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Long Trade on PYTH

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Long Trade on PYTH 10 Sep 2025 at 11:31:23

Take profit at 0.1809 (1.97 %) and Stop Loss at 0.1756 (1.01 %)

Long Trade on PYTH

The 10 Sep 2025 at 11:31:23

With 4563.6333 PYTH at 0.1774$ per unit.

Position size of 809.5886 $

Take profit at 0.1809 (1.97 %) and Stop Loss at 0.1756 (1.01 %)

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
0.85
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.77
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 : bull_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.160289

15m : 0.036472

1H : 0.073272

 3

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.001168659478
Details
  1. score: 2.07
  2. 1H
  3. ema9 : 0.179213
  4. ema21 : 0.175113
  5. ema50 : 0.169734
  6. ema100 : 0.166249
  7. price_ema9_diff : -0.0101219
  8. ema9_ema21_diff : 0.0234134
  9. ema21_ema50_diff : 0.0316934
  10. price_ema100_diff : 0.0670684
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.636379
  14. ema_slope_21 : 0.551683
  15. ema_slope_50 : 0.328269
  16. ema_slope_100 : 0.193521
  17. rsi : 0.559014
  18. adx : 0.447825
  19. kc_percentage : 0.598704
  20. kc_width_percentage : 0.112719
  21. volume_ema_diff : 0.190696
  22. volume_ema1 : 2040779.3672823
  23. volume_ema2 : 1713937.2171939
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.179582
  27. ema21 : 0.180057
  28. ema50 : 0.177831
  29. ema100 : 0.173271
  30. price_ema9_diff : -0.0121551
  31. ema9_ema21_diff : -0.00263331
  32. ema21_ema50_diff : 0.0125158
  33. price_ema100_diff : 0.0238273
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0168564
  37. ema_slope_21 : 0.0476835
  38. ema_slope_50 : 0.0925514
  39. ema_slope_100 : 0.104402
  40. rsi : 0.425828
  41. adx : 0.245476
  42. kc_percentage : 0.205737
  43. kc_width_percentage : 0.0512342
  44. volume_ema_diff : -0.267392
  45. volume_ema1 : 420746.55106839
  46. volume_ema2 : 574313.84713951
  47. regime : bull_high
    48. ¸
  48. 5m
  49. ema9 : 0.178815
  50. ema21 : 0.179918
  51. ema50 : 0.180467
  52. ema100 : 0.180111
  53. price_ema9_diff : -0.00791511
  54. ema9_ema21_diff : -0.00613335
  55. ema21_ema50_diff : -0.00303803
  56. price_ema100_diff : -0.0150534
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : -0.095712
  60. ema_slope_21 : -0.0754435
  61. ema_slope_50 : -0.0310764
  62. ema_slope_100 : -0.00830614
  63. rsi : 0.317801
  64. adx : 0.191777
  65. kc_percentage : -0.0669689
  66. kc_width_percentage : 0.0244573
  67. volume_ema_diff : 0.471262
  68. volume_ema1 : 281891.22056285
  69. volume_ema2 : 191598.22794501
  70. regime : bear_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    113021
  74. 5m_price_ema100_diff: 
    0.00701801
  75. 5m_price: 
    113814
  76. 5m_correlation_with_coin: 
    0.160289
  77. btc_indicators
  78. 15m_ema100: 
    112224
  79. 15m_price_ema100_diff: 
    0.0141628
  80. 15m_price: 
    113814
  81. 15m_correlation_with_coin: 
    0.036472
  82. btc_indicators
  83. 1H_ema100: 
    111675
  84. 1H_price_ema100_diff: 
    0.0191476
  85. 1H_price: 
    113814
  86. 1H_correlation_with_coin: 
    0.073272
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
11:31:23		 10 Sep 2025
12:00:00		 28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1774 0.1756 0.1809 1.94 0.0516
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 0.1774
  • Stop Loss: 0.1756
  • Take Profit: 0.1809

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1756 - 0.1774 = -0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1774 - 0.1809 = -0.0035

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0035 / -0.0018 = 1.9444

📌 Position Size

Amount Margin Quantity Leverage
809.5886 100 4563.6333 8.10
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 -0.0018

Taille de position = 8 / -0.0018 = -4444.44

Taille de position USD = -4444.44 x 0.1774 = -788.44

Donc, tu peux acheter -4444.44 avec un stoploss a 0.1756

Avec un position size USD de -788.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4444.44 x -0.0018 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4444.44 x -0.0035 = 15.56

Si Take Profit atteint, tu gagneras 15.56$

Résumé

  • Taille de position -4444.44
  • Taille de position USD -788.44
  • Perte potentielle 8
  • Gain potentiel 15.56
  • Risk-Reward Ratio 1.9444

📌 Peformances

TP % Target TP $ Target
1.97 % 15.97 $
SL % Target SL $ Target
1.01 % 8.21 $
PNL PNL %
-8.21 $ -1.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0147 % 100 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1809
            [entry_price] => 0.1774
            [stop_loss] => 0.17542
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 12:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1809
            [entry_price] => 0.1774
            [stop_loss] => 0.17524
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 12:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1809
            [entry_price] => 0.1774
            [stop_loss] => 0.17506
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 12:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1809
            [entry_price] => 0.1774
            [stop_loss] => 0.1747
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 12:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00059999999999999
            [max_drawdown] => 0.0045
            [rr_ratio] => 0.13
            [high] => 0.17800000
            [low] => 0.17290000
            [mfe_pct] => 0.34
            [mae_pct] => 2.54
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T11:31:23-04:00
            [end_at] => 2025-09-10T13:31:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00059999999999999
            [max_drawdown] => 0.0087
            [rr_ratio] => 0.07
            [high] => 0.17800000
            [low] => 0.16870000
            [mfe_pct] => 0.34
            [mae_pct] => 4.9
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T11:31:23-04:00
            [end_at] => 2025-09-10T18:31:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.18750000
            [high_after] => 0.17800000
            [low_before] => 0.17630000
            [low_after] => 0.16870000
            [is_new_high] => 
            [is_new_low] => 
        )

)