Short Trade on PYTH 09 Sep 2025 at 15:01:24

Take profit at 0.1593 (0.87 %) and Stop Loss at 0.1614 (0.44 %)

Short Trade on PYTH

The 09 Sep 2025 at 15:01:24

With 11812.6579 PYTH at 0.1607$ per unit.

Position size of 1898.2941 $

Take profit at 0.1593 (0.87 %) and Stop Loss at 0.1614 (0.44 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.12
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.77
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 : range_low

BTC Correlation Score

5m : 0.630898

15m : 0.021986

1H : 0.033585

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.0004514930845
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.160443
  4. ema21 : 0.161113
  5. ema50 : 0.161865
  6. ema100 : 0.160535
  7. price_ema9_diff : 0.00160068
  8. ema9_ema21_diff : -0.00415768
  9. ema21_ema50_diff : -0.00464657
  10. price_ema100_diff : 0.00102368
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0402175
  14. ema_slope_21 : -0.0350212
  15. ema_slope_50 : -0.0261007
  16. ema_slope_100 : 0.00845223
  17. rsi : 0.476759
  18. adx : 0.166113
  19. kc_percentage : 0.459958
  20. kc_width_percentage : 0.0564452
  21. volume_ema_diff : -0.474616
  22. volume_ema1 : 527618.66935992
  23. volume_ema2 : 1004254.6482181
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.159729
  28. ema21 : 0.15974
  29. ema50 : 0.160463
  30. ema100 : 0.161053
  31. price_ema9_diff : 0.00607621
  32. ema9_ema21_diff : -7.05449E-5
  33. ema21_ema50_diff : -0.00450552
  34. price_ema100_diff : -0.00219508
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0416127
  38. ema_slope_21 : -0.0352193
  39. ema_slope_50 : -0.0388757
  40. ema_slope_100 : -0.0262698
  41. rsi : 0.552135
  42. adx : 0.244674
  43. kc_percentage : 0.753523
  44. kc_width_percentage : 0.0242661
  45. volume_ema_diff : -0.442755
  46. volume_ema1 : 107306.71460869
  47. volume_ema2 : 192566.75453886
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.160172
  52. ema21 : 0.159597
  53. ema50 : 0.159409
  54. ema100 : 0.16
  55. price_ema9_diff : 0.00329252
  56. ema9_ema21_diff : 0.00360128
  57. ema21_ema50_diff : 0.00118382
  58. price_ema100_diff : 0.0043711
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0694223
  62. ema_slope_21 : 0.0531114
  63. ema_slope_50 : 0.0181826
  64. ema_slope_100 : -0.000909769
  65. rsi : 0.686089
  66. adx : 0.260069
  67. kc_percentage : 1.15308
  68. kc_width_percentage : 0.0101818
  69. volume_ema_diff : -0.546023
  70. volume_ema1 : 27873.077579409
  71. volume_ema2 : 61397.675620435
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111603
  77. 5m_price_ema100_diff:
    -0.00445444
  78. 5m_price:
    111106
  79. 5m_correlation_with_coin:
    0.630898
  80. btc_indicators
  81. 15m_ema100:
    111974
  82. 15m_price_ema100_diff:
    -0.00774541
  83. 15m_price:
    111106
  84. 15m_correlation_with_coin:
    0.021986
  85. btc_indicators
  86. 1H_ema100:
    111426
  87. 1H_price_ema100_diff:
    -0.0028659
  88. 1H_price:
    111106
  89. 1H_correlation_with_coin:
    0.033585
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
15:01:24
09 Sep 2025
15:20:00
18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1607 0.1614 0.1593 2 0.0521
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 0.1607
  • Stop Loss: 0.1614
  • Take Profit: 0.1593

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1614 - 0.1607 = 0.00069999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1607 - 0.1593 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00069999999999998 = 2

📌 Position Size

Amount Margin Quantity Leverage
1898.2941 100 11812.6579 18.98
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 0.00069999999999998

Taille de position = 8 / 0.00069999999999998 = 11428.57

Taille de position USD = 11428.57 x 0.1607 = 1836.57

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1614

Avec un position size USD de 1836.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00069999999999998 = 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 0.0014 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 1836.57
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.87 % 16.54 $
SL % Target SL $ Target
0.44 % 8.27 $
PNL PNL %
-8.27 $ -0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4356 % 100 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1593
            [entry_price] => 0.1607
            [stop_loss] => 0.16147
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 15:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1593
            [entry_price] => 0.1607
            [stop_loss] => 0.16154
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 15:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1593
            [entry_price] => 0.1607
            [stop_loss] => 0.16161
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 15:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1593
            [entry_price] => 0.1607
            [stop_loss] => 0.16175
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 15:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0045
            [rr_ratio] => 0.11
            [high] => 0.16520000
            [low] => 0.16020000
            [mfe_pct] => 0.31
            [mae_pct] => 2.8
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T15:01:24-04:00
            [end_at] => 2025-09-09T17:01:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0101
            [rr_ratio] => 0.05
            [high] => 0.17080000
            [low] => 0.16020000
            [mfe_pct] => 0.31
            [mae_pct] => 6.29
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T15:01:24-04:00
            [end_at] => 2025-09-09T22:01:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16070000
            [high_after] => 0.17080000
            [low_before] => 0.15650000
            [low_after] => 0.16020000
            [is_new_high] => 
            [is_new_low] => 
        )

)