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Long Trade on PYTH

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Long Trade on PYTH 06 Sep 2025 at 04:24:52

Take profit at 0.1626 (1.75 %) and Stop Loss at 0.1584 (0.88 %)

Long Trade on PYTH

The 06 Sep 2025 at 04:24:52

With 5786.9458 PYTH at 0.1598$ per unit.

Position size of 924.7539 $

Take profit at 0.1626 (1.75 %) and Stop Loss at 0.1584 (0.88 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.36
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.87
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 : range_medium
BTC Correlation Score

5m : 0.249788

15m : -0.050715

1H : 0.122892

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.000921614532
Details
  1. score: 2.01
  2. 1H
  3. ema9 : 0.159082
  4. ema21 : 0.155873
  5. ema50 : 0.154346
  6. ema100 : 0.156115
  7. price_ema9_diff : 0.00450932
  8. ema9_ema21_diff : 0.0205849
  9. ema21_ema50_diff : 0.00989421
  10. price_ema100_diff : 0.0235981
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.554225
  14. ema_slope_21 : 0.341961
  15. ema_slope_50 : 0.127209
  16. ema_slope_100 : 0.0253518
  17. rsi : 0.596519
  18. adx : 0.354061
  19. kc_percentage : 0.760087
  20. kc_width_percentage : 0.0901965
  21. volume_ema_diff : 0.298161
  22. volume_ema1 : 1934622.2681425
  23. volume_ema2 : 1490278.2642264
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.161603
  27. ema21 : 0.160625
  28. ema50 : 0.157656
  29. ema100 : 0.155096
  30. price_ema9_diff : -0.0111587
  31. ema9_ema21_diff : 0.00608815
  32. ema21_ema50_diff : 0.0188325
  33. price_ema100_diff : 0.0303279
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.082261
  37. ema_slope_21 : 0.119538
  38. ema_slope_50 : 0.131999
  39. ema_slope_100 : 0.0962952
  40. rsi : 0.533882
  41. adx : 0.383283
  42. kc_percentage : 0.368989
  43. kc_width_percentage : 0.0444895
  44. volume_ema_diff : -0.330431
  45. volume_ema1 : 379074.05628493
  46. volume_ema2 : 566147.19842885
  47. regime : bull_high
    48. ¸
  48. 5m
  49. ema9 : 0.161407
  50. ema21 : 0.16164
  51. ema50 : 0.160979
  52. ema100 : 0.159258
  53. price_ema9_diff : -0.00996021
  54. ema9_ema21_diff : -0.00143951
  55. ema21_ema50_diff : 0.00410272
  56. price_ema100_diff : 0.00339788
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : -0.0450011
  60. ema_slope_21 : 0.00988476
  61. ema_slope_50 : 0.0296705
  62. ema_slope_100 : 0.0386657
  63. rsi : 0.37306
  64. adx : 0.206037
  65. kc_percentage : -0.00628712
  66. kc_width_percentage : 0.0228415
  67. volume_ema_diff : -0.166401
  68. volume_ema1 : 160956.37928521
  69. volume_ema2 : 193086.19994003
  70. regime : range_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110762
  74. 5m_price_ema100_diff: 
    -7.77488E-5
  75. 5m_price: 
    110753
  76. 5m_correlation_with_coin: 
    0.249788
  77. btc_indicators
  78. 15m_ema100: 
    111254
  79. 15m_price_ema100_diff: 
    -0.0045005
  80. 15m_price: 
    110753
  81. 15m_correlation_with_coin: 
    -0.050715
  82. btc_indicators
  83. 1H_ema100: 
    110955
  84. 1H_price_ema100_diff: 
    -0.00181613
  85. 1H_price: 
    110753
  86. 1H_correlation_with_coin: 
    0.122892
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Sep 2025
04:24:52		 06 Sep 2025
04:45:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1598 0.1584 0.1626 2 0.0481
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 0.1598
  • Stop Loss: 0.1584
  • Take Profit: 0.1626

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1584 - 0.1598 = -0.0014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1598 - 0.1626 = -0.0028

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0028 / -0.0014 = 2

📌 Position Size

Amount Margin Quantity Leverage
924.7539 100 5786.9458 9.25
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 -0.0014

Taille de position = 8 / -0.0014 = -5714.29

Taille de position USD = -5714.29 x 0.1598 = -913.14

Donc, tu peux acheter -5714.29 avec un stoploss a 0.1584

Avec un position size USD de -913.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5714.29 x -0.0014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5714.29 x -0.0028 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -5714.29
  • Taille de position USD -913.14
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.75 % 16.2 $
SL % Target SL $ Target
0.88 % 8.1 $
PNL PNL %
-8.1 $ -0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8761 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1626
            [entry_price] => 0.1598
            [stop_loss] => 0.15826
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-06 04:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1626
            [entry_price] => 0.1598
            [stop_loss] => 0.15812
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-06 04:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1626
            [entry_price] => 0.1598
            [stop_loss] => 0.15798
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-06 05:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1626
            [entry_price] => 0.1598
            [stop_loss] => 0.1577
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-06 05:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00029999999999999
            [max_drawdown] => 0.0036
            [rr_ratio] => -0.08
            [high] => 0.15950000
            [low] => 0.15620000
            [mfe_pct] => -0.19
            [mae_pct] => 2.25
            [mfe_mae_ratio] => -0.08
            [candles_analyzed] => 24
            [start_at] => 2025-09-06T04:24:52-04:00
            [end_at] => 2025-09-06T06:24:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0026
            [max_drawdown] => 0.0037
            [rr_ratio] => 0.7
            [high] => 0.16240000
            [low] => 0.15610000
            [mfe_pct] => 1.63
            [mae_pct] => 2.32
            [mfe_mae_ratio] => 0.7
            [candles_analyzed] => 84
            [start_at] => 2025-09-06T04:24:52-04:00
            [end_at] => 2025-09-06T11:24:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16410000
            [high_after] => 0.16240000
            [low_before] => 0.15670000
            [low_after] => 0.15610000
            [is_new_high] => 
            [is_new_low] => 
        )

)