Short Trade on ZRO

The 29 Aug 2025 at 23:57:50

With 1000.0327 ZRO at 1.942$ per unit.

Position size of 1942.0636 $

Take profit at 1.93 (0.62 %) and Stop Loss at 1.95 (0.41 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 1.04
Prediction Score: 1.8208
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.63
Prediction 3 Probability
0 0.92
Market Regime Score BTC Correlation

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

2

5m : 0.651016

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.00533315873
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 1.92818
  4. ema21 - 1.94854
  5. ema50 - 1.96221
  6. ema100 - 1.95341
  7. price_ema9_diff - 0.00716479
  8. ema9_ema21_diff - -0.010451
  9. ema21_ema50_diff - -0.00696193
  10. price_ema100_diff - -0.00584558
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.480744
  14. adx - 0.218383
  15. kc_percentage - 0.465975
  16. kc_width_percentage - 0.0794234
  17. volume_ema_diff - -0.701678
  18. volume_ema1 - 294792.84941733
  19. volume_ema2 - 988170.56398926
  20. ¸
  21. 15m
  22. ema9 - 1.92769
  23. ema21 - 1.92506
  24. ema50 - 1.93709
  25. ema100 - 1.95595
  26. price_ema9_diff - 0.00741899
  27. ema9_ema21_diff - 0.00136802
  28. ema21_ema50_diff - -0.00620786
  29. price_ema100_diff - -0.00713482
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.568691
  33. adx - 0.217808
  34. kc_percentage - 0.851399
  35. kc_width_percentage - 0.0250733
  36. volume_ema_diff - -0.562207
  37. volume_ema1 - 62556.601630485
  38. volume_ema2 - 142890.95025834
  39. ¸
  40. 5m
  41. ema9 - 1.9399
  42. ema21 - 1.9299
  43. ema50 - 1.92442
  44. ema100 - 1.92595
  45. price_ema9_diff - 0.00107824
  46. ema9_ema21_diff - 0.0051841
  47. ema21_ema50_diff - 0.0028491
  48. price_ema100_diff - 0.00832958
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.651127
  52. adx - 0.328075
  53. kc_percentage - 1.04582
  54. kc_width_percentage - 0.0108517
  55. volume_ema_diff - -0.408623
  56. volume_ema1 - 13501.466944298
  57. volume_ema2 - 22830.567918082
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 108144
  62. 5m_price_ema100_diff: 0.00201404
  63. 5m_price: 108362
  64. 5m_correlation_with_coin: 0.651016
  65. btc_indicators
  66. 15m_ema100: 109037
  67. 15m_price_ema100_diff: -0.00651708
  68. 15m_price: 108327
  69. btc_indicators
  70. 1H_ema100: 110304
  71. 1H_price_ema100_diff: -0.0176095
  72. 1H_price: 108362
  73. ¸

📌 Time Data

Start at Closed at Duration
29 Aug 2025
23:57:50
30 Aug 2025
00:40:00
42 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.942 1.95 1.93 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 1.942
  • Stop Loss: 1.95
  • Take Profit: 1.93

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.95 - 1.942 = 0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.942 - 1.93 = 0.012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.012 / 0.008 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1942.0636 100 1000.0327 19.42
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 0.008

Taille de position = 8 / 0.008 = 1000

Taille de position USD = 1000 x 1.942 = 1942

Donc, tu peux acheter 1000 avec un stoploss a 1.95

Avec un position size USD de 1942$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1000 x 0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1000 x 0.012 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1000
  • Taille de position USD 1942
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.62 % 12 $
SL % Target SL $ Target
0.41 % 8 $
PNL PNL %
12 $ 0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.926
            [stop_loss] => 1.95
            [rr_ratio] => 2
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 1.922
            [stop_loss] => 1.95
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.918
            [stop_loss] => 1.95
            [rr_ratio] => 3
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.914
            [stop_loss] => 1.95
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.91
            [stop_loss] => 1.95
            [rr_ratio] => 4
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.906
            [stop_loss] => 1.95
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.902
            [stop_loss] => 1.95
            [rr_ratio] => 5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.898
            [stop_loss] => 1.95
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.894
            [stop_loss] => 1.95
            [rr_ratio] => 6
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.89
            [stop_loss] => 1.95
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.886
            [stop_loss] => 1.95
            [rr_ratio] => 7
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.014
            [max_drawdown] => 0.017
            [rr_ratio] => 0.82
            [high] => 1.95900000
            [low] => 1.92800000
            [mfe_pct] => 0.72
            [mae_pct] => 0.88
            [mfe_mae_ratio] => 0.82
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T23:57:50-04:00
            [end_at] => 2025-08-30T01:57:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.014
            [max_drawdown] => 0.022
            [rr_ratio] => 0.64
            [high] => 1.96400000
            [low] => 1.92800000
            [mfe_pct] => 0.72
            [mae_pct] => 1.13
            [mfe_mae_ratio] => 0.64
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T23:57:50-04:00
            [end_at] => 2025-08-30T06:57:50-04:00
        )

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

)