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Short Trade on PYTH

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Short Trade on PYTH 31 Aug 2025 at 17:04:16

Take profit at 0.1846 (0.65 %) and Stop Loss at 0.1866 (0.43 %)

Short Trade on PYTH

The 31 Aug 2025 at 17:04:16

With 9706.8037 PYTH at 0.1858$ per unit.

Position size of 1803.5241 $

Take profit at 0.1846 (0.65 %) and Stop Loss at 0.1866 (0.43 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 5.01
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
0 0.82
Prediction 3 Probability
0 0.74
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low
BTC Correlation Score

5m : 0.318282

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0005494427952
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.184624
  4. ema21 : 0.186381
  5. ema50 : 0.188634
  6. ema100 : 0.179743
  7. price_ema9_diff : 0.00636825
  8. ema9_ema21_diff : -0.00942685
  9. ema21_ema50_diff : -0.0119442
  10. price_ema100_diff : 0.0336928
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.463492
  14. adx : 0.0808827
  15. kc_percentage : 0.466575
  16. kc_width_percentage : 0.0626251
  17. volume_ema_diff : -0.888141
  18. volume_ema1 : 756536.70231391
  19. volume_ema2 : 6763317.7976538
    20. ¸
  20. 15m
  21. ema9 : 0.184765
  22. ema21 : 0.184281
  23. ema50 : 0.184681
  24. ema100 : 0.185986
  25. price_ema9_diff : 0.00559754
  26. ema9_ema21_diff : 0.00262879
  27. ema21_ema50_diff : -0.00216883
  28. price_ema100_diff : -0.00100115
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.620784
  32. adx : 0.174305
  33. kc_percentage : 0.869511
  34. kc_width_percentage : 0.0218248
  35. volume_ema_diff : -0.68245
  36. volume_ema1 : 137142.43712817
  37. volume_ema2 : 431877.02101146
    38. ¸
  38. 5m
  39. ema9 : 0.185054
  40. ema21 : 0.184618
  41. ema50 : 0.184176
  42. ema100 : 0.18373
  43. price_ema9_diff : 0.00402778
  44. ema9_ema21_diff : 0.002363
  45. ema21_ema50_diff : 0.00239825
  46. price_ema100_diff : 0.0112622
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.679917
  50. adx : 0.214664
  51. kc_percentage : 1.04228
  52. kc_width_percentage : 0.0115187
  53. volume_ema_diff : -0.30767
  54. volume_ema1 : 55241.308751884
  55. volume_ema2 : 79790.47189764
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108779
  59. 5m_price_ema100_diff: 
    0.00185847
  60. 5m_price: 
    108981
  61. 5m_correlation_with_coin: 
    0.318282
  62. btc_indicators
  63. 15m_ema100: 
    108743
  64. 15m_price_ema100_diff: 
    0.00219076
  65. 15m_price: 
    108981
  66. btc_indicators
  67. 1H_ema100: 
    109642
  68. 1H_price_ema100_diff: 
    -0.00603082
  69. 1H_price: 
    108981
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
31 Aug 2025
17:04:16		 31 Aug 2025
17:20:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1858 0.1866 0.1846 1.5 0.0481
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 0.1858
  • Stop Loss: 0.1866
  • Take Profit: 0.1846

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1866 - 0.1858 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1858 - 0.1846 = 0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0012 / 0.0008 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1803.5241 100 9706.8037 18.04
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1858 = 1858

Donc, tu peux acheter 10000 avec un stoploss a 0.1866

Avec un position size USD de 1858$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0012 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 10000
  • Taille de position USD 1858
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.65 % 11.65 $
SL % Target SL $ Target
0.43 % 7.77 $
PNL PNL %
11.65 $ 0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1842
            [stop_loss] => 0.1866
            [rr_ratio] => 2
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1838
            [stop_loss] => 0.1866
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1834
            [stop_loss] => 0.1866
            [rr_ratio] => 3
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.183
            [stop_loss] => 0.1866
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1826
            [stop_loss] => 0.1866
            [rr_ratio] => 4
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1822
            [stop_loss] => 0.1866
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1818
            [stop_loss] => 0.1866
            [rr_ratio] => 5
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1814
            [stop_loss] => 0.1866
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.181
            [stop_loss] => 0.1866
            [rr_ratio] => 6
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1806
            [stop_loss] => 0.1866
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1802
            [stop_loss] => 0.1866
            [rr_ratio] => 7
            [closed_at] => 2025-08-31 18:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.0026
            [rr_ratio] => 0.5
            [high] => 0.18840000
            [low] => 0.18450000
            [mfe_pct] => 0.7
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 24
            [start_at] => 2025-08-31T17:04:16-04:00
            [end_at] => 2025-08-31T19:04:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0113
            [max_drawdown] => 0.0026
            [rr_ratio] => 4.35
            [high] => 0.18840000
            [low] => 0.17450000
            [mfe_pct] => 6.08
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 4.35
            [candles_analyzed] => 84
            [start_at] => 2025-08-31T17:04:16-04:00
            [end_at] => 2025-09-01T00:04:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.18620000
            [high_after] => 0.18840000
            [low_before] => 0.18190000
            [low_after] => 0.17450000
            [is_new_high] => 
            [is_new_low] => 1
        )

)