Long Trade on PYTH 06 Sep 2025 at 05:12:04

Take profit at 0.1605 (1.52 %) and Stop Loss at 0.1569 (0.76 %)

Long Trade on PYTH

The 06 Sep 2025 at 05:12:04

With 6538.9594 PYTH at 0.1581$ per unit.

Position size of 1033.8095 $

Take profit at 0.1605 (1.52 %) and Stop Loss at 0.1569 (0.76 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.33
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.64
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 : bear_medium

BTC Correlation Score

5m : 0.229044

15m : 0.00397

1H : 0.096915

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0008156241679
Details
  1. score: 2.03
  2. 1H
  3. ema9 : 0.158774
  4. ema21 : 0.156018
  5. ema50 : 0.154421
  6. ema100 : 0.155803
  7. price_ema9_diff : -0.00424575
  8. ema9_ema21_diff : 0.0176633
  9. ema21_ema50_diff : 0.0103381
  10. price_ema100_diff : 0.0147408
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.53654
  14. ema_slope_21 : 0.352821
  15. ema_slope_50 : 0.141624
  16. ema_slope_100 : 0.0386103
  17. rsi : 0.558922
  18. adx : 0.352952
  19. kc_percentage : 0.636406
  20. kc_width_percentage : 0.0887545
  21. volume_ema_diff : 0.109436
  22. volume_ema1 : 1643724.2015839
  23. volume_ema2 : 1481584.5806547
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.16001
  28. ema21 : 0.160039
  29. ema50 : 0.157715
  30. ema100 : 0.155235
  31. price_ema9_diff : -0.0119377
  32. ema9_ema21_diff : -0.000184397
  33. ema21_ema50_diff : 0.0147375
  34. price_ema100_diff : 0.0184543
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0280462
  38. ema_slope_21 : 0.0515249
  39. ema_slope_50 : 0.0987554
  40. ema_slope_100 : 0.0815872
  41. rsi : 0.444036
  42. adx : 0.301126
  43. kc_percentage : 0.213314
  44. kc_width_percentage : 0.0439901
  45. volume_ema_diff : -0.247451
  46. volume_ema1 : 416990.85973134
  47. volume_ema2 : 554105.17744934
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.158851
  52. ema21 : 0.159797
  53. ema50 : 0.160293
  54. ema100 : 0.159736
  55. price_ema9_diff : -0.00473375
  56. ema9_ema21_diff : -0.00591447
  57. ema21_ema50_diff : -0.00309705
  58. price_ema100_diff : -0.0102466
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.163799
  62. ema_slope_21 : -0.10913
  63. ema_slope_50 : -0.0442273
  64. ema_slope_100 : -0.0112045
  65. rsi : 0.346295
  66. adx : 0.267081
  67. kc_percentage : -0.0256076
  68. kc_width_percentage : 0.019779
  69. volume_ema_diff : -0.339268
  70. volume_ema1 : 117794.88129688
  71. volume_ema2 : 178279.36539765
  72. regime : bear_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110788
  77. 5m_price_ema100_diff:
    -0.000145473
  78. 5m_price:
    110772
  79. 5m_correlation_with_coin:
    0.229044
  80. btc_indicators
  81. 15m_ema100:
    111225
  82. 15m_price_ema100_diff:
    -0.00407591
  83. 15m_price:
    110772
  84. 15m_correlation_with_coin:
    0.00397
  85. btc_indicators
  86. 1H_ema100:
    110975
  87. 1H_price_ema100_diff:
    -0.00182844
  88. 1H_price:
    110772
  89. 1H_correlation_with_coin:
    0.096915
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Sep 2025
05:12:04
06 Sep 2025
05:40:00
27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1581 0.1569 0.1605 2 0.0479
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 0.1581
  • Stop Loss: 0.1569
  • Take Profit: 0.1605

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1569 - 0.1581 = -0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1581 - 0.1605 = -0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0024 / -0.0012 = 2

📌 Position Size

Amount Margin Quantity Leverage
1033.8095 100 6538.9594 10.34
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 -0.0012

Taille de position = 8 / -0.0012 = -6666.67

Taille de position USD = -6666.67 x 0.1581 = -1054

Donc, tu peux acheter -6666.67 avec un stoploss a 0.1569

Avec un position size USD de -1054$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6666.67 x -0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6666.67 x -0.0024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -6666.67
  • Taille de position USD -1054
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.52 % 15.69 $
SL % Target SL $ Target
0.76 % 7.85 $
PNL PNL %
-7.85 $ -0.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.759 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1605
            [entry_price] => 0.1581
            [stop_loss] => 0.15678
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-06 05:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1605
            [entry_price] => 0.1581
            [stop_loss] => 0.15666
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-06 05:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1605
            [entry_price] => 0.1581
            [stop_loss] => 0.15654
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-06 05:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1605
            [entry_price] => 0.1581
            [stop_loss] => 0.1563
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-06 06:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.002
            [rr_ratio] => 0.25
            [high] => 0.15860000
            [low] => 0.15610000
            [mfe_pct] => 0.32
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 24
            [start_at] => 2025-09-06T05:12:04-04:00
            [end_at] => 2025-09-06T07:12:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0071
            [max_drawdown] => 0.002
            [rr_ratio] => 3.55
            [high] => 0.16520000
            [low] => 0.15610000
            [mfe_pct] => 4.49
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 3.55
            [candles_analyzed] => 84
            [start_at] => 2025-09-06T05:12:04-04:00
            [end_at] => 2025-09-06T12:12:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16410000
            [high_after] => 0.16240000
            [low_before] => 0.15740000
            [low_after] => 0.15610000
            [is_new_high] => 
            [is_new_low] => 
        )

)