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Short Trade on PYTH

Short Trade on PYTH

The 12 Dec 2025 at 20:09:48

With 71587.9972 PYTH at 0.0641$ per unit.

Position size of 4588.7906 $

Take profit at 0.06388 (0.34 %) and Stop Loss at 0.06421 (0.17 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.38
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.7
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 : 0.561799

15m : 0.05146

1H : -0.127892

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 7.45003847E-5
Details
  1. score: 1.05
  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 - -0.78533
  22. volume_ema1 - 42765.288258848
  23. volume_ema2 - 199214.46141524
  24. chop - 37.64
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.063947
  28. ema21 - 0.0638239
  29. ema50 - 0.064001
  30. ema100 - 0.0642529
  31. price_ema9_diff - 0.00239113
  32. ema9_ema21_diff - 0.00193
  33. ema21_ema50_diff - -0.00276742
  34. price_ema100_diff - -0.00238007
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.040786
  38. ema_slope_21 - 0.0318933
  39. ema_slope_50 - -0.00579594
  40. ema_slope_100 - -0.011466
  41. rsi - 0.543663
  42. adx - 0.17799
  43. kc_percentage - 0.747642
  44. kc_width_percentage - 0.0172422
  45. volume_ema_diff - -0.947643
  46. volume_ema1 - 2586.4804567541
  47. volume_ema2 - 49401.439068918
  48. chop - 79.5161
  49. regime - range_medium
    50. ¸
  50. 5m
  51. ema9 - 0.0640436
  52. ema21 - 0.0639445
  53. ema50 - 0.0637555
  54. ema100 - 0.06338
  55. price_ema9_diff - 0.000879775
  56. ema9_ema21_diff - 0.00155042
  57. ema21_ema50_diff - 0.00296411
  58. price_ema100_diff - 0.0113588
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0334735
  62. ema_slope_21 - 0.0196524
  63. ema_slope_50 - 0.0190653
  64. ema_slope_100 - 0.0215706
  65. rsi - 0.618702
  66. adx - 0.191848
  67. kc_percentage - 1.05419
  68. kc_width_percentage - 0.00421287
  69. volume_ema_diff - -0.737251
  70. volume_ema1 - 554.07398639024
  71. volume_ema2 - 2108.7606791855
  72. chop - 31.8445
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90213.3
  77. 5m_price_ema100_diff: 0.00106603
  78. 5m_price: 90309.5
  79. 5m_correlation_with_coin: 0.561799
  80. btc_indicators
  81. 15m_ema100: 91158
  82. 15m_price_ema100_diff: -0.00930905
  83. 15m_price: 90309.5
  84. 15m_correlation_with_coin: 0.05146
  85. btc_indicators
  86. 1H_ema100: 91235.7
  87. 1H_price_ema100_diff: -0.0101523
  88. 1H_price: 90309.5
  89. 1H_correlation_with_coin: -0.127892
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
20:09:48		 12 Dec 2025
20:25:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0641 0.06421 0.06388 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 0.0641
  • Stop Loss: 0.06421
  • Take Profit: 0.06388

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06421 - 0.0641 = 0.00011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0641 - 0.06388 = 0.00022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00022 / 0.00011 = 2

📌 Position Size

Amount Margin Quantity Leverage
4588.7906 100 71587.9972 45.89
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 0.0641 = 4661.82

Donc, tu peux acheter 72727.27 avec un stoploss a 0.06421

Avec un position size USD de 4661.82$

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 4661.82
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.34 % 15.75 $
SL % Target SL $ Target
0.17 % 7.87 $
PNL PNL %
-7.87 $ -0.17
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.312 % 181.82 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06388
            [entry_price] => 0.0641
            [stop_loss] => 0.064221
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06388
            [entry_price] => 0.0641
            [stop_loss] => 0.064232
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06388
            [entry_price] => 0.0641
            [stop_loss] => 0.064243
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06388
            [entry_price] => 0.0641
            [stop_loss] => 0.064265
            [rr_ratio] => 1.33
            [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] => 0.00019999999999999
            [rr_ratio] => 1.5
            [high] => 0.06430000
            [low] => 0.06380000
            [mfe_pct] => 0.47
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 1.5
            [candles_analyzed] => 24
            [start_at] => 2025-12-12T20:09:48-05:00
            [end_at] => 2025-12-12T22:09:48-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00030000000000001
            [max_drawdown] => 0.001
            [rr_ratio] => 0.3
            [high] => 0.06510000
            [low] => 0.06380000
            [mfe_pct] => 0.47
            [mae_pct] => 1.56
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 84
            [start_at] => 2025-12-12T20:09:48-05:00
            [end_at] => 2025-12-13T03:09:48-05:00
        )

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

)