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Short Trade on PYTH

Short Trade on PYTH

The 12 Dec 2025 at 16:48:50

With 33075.0697 PYTH at 0.0639$ per unit.

Position size of 2113.497 $

Take profit at 0.06342 (0.75 %) and Stop Loss at 0.06414 (0.38 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.63
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_low
BTC Correlation Score

5m : 0.524669

15m : -0.08331

1H : -0.160739

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.31
  4. atr: 0.0001612493454
Details
  1. score: 1.31
  2. 1H
  3. ema9 - 0.0638823
  4. ema21 - 0.0643601
  5. ema50 - 0.0651911
  6. ema100 - 0.0662919
  7. price_ema9_diff - 0.000276879
  8. ema9_ema21_diff - -0.00742407
  9. ema21_ema50_diff - -0.012747
  10. price_ema100_diff - -0.0360825
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.0511807
  14. ema_slope_21 - -0.00422164
  15. ema_slope_50 - -0.0444453
  16. ema_slope_100 - -0.0528724
  17. rsi - 0.47322
  18. adx - 0.216444
  19. kc_percentage - 0.426374
  20. kc_width_percentage - 0.0922474
  21. volume_ema_diff - -0.280649
  22. volume_ema1 - 166811.02182292
  23. volume_ema2 - 231891.22032379
  24. chop - 35.652
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0634645
  28. ema21 - 0.0635078
  29. ema50 - 0.064045
  30. ema100 - 0.0643981
  31. price_ema9_diff - 0.00686129
  32. ema9_ema21_diff - -0.00068106
  33. ema21_ema50_diff - -0.00838852
  34. price_ema100_diff - -0.00773564
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0280373
  38. ema_slope_21 - -0.0560357
  39. ema_slope_50 - -0.0655121
  40. ema_slope_100 - -0.0421962
  41. rsi - 0.528933
  42. adx - 0.177581
  43. kc_percentage - 0.718292
  44. kc_width_percentage - 0.0296131
  45. volume_ema_diff - -0.93842
  46. volume_ema1 - 4901.3707310925
  47. volume_ema2 - 79594.28622704
  48. chop - 75.4662
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0636693
  52. ema21 - 0.0634416
  53. ema50 - 0.0633993
  54. ema100 - 0.063896
  55. price_ema9_diff - 0.00362273
  56. ema9_ema21_diff - 0.00358839
  57. ema21_ema50_diff - 0.000667846
  58. price_ema100_diff - 6.21944E-5
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0780418
  62. ema_slope_21 - 0.0534931
  63. ema_slope_50 - 0.0154321
  64. ema_slope_100 - -0.0113762
  65. rsi - 0.663143
  66. adx - 0.270108
  67. kc_percentage - 1.30576
  68. kc_width_percentage - 0.00864422
  69. volume_ema_diff - -0.955373
  70. volume_ema1 - 1053.009156911
  71. volume_ema2 - 23596.265552879
  72. chop - 42.159
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90616.3
  77. 5m_price_ema100_diff: -0.00395585
  78. 5m_price: 90257.9
  79. 5m_correlation_with_coin: 0.524669
  80. btc_indicators
  81. 15m_ema100: 91433.7
  82. 15m_price_ema100_diff: -0.0128596
  83. 15m_price: 90257.9
  84. 15m_correlation_with_coin: -0.08331
  85. btc_indicators
  86. 1H_ema100: 91192.3
  87. 1H_price_ema100_diff: -0.0102472
  88. 1H_price: 90257.9
  89. 1H_correlation_with_coin: -0.160739
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
16:48:50		 12 Dec 2025
17:10:00		 21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0639 0.06414 0.06342 2 0.0585
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 0.0639
  • Stop Loss: 0.06414
  • Take Profit: 0.06342

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06414 - 0.0639 = 0.00024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0639 - 0.06342 = 0.00047999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00047999999999999 / 0.00024 = 2

📌 Position Size

Amount Margin Quantity Leverage
2113.497 100 33075.0697 21.13
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 0.00024

Taille de position = 8 / 0.00024 = 33333.33

Taille de position USD = 33333.33 x 0.0639 = 2130

Donc, tu peux acheter 33333.33 avec un stoploss a 0.06414

Avec un position size USD de 2130$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 33333.33 x 0.00024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 33333.33 x 0.00047999999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 33333.33
  • Taille de position USD 2130
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.75 % 15.88 $
SL % Target SL $ Target
0.38 % 7.94 $
PNL PNL %
-7.94 $ -0.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7825 % 208.33 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06342
            [entry_price] => 0.0639
            [stop_loss] => 0.064164
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06342
            [entry_price] => 0.0639
            [stop_loss] => 0.064188
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06342
            [entry_price] => 0.0639
            [stop_loss] => 0.064212
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06342
            [entry_price] => 0.0639
            [stop_loss] => 0.06426
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00029999999999999
            [max_drawdown] => 0.0005
            [rr_ratio] => 0.6
            [high] => 0.06440000
            [low] => 0.06360000
            [mfe_pct] => 0.47
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 0.6
            [candles_analyzed] => 24
            [start_at] => 2025-12-12T16:48:50-05:00
            [end_at] => 2025-12-12T18:48:50-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00029999999999999
            [max_drawdown] => 0.0012
            [rr_ratio] => 0.25
            [high] => 0.06510000
            [low] => 0.06360000
            [mfe_pct] => 0.47
            [mae_pct] => 1.88
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2025-12-12T16:48:50-05:00
            [end_at] => 2025-12-12T23:48:50-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06390000
            [high_after] => 0.06510000
            [low_before] => 0.06240000
            [low_after] => 0.06360000
            [is_new_high] => 
            [is_new_low] => 
        )

)