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Long Trade on CVX

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Long Trade on CVX 18 Sep 2025 at 23:59:20

Take profit at 4.1016 (2.28 %) and Stop Loss at 3.9642 (1.14 %)

Long Trade on CVX

The 18 Sep 2025 at 23:59:20

With 174.7217 CVX at 4.01$ per unit.

Position size of 700.6342 $

Take profit at 4.1016 (2.28 %) and Stop Loss at 3.9642 (1.14 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.48
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.78
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high_confirmed

15m_regime : bull_high

5m_regime : bear_high
BTC Correlation Score

5m : 0.298394

15m : -0.168873

1H : -0.09552

 1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.03052472684
Details
  1. score: 2.13
  2. 1H
  3. ema9 : 4.02756
  4. ema21 : 3.87449
  5. ema50 : 3.68796
  6. ema100 : 3.58838
  7. price_ema9_diff : -0.00436146
  8. ema9_ema21_diff : 0.0395072
  9. ema21_ema50_diff : 0.0505771
  10. price_ema100_diff : 0.117494
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 1.07629
  14. ema_slope_21 : 0.805215
  15. ema_slope_50 : 0.484047
  16. ema_slope_100 : 0.27394
  17. rsi : 0.662803
  18. adx : 0.460041
  19. kc_percentage : 0.81271
  20. kc_width_percentage : 0.0995731
  21. volume_ema_diff : 0.74216
  22. volume_ema1 : 481010.62566362
  23. volume_ema2 : 276100.09287588
  24. chop : 16.4978
  25. regime : bull_high_confirmed
    26. ¸
  26. 15m
  27. ema9 : 4.08965
  28. ema21 : 4.0843
  29. ema50 : 3.9824
  30. ema100 : 3.85145
  31. price_ema9_diff : -0.0194767
  32. ema9_ema21_diff : 0.00130834
  33. ema21_ema50_diff : 0.0255881
  34. price_ema100_diff : 0.0411637
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0323349
  38. ema_slope_21 : 0.0822645
  39. ema_slope_50 : 0.166401
  40. ema_slope_100 : 0.155146
  41. rsi : 0.445545
  42. adx : 0.473046
  43. kc_percentage : 0.155694
  44. kc_width_percentage : 0.0555065
  45. volume_ema_diff : 0.100581
  46. volume_ema1 : 119730.92973339
  47. volume_ema2 : 108788.8378512
  48. chop : 52.1414
  49. regime : bull_high
    50. ¸
  50. 5m
  51. ema9 : 4.05379
  52. ema21 : 4.08741
  53. ema50 : 4.09807
  54. ema100 : 4.07307
  55. price_ema9_diff : -0.010804
  56. ema9_ema21_diff : -0.00822567
  57. ema21_ema50_diff : -0.0026004
  58. price_ema100_diff : -0.0154855
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.164096
  62. ema_slope_21 : -0.0886176
  63. ema_slope_50 : -0.0272395
  64. ema_slope_100 : 0.00368922
  65. rsi : 0.299817
  66. adx : 0.243525
  67. kc_percentage : -0.131792
  68. kc_width_percentage : 0.0299351
  69. volume_ema_diff : 0.260086
  70. volume_ema1 : 49799.667456734
  71. volume_ema2 : 39520.834696117
  72. chop : 33.5702
  73. regime : bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    117132
  77. 5m_price_ema100_diff: 
    -0.00164975
  78. 5m_price: 
    116939
  79. 5m_correlation_with_coin: 
    0.298394
  80. btc_indicators
  81. 15m_ema100: 
    117266
  82. 15m_price_ema100_diff: 
    -0.0032311
  83. 15m_price: 
    116887
  84. 15m_correlation_with_coin: 
    -0.168873
  85. btc_indicators
  86. 1H_ema100: 
    116345
  87. 1H_price_ema100_diff: 
    0.00510524
  88. 1H_price: 
    116939
  89. 1H_correlation_with_coin: 
    -0.09552
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
18 Sep 2025
23:59:20		 19 Sep 2025
00:05:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.01 3.9642 4.1016 2 1.687
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 4.01
  • Stop Loss: 3.9642
  • Take Profit: 4.1016

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.9642 - 4.01 = -0.0458

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.01 - 4.1016 = -0.091600000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.091600000000001 / -0.0458 = 2

📌 Position Size

Amount Margin Quantity Leverage
700.6342 100 174.7217 7.01
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 -0.0458

Taille de position = 8 / -0.0458 = -174.67

Taille de position USD = -174.67 x 4.01 = -700.43

Donc, tu peux acheter -174.67 avec un stoploss a 3.9642

Avec un position size USD de -700.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -174.67 x -0.0458 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -174.67 x -0.091600000000001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -174.67
  • Taille de position USD -700.43
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.28 % 16 $
SL % Target SL $ Target
1.14 % 8 $
PNL PNL %
-8 $ -1.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3466 % 117.91 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.1016
            [entry_price] => 4.01
            [stop_loss] => 3.95962
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-19 00:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.1016
            [entry_price] => 4.01
            [stop_loss] => 3.95504
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-19 00:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.1016
            [entry_price] => 4.01
            [stop_loss] => 3.95046
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-19 02:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.1016
            [entry_price] => 4.01
            [stop_loss] => 3.9413
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-19 02:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.083
            [max_drawdown] => 0.055
            [rr_ratio] => 1.51
            [high] => 4.09300000
            [low] => 3.95500000
            [mfe_pct] => 2.07
            [mae_pct] => 1.37
            [mfe_mae_ratio] => 1.51
            [candles_analyzed] => 24
            [start_at] => 2025-09-18T23:59:20-04:00
            [end_at] => 2025-09-19T01:59:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.083
            [max_drawdown] => 0.18
            [rr_ratio] => 0.46
            [high] => 4.09300000
            [low] => 3.83000000
            [mfe_pct] => 2.07
            [mae_pct] => 4.49
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 84
            [start_at] => 2025-09-18T23:59:20-04:00
            [end_at] => 2025-09-19T06:59:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.21700000
            [high_after] => 4.09300000
            [low_before] => 3.99400000
            [low_after] => 3.83000000
            [is_new_high] => 
            [is_new_low] => 
        )

)