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Short Trade on ZRO

Short Trade on ZRO

The 31 Aug 2025 at 17:43:52

With 2098.5829 ZRO at 1.922$ per unit.

Position size of 4033.4764 $

Take profit at 1.9163 (0.3 %) and Stop Loss at 1.9258 (0.2 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 8
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.96
Prediction 2 Probability
0 0.83
Prediction 3 Probability
0 0.86
Market Regime Score BTC Correlation

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

 1

5m : 0.60517

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.002541397462
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 1.91934
  4. ema21 - 1.92448
  5. ema50 - 1.9358
  6. ema100 - 1.94749
  7. price_ema9_diff - 0.00138402
  8. ema9_ema21_diff - -0.00267145
  9. ema21_ema50_diff - -0.00584927
  10. price_ema100_diff - -0.0130929
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.478103
  14. adx - 0.0947788
  15. kc_percentage - 0.46282
  16. kc_width_percentage - 0.0287083
  17. volume_ema_diff - -0.449776
  18. volume_ema1 - 170937.42164285
  19. volume_ema2 - 310668.8257201
    20. ¸
  20. 15m
  21. ema9 - 1.91639
  22. ema21 - 1.917
  23. ema50 - 1.91975
  24. ema100 - 1.92478
  25. price_ema9_diff - 0.00292588
  26. ema9_ema21_diff - -0.000319357
  27. ema21_ema50_diff - -0.00143411
  28. price_ema100_diff - -0.00144936
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.507546
  32. adx - 0.13011
  33. kc_percentage - 0.740591
  34. kc_width_percentage - 0.0108869
  35. volume_ema_diff - -0.222531
  36. volume_ema1 - 35073.221355111
  37. volume_ema2 - 45112.084478211
    38. ¸
  38. 5m
  39. ema9 - 1.91715
  40. ema21 - 1.91666
  41. ema50 - 1.91709
  42. ema100 - 1.9172
  43. price_ema9_diff - 0.00252777
  44. ema9_ema21_diff - 0.000253408
  45. ema21_ema50_diff - -0.000221448
  46. price_ema100_diff - 0.0025005
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.602874
  50. adx - 0.145938
  51. kc_percentage - 1.04133
  52. kc_width_percentage - 0.00514313
  53. volume_ema_diff - -0.473719
  54. volume_ema1 - 7774.3015167537
  55. volume_ema2 - 14772.175373192
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108798
  59. 5m_price_ema100_diff: 0.00211028
  60. 5m_price: 109028
  61. 5m_correlation_with_coin: 0.60517
  62. btc_indicators
  63. 15m_ema100: 108735
  64. 15m_price_ema100_diff: 0.00221626
  65. 15m_price: 108976
  66. btc_indicators
  67. 1H_ema100: 109643
  68. 1H_price_ema100_diff: -0.00561596
  69. 1H_price: 109028
    70. ¸

📌 Time Data

Start at Closed at Duration
31 Aug 2025
17:43:52		 31 Aug 2025
18:00:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.922 1.9258 1.9163 1.5 1.832
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 1.922
  • Stop Loss: 1.9258
  • Take Profit: 1.9163

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9258 - 1.922 = 0.0038

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.922 - 1.9163 = 0.0057

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0057 / 0.0038 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
4033.4764 100 2098.5829 40.33
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 0.0038

Taille de position = 8 / 0.0038 = 2105.26

Taille de position USD = 2105.26 x 1.922 = 4046.31

Donc, tu peux acheter 2105.26 avec un stoploss a 1.9258

Avec un position size USD de 4046.31$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2105.26 x 0.0038 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2105.26 x 0.0057 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2105.26
  • Taille de position USD 4046.31
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.3 % 11.96 $
SL % Target SL $ Target
0.2 % 7.97 $
PNL PNL %
11.96 $ 0.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.9144
            [stop_loss] => 1.9258
            [rr_ratio] => 2
            [closed_at] => 2025-08-31 18:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.9125
            [stop_loss] => 1.9258
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-31 18:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.9106
            [stop_loss] => 1.9258
            [rr_ratio] => 3
            [closed_at] => 2025-08-31 18:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.9087
            [stop_loss] => 1.9258
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-31 18:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.9068
            [stop_loss] => 1.9258
            [rr_ratio] => 4
            [closed_at] => 2025-08-31 18:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.9049
            [stop_loss] => 1.9258
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-31 18:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.903
            [stop_loss] => 1.9258
            [rr_ratio] => 5
            [closed_at] => 2025-08-31 18:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.9011
            [stop_loss] => 1.9258
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-31 18:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.8992
            [stop_loss] => 1.9258
            [rr_ratio] => 6
            [closed_at] => 2025-08-31 18:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.8973
            [stop_loss] => 1.9258
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-31 18:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.8954
            [stop_loss] => 1.9258
            [rr_ratio] => 7
            [closed_at] => 2025-08-31 18:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.92200000
            [low] => 1.87500000
            [mfe_pct] => 2.45
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-31T17:43:52-04:00
            [end_at] => 2025-08-31T19:43:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.092
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.92200000
            [low] => 1.83000000
            [mfe_pct] => 4.79
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-31T17:43:52-04:00
            [end_at] => 2025-09-01T00:43:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.93000000
            [high_after] => 1.92200000
            [low_before] => 1.91100000
            [low_after] => 1.83500000
            [is_new_high] => 
            [is_new_low] => 1
        )

)