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Short Trade on VINE

Short Trade on VINE

The 03 Nov 2025 at 18:47:59

With 27224.7443 VINE at 0.03929$ per unit.

Position size of 1069.6602 $

Take profit at 0.0387 (1.5 %) and Stop Loss at 0.03958 (0.74 %)

That's a 2.03 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.7
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.6
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.686555

15m : -0.153733

1H : 0.054651

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0001959002175
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 0.0389936
  4. ema21 - 0.039809
  5. ema50 - 0.0411921
  6. ema100 - 0.0417542
  7. price_ema9_diff - 0.00759895
  8. ema9_ema21_diff - -0.020482
  9. ema21_ema50_diff - -0.0335774
  10. price_ema100_diff - -0.0590188
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.351345
  14. ema_slope_21 - -0.371122
  15. ema_slope_50 - -0.263937
  16. ema_slope_100 - -0.14473
  17. rsi - 0.437546
  18. adx - 0.459526
  19. kc_percentage - 0.398747
  20. kc_width_percentage - 0.112804
  21. volume_ema_diff - 0.279898
  22. volume_ema1 - 174583.67604622
  23. volume_ema2 - 136404.27128874
  24. chop - 32.5756
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0389091
  28. ema21 - 0.0387886
  29. ema50 - 0.0391975
  30. ema100 - 0.0401549
  31. price_ema9_diff - 0.00978762
  32. ema9_ema21_diff - 0.00310676
  33. ema21_ema50_diff - -0.0104317
  34. price_ema100_diff - -0.0215414
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.126464
  38. ema_slope_21 - 0.028564
  39. ema_slope_50 - -0.0512607
  40. ema_slope_100 - -0.0763124
  41. rsi - 0.588229
  42. adx - 0.300276
  43. kc_percentage - 0.808402
  44. kc_width_percentage - 0.0415475
  45. volume_ema_diff - -0.700026
  46. volume_ema1 - 16116.035754482
  47. volume_ema2 - 53724.811196614
  48. chop - 47.3574
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.039049
  52. ema21 - 0.0388685
  53. ema50 - 0.0386818
  54. ema100 - 0.0384684
  55. price_ema9_diff - 0.00616931
  56. ema9_ema21_diff - 0.00464611
  57. ema21_ema50_diff - 0.0048253
  58. price_ema100_diff - 0.0213551
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0853377
  62. ema_slope_21 - 0.0572495
  63. ema_slope_50 - 0.0363509
  64. ema_slope_100 - 0.0278708
  65. rsi - 0.654261
  66. adx - 0.153625
  67. kc_percentage - 1.04673
  68. kc_width_percentage - 0.0191252
  69. volume_ema_diff - -0.884818
  70. volume_ema1 - 3441.2979543099
  71. volume_ema2 - 29877.111471254
  72. chop - 41.0164
  73. regime - bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 106528
  77. 5m_price_ema100_diff: -9.20811E-5
  78. 5m_price: 106518
  79. 5m_correlation_with_coin: 0.686555
  80. btc_indicators
  81. 15m_ema100: 107619
  82. 15m_price_ema100_diff: -0.0102308
  83. 15m_price: 106518
  84. 15m_correlation_with_coin: -0.153733
  85. btc_indicators
  86. 1H_ema100: 108549
  87. 1H_price_ema100_diff: -0.018711
  88. 1H_price: 106518
  89. 1H_correlation_with_coin: 0.054651
    90. ¸

📌 Time Data

Start at Closed at Duration
03 Nov 2025
18:47:59		 03 Nov 2025
18:55:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03929 0.03958 0.0387 2.03 0.02651
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 0.03929
  • Stop Loss: 0.03958
  • Take Profit: 0.0387

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03958 - 0.03929 = 0.00029

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03929 - 0.0387 = 0.00059

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00059 / 0.00029 = 2.0345

📌 Position Size

Amount Margin Quantity Leverage
1069.6602 100 27224.7443 10.70
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 0.00029

Taille de position = 8 / 0.00029 = 27586.21

Taille de position USD = 27586.21 x 0.03929 = 1083.86

Donc, tu peux acheter 27586.21 avec un stoploss a 0.03958

Avec un position size USD de 1083.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 27586.21 x 0.00029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 27586.21 x 0.00059 = 16.28

Si Take Profit atteint, tu gagneras 16.28$

Résumé

  • Taille de position 27586.21
  • Taille de position USD 1083.86
  • Perte potentielle 8
  • Gain potentiel 16.28
  • Risk-Reward Ratio 2.0345

📌 Peformances

TP % Target TP $ Target
1.5 % 16.06 $
SL % Target SL $ Target
0.74 % 7.9 $
PNL PNL %
-7.9 $ -0.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8145 % 110.35 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0387
            [entry_price] => 0.03929
            [stop_loss] => 0.039609
            [rr_ratio] => 1.85
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-03 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0387
            [entry_price] => 0.03929
            [stop_loss] => 0.039638
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-03 19:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0387
            [entry_price] => 0.03929
            [stop_loss] => 0.039667
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-03 19:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0387
            [entry_price] => 0.03929
            [stop_loss] => 0.039725
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-03 19:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00024
            [max_drawdown] => 0.00129
            [rr_ratio] => 0.19
            [high] => 0.04058000
            [low] => 0.03905000
            [mfe_pct] => 0.61
            [mae_pct] => 3.28
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-11-03T18:47:59-05:00
            [end_at] => 2025-11-03T20:47:59-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00117
            [max_drawdown] => 0.00129
            [rr_ratio] => 0.91
            [high] => 0.04058000
            [low] => 0.03812000
            [mfe_pct] => 2.98
            [mae_pct] => 3.28
            [mfe_mae_ratio] => 0.91
            [candles_analyzed] => 84
            [start_at] => 2025-11-03T18:47:59-05:00
            [end_at] => 2025-11-04T01:47:59-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03946000
            [high_after] => 0.04058000
            [low_before] => 0.03753000
            [low_after] => 0.03843000
            [is_new_high] => 
            [is_new_low] => 
        )

)