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Short Trade on PYTH

Short Trade on PYTH

The 12 Dec 2025 at 20:19:12

With 83065.3429 PYTH at 0.0641$ per unit.

Position size of 5324.4885 $

Take profit at 0.06391 (0.3 %) and Stop Loss at 0.0642 (0.16 %)

That's a 1.9 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.75
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.560341

15m : -0.005438

1H : 0.050865

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 6.42064807E-5
Details
  1. score: 1.06
  2. 1H
  3. ema9 - 0.0639469
  4. ema21 - 0.064236
  5. ema50 - 0.065018
  6. ema100 - 0.066187
  7. price_ema9_diff - 0.00239318
  8. ema9_ema21_diff - -0.00450025
  9. ema21_ema50_diff - -0.0120278
  10. price_ema100_diff - -0.0315331
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.22155
  14. ema_slope_21 - -0.115022
  15. ema_slope_50 - -0.090983
  16. ema_slope_100 - -0.07824
  17. rsi - 0.485087
  18. adx - 0.165822
  19. kc_percentage - 0.474079
  20. kc_width_percentage - 0.0684674
  21. volume_ema_diff - -0.784848
  22. volume_ema1 - 42863.703125515
  23. volume_ema2 - 199226.03963485
  24. chop - 37.64
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0639776
  28. ema21 - 0.0638489
  29. ema50 - 0.0640012
  30. ema100 - 0.0642228
  31. price_ema9_diff - 0.00191198
  32. ema9_ema21_diff - 0.00201534
  33. ema21_ema50_diff - -0.00237892
  34. price_ema100_diff - -0.0019126
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0325812
  38. ema_slope_21 - 0.0289765
  39. ema_slope_50 - -0.00527542
  40. ema_slope_100 - -0.0102944
  41. rsi - 0.543686
  42. adx - 0.180999
  43. kc_percentage - 0.748961
  44. kc_width_percentage - 0.015518
  45. volume_ema_diff - -0.9613
  46. volume_ema1 - 1822.7351711694
  47. volume_ema2 - 47099.206387317
  48. chop - 78.0687
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.0640639
  52. ema21 - 0.0639715
  53. ema50 - 0.063791
  54. ema100 - 0.0634754
  55. price_ema9_diff - 0.000562878
  56. ema9_ema21_diff - 0.00144447
  57. ema21_ema50_diff - 0.00282959
  58. price_ema100_diff - 0.00983953
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0308097
  62. ema_slope_21 - 0.0207601
  63. ema_slope_50 - 0.0188758
  64. ema_slope_100 - 0.019324
  65. rsi - 0.618539
  66. adx - 0.194751
  67. kc_percentage - 1.05998
  68. kc_width_percentage - 0.00341234
  69. volume_ema_diff - -0.828253
  70. volume_ema1 - 344.66997172899
  71. volume_ema2 - 2006.8552832842
  72. chop - 38.1497
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90232.4
  77. 5m_price_ema100_diff: 0.000606094
  78. 5m_price: 90287.1
  79. 5m_correlation_with_coin: 0.560341
  80. btc_indicators
  81. 15m_ema100: 91129.8
  82. 15m_price_ema100_diff: -0.00924777
  83. 15m_price: 90287.1
  84. 15m_correlation_with_coin: -0.005438
  85. btc_indicators
  86. 1H_ema100: 91235.3
  87. 1H_price_ema100_diff: -0.010393
  88. 1H_price: 90287.1
  89. 1H_correlation_with_coin: 0.050865
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
20:19:12		 12 Dec 2025
20:20:00		 48 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0641 0.0642 0.06391 1.9 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 0.0641
  • Stop Loss: 0.0642
  • Take Profit: 0.06391

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0642 - 0.0641 = 9.9999999999989E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0641 - 0.06391 = 0.00019000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00019000000000001 / 9.9999999999989E-5 = 1.9

📌 Position Size

Amount Margin Quantity Leverage
5324.4885 100 83065.3429 53.24
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 9.9999999999989E-5

Taille de position = 8 / 9.9999999999989E-5 = 80000

Taille de position USD = 80000 x 0.0641 = 5128

Donc, tu peux acheter 80000 avec un stoploss a 0.0642

Avec un position size USD de 5128$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999989E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00019000000000001 = 15.2

Si Take Profit atteint, tu gagneras 15.2$

Résumé

  • Taille de position 80000
  • Taille de position USD 5128
  • Perte potentielle 8
  • Gain potentiel 15.2
  • Risk-Reward Ratio 1.9

📌 Peformances

TP % Target TP $ Target
0.3 % 15.78 $
SL % Target SL $ Target
0.16 % 8.31 $
PNL PNL %
-8.31 $ -0.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.156 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06391
            [entry_price] => 0.0641
            [stop_loss] => 0.06421
            [rr_ratio] => 1.73
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06391
            [entry_price] => 0.0641
            [stop_loss] => 0.06422
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06391
            [entry_price] => 0.0641
            [stop_loss] => 0.06423
            [rr_ratio] => 1.46
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06391
            [entry_price] => 0.0641
            [stop_loss] => 0.06425
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00030000000000001
            [max_drawdown] => 0.0004
            [rr_ratio] => 0.75
            [high] => 0.06450000
            [low] => 0.06380000
            [mfe_pct] => 0.47
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 24
            [start_at] => 2025-12-12T20:19:12-05:00
            [end_at] => 2025-12-12T22:19:12-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00030000000000001
            [max_drawdown] => 0.0012
            [rr_ratio] => 0.25
            [high] => 0.06530000
            [low] => 0.06380000
            [mfe_pct] => 0.47
            [mae_pct] => 1.87
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2025-12-12T20:19:12-05:00
            [end_at] => 2025-12-13T03:19:12-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06440000
            [high_after] => 0.06510000
            [low_before] => 0.06350000
            [low_after] => 0.06380000
            [is_new_high] => 
            [is_new_low] => 
        )

)