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Long Trade on PYTH

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Long Trade on PYTH 06 Sep 2025 at 05:07:43

Take profit at 0.1606 (1.58 %) and Stop Loss at 0.1568 (0.82 %)

Long Trade on PYTH

The 06 Sep 2025 at 05:07:43

With 6284.4973 PYTH at 0.1581$ per unit.

Position size of 993.579 $

Take profit at 0.1606 (1.58 %) and Stop Loss at 0.1568 (0.82 %)

That's a 1.92 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.25
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.66
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.223553

15m : -0.173373

1H : -0.004498

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0008486491511
Details
  1. score: 2.04
  2. 1H
  3. ema9 : 0.158774
  4. ema21 : 0.156018
  5. ema50 : 0.154421
  6. ema100 : 0.155803
  7. price_ema9_diff : -0.00424575
  8. ema9_ema21_diff : 0.0176633
  9. ema21_ema50_diff : 0.0103381
  10. price_ema100_diff : 0.0147408
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.53654
  14. ema_slope_21 : 0.352821
  15. ema_slope_50 : 0.141624
  16. ema_slope_100 : 0.0386103
  17. rsi : 0.558922
  18. adx : 0.353903
  19. kc_percentage : 0.637188
  20. kc_width_percentage : 0.0882484
  21. volume_ema_diff : 0.0811033
  22. volume_ema1 : 1595628.9254505
  23. volume_ema2 : 1475926.3128743
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.16001
  27. ema21 : 0.160039
  28. ema50 : 0.157715
  29. ema100 : 0.155235
  30. price_ema9_diff : -0.0119377
  31. ema9_ema21_diff : -0.000184397
  32. ema21_ema50_diff : 0.0147375
  33. price_ema100_diff : 0.0184543
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0280462
  37. ema_slope_21 : 0.0515249
  38. ema_slope_50 : 0.0987554
  39. ema_slope_100 : 0.0815872
  40. rsi : 0.444036
  41. adx : 0.300015
  42. kc_percentage : 0.209978
  43. kc_width_percentage : 0.0434841
  44. volume_ema_diff : -0.327381
  45. volume_ema1 : 368895.583598
  46. volume_ema2 : 548446.90966895
  47. regime : bull_high
    48. ¸
  48. 5m
  49. ema9 : 0.158999
  50. ema21 : 0.159948
  51. ema50 : 0.160384
  52. ema100 : 0.159834
  53. price_ema9_diff : -0.00566011
  54. ema9_ema21_diff : -0.00593122
  55. ema21_ema50_diff : -0.002719
  56. price_ema100_diff : -0.0108543
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : -0.16925
  60. ema_slope_21 : -0.105997
  61. ema_slope_50 : -0.0406152
  62. ema_slope_100 : -0.00955658
  63. rsi : 0.347008
  64. adx : 0.258395
  65. kc_percentage : -0.0438022
  66. kc_width_percentage : 0.0209083
  67. volume_ema_diff : -0.358937
  68. volume_ema1 : 116401.42591199
  69. volume_ema2 : 181575.79641974
  70. regime : bear_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110790
  74. 5m_price_ema100_diff: 
    0.000144062
  75. 5m_price: 
    110806
  76. 5m_correlation_with_coin: 
    0.223553
  77. btc_indicators
  78. 15m_ema100: 
    111226
  79. 15m_price_ema100_diff: 
    -0.00377537
  80. 15m_price: 
    110806
  81. 15m_correlation_with_coin: 
    -0.173373
  82. btc_indicators
  83. 1H_ema100: 
    110975
  84. 1H_price_ema100_diff: 
    -0.00152724
  85. 1H_price: 
    110806
  86. 1H_correlation_with_coin: 
    -0.004498
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Sep 2025
05:07:43		 06 Sep 2025
05:45:00		 37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1581 0.1568 0.1606 1.92 0.0469
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 0.1581
  • Stop Loss: 0.1568
  • Take Profit: 0.1606

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1568 - 0.1581 = -0.0013

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1581 - 0.1606 = -0.0025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0025 / -0.0013 = 1.9231

📌 Position Size

Amount Margin Quantity Leverage
993.579 100 6284.4973 9.94
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 -0.0013

Taille de position = 8 / -0.0013 = -6153.85

Taille de position USD = -6153.85 x 0.1581 = -972.92

Donc, tu peux acheter -6153.85 avec un stoploss a 0.1568

Avec un position size USD de -972.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6153.85 x -0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6153.85 x -0.0025 = 15.38

Si Take Profit atteint, tu gagneras 15.38$

Résumé

  • Taille de position -6153.85
  • Taille de position USD -972.92
  • Perte potentielle 8
  • Gain potentiel 15.38
  • Risk-Reward Ratio 1.9231

📌 Peformances

TP % Target TP $ Target
1.58 % 15.71 $
SL % Target SL $ Target
0.82 % 8.17 $
PNL PNL %
-8.17 $ -0.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.012 % 123.07 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1606
            [entry_price] => 0.1581
            [stop_loss] => 0.15667
            [rr_ratio] => 1.75
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-06 05:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1606
            [entry_price] => 0.1581
            [stop_loss] => 0.15654
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-06 05:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1606
            [entry_price] => 0.1581
            [stop_loss] => 0.15641
            [rr_ratio] => 1.48
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-06 06:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1606
            [entry_price] => 0.1581
            [stop_loss] => 0.15615
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-06 06:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00030000000000002
            [max_drawdown] => 0.002
            [rr_ratio] => 0.15
            [high] => 0.15840000
            [low] => 0.15610000
            [mfe_pct] => 0.19
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 24
            [start_at] => 2025-09-06T05:07:43-04:00
            [end_at] => 2025-09-06T07:07:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0071
            [max_drawdown] => 0.002
            [rr_ratio] => 3.55
            [high] => 0.16520000
            [low] => 0.15610000
            [mfe_pct] => 4.49
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 3.55
            [candles_analyzed] => 84
            [start_at] => 2025-09-06T05:07:43-04:00
            [end_at] => 2025-09-06T12:07:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16410000
            [high_after] => 0.16240000
            [low_before] => 0.15790000
            [low_after] => 0.15610000
            [is_new_high] => 
            [is_new_low] => 
        )

)