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Short Trade on PYTH

Short Trade on PYTH

The 12 Dec 2025 at 19:47:37

With 71411.5469 PYTH at 0.064$ per unit.

Position size of 4570.339 $

Take profit at 0.06378 (0.34 %) and Stop Loss at 0.06411 (0.17 %)

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
0.9
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.55
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 : 0.498359

15m : -0.003438

1H : 0.022567

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 7.468446719E-5
Details
  1. score: 1.08
  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 - 0.0638688
  28. ema21 - 0.0637781
  29. ema50 - 0.063991
  30. ema100 - 0.0642658
  31. price_ema9_diff - 0.00205314
  32. ema9_ema21_diff - 0.00142269
  33. ema21_ema50_diff - -0.00332739
  34. price_ema100_diff - -0.0041369
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0557332
  38. ema_slope_21 - 0.0366767
  39. ema_slope_50 - -0.00561352
  40. ema_slope_100 - -0.0119077
  41. rsi - 0.533507
  42. adx - 0.170374
  43. kc_percentage - 0.70076
  44. kc_width_percentage - 0.0172434
  45. volume_ema_diff - -0.947535
  46. volume_ema1 - 2711.3870184644
  47. volume_ema2 - 51680.289781503
  48. chop - 76.3826
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.0638921
  52. ema21 - 0.0638492
  53. ema50 - 0.0636808
  54. ema100 - 0.0632728
  55. price_ema9_diff - 0.00168833
  56. ema9_ema21_diff - 0.000671958
  57. ema21_ema50_diff - 0.0026435
  58. price_ema100_diff - 0.0114928
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0201936
  62. ema_slope_21 - 0.00815335
  63. ema_slope_50 - 0.0150199
  64. ema_slope_100 - 0.0211234
  65. rsi - 0.616185
  66. adx - 0.148937
  67. kc_percentage - 1.07571
  68. kc_width_percentage - 0.00401265
  69. volume_ema_diff - -0.630145
  70. volume_ema1 - 971.33719360057
  71. volume_ema2 - 2626.266304421
  72. chop - 43.1752
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90199.2
  77. 5m_price_ema100_diff: 0.000995083
  78. 5m_price: 90289
  79. 5m_correlation_with_coin: 0.498359
  80. btc_indicators
  81. 15m_ema100: 91179
  82. 15m_price_ema100_diff: -0.00976175
  83. 15m_price: 90289
  84. 15m_correlation_with_coin: -0.003438
  85. btc_indicators
  86. 1H_ema100: 91320.9
  87. 1H_price_ema100_diff: -0.0112999
  88. 1H_price: 90289
  89. 1H_correlation_with_coin: 0.022567
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
19:47:37		 12 Dec 2025
19:55:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.064 0.06411 0.06378 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: 0.06411
  • Take Profit: 0.06378

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06411 - 0.064 = 0.00011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.064 - 0.06378 = 0.00022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00022 / 0.00011 = 2

📌 Position Size

Amount Margin Quantity Leverage
4570.339 100 71411.5469 45.70
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 0.00011

Taille de position = 8 / 0.00011 = 72727.27

Taille de position USD = 72727.27 x 0.064 = 4654.55

Donc, tu peux acheter 72727.27 avec un stoploss a 0.06411

Avec un position size USD de 4654.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 72727.27 x 0.00011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 72727.27 x 0.00022 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 72727.27
  • Taille de position USD 4654.55
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.34 % 15.71 $
SL % Target SL $ Target
0.17 % 7.86 $
PNL PNL %
-7.86 $ -0.17
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3125 % 181.79 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06378
            [entry_price] => 0.064
            [stop_loss] => 0.064121
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 19:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06378
            [entry_price] => 0.064
            [stop_loss] => 0.064132
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 19:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06378
            [entry_price] => 0.064
            [stop_loss] => 0.064143
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 19:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06378
            [entry_price] => 0.064
            [stop_loss] => 0.064165
            [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] => 2025-12-12T19:47:37-05:00
            [end_at] => 2025-12-12T21:47:37-05:00
        )

    [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] => 2025-12-12T19:47:37-05:00
            [end_at] => 2025-12-13T02:47:37-05:00
        )

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

)