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Short Trade on PYTH

Short Trade on PYTH

The 12 Dec 2025 at 16:32:12

With 28774.1819 PYTH at 0.0637$ per unit.

Position size of 1832.9154 $

Take profit at 0.06314 (0.88 %) and Stop Loss at 0.06398 (0.44 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.04
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.77
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low
BTC Correlation Score

5m : 0.51895

15m : 0.002834

1H : -0.175827

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0001853513458
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 0.0638423
  4. ema21 - 0.0643419
  5. ema50 - 0.0651832
  6. ema100 - 0.066288
  7. price_ema9_diff - -0.00222912
  8. ema9_ema21_diff - -0.00776527
  9. ema21_ema50_diff - -0.0129071
  10. price_ema100_diff - -0.0390421
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -0.0563665
  14. ema_slope_21 - -0.00657462
  15. ema_slope_50 - -0.0454426
  16. ema_slope_100 - -0.0533671
  17. rsi - 0.464607
  18. adx - 0.21837
  19. kc_percentage - 0.39424
  20. kc_width_percentage - 0.0912811
  21. volume_ema_diff - -0.287006
  22. volume_ema1 - 165201.93815625
  23. volume_ema2 - 231701.91636301
  24. chop - 35.6218
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0633156
  28. ema21 - 0.0634503
  29. ema50 - 0.0640335
  30. ema100 - 0.0643352
  31. price_ema9_diff - 0.00606975
  32. ema9_ema21_diff - -0.0021225
  33. ema21_ema50_diff - -0.00910826
  34. price_ema100_diff - -0.00987382
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0100163
  38. ema_slope_21 - -0.0717465
  39. ema_slope_50 - -0.0715626
  40. ema_slope_100 - -0.0427472
  41. rsi - 0.509861
  42. adx - 0.17233
  43. kc_percentage - 0.636277
  44. kc_width_percentage - 0.0317508
  45. volume_ema_diff - -0.930383
  46. volume_ema1 - 5739.6389799721
  47. volume_ema2 - 82446.780590747
  48. chop - 76.8261
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0634744
  52. ema21 - 0.0633
  53. ema50 - 0.0633437
  54. ema100 - 0.0639268
  55. price_ema9_diff - 0.00355265
  56. ema9_ema21_diff - 0.00275654
  57. ema21_ema50_diff - -0.000691255
  58. price_ema100_diff - -0.00354809
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.0423521
  62. ema_slope_21 - 0.0331275
  63. ema_slope_50 - 0.00248191
  64. ema_slope_100 - -0.0200597
  65. rsi - 0.623694
  66. adx - 0.227135
  67. kc_percentage - 1.08808
  68. kc_width_percentage - 0.0104216
  69. volume_ema_diff - -0.919959
  70. volume_ema1 - 1028.3994920746
  71. volume_ema2 - 12848.481547476
  72. chop - 54.4677
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90667.8
  77. 5m_price_ema100_diff: -0.00510714
  78. 5m_price: 90204.8
  79. 5m_correlation_with_coin: 0.51895
  80. btc_indicators
  81. 15m_ema100: 91362.6
  82. 15m_price_ema100_diff: -0.0126726
  83. 15m_price: 90204.8
  84. 15m_correlation_with_coin: 0.002834
  85. btc_indicators
  86. 1H_ema100: 91191.3
  87. 1H_price_ema100_diff: -0.0108181
  88. 1H_price: 90204.8
  89. 1H_correlation_with_coin: -0.175827
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
16:32:12		 12 Dec 2025
17:05:00		 32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0637 0.06398 0.06314 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 0.0637
  • Stop Loss: 0.06398
  • Take Profit: 0.06314

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06398 - 0.0637 = 0.00027999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0637 - 0.06314 = 0.00056

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00056 / 0.00027999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1832.9154 100 28774.1819 18.33
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 0.00027999999999999

Taille de position = 8 / 0.00027999999999999 = 28571.43

Taille de position USD = 28571.43 x 0.0637 = 1820

Donc, tu peux acheter 28571.43 avec un stoploss a 0.06398

Avec un position size USD de 1820$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 28571.43 x 0.00027999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 28571.43 x 0.00056 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 28571.43
  • Taille de position USD 1820
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.88 % 16.11 $
SL % Target SL $ Target
0.44 % 8.06 $
PNL PNL %
-8.06 $ -0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.471 % 107.14 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06314
            [entry_price] => 0.0637
            [stop_loss] => 0.064008
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06314
            [entry_price] => 0.0637
            [stop_loss] => 0.064036
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06314
            [entry_price] => 0.0637
            [stop_loss] => 0.064064
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06314
            [entry_price] => 0.0637
            [stop_loss] => 0.06412
            [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
            [max_drawdown] => 0.00069999999999999
            [rr_ratio] => 0
            [high] => 0.06440000
            [low] => 0.06370000
            [mfe_pct] => 0
            [mae_pct] => 1.1
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-12-12T16:32:12-05:00
            [end_at] => 2025-12-12T18:32:12-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0001
            [max_drawdown] => 0.0014
            [rr_ratio] => 0.07
            [high] => 0.06510000
            [low] => 0.06360000
            [mfe_pct] => 0.16
            [mae_pct] => 2.2
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2025-12-12T16:32:12-05:00
            [end_at] => 2025-12-12T23:32:12-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06390000
            [high_after] => 0.06490000
            [low_before] => 0.06230000
            [low_after] => 0.06360000
            [is_new_high] => 
            [is_new_low] => 
        )

)