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Long Trade on VIRTUAL

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Long Trade on VIRTUAL 29 Sep 2025 at 18:42:43

Take profit at 1.0442 (0.77 %) and Stop Loss at 1.0322 (0.39 %)

Long Trade on VIRTUAL

The 29 Sep 2025 at 18:42:43

With 2008.1989 VIRTUAL at 1.0362$ per unit.

Position size of 2080.8957 $

Take profit at 1.0442 (0.77 %) and Stop Loss at 1.0322 (0.39 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.24
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.58279

15m : 0.187524

1H : 0.015357

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.002655779473
Details
  1. score: 2.12
  2. 1H
  3. ema9 : 1.03649
  4. ema21 : 1.03479
  5. ema50 : 1.03159
  6. ema100 : 1.02787
  7. price_ema9_diff : -0.000284533
  8. ema9_ema21_diff : 0.00163923
  9. ema21_ema50_diff : 0.00310479
  10. price_ema100_diff : 0.00809712
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.010937
  14. ema_slope_21 : -0.00601642
  15. ema_slope_50 : 0.00987399
  16. ema_slope_100 : 0.0118738
  17. rsi : 0.509026
  18. adx : 0.181407
  19. kc_percentage : 0.52158
  20. kc_width_percentage : 0.0573205
  21. volume_ema_diff : -0.0123787
  22. volume_ema1 : 481080.37573302
  23. volume_ema2 : 487110.18212788
  24. chop : 49.9407
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 1.04222
  28. ema21 : 1.03875
  29. ema50 : 1.03593
  30. ema100 : 1.03611
  31. price_ema9_diff : -0.00578145
  32. ema9_ema21_diff : 0.00334007
  33. ema21_ema50_diff : 0.00271994
  34. price_ema100_diff : 8.14726E-5
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.143319
  38. ema_slope_21 : 0.101091
  39. ema_slope_50 : 0.0445345
  40. ema_slope_100 : 0.0193142
  41. rsi : 0.509359
  42. adx : 0.192379
  43. kc_percentage : 0.376789
  44. kc_width_percentage : 0.0219749
  45. volume_ema_diff : -0.340352
  46. volume_ema1 : 90220.98911054
  47. volume_ema2 : 136771.57148035
  48. chop : 37.9413
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 1.03974
  52. ema21 : 1.04229
  53. ema50 : 1.04012
  54. ema100 : 1.03844
  55. price_ema9_diff : -0.00341029
  56. ema9_ema21_diff : -0.00244253
  57. ema21_ema50_diff : 0.00208505
  58. price_ema100_diff : -0.00216387
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.0786994
  62. ema_slope_21 : -0.0324711
  63. ema_slope_50 : 0.00466215
  64. ema_slope_100 : 0.00625891
  65. rsi : 0.344049
  66. adx : 0.327654
  67. kc_percentage : -0.116605
  68. kc_width_percentage : 0.00946806
  69. volume_ema_diff : -0.526101
  70. volume_ema1 : 18620.849822388
  71. volume_ema2 : 39292.927931448
  72. chop : 38.7018
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113981
  77. 5m_price_ema100_diff: 
    -0.000247403
  78. 5m_price: 
    113953
  79. 5m_correlation_with_coin: 
    0.58279
  80. btc_indicators
  81. 15m_ema100: 
    112822
  82. 15m_price_ema100_diff: 
    0.0106022
  83. 15m_price: 
    114018
  84. 15m_correlation_with_coin: 
    0.187524
  85. btc_indicators
  86. 1H_ema100: 
    110804
  87. 1H_price_ema100_diff: 
    0.0284248
  88. 1H_price: 
    113953
  89. 1H_correlation_with_coin: 
    0.015357
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
18:42:43		 29 Sep 2025
19:10:00		 27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0362 1.0322 1.0442 2 0.6964
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 1.0362
  • Stop Loss: 1.0322
  • Take Profit: 1.0442

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0322 - 1.0362 = -0.004

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0362 - 1.0442 = -0.008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.008 / -0.004 = 2

📌 Position Size

Amount Margin Quantity Leverage
2080.8957 100 2008.1989 20.81
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 -0.004

Taille de position = 8 / -0.004 = -2000

Taille de position USD = -2000 x 1.0362 = -2072.4

Donc, tu peux acheter -2000 avec un stoploss a 1.0322

Avec un position size USD de -2072.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2000 x -0.004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2000 x -0.008 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -2000
  • Taille de position USD -2072.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.77 % 16.07 $
SL % Target SL $ Target
0.39 % 8.03 $
PNL PNL %
-8.03 $ -0.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4729 % 122.51 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0442
            [entry_price] => 1.0362
            [stop_loss] => 1.0318
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 19:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0442
            [entry_price] => 1.0362
            [stop_loss] => 1.0314
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 19:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0442
            [entry_price] => 1.0362
            [stop_loss] => 1.031
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 19:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0442
            [entry_price] => 1.0362
            [stop_loss] => 1.0302
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 19:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0038
            [max_drawdown] => 0.0199
            [rr_ratio] => 0.19
            [high] => 1.04000000
            [low] => 1.01630000
            [mfe_pct] => 0.37
            [mae_pct] => 1.92
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T18:42:43-04:00
            [end_at] => 2025-09-29T20:42:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0038
            [max_drawdown] => 0.0273
            [rr_ratio] => 0.14
            [high] => 1.04000000
            [low] => 1.00890000
            [mfe_pct] => 0.37
            [mae_pct] => 2.63
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T18:42:43-04:00
            [end_at] => 2025-09-30T01:42:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.05550000
            [high_after] => 1.04000000
            [low_before] => 1.01860000
            [low_after] => 1.00890000
            [is_new_high] => 
            [is_new_low] => 
        )

)