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Short Trade on PYTH

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Short Trade on PYTH 13 Sep 2025 at 22:08:28

Take profit at 0.1737 (1.03 %) and Stop Loss at 0.1764 (0.51 %)

Short Trade on PYTH

The 13 Sep 2025 at 22:08:28

With 9138.2879 PYTH at 0.1755$ per unit.

Position size of 1603.7695 $

Take profit at 0.1737 (1.03 %) and Stop Loss at 0.1764 (0.51 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.24
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.81
Prediction 3 Probability
0 0.86
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.397787

15m : 0.130666

1H : -0.004342

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.0005836250078
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 0.175007
  4. ema21 : 0.175681
  5. ema50 : 0.176129
  6. ema100 : 0.174744
  7. price_ema9_diff : 0.00281586
  8. ema9_ema21_diff : -0.00384057
  9. ema21_ema50_diff : -0.0025437
  10. price_ema100_diff : 0.00432521
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.125543
  14. ema_slope_21 : -0.0960461
  15. ema_slope_50 : -0.0427869
  16. ema_slope_100 : -0.00154808
  17. rsi : 0.485172
  18. adx : 0.159367
  19. kc_percentage : 0.48486
  20. kc_width_percentage : 0.0500169
  21. volume_ema_diff : -0.444974
  22. volume_ema1 : 460707.68824662
  23. volume_ema2 : 830066.18290301
  24. regime : range_high
    25. ¸
  25. 15m
  26. ema9 : 0.174178
  27. ema21 : 0.174558
  28. ema50 : 0.175159
  29. ema100 : 0.175773
  30. price_ema9_diff : 0.00758961
  31. ema9_ema21_diff : -0.00217739
  32. ema21_ema50_diff : -0.00343439
  33. price_ema100_diff : -0.00155496
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.068544
  37. ema_slope_21 : -0.0431743
  38. ema_slope_50 : -0.0278437
  39. ema_slope_100 : -0.0196789
  40. rsi : 0.546707
  41. adx : 0.171993
  42. kc_percentage : 0.738006
  43. kc_width_percentage : 0.0231609
  44. volume_ema_diff : 0.0915171
  45. volume_ema1 : 184717.29459369
  46. volume_ema2 : 169229.85325011
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.174005
  50. ema21 : 0.173897
  51. ema50 : 0.174354
  52. ema100 : 0.174427
  53. price_ema9_diff : 0.00858854
  54. ema9_ema21_diff : 0.000619561
  55. ema21_ema50_diff : -0.0026214
  56. price_ema100_diff : 0.00614947
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0147127
  60. ema_slope_21 : -0.0262455
  61. ema_slope_50 : -0.0264519
  62. ema_slope_100 : -0.0134842
  63. rsi : 0.654854
  64. adx : 0.264985
  65. kc_percentage : 1.14309
  66. kc_width_percentage : 0.0143295
  67. volume_ema_diff : 0.184717
  68. volume_ema1 : 63316.400791834
  69. volume_ema2 : 53444.300742639
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115788
  74. 5m_price_ema100_diff: 
    0.00148228
  75. 5m_price: 
    115960
  76. 5m_correlation_with_coin: 
    0.397787
  77. btc_indicators
  78. 15m_ema100: 
    115800
  79. 15m_price_ema100_diff: 
    0.00137517
  80. 15m_price: 
    115960
  81. 15m_correlation_with_coin: 
    0.130666
  82. btc_indicators
  83. 1H_ema100: 
    114678
  84. 1H_price_ema100_diff: 
    0.0111737
  85. 1H_price: 
    115960
  86. 1H_correlation_with_coin: 
    -0.004342
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
22:08:28		 13 Sep 2025
22:10:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1755 0.1764 0.1737 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 0.1755
  • Stop Loss: 0.1764
  • Take Profit: 0.1737

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1764 - 0.1755 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1755 - 0.1737 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.00090000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1603.7695 100 9138.2879 16.04
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 0.00090000000000001

Taille de position = 8 / 0.00090000000000001 = 8888.89

Taille de position USD = 8888.89 x 0.1755 = 1560

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1764

Avec un position size USD de 1560$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1560
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.03 % 16.45 $
SL % Target SL $ Target
0.51 % 8.22 $
PNL PNL %
-8.22 $ -0.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5698 % 111.12 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1737
            [entry_price] => 0.1755
            [stop_loss] => 0.17649
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 22:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1737
            [entry_price] => 0.1755
            [stop_loss] => 0.17658
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 22:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1737
            [entry_price] => 0.1755
            [stop_loss] => 0.17667
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 22:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1737
            [entry_price] => 0.1755
            [stop_loss] => 0.17685
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 22:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0033
            [max_drawdown] => 0.0015
            [rr_ratio] => 2.2
            [high] => 0.17700000
            [low] => 0.17220000
            [mfe_pct] => 1.88
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 2.2
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T22:08:28-04:00
            [end_at] => 2025-09-14T00:08:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0037
            [max_drawdown] => 0.0015
            [rr_ratio] => 2.47
            [high] => 0.17700000
            [low] => 0.17180000
            [mfe_pct] => 2.11
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 2.47
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T22:08:28-04:00
            [end_at] => 2025-09-14T05:08:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17620000
            [high_after] => 0.17700000
            [low_before] => 0.17180000
            [low_after] => 0.17180000
            [is_new_high] => 
            [is_new_low] => 
        )

)