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Short Trade on PYTH

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Short Trade on PYTH 09 Sep 2025 at 15:14:31

Take profit at 0.1595 (0.93 %) and Stop Loss at 0.1617 (0.43 %)

Short Trade on PYTH

The 09 Sep 2025 at 15:14:31

With 10907.6643 PYTH at 0.161$ per unit.

Position size of 1756.134 $

Take profit at 0.1595 (0.93 %) and Stop Loss at 0.1617 (0.43 %)

That's a 2.14 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.13
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.79
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.623912

15m : -0.087682

1H : -0.212145

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0004889528297
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.160503
  4. ema21 : 0.16114
  5. ema50 : 0.161876
  6. ema100 : 0.160541
  7. price_ema9_diff : 0.00309538
  8. ema9_ema21_diff : -0.00395388
  9. ema21_ema50_diff : -0.00455043
  10. price_ema100_diff : 0.00285531
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0371161
  14. ema_slope_21 : -0.0336165
  15. ema_slope_50 : -0.0254969
  16. ema_slope_100 : 0.00876091
  17. rsi : 0.486381
  18. adx : 0.163435
  19. kc_percentage : 0.490268
  20. kc_width_percentage : 0.058576
  21. volume_ema_diff : -0.455853
  22. volume_ema1 : 547750.81865035
  23. volume_ema2 : 1006623.1363699
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.159789
  27. ema21 : 0.159767
  28. ema50 : 0.160475
  29. ema100 : 0.161059
  30. price_ema9_diff : 0.00757591
  31. ema9_ema21_diff : 0.000134309
  32. ema21_ema50_diff : -0.00440855
  33. price_ema100_diff : -0.000369219
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0447587
  37. ema_slope_21 : -0.0338026
  38. ema_slope_50 : -0.0382676
  39. ema_slope_100 : -0.0259634
  40. rsi : 0.568373
  41. adx : 0.250158
  42. kc_percentage : 0.795818
  43. kc_width_percentage : 0.0264569
  44. volume_ema_diff : -0.34625
  45. volume_ema1 : 127438.86389912
  46. volume_ema2 : 194935.24269067
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.16039
  50. ema21 : 0.159795
  51. ema50 : 0.159516
  52. ema100 : 0.160082
  53. price_ema9_diff : 0.00380021
  54. ema9_ema21_diff : 0.00372393
  55. ema21_ema50_diff : 0.00174575
  56. price_ema100_diff : 0.00573151
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.074169
  60. ema_slope_21 : 0.0578589
  61. ema_slope_50 : 0.0226505
  62. ema_slope_100 : 0.00144011
  63. rsi : 0.672051
  64. adx : 0.285184
  65. kc_percentage : 1.12556
  66. kc_width_percentage : 0.0115958
  67. volume_ema_diff : -0.496175
  68. volume_ema1 : 29811.942475782
  69. volume_ema2 : 59171.303111106
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    111587
  74. 5m_price_ema100_diff: 
    -0.00318804
  75. 5m_price: 
    111232
  76. 5m_correlation_with_coin: 
    0.623912
  77. btc_indicators
  78. 15m_ema100: 
    111976
  79. 15m_price_ema100_diff: 
    -0.00664929
  80. 15m_price: 
    111232
  81. 15m_correlation_with_coin: 
    -0.087682
  82. btc_indicators
  83. 1H_ema100: 
    111428
  84. 1H_price_ema100_diff: 
    -0.0017645
  85. 1H_price: 
    111232
  86. 1H_correlation_with_coin: 
    -0.212145
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
15:14:31		 09 Sep 2025
15:25:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.161 0.1617 0.1595 2.14 0.0529
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 0.161
  • Stop Loss: 0.1617
  • Take Profit: 0.1595

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1617 - 0.161 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.161 - 0.1595 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00070000000000001 = 2.1429

📌 Position Size

Amount Margin Quantity Leverage
1756.134 100 10907.6643 17.56
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 0.00070000000000001

Taille de position = 8 / 0.00070000000000001 = 11428.57

Taille de position USD = 11428.57 x 0.161 = 1840

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1617

Avec un position size USD de 1840$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0015 = 17.14

Si Take Profit atteint, tu gagneras 17.14$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 1840
  • Perte potentielle 8
  • Gain potentiel 17.14
  • Risk-Reward Ratio 2.1429

📌 Peformances

TP % Target TP $ Target
0.93 % 16.36 $
SL % Target SL $ Target
0.43 % 7.64 $
PNL PNL %
-7.64 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4348 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1595
            [entry_price] => 0.161
            [stop_loss] => 0.16177
            [rr_ratio] => 1.95
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 15:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1595
            [entry_price] => 0.161
            [stop_loss] => 0.16184
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 15:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1595
            [entry_price] => 0.161
            [stop_loss] => 0.16191
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 15:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1595
            [entry_price] => 0.161
            [stop_loss] => 0.16205
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 15:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0042
            [rr_ratio] => 0.12
            [high] => 0.16520000
            [low] => 0.16050000
            [mfe_pct] => 0.31
            [mae_pct] => 2.61
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T15:14:31-04:00
            [end_at] => 2025-09-09T17:14:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0098
            [rr_ratio] => 0.05
            [high] => 0.17080000
            [low] => 0.16050000
            [mfe_pct] => 0.31
            [mae_pct] => 6.09
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T15:14:31-04:00
            [end_at] => 2025-09-09T22:14:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16120000
            [high_after] => 0.17080000
            [low_before] => 0.15650000
            [low_after] => 0.16050000
            [is_new_high] => 
            [is_new_low] => 
        )

)