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Short Trade on PYTH

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Short Trade on PYTH 04 Sep 2025 at 21:06:13

Take profit at 0.1488 (0.93 %) and Stop Loss at 0.1509 (0.47 %)

Short Trade on PYTH

The 04 Sep 2025 at 21:06:13

With 11714.9965 PYTH at 0.1502$ per unit.

Position size of 1759.5925 $

Take profit at 0.1488 (0.93 %) and Stop Loss at 0.1509 (0.47 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 1.87
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
2 0.49
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low_confirmed
BTC Correlation Score

5m : 0.603078

15m : 0.056661

1H : -0.054217

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0004552569284
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.149495
  4. ema21 : 0.151031
  5. ema50 : 0.155045
  6. ema100 : 0.161102
  7. price_ema9_diff : 0.00471224
  8. ema9_ema21_diff : -0.0101684
  9. ema21_ema50_diff : -0.0258894
  10. price_ema100_diff : -0.0676764
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.178172
  14. ema_slope_21 : -0.219869
  15. ema_slope_50 : -0.193344
  16. ema_slope_100 : -0.165698
  17. rsi : 0.435118
  18. adx : 0.371164
  19. kc_percentage : 0.40751
  20. kc_width_percentage : 0.0490512
  21. volume_ema_diff : -0.736117
  22. volume_ema1 : 266189.2469556
  23. volume_ema2 : 1008740.407383
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.149243
  27. ema21 : 0.149159
  28. ema50 : 0.149829
  29. ema100 : 0.151842
  30. price_ema9_diff : 0.00641027
  31. ema9_ema21_diff : 0.000559943
  32. ema21_ema50_diff : -0.00446827
  33. price_ema100_diff : -0.0108191
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.00476952
  37. ema_slope_21 : -0.00194745
  38. ema_slope_50 : -0.0244059
  39. ema_slope_100 : -0.0405312
  40. rsi : 0.580268
  41. adx : 0.103127
  42. kc_percentage : 0.818355
  43. kc_width_percentage : 0.021804
  44. volume_ema_diff : -0.315058
  45. volume_ema1 : 90218.166977773
  46. volume_ema2 : 131716.59585119
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.14942
  50. ema21 : 0.149186
  51. ema50 : 0.149079
  52. ema100 : 0.148948
  53. price_ema9_diff : 0.00521756
  54. ema9_ema21_diff : 0.0015696
  55. ema21_ema50_diff : 0.000719185
  56. price_ema100_diff : 0.0084051
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0410493
  60. ema_slope_21 : 0.0172114
  61. ema_slope_50 : 0.00677435
  62. ema_slope_100 : 0.00470527
  63. rsi : 0.651104
  64. adx : 0.158782
  65. kc_percentage : 1.04018
  66. kc_width_percentage : 0.0123938
  67. volume_ema_diff : 0.986175
  68. volume_ema1 : 55086.333169862
  69. volume_ema2 : 27734.88033546
  70. regime : bull_low_confirmed
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110366
  74. 5m_price_ema100_diff: 
    0.00133271
  75. 5m_price: 
    110513
  76. 5m_correlation_with_coin: 
    0.603078
  77. btc_indicators
  78. 15m_ema100: 
    110644
  79. 15m_price_ema100_diff: 
    -0.00118422
  80. 15m_price: 
    110513
  81. 15m_correlation_with_coin: 
    0.056661
  82. btc_indicators
  83. 1H_ema100: 
    110341
  84. 1H_price_ema100_diff: 
    0.00155742
  85. 1H_price: 
    110513
  86. 1H_correlation_with_coin: 
    -0.054217
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
21:06:13		 04 Sep 2025
21:45:00		 38 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1502 0.1509 0.1488 2 0.0529
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 0.1502
  • Stop Loss: 0.1509
  • Take Profit: 0.1488

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1509 - 0.1502 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1502 - 0.1488 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00070000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1759.5925 100 11714.9965 17.60
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 0.00070000000000001

Taille de position = 8 / 0.00070000000000001 = 11428.57

Taille de position USD = 11428.57 x 0.1502 = 1716.57

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1509

Avec un position size USD de 1716.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0014 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 1716.57
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.93 % 16.4 $
SL % Target SL $ Target
0.47 % 8.2 $
PNL PNL %
-8.2 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.466 % 100 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1488
            [entry_price] => 0.1502
            [stop_loss] => 0.15097
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 22:20:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.1488
            [entry_price] => 0.1502
            [stop_loss] => 0.15104
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 22:20:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1488
            [entry_price] => 0.1502
            [stop_loss] => 0.15111
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 22:20:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1488
            [entry_price] => 0.1502
            [stop_loss] => 0.15125
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 22:20:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 2
            [high] => 0.15090000
            [low] => 0.14880000
            [mfe_pct] => 0.93
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T21:06:13-04:00
            [end_at] => 2025-09-04T23:06:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.0031
            [rr_ratio] => 0.45
            [high] => 0.15330000
            [low] => 0.14880000
            [mfe_pct] => 0.93
            [mae_pct] => 2.06
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T21:06:13-04:00
            [end_at] => 2025-09-05T04:06:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15040000
            [high_after] => 0.15110000
            [low_before] => 0.14810000
            [low_after] => 0.14880000
            [is_new_high] => 
            [is_new_low] => 
        )

)