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Short Trade on CVX

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Short Trade on CVX 22 Sep 2025 at 16:46:54

Take profit at 3.3408 (1.07 %) and Stop Loss at 3.3951 (0.54 %)

Short Trade on CVX

The 22 Sep 2025 at 16:46:54

With 442.3248 CVX at 3.377$ per unit.

Position size of 1493.731 $

Take profit at 3.3408 (1.07 %) and Stop Loss at 3.3951 (0.54 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.62
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.630065

15m : 0.106284

1H : 0.001441

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0120575036
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 3.37763
  4. ema21 : 3.45371
  5. ema50 : 3.60003
  6. ema100 : 3.71291
  7. price_ema9_diff : -0.000188308
  8. ema9_ema21_diff : -0.0220271
  9. ema21_ema50_diff : -0.0406459
  10. price_ema100_diff : -0.0904723
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.290232
  14. ema_slope_21 : -0.389009
  15. ema_slope_50 : -0.305971
  16. ema_slope_100 : -0.198872
  17. rsi : 0.340313
  18. adx : 0.551449
  19. kc_percentage : 0.174437
  20. kc_width_percentage : 0.0636435
  21. volume_ema_diff : -0.583533
  22. volume_ema1 : 108254.2959309
  23. volume_ema2 : 259935.10792696
  24. chop : 67.5133
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 3.35584
  28. ema21 : 3.36137
  29. ema50 : 3.39595
  30. ema100 : 3.47443
  31. price_ema9_diff : 0.00630334
  32. ema9_ema21_diff : -0.00164317
  33. ema21_ema50_diff : -0.0101855
  34. price_ema100_diff : -0.0280438
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0295197
  38. ema_slope_21 : -0.048041
  39. ema_slope_50 : -0.0665042
  40. ema_slope_100 : -0.0792276
  41. rsi : 0.541687
  42. adx : 0.267108
  43. kc_percentage : 0.697585
  44. kc_width_percentage : 0.0245491
  45. volume_ema_diff : -0.510124
  46. volume_ema1 : 22409.483414022
  47. volume_ema2 : 45745.259223849
  48. chop : 59.5324
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 3.35905
  52. ema21 : 3.3521
  53. ema50 : 3.3573
  54. ema100 : 3.36952
  55. price_ema9_diff : 0.00534245
  56. ema9_ema21_diff : 0.0020729
  57. ema21_ema50_diff : -0.00154714
  58. price_ema100_diff : 0.00221856
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0526184
  62. ema_slope_21 : 0.0118853
  63. ema_slope_50 : -0.00881095
  64. ema_slope_100 : -0.0127128
  65. rsi : 0.646276
  66. adx : 0.313598
  67. kc_percentage : 1.01608
  68. kc_width_percentage : 0.0142167
  69. volume_ema_diff : 0.205737
  70. volume_ema1 : 10892.98386148
  71. volume_ema2 : 9034.2928911693
  72. chop : 35.2543
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112499
  77. 5m_price_ema100_diff: 
    0.000186768
  78. 5m_price: 
    112520
  79. 5m_correlation_with_coin: 
    0.630065
  80. btc_indicators
  81. 15m_ema100: 
    113305
  82. 15m_price_ema100_diff: 
    -0.0069241
  83. 15m_price: 
    112520
  84. 15m_correlation_with_coin: 
    0.106284
  85. btc_indicators
  86. 1H_ema100: 
    115045
  87. 1H_price_ema100_diff: 
    -0.0219483
  88. 1H_price: 
    112520
  89. 1H_correlation_with_coin: 
    0.001441
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:46:54		 22 Sep 2025
17:05:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.377 3.3951 3.3408 2 1.707
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 3.377
  • Stop Loss: 3.3951
  • Take Profit: 3.3408

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.3951 - 3.377 = 0.0181

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.377 - 3.3408 = 0.0362

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0362 / 0.0181 = 2

📌 Position Size

Amount Margin Quantity Leverage
1493.731 100 442.3248 14.94
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 0.0181

Taille de position = 8 / 0.0181 = 441.99

Taille de position USD = 441.99 x 3.377 = 1492.6

Donc, tu peux acheter 441.99 avec un stoploss a 3.3951

Avec un position size USD de 1492.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 441.99 x 0.0181 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 441.99 x 0.0362 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 441.99
  • Taille de position USD 1492.6
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.07 % 16.01 $
SL % Target SL $ Target
0.54 % 8.01 $
PNL PNL %
-8.01 $ -0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7699 % 143.64 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.3408
            [entry_price] => 3.377
            [stop_loss] => 3.39691
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.3408
            [entry_price] => 3.377
            [stop_loss] => 3.39872
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.3408
            [entry_price] => 3.377
            [stop_loss] => 3.40053
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.3408
            [entry_price] => 3.377
            [stop_loss] => 3.40415
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0039999999999996
            [max_drawdown] => 0.064
            [rr_ratio] => 0.06
            [high] => 3.44100000
            [low] => 3.37300000
            [mfe_pct] => 0.12
            [mae_pct] => 1.9
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:46:54-04:00
            [end_at] => 2025-09-22T18:46:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.076
            [max_drawdown] => 0.08
            [rr_ratio] => 0.95
            [high] => 3.45700000
            [low] => 3.30100000
            [mfe_pct] => 2.25
            [mae_pct] => 2.37
            [mfe_mae_ratio] => 0.95
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:46:54-04:00
            [end_at] => 2025-09-22T23:46:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.38200000
            [high_after] => 3.45700000
            [low_before] => 3.31400000
            [low_after] => 3.35100000
            [is_new_high] => 
            [is_new_low] => 
        )

)