Web3Way Logo

Short Trade on ZRO

Short Trade on ZRO

The 29 Aug 2025 at 23:40:41

With 974.9569 ZRO at 1.945$ per unit.

Position size of 1896.2911 $

Take profit at 1.9327 (0.63 %) and Stop Loss at 1.9532 (0.42 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 1.67
Prediction Score: 1.85
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.53
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 : 0.657237

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.36
  4. atr: 0.005470327403
Details
  1. score: 1.36
  2. 1H
  3. ema9 - 1.92878
  4. ema21 - 1.94882
  5. ema50 - 1.96232
  6. ema100 - 1.95347
  7. price_ema9_diff - 0.00840687
  8. ema9_ema21_diff - -0.0102816
  9. ema21_ema50_diff - -0.00688248
  10. price_ema100_diff - -0.00434009
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.485091
  14. adx - 0.218383
  15. kc_percentage - 0.483573
  16. kc_width_percentage - 0.0793009
  17. volume_ema_diff - -0.712713
  18. volume_ema1 - 283506.18941733
  19. volume_ema2 - 986842.72163632
    20. ¸
  20. 15m
  21. ema9 - 1.92412
  22. ema21 - 1.92337
  23. ema50 - 1.93696
  24. ema100 - 1.95678
  25. price_ema9_diff - 0.0108501
  26. ema9_ema21_diff - 0.000390633
  27. ema21_ema50_diff - -0.00701829
  28. price_ema100_diff - -0.00602495
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.57834
  32. adx - 0.221528
  33. kc_percentage - 0.929335
  34. kc_width_percentage - 0.0262394
  35. volume_ema_diff - -0.460899
  36. volume_ema1 - 79711.031445728
  37. volume_ema2 - 147859.42213931
    38. ¸
  38. 5m
  39. ema9 - 1.93717
  40. ema21 - 1.92566
  41. ema50 - 1.92212
  42. ema100 - 1.92518
  43. price_ema9_diff - 0.00403826
  44. ema9_ema21_diff - 0.00598058
  45. ema21_ema50_diff - 0.00183901
  46. price_ema100_diff - 0.0102906
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.710303
  50. adx - 0.310182
  51. kc_percentage - 1.35719
  52. kc_width_percentage - 0.0112669
  53. volume_ema_diff - -0.00446511
  54. volume_ema1 - 24698.14977034
  55. volume_ema2 - 24808.924453963
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108146
  59. 5m_price_ema100_diff: 0.00141863
  60. 5m_price: 108300
  61. 5m_correlation_with_coin: 0.657237
  62. btc_indicators
  63. 15m_ema100: 109038
  64. 15m_price_ema100_diff: -0.00704296
  65. 15m_price: 108270
  66. btc_indicators
  67. 1H_ema100: 110303
  68. 1H_price_ema100_diff: -0.0181624
  69. 1H_price: 108300
    70. ¸

📌 Time Data

Start at Closed at Duration
29 Aug 2025
23:40:41		 30 Aug 2025
00:35:00		 54 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.945 1.9532 1.9327 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 1.945
  • Stop Loss: 1.9532
  • Take Profit: 1.9327

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9532 - 1.945 = 0.0082

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.945 - 1.9327 = 0.0123

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0123 / 0.0082 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1896.2911 100 974.9569 18.96
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 0.0082

Taille de position = 8 / 0.0082 = 975.61

Taille de position USD = 975.61 x 1.945 = 1897.56

Donc, tu peux acheter 975.61 avec un stoploss a 1.9532

Avec un position size USD de 1897.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 975.61 x 0.0082 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 975.61 x 0.0123 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 975.61
  • Taille de position USD 1897.56
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.63 % 11.99 $
SL % Target SL $ Target
0.42 % 7.99 $
PNL PNL %
11.99 $ 0.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.9286
            [stop_loss] => 1.9532
            [rr_ratio] => 2
            [closed_at] => 2025-08-30 00:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.9245
            [stop_loss] => 1.9532
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.9204
            [stop_loss] => 1.9532
            [rr_ratio] => 3
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.9163
            [stop_loss] => 1.9532
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.9122
            [stop_loss] => 1.9532
            [rr_ratio] => 4
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.9081
            [stop_loss] => 1.9532
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.904
            [stop_loss] => 1.9532
            [rr_ratio] => 5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.8999
            [stop_loss] => 1.9532
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.8958
            [stop_loss] => 1.9532
            [rr_ratio] => 6
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.8917
            [stop_loss] => 1.9532
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-30 01:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.8876
            [stop_loss] => 1.9532
            [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] => 0.017
            [max_drawdown] => 0.012
            [rr_ratio] => 1.42
            [high] => 1.95700000
            [low] => 1.92800000
            [mfe_pct] => 0.87
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 1.42
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T23:40:41-04:00
            [end_at] => 2025-08-30T01:40:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.017
            [max_drawdown] => 0.019
            [rr_ratio] => 0.89
            [high] => 1.96400000
            [low] => 1.92800000
            [mfe_pct] => 0.87
            [mae_pct] => 0.98
            [mfe_mae_ratio] => 0.89
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T23:40:41-04:00
            [end_at] => 2025-08-30T06:40:41-04:00
        )

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

)