Short Trade on ZRO

The 29 Aug 2025 at 23:28:24

With 872.7102 ZRO at 1.949$ per unit.

Position size of 1700.9121 $

Take profit at 1.9352 (0.71 %) and Stop Loss at 1.9582 (0.47 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 4.84
Prediction Score: 4.3883
Prediction 1 Probability
Strong Trade
0.51
Prediction 2 Probability
2 0.41
Prediction 3 Probability
0 0.66
Market Regime Score BTC Correlation

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

2

5m : 0.649232

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.63
  4. atr: 0.006111230844
Details
  1. score: 1.63
  2. 1H
  3. ema9 - 1.92958
  4. ema21 - 1.94918
  5. ema50 - 1.96248
  6. ema100 - 1.95355
  7. price_ema9_diff - 0.0100617
  8. ema9_ema21_diff - -0.0100558
  9. ema21_ema50_diff - -0.00677657
  10. price_ema100_diff - -0.00233291
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.490776
  14. adx - 0.218383
  15. kc_percentage - 0.507036
  16. kc_width_percentage - 0.0791381
  17. volume_ema_diff - -0.722704
  18. volume_ema1 - 273314.558084
  19. volume_ema2 - 985643.70618534
  20. ¸
  21. 15m
  22. ema9 - 1.91835
  23. ema21 - 1.92094
  24. ema50 - 1.93633
  25. ema100 - 1.95558
  26. price_ema9_diff - 0.0159752
  27. ema9_ema21_diff - -0.00134863
  28. ema21_ema50_diff - -0.00794645
  29. price_ema100_diff - -0.00336887
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.579769
  33. adx - 0.216096
  34. kc_percentage - 1.07299
  35. kc_width_percentage - 0.0255147
  36. volume_ema_diff - -0.794481
  37. volume_ema1 - 29440.378501925
  38. volume_ema2 - 143249.05766738
  39. ¸
  40. 5m
  41. ema9 - 1.93037
  42. ema21 - 1.91953
  43. ema50 - 1.91899
  44. ema100 - 1.92164
  45. price_ema9_diff - 0.00965047
  46. ema9_ema21_diff - 0.00564271
  47. ema21_ema50_diff - 0.000283389
  48. price_ema100_diff - 0.0142348
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.764173
  52. adx - 0.263955
  53. kc_percentage - 1.62606
  54. kc_width_percentage - 0.0132447
  55. volume_ema_diff - 1.47674
  56. volume_ema1 - 66340.016474897
  57. volume_ema2 - 26785.118724037
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 108098
  62. 5m_price_ema100_diff: 0.000390187
  63. 5m_price: 108140
  64. 5m_correlation_with_coin: 0.649232
  65. btc_indicators
  66. 15m_ema100: 109051
  67. 15m_price_ema100_diff: -0.00929133
  68. 15m_price: 108037
  69. btc_indicators
  70. 1H_ema100: 110300
  71. 1H_price_ema100_diff: -0.0195813
  72. 1H_price: 108140
  73. ¸

📌 Time Data

Start at Closed at Duration
29 Aug 2025
23:28:24
30 Aug 2025
00:10:00
41 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.949 1.9582 1.9352 1.5 1.837
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 1.949
  • Stop Loss: 1.9582
  • Take Profit: 1.9352

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9582 - 1.949 = 0.0091999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.949 - 1.9352 = 0.0138

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0138 / 0.0091999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1700.9121 100 872.7102 17.01
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 0.0091999999999999

Taille de position = 8 / 0.0091999999999999 = 869.57

Taille de position USD = 869.57 x 1.949 = 1694.79

Donc, tu peux acheter 869.57 avec un stoploss a 1.9582

Avec un position size USD de 1694.79$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 869.57 x 0.0091999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 869.57 x 0.0138 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 869.57
  • Taille de position USD 1694.79
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.71 % 12.04 $
SL % Target SL $ Target
0.47 % 8.03 $
PNL PNL %
12.04 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.9306
            [stop_loss] => 1.9582
            [rr_ratio] => 2
            [closed_at] => 2025-08-30 00:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.926
            [stop_loss] => 1.9582
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.9214
            [stop_loss] => 1.9582
            [rr_ratio] => 3
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.9168
            [stop_loss] => 1.9582
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.9122
            [stop_loss] => 1.9582
            [rr_ratio] => 4
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.9076
            [stop_loss] => 1.9582
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.903
            [stop_loss] => 1.9582
            [rr_ratio] => 5
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.8984
            [stop_loss] => 1.9582
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.8938
            [stop_loss] => 1.9582
            [rr_ratio] => 6
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.8892
            [stop_loss] => 1.9582
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.8846
            [stop_loss] => 1.9582
            [rr_ratio] => 7
            [closed_at] => 2025-08-30 01:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.021
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.94700000
            [low] => 1.92800000
            [mfe_pct] => 1.08
            [mae_pct] => -0.1
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T23:28:24-04:00
            [end_at] => 2025-08-30T01:28:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.021
            [max_drawdown] => 0.015
            [rr_ratio] => 1.4
            [high] => 1.96400000
            [low] => 1.92800000
            [mfe_pct] => 1.08
            [mae_pct] => 0.77
            [mfe_mae_ratio] => 1.4
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T23:28:24-04:00
            [end_at] => 2025-08-30T06:28:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.95600000
            [high_after] => 1.96400000
            [low_before] => 1.88000000
            [low_after] => 1.92800000
            [is_new_high] => 
            [is_new_low] => 
        )

)