema9_ema21_diff : -0.00987019
  33. ema21_ema50_diff : -0.0154281
  34. price_ema100_diff : -0.0250632
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.139056
  38. ema_slope_21 : -0.179688
  39. ema_slope_50 : -0.127109
  40. ema_slope_100 : -0.0714008
  41. rsi : 0.342555
  42. adx : 0.467652
  43. kc_percentage : 0.421902
  44. kc_width_percentage : 0.0243984
  45. volume_ema_diff : -0.658928
  46. volume_ema1 : 24680.138233404
  47. volume_ema2 : 72360.513551532
  48. chop : 68.3651
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 2.17892
  52. ema21 : 2.17846
  53. ema50 : 2.19366
  54. ema100 : 2.22346
  55. price_ema9_diff : 0.00691889
  56. ema9_ema21_diff : 0.00021242
  57. ema21_ema50_diff : -0.00693033
  58. price_ema100_diff : -0.0132505
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.00358617
  62. ema_slope_21 : -0.0219509
  63. ema_slope_50 : -0.0445146
  64. ema_slope_100 : -0.0498475
  65. rsi : 0.608882
  66. adx : 0.34993
  67. kc_percentage : 1.04078
  68. kc_width_percentage : 0.013287
  69. volume_ema_diff : 0.789587
  70. volume_ema1 : 32751.657870108
  71. volume_ema2 : 18301.230759584
  72. chop : 42.6384
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    114284
  77. 5m_price_ema100_diff: 
    -0.00127862
  78. 5m_price: 
    114137
  79. 5m_correlation_with_coin: 
    0.238668
  80. btc_indicators
  81. 15m_ema100: 
    113480
  82. 15m_price_ema100_diff: 
    0.00621816
  83. 15m_price: 
    114186
  84. 15m_correlation_with_coin: 
    -0.08657
  85. btc_indicators
  86. 1H_ema100: 
    111250
  87. 1H_price_ema100_diff: 
    0.0259537
  88. 1H_price: 
    114137
  89. 1H_correlation_with_coin: 
    -0.018395
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
00:44:38		 30 Sep 2025
01:05:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.194 2.205 2.172 2 1.618
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 2.194
  • Stop Loss: 2.205
  • Take Profit: 2.172

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.205 - 2.194 = 0.011

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.194 - 2.172 = 0.022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.022 / 0.011 = 2

📌 Position Size

Amount Margin Quantity Leverage
1593.3921 100 726.2498 15.93
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 0.011

Taille de position = 8 / 0.011 = 727.27

Taille de position USD = 727.27 x 2.194 = 1595.63

Donc, tu peux acheter 727.27 avec un stoploss a 2.205

Avec un position size USD de 1595.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 727.27 x 0.011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 727.27 x 0.022 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 727.27
  • Taille de position USD 1595.63
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1 % 15.98 $
SL % Target SL $ Target
0.5 % 7.99 $
PNL PNL %
-7.99 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5014 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.172
            [entry_price] => 2.194
            [stop_loss] => 2.2061
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 01:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.172
            [entry_price] => 2.194
            [stop_loss] => 2.2072
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 01:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.172
            [entry_price] => 2.194
            [stop_loss] => 2.2083
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 01:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.172
            [entry_price] => 2.194
            [stop_loss] => 2.2105
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 01:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0099999999999998
            [max_drawdown] => 0.026
            [rr_ratio] => 0.38
            [high] => 2.22000000
            [low] => 2.18400000
            [mfe_pct] => 0.46
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T00:44:38-04:00
            [end_at] => 2025-09-30T02:44:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.108
            [max_drawdown] => 0.026
            [rr_ratio] => 4.15
            [high] => 2.22000000
            [low] => 2.08600000
            [mfe_pct] => 4.92
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 4.15
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T00:44:38-04:00
            [end_at] => 2025-09-30T07:44:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.24000000
            [high_after] => 2.22000000
            [low_before] => 2.16100000
            [low_after] => 2.09100000
            [is_new_high] => 
            [is_new_low] => 1
        )

)