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Short Trade on VINE

Short Trade on VINE

The 13 Nov 2025 at 18:20:37

With 25100.869 VINE at 0.03457$ per unit.

Position size of 867.737 $

Take profit at 0.03393 (1.85 %) and Stop Loss at 0.03489 (0.93 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.29
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.84
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.283275

15m : 0.021844

1H : -0.099159

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0002124760431
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.0354363
  4. ema21 - 0.0378693
  5. ema50 - 0.0402826
  6. ema100 - 0.0417665
  7. price_ema9_diff - -0.0244484
  8. ema9_ema21_diff - -0.0642467
  9. ema21_ema50_diff - -0.0599089
  10. price_ema100_diff - -0.172304
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -1.34294
  14. ema_slope_21 - -0.876404
  15. ema_slope_50 - -0.478735
  16. ema_slope_100 - -0.275616
  17. rsi - 0.298555
  18. adx - 0.417704
  19. kc_percentage - -0.0481435
  20. kc_width_percentage - 0.166315
  21. volume_ema_diff - 0.122097
  22. volume_ema1 - 245872.35680079
  23. volume_ema2 - 219118.57008476
  24. chop - 12.1869
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0341688
  28. ema21 - 0.034567
  29. ema50 - 0.0366067
  30. ema100 - 0.038528
  31. price_ema9_diff - 0.0117401
  32. ema9_ema21_diff - -0.0115193
  33. ema21_ema50_diff - -0.0557207
  34. price_ema100_diff - -0.102732
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0334315
  38. ema_slope_21 - -0.287511
  39. ema_slope_50 - -0.360822
  40. ema_slope_100 - -0.263305
  41. rsi - 0.447996
  42. adx - 0.459721
  43. kc_percentage - 0.530788
  44. kc_width_percentage - 0.0644941
  45. volume_ema_diff - -0.774974
  46. volume_ema1 - 20224.377348526
  47. volume_ema2 - 89875.84363883
  48. chop - 65.3167
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0343957
  52. ema21 - 0.034105
  53. ema50 - 0.0341978
  54. ema100 - 0.0352141
  55. price_ema9_diff - 0.00506647
  56. ema9_ema21_diff - 0.00852421
  57. ema21_ema50_diff - -0.0027151
  58. price_ema100_diff - -0.0182919
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.24467
  62. ema_slope_21 - 0.156586
  63. ema_slope_50 - 0.0247865
  64. ema_slope_100 - -0.0552027
  65. rsi - 0.634693
  66. adx - 0.261897
  67. kc_percentage - 1.11596
  68. kc_width_percentage - 0.0211327
  69. volume_ema_diff - -0.843182
  70. volume_ema1 - 4023.3095235768
  71. volume_ema2 - 25656.053531763
  72. chop - 39.1581
  73. regime - range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 99771.3
  77. 5m_price_ema100_diff: 0.00579897
  78. 5m_price: 100349
  79. 5m_correlation_with_coin: 0.283275
  80. btc_indicators
  81. 15m_ema100: 101025
  82. 15m_price_ema100_diff: -0.00658438
  83. 15m_price: 100359
  84. 15m_correlation_with_coin: 0.021844
  85. btc_indicators
  86. 1H_ema100: 103041
  87. 1H_price_ema100_diff: -0.0261257
  88. 1H_price: 100349
  89. 1H_correlation_with_coin: -0.099159
    90. ¸

📌 Time Data

Start at Closed at Duration
13 Nov 2025
18:20:37		 13 Nov 2025
19:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03457 0.03489 0.03393 2 0.02662
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 0.03457
  • Stop Loss: 0.03489
  • Take Profit: 0.03393

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03489 - 0.03457 = 0.00032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03457 - 0.03393 = 0.00063999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00063999999999999 / 0.00032 = 2

📌 Position Size

Amount Margin Quantity Leverage
867.737 100 25100.869 8.68
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 0.00032

Taille de position = 8 / 0.00032 = 25000

Taille de position USD = 25000 x 0.03457 = 864.25

Donc, tu peux acheter 25000 avec un stoploss a 0.03489

Avec un position size USD de 864.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 25000 x 0.00032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 25000 x 0.00063999999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 25000
  • Taille de position USD 864.25
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.85 % 16.06 $
SL % Target SL $ Target
0.93 % 8.03 $
PNL PNL %
-8.03 $ -0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.186 % 128.12 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03393
            [entry_price] => 0.03457
            [stop_loss] => 0.034922
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-13 19:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03393
            [entry_price] => 0.03457
            [stop_loss] => 0.034954
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-13 19:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03393
            [entry_price] => 0.03457
            [stop_loss] => 0.034986
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-13 20:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03393
            [entry_price] => 0.03457
            [stop_loss] => 0.03505
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-13 20:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00024999999999999
            [max_drawdown] => 0.00041
            [rr_ratio] => 0.61
            [high] => 0.03498000
            [low] => 0.03432000
            [mfe_pct] => 0.72
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 24
            [start_at] => 2025-11-13T18:20:37-05:00
            [end_at] => 2025-11-13T20:20:37-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00142
            [max_drawdown] => 0.00106
            [rr_ratio] => 1.34
            [high] => 0.03563000
            [low] => 0.03315000
            [mfe_pct] => 4.11
            [mae_pct] => 3.07
            [mfe_mae_ratio] => 1.34
            [candles_analyzed] => 84
            [start_at] => 2025-11-13T18:20:37-05:00
            [end_at] => 2025-11-14T01:20:37-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03465000
            [high_after] => 0.03563000
            [low_before] => 0.03270000
            [low_after] => 0.03315000
            [is_new_high] => 
            [is_new_low] => 
        )

)