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Long Trade on PYTH

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Long Trade on PYTH 20 Sep 2025 at 05:26:29

Take profit at 0.1729 (1.23 %) and Stop Loss at 0.1698 (0.59 %)

Long Trade on PYTH

The 20 Sep 2025 at 05:26:29

With 7736.93 PYTH at 0.1708$ per unit.

Position size of 1321.4676 $

Take profit at 0.1729 (1.23 %) and Stop Loss at 0.1698 (0.59 %)

That's a 2.1 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.71
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.59
Prediction 2 Probability
0 0.37
Prediction 3 Probability
1 0.69
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_medium

5m_regime : range_medium
BTC Correlation Score

5m : 0.47444

15m : -0.07092

1H : -0.227388

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.000689334575
Details
  1. score: 2
  2. 1H
  3. ema9 : 0.170185
  4. ema21 : 0.169341
  5. ema50 : 0.168924
  6. ema100 : 0.167552
  7. price_ema9_diff : 0.00361061
  8. ema9_ema21_diff : 0.00498225
  9. ema21_ema50_diff : 0.00247066
  10. price_ema100_diff : 0.0193811
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.118143
  14. ema_slope_21 : 0.0169382
  15. ema_slope_50 : 0.00477133
  16. ema_slope_100 : 0.018592
  17. rsi : 0.544168
  18. adx : 0.209282
  19. kc_percentage : 0.642481
  20. kc_width_percentage : 0.059221
  21. volume_ema_diff : 0.131256
  22. volume_ema1 : 539309.54341494
  23. volume_ema2 : 476735.13124634
  24. chop : 39.1813
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.172045
  28. ema21 : 0.1709
  29. ema50 : 0.169352
  30. ema100 : 0.168913
  31. price_ema9_diff : -0.00723963
  32. ema9_ema21_diff : 0.00669947
  33. ema21_ema50_diff : 0.00914302
  34. price_ema100_diff : 0.0111673
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.187123
  38. ema_slope_21 : 0.164667
  39. ema_slope_50 : 0.0950935
  40. ema_slope_100 : 0.0475359
  41. rsi : 0.542848
  42. adx : 0.343541
  43. kc_percentage : 0.464553
  44. kc_width_percentage : 0.0322718
  45. volume_ema_diff : 0.000135655
  46. volume_ema1 : 130831.41390837
  47. volume_ema2 : 130813.66824984
  48. chop : 32.3818
  49. regime : bull_medium
    50. ¸
  50. 5m
  51. ema9 : 0.171631
  52. ema21 : 0.172131
  53. ema50 : 0.171298
  54. ema100 : 0.169827
  55. price_ema9_diff : -0.00484237
  56. ema9_ema21_diff : -0.00290761
  57. ema21_ema50_diff : 0.00486313
  58. price_ema100_diff : 0.00572357
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.109205
  62. ema_slope_21 : -0.0305114
  63. ema_slope_50 : 0.0220609
  64. ema_slope_100 : 0.03045
  65. rsi : 0.379448
  66. adx : 0.344892
  67. kc_percentage : -0.00434974
  68. kc_width_percentage : 0.0154449
  69. volume_ema_diff : -0.584628
  70. volume_ema1 : 22948.145149945
  71. volume_ema2 : 55247.325171129
  72. chop : 32.6016
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    115640
  77. 5m_price_ema100_diff: 
    0.000550424
  78. 5m_price: 
    115703
  79. 5m_correlation_with_coin: 
    0.47444
  80. btc_indicators
  81. 15m_ema100: 
    115827
  82. 15m_price_ema100_diff: 
    -0.0007553
  83. 15m_price: 
    115740
  84. 15m_correlation_with_coin: 
    -0.07092
  85. btc_indicators
  86. 1H_ema100: 
    116206
  87. 1H_price_ema100_diff: 
    -0.00432551
  88. 1H_price: 
    115703
  89. 1H_correlation_with_coin: 
    -0.227388
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Sep 2025
05:26:29		 20 Sep 2025
05:30:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1708 0.1698 0.1729 2.1 0.0494
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 0.1708
  • Stop Loss: 0.1698
  • Take Profit: 0.1729

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1698 - 0.1708 = -0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1708 - 0.1729 = -0.0021

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0021 / -0.001 = 2.1

📌 Position Size

Amount Margin Quantity Leverage
1321.4676 100 7736.93 13.21
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 -0.001

Taille de position = 8 / -0.001 = -8000

Taille de position USD = -8000 x 0.1708 = -1366.4

Donc, tu peux acheter -8000 avec un stoploss a 0.1698

Avec un position size USD de -1366.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8000 x -0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8000 x -0.0021 = 16.8

Si Take Profit atteint, tu gagneras 16.8$

Résumé

  • Taille de position -8000
  • Taille de position USD -1366.4
  • Perte potentielle 8
  • Gain potentiel 16.8
  • Risk-Reward Ratio 2.1

📌 Peformances

TP % Target TP $ Target
1.23 % 16.25 $
SL % Target SL $ Target
0.59 % 7.74 $
PNL PNL %
-7.74 $ -0.59
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5855 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1729
            [entry_price] => 0.1708
            [stop_loss] => 0.1697
            [rr_ratio] => 1.91
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 05:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1729
            [entry_price] => 0.1708
            [stop_loss] => 0.1696
            [rr_ratio] => 1.75
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 05:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1729
            [entry_price] => 0.1708
            [stop_loss] => 0.1695
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 05:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1729
            [entry_price] => 0.1708
            [stop_loss] => 0.1693
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 05:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0022
            [max_drawdown] => 0.0018
            [rr_ratio] => 1.22
            [high] => 0.17300000
            [low] => 0.16900000
            [mfe_pct] => 1.29
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 1.22
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T05:26:29-04:00
            [end_at] => 2025-09-20T07:26:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0022
            [max_drawdown] => 0.0018
            [rr_ratio] => 1.22
            [high] => 0.17300000
            [low] => 0.16900000
            [mfe_pct] => 1.29
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 1.22
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T05:26:29-04:00
            [end_at] => 2025-09-20T12:26:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17550000
            [high_after] => 0.17300000
            [low_before] => 0.16790000
            [low_after] => 0.16900000
            [is_new_high] => 
            [is_new_low] => 
        )

)