Short Trade on PYTH 11 Oct 2025 at 13:53:42

Take profit at 0.1118 (1.76 %) and Stop Loss at 0.1148 (0.88 %)

Short Trade on PYTH

The 11 Oct 2025 at 13:53:42

With 8168.6713 PYTH at 0.1138$ per unit.

Position size of 929.5948 $

Take profit at 0.1118 (1.76 %) and Stop Loss at 0.1148 (0.88 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.7
Prediction 2 Probability
0 0.62
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium_confirmed

BTC Correlation Score

5m : 0.546834

15m : -0.218025

1H : -0.056914

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0006529009587
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.112403
  4. ema21 : 0.116908
  5. ema50 : 0.129532
  6. ema100 : 0.140292
  7. price_ema9_diff : 0.0124236
  8. ema9_ema21_diff : -0.0385321
  9. ema21_ema50_diff : -0.0974604
  10. price_ema100_diff : -0.188836
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.209418
  14. ema_slope_21 : -0.662805
  15. ema_slope_50 : -0.635096
  16. ema_slope_100 : -0.429454
  17. rsi : 0.391719
  18. adx : 0.525805
  19. kc_percentage : 0.350404
  20. kc_width_percentage : 0.153167
  21. volume_ema_diff : -0.703991
  22. volume_ema1 : 333624.78417054
  23. volume_ema2 : 1127079.5996305
  24. chop : 94.2929
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.112027
  29. ema21 : 0.111893
  30. ema50 : 0.112921
  31. ema100 : 0.117807
  32. price_ema9_diff : 0.0158213
  33. ema9_ema21_diff : 0.00120012
  34. ema21_ema50_diff : -0.00910898
  35. price_ema100_diff : -0.0340154
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0640289
  39. ema_slope_21 : 0.0066513
  40. ema_slope_50 : -0.047604
  41. ema_slope_100 : -0.112827
  42. rsi : 0.541262
  43. adx : 0.16264
  44. kc_percentage : 0.92004
  45. kc_width_percentage : 0.0399732
  46. volume_ema_diff : -0.604879
  47. volume_ema1 : 58621.177509054
  48. volume_ema2 : 148362.85772073
  49. chop : 74.0388
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.112508
  54. ema21 : 0.112108
  55. ema50 : 0.111884
  56. ema100 : 0.112192
  57. price_ema9_diff : 0.0114789
  58. ema9_ema21_diff : 0.003566
  59. ema21_ema50_diff : 0.0020049
  60. price_ema100_diff : 0.0143319
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0746694
  64. ema_slope_21 : 0.0465555
  65. ema_slope_50 : 0.0199363
  66. ema_slope_100 : 0.00193336
  67. rsi : 0.654218
  68. adx : 0.120514
  69. kc_percentage : 1.1326
  70. kc_width_percentage : 0.0231854
  71. volume_ema_diff : 1.24533
  72. volume_ema1 : 65073.418548324
  73. volume_ema2 : 28981.546757873
  74. chop : 40.8
  75. regime : bull_medium_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111918
  80. 5m_price_ema100_diff:
    -0.000350896
  81. 5m_price:
    111879
  82. 5m_correlation_with_coin:
    0.546834
  83. btc_indicators
  84. 15m_ema100:
    113038
  85. 15m_price_ema100_diff:
    -0.0102551
  86. 15m_price:
    111879
  87. 15m_correlation_with_coin:
    -0.218025
  88. btc_indicators
  89. 1H_ema100:
    118213
  90. 1H_price_ema100_diff:
    -0.053585
  91. 1H_price:
    111879
  92. 1H_correlation_with_coin:
    -0.056914
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
13:53:42
11 Oct 2025
14:50:00
56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1138 0.1148 0.1118 2 0.051
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 0.1138
  • Stop Loss: 0.1148
  • Take Profit: 0.1118

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1148 - 0.1138 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1138 - 0.1118 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
929.5948 100 8168.6713 9.30
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1138 = 910.4

Donc, tu peux acheter 8000 avec un stoploss a 0.1148

Avec un position size USD de 910.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8000
  • Taille de position USD 910.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.76 % 16.34 $
SL % Target SL $ Target
0.88 % 8.17 $
PNL PNL %
16.34 $ 1.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1757 % 20 % 2

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 0.1118
            [stop_loss] => 0.1148
            [rr_ratio] => 2
            [closed_at] => 2025-10-11 14:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1113
            [stop_loss] => 0.1148
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-11 15:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1108
            [stop_loss] => 0.1148
            [rr_ratio] => 3
            [closed_at] => 2025-10-11 15:00:00
            [result] => win
        )

    [3.5] => Array
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            [take_profit] => 0.1103
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            [rr_ratio] => 3.5
            [closed_at] => 2025-10-11 15:10:00
            [result] => win
        )

    [4] => Array
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            [take_profit] => 0.1098
            [stop_loss] => 0.1148
            [rr_ratio] => 4
            [closed_at] => 2025-10-11 15:15:00
            [result] => win
        )

    [4.5] => Array
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            [take_profit] => 0.1093
            [stop_loss] => 0.1148
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-11 15:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1088
            [stop_loss] => 0.1148
            [rr_ratio] => 5
            [closed_at] => 2025-10-11 15:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1083
            [stop_loss] => 0.1148
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-11 15:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1078
            [stop_loss] => 0.1148
            [rr_ratio] => 6
            [closed_at] => 2025-10-11 15:50:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1073
            [stop_loss] => 0.1148
            [rr_ratio] => 6.5
            [closed_at] => 2025-10-11 15:50:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1068
            [stop_loss] => 0.1148
            [rr_ratio] => 7
            [closed_at] => 2025-10-11 15:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0073
            [max_drawdown] => 0.00020000000000001
            [rr_ratio] => 36.5
            [high] => 0.11400000
            [low] => 0.10650000
            [mfe_pct] => 6.41
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 36.5
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T13:53:42-04:00
            [end_at] => 2025-10-11T15:53:42-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.0106
            [max_drawdown] => 0.00020000000000001
            [rr_ratio] => 53
            [high] => 0.11400000
            [low] => 0.10320000
            [mfe_pct] => 9.31
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 53
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T13:53:42-04:00
            [end_at] => 2025-10-11T20:53:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11390000
            [high_after] => 0.11400000
            [low_before] => 0.10960000
            [low_after] => 0.10320000
            [is_new_high] => 
            [is_new_low] => 1
        )

)