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Short Trade on ZRO

Short Trade on ZRO

The 29 Aug 2025 at 23:16:02

With 1074.0352 ZRO at 1.933$ per unit.

Position size of 2076.1101 $

Take profit at 1.9218 (0.58 %) and Stop Loss at 1.9404 (0.38 %)

That's a 1.51 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.27
Prediction Score: 1.1556
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.5
Prediction 3 Probability
0 0.77
Market Regime Score BTC Correlation

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

 2

5m : 0.635111

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.55
  4. atr: 0.00496569681
Details
  1. score: 1.55
  2. 1H
  3. ema9 - 1.92638
  4. ema21 - 1.94773
  5. ema50 - 1.96185
  6. ema100 - 1.95324
  7. price_ema9_diff - 0.00343391
  8. ema9_ema21_diff - -0.0109595
  9. ema21_ema50_diff - -0.00720032
  10. price_ema100_diff - -0.0103626
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.467249
  14. adx - 0.212224
  15. kc_percentage - 0.407675
  16. kc_width_percentage - 0.0750337
  17. volume_ema_diff - -0.809022
  18. volume_ema1 - 186280.558084
  19. volume_ema2 - 975404.4120677
    20. ¸
  20. 15m
  21. ema9 - 1.91635
  22. ema21 - 1.92003
  23. ema50 - 1.93593
  24. ema100 - 1.95539
  25. price_ema9_diff - 0.00868641
  26. ema9_ema21_diff - -0.00191744
  27. ema21_ema50_diff - -0.00821508
  28. price_ema100_diff - -0.0114504
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.544548
  32. adx - 0.209502
  33. kc_percentage - 0.794051
  34. kc_width_percentage - 0.0236566
  35. volume_ema_diff - -0.84379
  36. volume_ema1 - 22244.639168592
  37. volume_ema2 - 142402.50009875
    38. ¸
  38. 5m
  39. ema9 - 1.91764
  40. ema21 - 1.91234
  41. ema50 - 1.91606
  42. ema100 - 1.92031
  43. price_ema9_diff - 0.00800868
  44. ema9_ema21_diff - 0.00277061
  45. ema21_ema50_diff - -0.0019421
  46. price_ema100_diff - 0.00660488
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.704123
  50. adx - 0.204706
  51. kc_percentage - 1.54554
  52. kc_width_percentage - 0.0101767
  53. volume_ema_diff - -0.718621
  54. volume_ema1 - 5241.9517351858
  55. volume_ema2 - 18629.540943081
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108057
  59. 5m_price_ema100_diff: -0.000553077
  60. 5m_price: 107997
  61. 5m_correlation_with_coin: 0.635111
  62. btc_indicators
  63. 15m_ema100: 109050
  64. 15m_price_ema100_diff: -0.00965453
  65. 15m_price: 107997
  66. btc_indicators
  67. 1H_ema100: 110297
  68. 1H_price_ema100_diff: -0.0208526
  69. 1H_price: 107997
    70. ¸

📌 Time Data

Start at Closed at Duration
29 Aug 2025
23:16:02		 29 Aug 2025
23:20:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.933 1.9404 1.9218 1.51 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 1.933
  • Stop Loss: 1.9404
  • Take Profit: 1.9218

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9404 - 1.933 = 0.0073999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.933 - 1.9218 = 0.0112

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0112 / 0.0073999999999999 = 1.5135

📌 Position Size

Amount Margin Quantity Leverage
2076.1101 100 1074.0352 20.76
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 0.0073999999999999

Taille de position = 8 / 0.0073999999999999 = 1081.08

Taille de position USD = 1081.08 x 1.933 = 2089.73

Donc, tu peux acheter 1081.08 avec un stoploss a 1.9404

Avec un position size USD de 2089.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1081.08 x 0.0073999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1081.08 x 0.0112 = 12.11

Si Take Profit atteint, tu gagneras 12.11$

Résumé

  • Taille de position 1081.08
  • Taille de position USD 2089.73
  • Perte potentielle 8
  • Gain potentiel 12.11
  • Risk-Reward Ratio 1.5135

📌 Peformances

TP % Target TP $ Target
0.58 % 12.03 $
SL % Target SL $ Target
0.38 % 7.95 $
PNL PNL %
-7.95 $ -0.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7243 % 189.21 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.9218
            [entry_price] => 1.933
            [stop_loss] => 1.94114
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-08-29 23:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.9218
            [entry_price] => 1.933
            [stop_loss] => 1.94188
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-08-29 23:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.9218
            [entry_price] => 1.933
            [stop_loss] => 1.94262
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-08-29 23:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.9218
            [entry_price] => 1.933
            [stop_loss] => 1.9441
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-08-29 23:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0050000000000001
            [max_drawdown] => 0.023
            [rr_ratio] => 0.22
            [high] => 1.95600000
            [low] => 1.92800000
            [mfe_pct] => 0.26
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T23:16:02-04:00
            [end_at] => 2025-08-30T01:16:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0050000000000001
            [max_drawdown] => 0.031
            [rr_ratio] => 0.16
            [high] => 1.96400000
            [low] => 1.92800000
            [mfe_pct] => 0.26
            [mae_pct] => 1.6
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T23:16:02-04:00
            [end_at] => 2025-08-30T06:16:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.95500000
            [high_after] => 1.96400000
            [low_before] => 1.88000000
            [low_after] => 1.92800000
            [is_new_high] => 
            [is_new_low] => 
        )

)