Short Trade on PYTH 31 Aug 2025 at 14:11:46

Take profit at 0.1833 (0.87 %) and Stop Loss at 0.1859 (0.54 %)

Short Trade on PYTH

The 31 Aug 2025 at 14:11:46

With 7661.5836 PYTH at 0.1849$ per unit.

Position size of 1416.6268 $

Take profit at 0.1833 (0.87 %) and Stop Loss at 0.1859 (0.54 %)

That's a 1.6 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 4.22
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.69
Prediction 3 Probability
1 0.51
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.351801

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0006961137021
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.184101
  4. ema21 : 0.186807
  5. ema50 : 0.189077
  6. ema100 : 0.17932
  7. price_ema9_diff : 0.00433923
  8. ema9_ema21_diff : -0.0144869
  9. ema21_ema50_diff : -0.0120046
  10. price_ema100_diff : 0.0311159
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.435154
  14. adx : 0.0697582
  15. kc_percentage : 0.372014
  16. kc_width_percentage : 0.0706292
  17. volume_ema_diff : -0.836962
  18. volume_ema1 : 1224654.3880261
  19. volume_ema2 : 7511478.648375
  20. ¸
  21. 15m
  22. ema9 : 0.183488
  23. ema21 : 0.183343
  24. ema50 : 0.184712
  25. ema100 : 0.186502
  26. price_ema9_diff : 0.00769294
  27. ema9_ema21_diff : 0.000792561
  28. ema21_ema50_diff : -0.00741208
  29. price_ema100_diff : -0.00859071
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.591871
  33. adx : 0.16051
  34. kc_percentage : 0.798663
  35. kc_width_percentage : 0.0285982
  36. volume_ema_diff : -0.419219
  37. volume_ema1 : 339333.87106359
  38. volume_ema2 : 584272.43046831
  39. ¸
  40. 5m
  41. ema9 : 0.183922
  42. ema21 : 0.183464
  43. ema50 : 0.183142
  44. ema100 : 0.183393
  45. price_ema9_diff : 0.00531389
  46. ema9_ema21_diff : 0.00249833
  47. ema21_ema50_diff : 0.00175588
  48. price_ema100_diff : 0.00821195
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.647879
  52. adx : 0.185186
  53. kc_percentage : 1.01102
  54. kc_width_percentage : 0.014913
  55. volume_ema_diff : 0.0333667
  56. volume_ema1 : 131895.65227113
  57. volume_ema2 : 127636.82630621
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108591
  62. 5m_price_ema100_diff:
    0.00307274
  63. 5m_price:
    108925
  64. 5m_correlation_with_coin:
    0.351801
  65. btc_indicators
  66. 15m_ema100:
    108685
  67. 15m_price_ema100_diff:
    0.00220486
  68. 15m_price:
    108925
  69. btc_indicators
  70. 1H_ema100:
    109693
  71. 1H_price_ema100_diff:
    -0.0070034
  72. 1H_price:
    108925
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
31 Aug 2025
14:11:46
31 Aug 2025
14:30:00
18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1849 0.1859 0.1833 1.6 0.0525
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 0.1849
  • Stop Loss: 0.1859
  • Take Profit: 0.1833

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1859 - 0.1849 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1849 - 0.1833 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.001 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
1416.6268 100 7661.5836 14.17
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1849 = 1479.2

Donc, tu peux acheter 8000 avec un stoploss a 0.1859

Avec un position size USD de 1479.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0016 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position 8000
  • Taille de position USD 1479.2
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.87 % 12.26 $
SL % Target SL $ Target
0.54 % 7.66 $
PNL PNL %
-7.66 $ -0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5408 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1833
            [entry_price] => 0.1849
            [stop_loss] => 0.186
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-08-31 14:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1833
            [entry_price] => 0.1849
            [stop_loss] => 0.1861
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-08-31 14:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1833
            [entry_price] => 0.1849
            [stop_loss] => 0.1862
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-08-31 14:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1833
            [entry_price] => 0.1849
            [stop_loss] => 0.1864
            [rr_ratio] => 1.07
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-08-31 15:25:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0016
            [max_drawdown] => 0.0013
            [rr_ratio] => 1.23
            [high] => 0.18620000
            [low] => 0.18330000
            [mfe_pct] => 0.87
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 1.23
            [candles_analyzed] => 24
            [start_at] => 2025-08-31T14:11:46-04:00
            [end_at] => 2025-08-31T16:11:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0072
            [max_drawdown] => 0.0035
            [rr_ratio] => 2.06
            [high] => 0.18840000
            [low] => 0.17770000
            [mfe_pct] => 3.89
            [mae_pct] => 1.89
            [mfe_mae_ratio] => 2.06
            [candles_analyzed] => 84
            [start_at] => 2025-08-31T14:11:46-04:00
            [end_at] => 2025-08-31T21:11:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.18530000
            [high_after] => 0.18840000
            [low_before] => 0.18090000
            [low_after] => 0.18050000
            [is_new_high] => 
            [is_new_low] => 1
        )

)