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Short Trade on PYTH

Short Trade on PYTH

The 12 Dec 2025 at 19:43:43

With 66155.6998 PYTH at 0.064$ per unit.

Position size of 4233.9648 $

Take profit at 0.06376 (0.38 %) and Stop Loss at 0.06412 (0.19 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.64
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.95
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.65
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 : 0.576074

15m : 0.009321

1H : 0.100081

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 8.061789606E-5
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.0638687
  4. ema21 - 0.0642315
  5. ema50 - 0.0650572
  6. ema100 - 0.0662943
  7. price_ema9_diff - 0.00205571
  8. ema9_ema21_diff - -0.00564831
  9. ema21_ema50_diff - -0.0126922
  10. price_ema100_diff - -0.034608
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.225105
  14. ema_slope_21 - -0.105956
  15. ema_slope_50 - -0.0871097
  16. ema_slope_100 - -0.0779906
  17. rsi - 0.480213
  18. adx - 0.176187
  19. kc_percentage - 0.456499
  20. kc_width_percentage - 0.0742493
  21. volume_ema_diff - -0.696288
  22. volume_ema1 - 62979.598721605
  23. volume_ema2 - 207366.50399221
  24. chop - 37.4713
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.063796
  28. ema21 - 0.0637377
  29. ema50 - 0.0639828
  30. ema100 - 0.0642672
  31. price_ema9_diff - 0.00319636
  32. ema9_ema21_diff - 0.000915033
  33. ema21_ema50_diff - -0.00383046
  34. price_ema100_diff - -0.00415876
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0579263
  38. ema_slope_21 - 0.0353503
  39. ema_slope_50 - -0.00792452
  40. ema_slope_100 - -0.0131819
  41. rsi - 0.505007
  42. adx - 0.169397
  43. kc_percentage - 0.73026
  44. kc_width_percentage - 0.0179093
  45. volume_ema_diff - -0.949012
  46. volume_ema1 - 2695.31766103
  47. volume_ema2 - 52861.807968067
  48. chop - 77.7275
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.0638651
  52. ema21 - 0.0638342
  53. ema50 - 0.0636811
  54. ema100 - 0.0633547
  55. price_ema9_diff - 0.0021113
  56. ema9_ema21_diff - 0.000484972
  57. ema21_ema50_diff - 0.0024027
  58. price_ema100_diff - 0.0101844
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.012161
  62. ema_slope_21 - 0.00372624
  63. ema_slope_50 - 0.0124113
  64. ema_slope_100 - 0.0169913
  65. rsi - 0.615833
  66. adx - 0.144631
  67. kc_percentage - 1.07246
  68. kc_width_percentage - 0.00445922
  69. volume_ema_diff - -0.851256
  70. volume_ema1 - 1457.0057904009
  71. volume_ema2 - 9795.4177494283
  72. chop - 44.1149
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90262.3
  77. 5m_price_ema100_diff: 0.000389965
  78. 5m_price: 90297.5
  79. 5m_correlation_with_coin: 0.576074
  80. btc_indicators
  81. 15m_ema100: 91210.2
  82. 15m_price_ema100_diff: -0.0101109
  83. 15m_price: 90288
  84. 15m_correlation_with_coin: 0.009321
  85. btc_indicators
  86. 1H_ema100: 91321
  87. 1H_price_ema100_diff: -0.0112087
  88. 1H_price: 90297.5
  89. 1H_correlation_with_coin: 0.100081
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
19:43:43		 12 Dec 2025
19:55:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.064 0.06412 0.06376 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 0.064
  • Stop Loss: 0.06412
  • Take Profit: 0.06376

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06412 - 0.064 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.064 - 0.06376 = 0.00024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00024 / 0.00012 = 2

📌 Position Size

Amount Margin Quantity Leverage
4233.9648 100 66155.6998 42.34
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.064 = 4266.67

Donc, tu peux acheter 66666.67 avec un stoploss a 0.06412

Avec un position size USD de 4266.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 4266.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.38 % 15.88 $
SL % Target SL $ Target
0.19 % 7.94 $
PNL PNL %
-7.94 $ -0.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3125 % 166.67 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06376
            [entry_price] => 0.064
            [stop_loss] => 0.064132
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 19:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06376
            [entry_price] => 0.064
            [stop_loss] => 0.064144
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 19:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06376
            [entry_price] => 0.064
            [stop_loss] => 0.064156
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 19:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06376
            [entry_price] => 0.064
            [stop_loss] => 0.06418
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-12 19:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00020000000000001
            [max_drawdown] => 0.00029999999999999
            [rr_ratio] => 0.67
            [high] => 0.06430000
            [low] => 0.06380000
            [mfe_pct] => 0.31
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 0.67
            [candles_analyzed] => 24
            [start_at] => 2025-12-12T19:43:43-05:00
            [end_at] => 2025-12-12T21:43:43-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00020000000000001
            [max_drawdown] => 0.0011
            [rr_ratio] => 0.18
            [high] => 0.06510000
            [low] => 0.06380000
            [mfe_pct] => 0.31
            [mae_pct] => 1.72
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 84
            [start_at] => 2025-12-12T19:43:43-05:00
            [end_at] => 2025-12-13T02:43:43-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06440000
            [high_after] => 0.06510000
            [low_before] => 0.06300000
            [low_after] => 0.06380000
            [is_new_high] => 
            [is_new_low] => 
        )

)