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Short Trade on PYTH

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Short Trade on PYTH 12 Oct 2025 at 00:27:01

Take profit at 0.1083 (1.63 %) and Stop Loss at 0.111 (0.82 %)

Short Trade on PYTH

The 12 Oct 2025 at 00:27:01

With 9007.0845 PYTH at 0.1101$ per unit.

Position size of 991.68 $

Take profit at 0.1083 (1.63 %) and Stop Loss at 0.111 (0.82 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.43
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.83
Prediction 3 Probability
0 0.92
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 : bull_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.741959

15m : -0.080417

1H : 0.02291

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0005921264882
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.108357
  4. ema21 : 0.111021
  5. ema50 : 0.121826
  6. ema100 : 0.134003
  7. price_ema9_diff : 0.0160792
  8. ema9_ema21_diff : -0.0239931
  9. ema21_ema50_diff : -0.0886927
  10. price_ema100_diff : -0.178377
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.27492
  14. ema_slope_21 : -0.440623
  15. ema_slope_50 : -0.536266
  16. ema_slope_100 : -0.412428
  17. rsi : 0.433944
  18. adx : 0.524022
  19. kc_percentage : 0.45463
  20. kc_width_percentage : 0.118921
  21. volume_ema_diff : -0.614429
  22. volume_ema1 : 327618.60305197
  23. volume_ema2 : 849698.80897297
  24. chop : 66.5828
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.10868
  28. ema21 : 0.10816
  29. ema50 : 0.108656
  30. ema100 : 0.109433
  31. price_ema9_diff : 0.0130615
  32. ema9_ema21_diff : 0.00480908
  33. ema21_ema50_diff : -0.00456218
  34. price_ema100_diff : 0.0060918
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0888412
  38. ema_slope_21 : 0.0249424
  39. ema_slope_50 : -0.0254408
  40. ema_slope_100 : -0.0285083
  41. rsi : 0.626879
  42. adx : 0.174353
  43. kc_percentage : 0.888798
  44. kc_width_percentage : 0.0451226
  45. volume_ema_diff : -0.370283
  46. volume_ema1 : 71656.788598592
  47. volume_ema2 : 113792.15930357
  48. chop : 49.6008
  49. regime : bull_high
    50. ¸
  50. 5m
  51. ema9 : 0.109565
  52. ema21 : 0.108792
  53. ema50 : 0.108104
  54. ema100 : 0.107681
  55. price_ema9_diff : 0.00488133
  56. ema9_ema21_diff : 0.00710464
  57. ema21_ema50_diff : 0.00635974
  58. price_ema100_diff : 0.0224569
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.151672
  62. ema_slope_21 : 0.108773
  63. ema_slope_50 : 0.0582686
  64. ema_slope_100 : 0.0336406
  65. rsi : 0.666232
  66. adx : 0.318313
  67. kc_percentage : 1.05846
  68. kc_width_percentage : 0.0205316
  69. volume_ema_diff : -0.257373
  70. volume_ema1 : 23611.022148851
  71. volume_ema2 : 31793.951869747
  72. chop : 38.4611
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110511
  77. 5m_price_ema100_diff: 
    0.00519319
  78. 5m_price: 
    111085
  79. 5m_correlation_with_coin: 
    0.741959
  80. btc_indicators
  81. 15m_ema100: 
    111157
  82. 15m_price_ema100_diff: 
    -0.00158141
  83. 15m_price: 
    110982
  84. 15m_correlation_with_coin: 
    -0.080417
  85. btc_indicators
  86. 1H_ema100: 
    116632
  87. 1H_price_ema100_diff: 
    -0.0475563
  88. 1H_price: 
    111085
  89. 1H_correlation_with_coin: 
    0.02291
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Oct 2025
00:27:01		 12 Oct 2025
02:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1101 0.111 0.1083 2 0.0516
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 0.1101
  • Stop Loss: 0.111
  • Take Profit: 0.1083

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.111 - 0.1101 = 0.0009

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1101 - 0.1083 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.0009 = 2

📌 Position Size

Amount Margin Quantity Leverage
991.68 100 9007.0845 9.92
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 0.0009

Taille de position = 8 / 0.0009 = 8888.89

Taille de position USD = 8888.89 x 0.1101 = 978.67

Donc, tu peux acheter 8888.89 avec un stoploss a 0.111

Avec un position size USD de 978.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.0009 = 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 978.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.63 % 16.21 $
SL % Target SL $ Target
0.82 % 8.11 $
PNL PNL %
-8.11 $ -0.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9083 % 111.12 % 15

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1083
            [entry_price] => 0.1101
            [stop_loss] => 0.11109
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-12 02:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1083
            [entry_price] => 0.1101
            [stop_loss] => 0.11118
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-12 02:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1083
            [entry_price] => 0.1101
            [stop_loss] => 0.11127
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-12 02:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1083
            [entry_price] => 0.1101
            [stop_loss] => 0.11145
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-12 02:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0006
            [max_drawdown] => 0.0019
            [rr_ratio] => 0.32
            [high] => 0.11200000
            [low] => 0.10950000
            [mfe_pct] => 0.54
            [mae_pct] => 1.73
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-10-12T00:27:01-04:00
            [end_at] => 2025-10-12T02:27:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00070000000000001
            [max_drawdown] => 0.0024
            [rr_ratio] => 0.29
            [high] => 0.11250000
            [low] => 0.10940000
            [mfe_pct] => 0.64
            [mae_pct] => 2.18
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 84
            [start_at] => 2025-10-12T00:27:01-04:00
            [end_at] => 2025-10-12T07:27:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11070000
            [high_after] => 0.11250000
            [low_before] => 0.10560000
            [low_after] => 0.10940000
            [is_new_high] => 
            [is_new_low] => 
        )

)