Short Trade on PYTH

The 12 Dec 2025 at 19:56:45

With 75165.5295 PYTH at 0.0641$ per unit.

Position size of 4818.1104 $

Take profit at 0.06389 (0.33 %) and Stop Loss at 0.06421 (0.17 %)

That's a 1.91 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
0.95
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.53
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 : bull_low

BTC Correlation Score

5m : 0.534728

15m : -0.036015

1H : 0.135209

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.33
  4. atr: 7.095451027E-5
Details
  1. score: 1.33
  2. 1H
  3. ema9 - 0.0638887
  4. ema21 - 0.0642405
  5. ema50 - 0.0650611
  6. ema100 - 0.0662962
  7. price_ema9_diff - 0.00330725
  8. ema9_ema21_diff - -0.00547769
  9. ema21_ema50_diff - -0.012612
  10. price_ema100_diff - -0.0331285
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.222566
  14. ema_slope_21 - -0.104792
  15. ema_slope_50 - -0.0866127
  16. ema_slope_100 - -0.077744
  17. rsi - 0.485142
  18. adx - 0.176215
  19. kc_percentage - 0.475743
  20. kc_width_percentage - 0.0747574
  21. volume_ema_diff - -0.690909
  22. volume_ema1 - 64137.137888272
  23. volume_ema2 - 207502.68507064
  24. chop - 37.4857
  25. regime - bear_high
  26. ¸
  27. 15m
  28. ema9 - 0.0638688
  29. ema21 - 0.0637781
  30. ema50 - 0.063991
  31. ema100 - 0.0642658
  32. price_ema9_diff - 0.00361885
  33. ema9_ema21_diff - 0.00142269
  34. ema21_ema50_diff - -0.00332739
  35. price_ema100_diff - -0.00258086
  36. all_emas_in_trend - False
  37. all_emas_and_price_in_trend - False
  38. ema_slope_9 - 0.0557332
  39. ema_slope_21 - 0.0366767
  40. ema_slope_50 - -0.00561352
  41. ema_slope_100 - -0.0119077
  42. rsi - 0.533507
  43. adx - 0.170374
  44. kc_percentage - 0.791374
  45. kc_width_percentage - 0.0172165
  46. volume_ema_diff - -0.947535
  47. volume_ema1 - 2711.3870184644
  48. volume_ema2 - 51680.289781503
  49. chop - 76.3826
  50. regime - range_medium
  51. ¸
  52. 5m
  53. ema9 - 0.0639669
  54. ema21 - 0.0638927
  55. ema50 - 0.0637167
  56. ema100 - 0.063332
  57. price_ema9_diff - 0.00207978
  58. ema9_ema21_diff - 0.00116133
  59. ema21_ema50_diff - 0.00276318
  60. price_ema100_diff - 0.0121257
  61. all_emas_in_trend - True
  62. all_emas_and_price_in_trend - True
  63. ema_slope_9 - 0.0317578
  64. ema_slope_21 - 0.0158076
  65. ema_slope_50 - 0.0176027
  66. ema_slope_100 - 0.021387
  67. rsi - 0.661728
  68. adx - 0.170346
  69. kc_percentage - 1.33147
  70. kc_width_percentage - 0.00380653
  71. volume_ema_diff - -0.496955
  72. volume_ema1 - 1231.865719378
  73. volume_ema2 - 2448.8220809636
  74. chop - 33.1737
  75. regime - bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100: 90164.7
  80. 5m_price_ema100_diff: 0.00170471
  81. 5m_price: 90318.5
  82. 5m_correlation_with_coin: 0.534728
  83. btc_indicators
  84. 15m_ema100: 91179.5
  85. 15m_price_ema100_diff: -0.00951659
  86. 15m_price: 90311.8
  87. 15m_correlation_with_coin: -0.036015
  88. btc_indicators
  89. 1H_ema100: 91321.5
  90. 1H_price_ema100_diff: -0.0109832
  91. 1H_price: 90318.5
  92. 1H_correlation_with_coin: 0.135209
  93. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
19:56:45
12 Dec 2025
20:25:00
28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0641 0.06421 0.06389 1.91 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: 0.06389

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 - 0.06389 = 0.00021

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00021 / 0.00011 = 1.9091

📌 Position Size

Amount Margin Quantity Leverage
4818.1104 100 75165.5295 48.18
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 0.00021 = 15.27

Si Take Profit atteint, tu gagneras 15.27$

Résumé

  • Taille de position 72727.27
  • Taille de position USD 4661.82
  • Perte potentielle 8
  • Gain potentiel 15.27
  • Risk-Reward Ratio 1.9091

📌 Peformances

TP % Target TP $ Target
0.33 % 15.78 $
SL % Target SL $ Target
0.17 % 8.27 $
PNL PNL %
-8.27 $ -0.17
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.312 % 181.82 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06389
            [entry_price] => 0.0641
            [stop_loss] => 0.064221
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06389
            [entry_price] => 0.0641
            [stop_loss] => 0.064232
            [rr_ratio] => 1.59
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06389
            [entry_price] => 0.0641
            [stop_loss] => 0.064243
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 20:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06389
            [entry_price] => 0.0641
            [stop_loss] => 0.064265
            [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] => 0.00019999999999999
            [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] => 2025-12-12T19:56:45-05:00
            [end_at] => 2025-12-12T21:56:45-05:00
        )

    [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] => 2025-12-12T19:56:45-05:00
            [end_at] => 2025-12-13T02:56:45-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06440000
            [high_after] => 0.06510000
            [low_before] => 0.06310000
            [low_after] => 0.06380000
            [is_new_high] => 
            [is_new_low] => 
        )

)