Web3Way Logo

Short Trade on ZRO

Previous Trade Next Trade

Short Trade on ZRO 08 Jun 2025 at 07:30:58

Take profit at 2.099 (0.57 %) and Stop Loss at 2.119 (0.38 %)

Short Trade on ZRO

The 08 Jun 2025 at 07:30:58

With 998.5071 ZRO at 2.111$ per unit.

Position size of 2107.8484 $

Take profit at 2.099 (0.57 %) and Stop Loss at 2.119 (0.38 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 3.31
Prediction Score: 1.39
Prediction 1 Probability
Strong Trade
0.66
Prediction 2 Probability
1 0.4
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.496353

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.005341307615
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 2.11557
  4. ema21 : 2.12783
  5. ema50 : 2.14504
  6. ema100 : 2.1789
  7. price_ema9_diff : -0.00216481
  8. ema9_ema21_diff : -0.00575828
  9. ema21_ema50_diff : -0.00802227
  10. price_ema100_diff : -0.0311649
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.429718
  14. kc_percentage : 0.343414
  15. kc_width_percentage : 0.048763
  16. volume_ema_diff : -0.156758
    17. ¸
  17. 15m
  18. ema9 : 2.10264
  19. ema21 : 2.10916
  20. ema50 : 2.1217
  21. ema100 : 2.13449
  22. price_ema9_diff : 0.00397187
  23. ema9_ema21_diff : -0.00308768
  24. ema21_ema50_diff : -0.00591442
  25. price_ema100_diff : -0.011006
  26. all_emas_in_trend : True
  27. all_emas_and_price_in_trend : False
  28. rsi : 0.492299
  29. kc_percentage : 0.557281
  30. kc_width_percentage : 0.0201706
  31. volume_ema_diff : -0.829045
    32. ¸
  32. 5m
  33. ema9 : 2.1037
  34. ema21 : 2.10022
  35. ema50 : 2.10632
  36. ema100 : 2.11529
  37. price_ema9_diff : 0.00346662
  38. ema9_ema21_diff : 0.00165782
  39. ema21_ema50_diff : -0.0028963
  40. price_ema100_diff : -0.00203106
  41. all_emas_in_trend : False
  42. all_emas_and_price_in_trend : False
  43. rsi : 0.609549
  44. kc_percentage : 1.03991
  45. kc_width_percentage : 0.00945554
  46. volume_ema_diff : -0.720761
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 
    105349
  50. 5m_price_ema100_diff: 
    0.00174896
  51. 5m_price: 
    105533
  52. 5m_correlation_with_coin: 
    0.496353
  53. btc_indicators
  54. 15m_ema100: 
    105393
  55. 15m_price_ema100_diff: 
    0.0013348
  56. 15m_price: 
    105533
  57. btc_indicators
  58. 1H_ema100: 
    104826
  59. 1H_price_ema100_diff: 
    0.00675116
  60. 1H_price: 
    105533
    61. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Jun 2025
07:30:58		 08 Jun 2025
08:30:00		 59 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.111 2.119 2.099 1.5 1.8234
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 2.111
  • Stop Loss: 2.119
  • Take Profit: 2.099

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.119 - 2.111 = 0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.111 - 2.099 = 0.012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.012 / 0.008 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2107.8484 100 998.5071 21.08
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 2.111 = 2111

Donc, tu peux acheter 1000 avec un stoploss a 2.119

Avec un position size USD de 2111$

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 2111
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.57 % 11.98 $
SL % Target SL $ Target
0.38 % 7.99 $
PNL PNL %
11.98 $ 0.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2842 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.095
            [stop_loss] => 2.119
            [rr_ratio] => 2
            [closed_at] => 2025-06-08 08:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.091
            [stop_loss] => 2.119
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-08 09:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.087
            [stop_loss] => 2.119
            [rr_ratio] => 3
            [closed_at] => 2025-06-08 09:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.083
            [stop_loss] => 2.119
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-08 09:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.079
            [stop_loss] => 2.119
            [rr_ratio] => 4
            [closed_at] => 2025-06-08 09:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.075
            [stop_loss] => 2.119
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-08 09:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.071
            [stop_loss] => 2.119
            [rr_ratio] => 5
            [closed_at] => 2025-06-08 09:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.067
            [stop_loss] => 2.119
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-08 09:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.063
            [stop_loss] => 2.119
            [rr_ratio] => 6
            [closed_at] => 2025-06-08 09:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.059
            [stop_loss] => 2.119
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-08 09:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.055
            [stop_loss] => 2.119
            [rr_ratio] => 7
            [closed_at] => 2025-06-08 09:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.0059999999999998
            [rr_ratio] => 3.67
            [high] => 2.11700000
            [low] => 2.08900000
            [mfe_pct] => 1.04
            [mae_pct] => 0.28
            [mfe_mae_ratio] => 3.67
            [candles_analyzed] => 24
            [start_at] => 2025-06-08T07:30:58-04:00
            [end_at] => 2025-06-08T09:30:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.035
            [rr_ratio] => 0.63
            [high] => 2.14600000
            [low] => 2.08900000
            [mfe_pct] => 1.04
            [mae_pct] => 1.66
            [mfe_mae_ratio] => 0.63
            [candles_analyzed] => 72
            [start_at] => 2025-06-08T07:30:58-04:00
            [end_at] => 2025-06-08T13:30:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.13400000
            [high_after] => 2.14600000
            [low_before] => 2.07500000
            [low_after] => 2.08900000
            [is_new_high] => 
            [is_new_low] => 
        )

)