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Long Trade on PYTH

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Long Trade on PYTH 10 Sep 2025 at 12:02:49

Take profit at 0.1793 (1.76 %) and Stop Loss at 0.1746 (0.91 %)

Long Trade on PYTH

The 10 Sep 2025 at 12:02:49

With 5141.9536 PYTH at 0.1762$ per unit.

Position size of 906.0122 $

Take profit at 0.1793 (1.76 %) and Stop Loss at 0.1746 (0.91 %)

That's a 1.94 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.15
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.65
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.192131

15m : -0.026466

1H : 0.011598

 3

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.001037219266
Details
  1. score: 2.15
  2. 1H
  3. ema9 : 0.178611
  4. ema21 : 0.175212
  5. ema50 : 0.170019
  6. ema100 : 0.166676
  7. price_ema9_diff : -0.0134996
  8. ema9_ema21_diff : 0.0193956
  9. ema21_ema50_diff : 0.0305474
  10. price_ema100_diff : 0.0571347
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.493806
  14. ema_slope_21 : 0.493849
  15. ema_slope_50 : 0.311488
  16. ema_slope_100 : 0.184911
  17. rsi : 0.539547
  18. adx : 0.439406
  19. kc_percentage : 0.537558
  20. kc_width_percentage : 0.105771
  21. volume_ema_diff : -0.109714
  22. volume_ema1 : 1480964.7276477
  23. volume_ema2 : 1663471.1697684
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.178608
  27. ema21 : 0.179516
  28. ema50 : 0.177749
  29. ema100 : 0.173296
  30. price_ema9_diff : -0.0134832
  31. ema9_ema21_diff : -0.00506103
  32. ema21_ema50_diff : 0.0099428
  33. price_ema100_diff : 0.0167533
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.120147
  37. ema_slope_21 : -0.0240633
  38. ema_slope_50 : 0.0570513
  39. ema_slope_100 : 0.0867046
  40. rsi : 0.398246
  41. adx : 0.227325
  42. kc_percentage : 0.111967
  43. kc_width_percentage : 0.0483568
  44. volume_ema_diff : -0.47189
  45. volume_ema1 : 291970.03012602
  46. volume_ema2 : 552859.37030584
  47. regime : range_high
    48. ¸
  48. 5m
  49. ema9 : 0.177567
  50. ema21 : 0.178749
  51. ema50 : 0.17976
  52. ema100 : 0.179597
  53. price_ema9_diff : -0.00769865
  54. ema9_ema21_diff : -0.00661311
  55. ema21_ema50_diff : -0.00562478
  56. price_ema100_diff : -0.0189186
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : -0.142021
  60. ema_slope_21 : -0.109111
  61. ema_slope_50 : -0.0557235
  62. ema_slope_100 : -0.0218664
  63. rsi : 0.291204
  64. adx : 0.243249
  65. kc_percentage : -0.145487
  66. kc_width_percentage : 0.0217361
  67. volume_ema_diff : -0.44615
  68. volume_ema1 : 92827.84965429
  69. volume_ema2 : 167604.83299644
  70. regime : bear_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    113166
  74. 5m_price_ema100_diff: 
    0.00578154
  75. 5m_price: 
    113820
  76. 5m_correlation_with_coin: 
    0.192131
  77. btc_indicators
  78. 15m_ema100: 
    112227
  79. 15m_price_ema100_diff: 
    0.0141891
  80. 15m_price: 
    113820
  81. 15m_correlation_with_coin: 
    -0.026466
  82. btc_indicators
  83. 1H_ema100: 
    111731
  84. 1H_price_ema100_diff: 
    0.0186996
  85. 1H_price: 
    113820
  86. 1H_correlation_with_coin: 
    0.011598
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
12:02:49		 10 Sep 2025
12:10:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1762 0.1746 0.1793 1.94 0.0518
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 0.1762
  • Stop Loss: 0.1746
  • Take Profit: 0.1793

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1746 - 0.1762 = -0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1762 - 0.1793 = -0.0031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0031 / -0.0016 = 1.9375

📌 Position Size

Amount Margin Quantity Leverage
906.0122 100 5141.9536 9.06
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 -0.0016

Taille de position = 8 / -0.0016 = -5000

Taille de position USD = -5000 x 0.1762 = -881

Donc, tu peux acheter -5000 avec un stoploss a 0.1746

Avec un position size USD de -881$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5000 x -0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5000 x -0.0031 = 15.5

Si Take Profit atteint, tu gagneras 15.5$

Résumé

  • Taille de position -5000
  • Taille de position USD -881
  • Perte potentielle 8
  • Gain potentiel 15.5
  • Risk-Reward Ratio 1.9375

📌 Peformances

TP % Target TP $ Target
1.76 % 15.94 $
SL % Target SL $ Target
0.91 % 8.23 $
PNL PNL %
-8.23 $ -0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0783 % 118.74 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1793
            [entry_price] => 0.1762
            [stop_loss] => 0.17444
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 12:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1793
            [entry_price] => 0.1762
            [stop_loss] => 0.17428
            [rr_ratio] => 1.61
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 12:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1793
            [entry_price] => 0.1762
            [stop_loss] => 0.17412
            [rr_ratio] => 1.49
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 12:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1793
            [entry_price] => 0.1762
            [stop_loss] => 0.1738
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 12:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.004
            [rr_ratio] => 0.13
            [high] => 0.17670000
            [low] => 0.17220000
            [mfe_pct] => 0.28
            [mae_pct] => 2.27
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T12:02:49-04:00
            [end_at] => 2025-09-10T14:02:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0075
            [rr_ratio] => 0.07
            [high] => 0.17670000
            [low] => 0.16870000
            [mfe_pct] => 0.28
            [mae_pct] => 4.26
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T12:02:49-04:00
            [end_at] => 2025-09-10T19:02:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.18750000
            [high_after] => 0.17670000
            [low_before] => 0.17560000
            [low_after] => 0.16870000
            [is_new_high] => 
            [is_new_low] => 
        )

)