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Short Trade on ZRO

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Short Trade on ZRO 02 Jun 2025 at 08:49:34

Take profit at 2.2476 (0.77 %) and Stop Loss at 2.2766 (0.51 %)

Short Trade on ZRO

The 02 Jun 2025 at 08:49:34

With 689.2693 ZRO at 2.265$ per unit.

Position size of 1561.1949 $

Take profit at 2.2476 (0.77 %) and Stop Loss at 2.2766 (0.51 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 1.23
Prediction Score: -0.6204
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
0 0.5
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: 0.06
  4. atr: 0.00773766279
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 2.25935
  4. ema21 : 2.26922
  5. ema50 : 2.28869
  6. ema100 : 2.3598
  7. price_ema9_diff : 0.00249895
  8. ema9_ema21_diff : -0.00435145
  9. ema21_ema50_diff : -0.00850609
  10. price_ema100_diff : -0.0401738
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.485125
  14. kc_percentage : 0.465451
  15. kc_width_percentage : 0.0493756
    16. ¸
  16. 15m
  17. ema9 : 2.24749
  18. ema21 : 2.25115
  19. ema50 : 2.26424
  20. ema100 : 2.26768
  21. price_ema9_diff : 0.00778881
  22. ema9_ema21_diff : -0.00162493
  23. ema21_ema50_diff : -0.00578011
  24. price_ema100_diff : -0.00118408
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.553389
  28. kc_percentage : 0.746205
  29. kc_width_percentage : 0.0258628
    30. ¸
  30. 5m
  31. ema9 : 2.25423
  32. ema21 : 2.24695
  33. ema50 : 2.2479
  34. ema100 : 2.25594
  35. price_ema9_diff : 0.00477406
  36. ema9_ema21_diff : 0.0032394
  37. ema21_ema50_diff : -0.000422666
  38. price_ema100_diff : 0.00401455
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.681314
  42. kc_percentage : 1.06417
  43. kc_width_percentage : 0.0138808
    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
08:49:34		 02 Jun 2025
09:10:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.265 2.2766 2.2476 1.5 1.5498
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 2.265
  • Stop Loss: 2.2766
  • Take Profit: 2.2476

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2766 - 2.265 = 0.0116

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.265 - 2.2476 = 0.0174

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0174 / 0.0116 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1561.1949 100 689.2693 15.61
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 0.0116

Taille de position = 8 / 0.0116 = 689.66

Taille de position USD = 689.66 x 2.265 = 1562.08

Donc, tu peux acheter 689.66 avec un stoploss a 2.2766

Avec un position size USD de 1562.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 689.66 x 0.0116 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 689.66 x 0.0174 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 689.66
  • Taille de position USD 1562.08
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.77 % 11.99 $
SL % Target SL $ Target
0.51 % 8 $
PNL PNL %
11.72 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.22075055187637 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.241
            [stop_loss] => 2.277
            [rr_ratio] => 2
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 2.235
            [stop_loss] => 2.277
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.229
            [stop_loss] => 2.277
            [rr_ratio] => 3
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.223
            [stop_loss] => 2.277
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.217
            [stop_loss] => 2.277
            [rr_ratio] => 4
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.211
            [stop_loss] => 2.277
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.205
            [stop_loss] => 2.277
            [rr_ratio] => 5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.199
            [stop_loss] => 2.277
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.193
            [stop_loss] => 2.277
            [rr_ratio] => 6
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.187
            [stop_loss] => 2.277
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-02 09:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.181
            [stop_loss] => 2.277
            [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] => 0.022
            [max_drawdown] => 0.019
            [rr_ratio] => 1.16
            [high] => 2.28400000
            [low] => 2.24300000
            [mfe_pct] => 0.97
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 1.16
            [candles_analyzed] => 24
            [start_at] => 2025-06-02T08:49:34-04:00
            [end_at] => 2025-06-02T10:49:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.043
            [rr_ratio] => 0.51
            [high] => 2.30800000
            [low] => 2.24300000
            [mfe_pct] => 0.97
            [mae_pct] => 1.9
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 72
            [start_at] => 2025-06-02T08:49:34-04:00
            [end_at] => 2025-06-02T14:49:34-04:00
        )

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

)