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Short Trade on ZRO

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Short Trade on ZRO 02 Jun 2025 at 08:45:31

Take profit at 2.2476 (0.72 %) and Stop Loss at 2.275 (0.49 %)

Short Trade on ZRO

The 02 Jun 2025 at 08:45:31

With 729.6849 ZRO at 2.264$ per unit.

Position size of 1652.0065 $

Take profit at 2.2476 (0.72 %) and Stop Loss at 2.275 (0.49 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 1.13
Prediction Score: -0.6204
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.43
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.679554

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.007309091362
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 2.25915
  4. ema21 : 2.26913
  5. ema50 : 2.28865
  6. ema100 : 2.35978
  7. price_ema9_diff : 0.00214506
  8. ema9_ema21_diff : -0.0043997
  9. ema21_ema50_diff : -0.00852882
  10. price_ema100_diff : -0.0405895
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.482833
  14. kc_percentage : 0.457054
  15. kc_width_percentage : 0.049044
    16. ¸
  16. 15m
  17. ema9 : 2.24729
  18. ema21 : 2.25106
  19. ema50 : 2.2642
  20. ema100 : 2.26766
  21. price_ema9_diff : 0.00743352
  22. ema9_ema21_diff : -0.00167345
  23. ema21_ema50_diff : -0.00580304
  24. price_ema100_diff : -0.00161634
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.549067
  28. kc_percentage : 0.733955
  29. kc_width_percentage : 0.0255209
    30. ¸
  30. 5m
  31. ema9 : 2.25403
  32. ema21 : 2.24686
  33. ema50 : 2.24787
  34. ema100 : 2.25592
  35. price_ema9_diff : 0.00441957
  36. ema9_ema21_diff : 0.00319098
  37. ema21_ema50_diff : -0.00044567
  38. price_ema100_diff : 0.00358009
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.675589
  42. kc_percentage : 1.07964
  43. kc_width_percentage : 0.0128269
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    104591
  47. 5m_price_ema100_diff: 
    -0.00436355
  48. 5m_price: 
    104134
  49. 5m_correlation_with_coin: 
    0.679554
  50. btc_indicators
  51. 15m_ema100: 
    104720
  52. 15m_price_ema100_diff: 
    -0.00559146
  53. 15m_price: 
    104134
  54. btc_indicators
  55. 1H_ema100: 
    105241
  56. 1H_price_ema100_diff: 
    -0.0105147
  57. 1H_price: 
    104134
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
02 Jun 2025
08:45:31		 02 Jun 2025
09:10:00		 24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.264 2.275 2.2476 1.49 1.7209
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 2.264
  • Stop Loss: 2.275
  • Take Profit: 2.2476

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.275 - 2.264 = 0.011

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.264 - 2.2476 = 0.0164

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0164 / 0.011 = 1.4909

📌 Position Size

Amount Margin Quantity Leverage
1652.0065 100 729.6849 16.52
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 0.011

Taille de position = 8 / 0.011 = 727.27

Taille de position USD = 727.27 x 2.264 = 1646.54

Donc, tu peux acheter 727.27 avec un stoploss a 2.275

Avec un position size USD de 1646.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 727.27 x 0.011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 727.27 x 0.0164 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

  • Taille de position 727.27
  • Taille de position USD 1646.54
  • Perte potentielle 8
  • Gain potentiel 11.93
  • Risk-Reward Ratio 1.4909

📌 Peformances

TP % Target TP $ Target
0.72 % 11.97 $
SL % Target SL $ Target
0.49 % 8.03 $
PNL PNL %
11.67 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.26501766784453 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.242
            [stop_loss] => 2.275
            [rr_ratio] => 2
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 2.2365
            [stop_loss] => 2.275
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.231
            [stop_loss] => 2.275
            [rr_ratio] => 3
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.2255
            [stop_loss] => 2.275
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.22
            [stop_loss] => 2.275
            [rr_ratio] => 4
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.2145
            [stop_loss] => 2.275
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.209
            [stop_loss] => 2.275
            [rr_ratio] => 5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.2035
            [stop_loss] => 2.275
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.198
            [stop_loss] => 2.275
            [rr_ratio] => 6
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.1925
            [stop_loss] => 2.275
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.187
            [stop_loss] => 2.275
            [rr_ratio] => 7
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.021
            [max_drawdown] => 0.02
            [rr_ratio] => 1.05
            [high] => 2.28400000
            [low] => 2.24300000
            [mfe_pct] => 0.93
            [mae_pct] => 0.88
            [mfe_mae_ratio] => 1.05
            [candles_analyzed] => 24
            [start_at] => 2025-06-02T08:45:31-04:00
            [end_at] => 2025-06-02T10:45:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.021
            [max_drawdown] => 0.044
            [rr_ratio] => 0.48
            [high] => 2.30800000
            [low] => 2.24300000
            [mfe_pct] => 0.93
            [mae_pct] => 1.94
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 72
            [start_at] => 2025-06-02T08:45:31-04:00
            [end_at] => 2025-06-02T14:45:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.27200000
            [high_after] => 2.30800000
            [low_before] => 2.22000000
            [low_after] => 2.24300000
            [is_new_high] => 
            [is_new_low] => 
        )

)