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Short Trade on CVX

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Short Trade on CVX 22 Sep 2025 at 17:20:37

Take profit at 3.3785 (0.95 %) and Stop Loss at 3.4273 (0.48 %)

Short Trade on CVX

The 22 Sep 2025 at 17:20:37

With 491.8345 CVX at 3.411$ per unit.

Position size of 1677.6474 $

Take profit at 3.3785 (0.95 %) and Stop Loss at 3.4273 (0.48 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.43
Prediction Score: 5
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
2 0.39
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.615303

15m : -0.016185

1H : 0.216252

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.33
  4. atr: 0.01084375657
Details
  1. score: 1.33
  2. 1H
  3. ema9 : 3.3867
  4. ema21 : 3.45107
  5. ema50 : 3.59399
  6. ema100 : 3.71318
  7. price_ema9_diff : 0.00717249
  8. ema9_ema21_diff : -0.01865
  9. ema21_ema50_diff : -0.0397674
  10. price_ema100_diff : -0.0813811
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.195368
  14. ema_slope_21 : -0.338766
  15. ema_slope_50 : -0.288883
  16. ema_slope_100 : -0.194922
  17. rsi : 0.395496
  18. adx : 0.538352
  19. kc_percentage : 0.336795
  20. kc_width_percentage : 0.0607878
  21. volume_ema_diff : -0.642011
  22. volume_ema1 : 82462.338240598
  23. volume_ema2 : 230348.93664054
  24. chop : 66.8161
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 3.37502
  28. ema21 : 3.36977
  29. ema50 : 3.39674
  30. ema100 : 3.46971
  31. price_ema9_diff : 0.01066
  32. ema9_ema21_diff : 0.00155595
  33. ema21_ema50_diff : -0.00794026
  34. price_ema100_diff : -0.0169214
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0212014
  38. ema_slope_21 : -0.0201303
  39. ema_slope_50 : -0.0523656
  40. ema_slope_100 : -0.0705496
  41. rsi : 0.636808
  42. adx : 0.257366
  43. kc_percentage : 1.00338
  44. kc_width_percentage : 0.0241462
  45. volume_ema_diff : -0.605423
  46. volume_ema1 : 17214.603017343
  47. volume_ema2 : 43628.048207306
  48. chop : 45.6029
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 3.39336
  52. ema21 : 3.37571
  53. ema50 : 3.36795
  54. ema100 : 3.37542
  55. price_ema9_diff : 0.00519725
  56. ema9_ema21_diff : 0.00522729
  57. ema21_ema50_diff : 0.00230596
  58. price_ema100_diff : 0.0105383
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.14009
  62. ema_slope_21 : 0.0828806
  63. ema_slope_50 : 0.0306794
  64. ema_slope_100 : 0.00759637
  65. rsi : 0.732298
  66. adx : 0.341661
  67. kc_percentage : 1.32509
  68. kc_width_percentage : 0.0122122
  69. volume_ema_diff : -0.531525
  70. volume_ema1 : 3765.8970145234
  71. volume_ema2 : 8038.6401674911
  72. chop : 27.4044
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112549
  77. 5m_price_ema100_diff: 
    0.00164399
  78. 5m_price: 
    112734
  79. 5m_correlation_with_coin: 
    0.615303
  80. btc_indicators
  81. 15m_ema100: 
    113284
  82. 15m_price_ema100_diff: 
    -0.00485915
  83. 15m_price: 
    112734
  84. 15m_correlation_with_coin: 
    -0.016185
  85. btc_indicators
  86. 1H_ema100: 
    115033
  87. 1H_price_ema100_diff: 
    -0.01999
  88. 1H_price: 
    112734
  89. 1H_correlation_with_coin: 
    0.216252
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:20:37		 22 Sep 2025
17:25:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.411 3.4273 3.3785 1.99 1.748
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 3.411
  • Stop Loss: 3.4273
  • Take Profit: 3.3785

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.4273 - 3.411 = 0.0163

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.411 - 3.3785 = 0.0325

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0325 / 0.0163 = 1.9939

📌 Position Size

Amount Margin Quantity Leverage
1677.6474 100 491.8345 16.78
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 0.0163

Taille de position = 8 / 0.0163 = 490.8

Taille de position USD = 490.8 x 3.411 = 1674.12

Donc, tu peux acheter 490.8 avec un stoploss a 3.4273

Avec un position size USD de 1674.12$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 490.8 x 0.0163 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 490.8 x 0.0325 = 15.95

Si Take Profit atteint, tu gagneras 15.95$

Résumé

  • Taille de position 490.8
  • Taille de position USD 1674.12
  • Perte potentielle 8
  • Gain potentiel 15.95
  • Risk-Reward Ratio 1.9939

📌 Peformances

TP % Target TP $ Target
0.95 % 15.98 $
SL % Target SL $ Target
0.48 % 8.02 $
PNL PNL %
-8.02 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4984 % 104.29 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.3785
            [entry_price] => 3.411
            [stop_loss] => 3.42893
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.3785
            [entry_price] => 3.411
            [stop_loss] => 3.43056
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.3785
            [entry_price] => 3.411
            [stop_loss] => 3.43219
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.3785
            [entry_price] => 3.411
            [stop_loss] => 3.43545
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.03
            [rr_ratio] => 0
            [high] => 3.44100000
            [low] => 3.41100000
            [mfe_pct] => 0
            [mae_pct] => 0.88
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:20:37-04:00
            [end_at] => 2025-09-22T19:20:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.11
            [max_drawdown] => 0.046
            [rr_ratio] => 2.39
            [high] => 3.45700000
            [low] => 3.30100000
            [mfe_pct] => 3.22
            [mae_pct] => 1.35
            [mfe_mae_ratio] => 2.39
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:20:37-04:00
            [end_at] => 2025-09-23T00:20:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.41500000
            [high_after] => 3.45700000
            [low_before] => 3.31400000
            [low_after] => 3.30100000
            [is_new_high] => 
            [is_new_low] => 1
        )

)