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Short Trade on ZRO

Short Trade on ZRO

The 29 Aug 2025 at 17:58:31

With 750.2557 ZRO at 1.955$ per unit.

Position size of 1466.7499 $

Take profit at 1.939 (0.82 %) and Stop Loss at 1.9657 (0.55 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 3.78
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
1 0.68
Prediction 3 Probability
0 0.58
Market Regime Score BTC Correlation

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low

 3

5m : 0.517856

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.0071086874
Details
  1. score: 1.19
  2. 1H
  3. ema9 - 1.94747
  4. ema21 - 1.96912
  5. ema50 - 1.97433
  6. ema100 - 1.96705
  7. price_ema9_diff - 0.00386621
  8. ema9_ema21_diff - -0.0109952
  9. ema21_ema50_diff - -0.00264211
  10. price_ema100_diff - -0.00612755
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.47388
  14. adx - 0.269729
  15. kc_percentage - 0.423404
  16. kc_width_percentage - 0.087806
  17. volume_ema_diff - -0.506416
  18. volume_ema1 - 587574.03333181
  19. volume_ema2 - 1190425.7466824
    20. ¸
  20. 15m
  21. ema9 - 1.93607
  22. ema21 - 1.93789
  23. ema50 - 1.95778
  24. ema100 - 1.97371
  25. price_ema9_diff - 0.00977482
  26. ema9_ema21_diff - -0.000941298
  27. ema21_ema50_diff - -0.0101554
  28. price_ema100_diff - -0.00948331
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.556643
  32. adx - 0.256615
  33. kc_percentage - 0.779911
  34. kc_width_percentage - 0.0323638
  35. volume_ema_diff - -0.726252
  36. volume_ema1 - 75348.444636177
  37. volume_ema2 - 275247.49574204
    38. ¸
  38. 5m
  39. ema9 - 1.94443
  40. ema21 - 1.93548
  41. ema50 - 1.93427
  42. ema100 - 1.94478
  43. price_ema9_diff - 0.00543148
  44. ema9_ema21_diff - 0.0046278
  45. ema21_ema50_diff - 0.000621455
  46. price_ema100_diff - 0.00525169
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.657915
  50. adx - 0.227328
  51. kc_percentage - 1.19245
  52. kc_width_percentage - 0.014119
  53. volume_ema_diff - -0.728601
  54. volume_ema1 - 13247.151136103
  55. volume_ema2 - 48810.700512041
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108395
  59. 5m_price_ema100_diff: -0.000399839
  60. 5m_price: 108352
  61. 5m_correlation_with_coin: 0.517856
  62. btc_indicators
  63. 15m_ema100: 109730
  64. 15m_price_ema100_diff: -0.0123677
  65. 15m_price: 108373
  66. btc_indicators
  67. 1H_ema100: 111058
  68. 1H_price_ema100_diff: -0.0243679
  69. 1H_price: 108352
    70. ¸

📌 Time Data

Start at Closed at Duration
29 Aug 2025
17:58:31		 29 Aug 2025
20:05:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.955 1.9657 1.939 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 1.955
  • Stop Loss: 1.9657
  • Take Profit: 1.939

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9657 - 1.955 = 0.0107

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.955 - 1.939 = 0.016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.016 / 0.0107 = 1.4953

📌 Position Size

Amount Margin Quantity Leverage
1466.7499 100 750.2557 14.67
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 0.0107

Taille de position = 8 / 0.0107 = 747.66

Taille de position USD = 747.66 x 1.955 = 1461.68

Donc, tu peux acheter 747.66 avec un stoploss a 1.9657

Avec un position size USD de 1461.68$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 747.66 x 0.0107 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 747.66 x 0.016 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position 747.66
  • Taille de position USD 1461.68
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4953

📌 Peformances

TP % Target TP $ Target
0.82 % 12 $
SL % Target SL $ Target
0.55 % 8.03 $
PNL PNL %
12 $ 0.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1535 % 28.05 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.9336
            [stop_loss] => 1.9657
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 20:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.92825
            [stop_loss] => 1.9657
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 20:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.9229
            [stop_loss] => 1.9657
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 20:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.91755
            [stop_loss] => 1.9657
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 20:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.9122
            [stop_loss] => 1.9657
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 20:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.90685
            [stop_loss] => 1.9657
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 20:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.9015
            [stop_loss] => 1.9657
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 21:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.89615
            [stop_loss] => 1.9657
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.8908
            [stop_loss] => 1.9657
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.88545
            [stop_loss] => 1.9657
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.8801
            [stop_loss] => 1.9657
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.015
            [max_drawdown] => 0.0029999999999999
            [rr_ratio] => 5
            [high] => 1.95800000
            [low] => 1.94000000
            [mfe_pct] => 0.77
            [mae_pct] => 0.15
            [mfe_mae_ratio] => 5
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T17:58:31-04:00
            [end_at] => 2025-08-29T19:58:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.075
            [max_drawdown] => 0.0029999999999999
            [rr_ratio] => 25
            [high] => 1.95800000
            [low] => 1.88000000
            [mfe_pct] => 3.84
            [mae_pct] => 0.15
            [mfe_mae_ratio] => 25
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T17:58:31-04:00
            [end_at] => 2025-08-30T00:58:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.95900000
            [high_after] => 1.95800000
            [low_before] => 1.90500000
            [low_after] => 1.88000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)