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Short Trade on PYTH

Short Trade on PYTH

The 12 Dec 2025 at 17:08:08

With 33700.5537 PYTH at 0.0639$ per unit.

Position size of 2153.4654 $

Take profit at 0.06343 (0.74 %) and Stop Loss at 0.06414 (0.38 %)

That's a 1.96 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.63
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_low
BTC Correlation Score

5m : 0.530897

15m : -0.087858

1H : 0.068807

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0001582565493
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 0.0638698
  4. ema21 - 0.06431
  5. ema50 - 0.0651458
  6. ema100 - 0.0663103
  7. price_ema9_diff - 0.000472056
  8. ema9_ema21_diff - -0.00684526
  9. ema21_ema50_diff - -0.0128297
  10. price_ema100_diff - -0.0363494
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.122363
  14. ema_slope_21 - -0.0412368
  15. ema_slope_50 - -0.0592905
  16. ema_slope_100 - -0.061943
  17. rsi - 0.473531
  18. adx - 0.205218
  19. kc_percentage - 0.429205
  20. kc_width_percentage - 0.0849002
  21. volume_ema_diff - -0.48569
  22. volume_ema1 - 114274.87254861
  23. volume_ema2 - 222190.70545591
  24. chop - 36.5666
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0635356
  28. ema21 - 0.0635352
  29. ema50 - 0.0640484
  30. ema100 - 0.064481
  31. price_ema9_diff - 0.00573471
  32. ema9_ema21_diff - 6.24144E-6
  33. ema21_ema50_diff - -0.00801207
  34. price_ema100_diff - -0.00901169
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0573478
  38. ema_slope_21 - -0.0355172
  39. ema_slope_50 - -0.0574143
  40. ema_slope_100 - -0.0413008
  41. rsi - 0.528451
  42. adx - 0.181715
  43. kc_percentage - 0.701745
  44. kc_width_percentage - 0.0296564
  45. volume_ema_diff - -0.918192
  46. volume_ema1 - 6335.1051540617
  47. volume_ema2 - 77439.504234716
  48. chop - 71.5416
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0637824
  52. ema21 - 0.0635726
  53. ema50 - 0.0634597
  54. ema100 - 0.0638413
  55. price_ema9_diff - 0.00184246
  56. ema9_ema21_diff - 0.00330143
  57. ema21_ema50_diff - 0.00177862
  58. price_ema100_diff - 0.000918773
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0720111
  62. ema_slope_21 - 0.0588997
  63. ema_slope_50 - 0.0242769
  64. ema_slope_100 - -0.00322044
  65. rsi - 0.648152
  66. adx - 0.275564
  67. kc_percentage - 1.05092
  68. kc_width_percentage - 0.0088941
  69. volume_ema_diff - -0.773797
  70. volume_ema1 - 2164.1699137108
  71. volume_ema2 - 9567.4114714724
  72. chop - 38.9488
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90579.6
  77. 5m_price_ema100_diff: -0.00440081
  78. 5m_price: 90181
  79. 5m_correlation_with_coin: 0.530897
  80. btc_indicators
  81. 15m_ema100: 91520.3
  82. 15m_price_ema100_diff: -0.0146341
  83. 15m_price: 90181
  84. 15m_correlation_with_coin: -0.087858
  85. btc_indicators
  86. 1H_ema100: 91196.5
  87. 1H_price_ema100_diff: -0.011136
  88. 1H_price: 90181
  89. 1H_correlation_with_coin: 0.068807
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
17:08:08		 12 Dec 2025
17:10:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0639 0.06414 0.06343 1.96 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: 0.06343

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 - 0.06343 = 0.00047

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00047 / 0.00024 = 1.9583

📌 Position Size

Amount Margin Quantity Leverage
2153.4654 100 33700.5537 21.53
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 0.00047 = 15.67

Si Take Profit atteint, tu gagneras 15.67$

Résumé

  • Taille de position 33333.33
  • Taille de position USD 2130
  • Perte potentielle 8
  • Gain potentiel 15.67
  • Risk-Reward Ratio 1.9583

📌 Peformances

TP % Target TP $ Target
0.74 % 15.84 $
SL % Target SL $ Target
0.38 % 8.09 $
PNL PNL %
-8.09 $ -0.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7825 % 208.33 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06343
            [entry_price] => 0.0639
            [stop_loss] => 0.064164
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06343
            [entry_price] => 0.0639
            [stop_loss] => 0.064188
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06343
            [entry_price] => 0.0639
            [stop_loss] => 0.064212
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 17:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06343
            [entry_price] => 0.0639
            [stop_loss] => 0.06426
            [rr_ratio] => 1.31
            [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] => 2025-12-12T17:08:08-05:00
            [end_at] => 2025-12-12T19:08:08-05:00
        )

    [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] => 2025-12-12T17:08:08-05:00
            [end_at] => 2025-12-13T00:08:08-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06400000
            [high_after] => 0.06510000
            [low_before] => 0.06250000
            [low_after] => 0.06360000
            [is_new_high] => 
            [is_new_low] => 
        )

)