Long Trade on PYTH 29 Sep 2025 at 19:09:30

Take profit at 0.1492 (0.54 %) and Stop Loss at 0.148 (0.27 %)

Long Trade on PYTH

The 29 Sep 2025 at 19:09:30

With 19791.15 PYTH at 0.1484$ per unit.

Position size of 2937.0067 $

Take profit at 0.1492 (0.54 %) and Stop Loss at 0.148 (0.27 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.74
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.524594

15m : -0.020129

1H : -0.027123

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0002694807188
Details
  1. score: 2.03
  2. 1H
  3. ema9 : 0.148481
  4. ema21 : 0.14813
  5. ema50 : 0.147417
  6. ema100 : 0.146141
  7. price_ema9_diff : -0.000546767
  8. ema9_ema21_diff : 0.00236482
  9. ema21_ema50_diff : 0.00483795
  10. price_ema100_diff : 0.0154559
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0346073
  14. ema_slope_21 : 0.0226659
  15. ema_slope_50 : 0.0273873
  16. ema_slope_100 : 0.0312744
  17. rsi : 0.514675
  18. adx : 0.117486
  19. kc_percentage : 0.536649
  20. kc_width_percentage : 0.0447262
  21. volume_ema_diff : -0.463726
  22. volume_ema1 : 84501.931247146
  23. volume_ema2 : 157572.43525218
  24. chop : 50.757
  25. regime : bull_high
  26. ¸
  27. 15m
  28. ema9 : 0.148867
  29. ema21 : 0.148642
  30. ema50 : 0.148334
  31. ema100 : 0.148582
  32. price_ema9_diff : -0.00313829
  33. ema9_ema21_diff : 0.00151011
  34. ema21_ema50_diff : 0.00207629
  35. price_ema100_diff : -0.00122756
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0619336
  39. ema_slope_21 : 0.0571599
  40. ema_slope_50 : 0.0297294
  41. ema_slope_100 : 0.00965789
  42. rsi : 0.488422
  43. adx : 0.151309
  44. kc_percentage : 0.39697
  45. kc_width_percentage : 0.0173263
  46. volume_ema_diff : -0.483699
  47. volume_ema1 : 20628.314094653
  48. volume_ema2 : 39954.061578529
  49. chop : 55.2482
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.148726
  54. ema21 : 0.148939
  55. ema50 : 0.148796
  56. ema100 : 0.148643
  57. price_ema9_diff : -0.00219643
  58. ema9_ema21_diff : -0.00143153
  59. ema21_ema50_diff : 0.000965287
  60. price_ema100_diff : -0.00163819
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : -0.0461623
  64. ema_slope_21 : -0.0247869
  65. ema_slope_50 : -0.00104749
  66. ema_slope_100 : 0.00205602
  67. rsi : 0.388182
  68. adx : 0.27444
  69. kc_percentage : -0.0276203
  70. kc_width_percentage : 0.00681514
  71. volume_ema_diff : 0.32115
  72. volume_ema1 : 11253.328903091
  73. volume_ema2 : 8517.8221440241
  74. chop : 43.3634
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    114043
  80. 5m_price_ema100_diff:
    0.00144627
  81. 5m_price:
    114208
  82. 5m_correlation_with_coin:
    0.524594
  83. btc_indicators
  84. 15m_ema100:
    112994
  85. 15m_price_ema100_diff:
    0.0107476
  86. 15m_price:
    114208
  87. 15m_correlation_with_coin:
    -0.020129
  88. btc_indicators
  89. 1H_ema100:
    110847
  90. 1H_price_ema100_diff:
    0.0303246
  91. 1H_price:
    114208
  92. 1H_correlation_with_coin:
    -0.027123
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
19:09:30
29 Sep 2025
19:10:00
30 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1484 0.148 0.1492 2 0.0483
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 0.1484
  • Stop Loss: 0.148
  • Take Profit: 0.1492

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.148 - 0.1484 = -0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1484 - 0.1492 = -0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0008 / -0.00040000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2937.0067 100 19791.15 29.37
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 -0.00040000000000001

Taille de position = 8 / -0.00040000000000001 = -20000

Taille de position USD = -20000 x 0.1484 = -2968

Donc, tu peux acheter -20000 avec un stoploss a 0.148

Avec un position size USD de -2968$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -20000 x -0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -20000 x -0.0008 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -20000
  • Taille de position USD -2968
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.54 % 15.83 $
SL % Target SL $ Target
0.27 % 7.92 $
PNL PNL %
-7.92 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4717 % 175.03 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1492
            [entry_price] => 0.1484
            [stop_loss] => 0.14796
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 19:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1492
            [entry_price] => 0.1484
            [stop_loss] => 0.14792
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 19:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1492
            [entry_price] => 0.1484
            [stop_loss] => 0.14788
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 19:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1492
            [entry_price] => 0.1484
            [stop_loss] => 0.1478
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 19:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.0034
            [rr_ratio] => 0
            [high] => 0.14840000
            [low] => 0.14500000
            [mfe_pct] => 0
            [mae_pct] => 2.29
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T19:09:30-04:00
            [end_at] => 2025-09-29T21:09:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.0045
            [rr_ratio] => 0
            [high] => 0.14840000
            [low] => 0.14390000
            [mfe_pct] => 0
            [mae_pct] => 3.03
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T19:09:30-04:00
            [end_at] => 2025-09-30T02:09:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15020000
            [high_after] => 0.14840000
            [low_before] => 0.14670000
            [low_after] => 0.14390000
            [is_new_high] => 
            [is_new_low] => 
        )

)