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Short Trade on PYTH

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Short Trade on PYTH 15 Sep 2025 at 16:45:16

Take profit at 0.1594 (0.75 %) and Stop Loss at 0.1612 (0.37 %)

Short Trade on PYTH

The 15 Sep 2025 at 16:45:16

With 13366.001 PYTH at 0.1606$ per unit.

Position size of 2146.5798 $

Take profit at 0.1594 (0.75 %) and Stop Loss at 0.1612 (0.37 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.81
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.63
Prediction 3 Probability
0 0.54
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low_confirmed
BTC Correlation Score

5m : 0.675454

15m : -0.059493

1H : -0.006161

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0003990223655
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.159756
  4. ema21 : 0.162056
  5. ema50 : 0.166484
  6. ema100 : 0.170591
  7. price_ema9_diff : 0.00527896
  8. ema9_ema21_diff : -0.0141895
  9. ema21_ema50_diff : -0.0266017
  10. price_ema100_diff : -0.0585675
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.331709
  14. ema_slope_21 : -0.292712
  15. ema_slope_50 : -0.213861
  16. ema_slope_100 : -0.145663
  17. rsi : 0.425988
  18. adx : 0.348307
  19. kc_percentage : 0.359967
  20. kc_width_percentage : 0.0561864
  21. volume_ema_diff : -0.501848
  22. volume_ema1 : 384792.93790735
  23. volume_ema2 : 772441.5778399
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.159774
  27. ema21 : 0.159257
  28. ema50 : 0.160322
  29. ema100 : 0.162392
  30. price_ema9_diff : 0.00516853
  31. ema9_ema21_diff : 0.00324611
  32. ema21_ema50_diff : -0.00664183
  33. price_ema100_diff : -0.0110368
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.103248
  37. ema_slope_21 : 0.0340395
  38. ema_slope_50 : -0.030123
  39. ema_slope_100 : -0.0426837
  40. rsi : 0.595934
  41. adx : 0.342394
  42. kc_percentage : 0.881541
  43. kc_width_percentage : 0.0218598
  44. volume_ema_diff : -0.550807
  45. volume_ema1 : 60264.456830933
  46. volume_ema2 : 134161.71991828
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.160334
  50. ema21 : 0.159819
  51. ema50 : 0.159162
  52. ema100 : 0.159093
  53. price_ema9_diff : 0.00165882
  54. ema9_ema21_diff : 0.00321795
  55. ema21_ema50_diff : 0.00413097
  56. price_ema100_diff : 0.00947123
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0574824
  60. ema_slope_21 : 0.0554733
  61. ema_slope_50 : 0.0355443
  62. ema_slope_100 : 0.0163017
  63. rsi : 0.666438
  64. adx : 0.467531
  65. kc_percentage : 1.00805
  66. kc_width_percentage : 0.00908319
  67. volume_ema_diff : -0.0655018
  68. volume_ema1 : 28790.78837768
  69. volume_ema2 : 30808.823063539
  70. regime : bull_low_confirmed
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114963
  74. 5m_price_ema100_diff: 
    0.00203754
  75. 5m_price: 
    115197
  76. 5m_correlation_with_coin: 
    0.675454
  77. btc_indicators
  78. 15m_ema100: 
    115204
  79. 15m_price_ema100_diff: 
    -6.35659E-5
  80. 15m_price: 
    115197
  81. 15m_correlation_with_coin: 
    -0.059493
  82. btc_indicators
  83. 1H_ema100: 
    115313
  84. 1H_price_ema100_diff: 
    -0.00100294
  85. 1H_price: 
    115197
  86. 1H_correlation_with_coin: 
    -0.006161
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:45:16		 15 Sep 2025
17:50:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1606 0.1612 0.1594 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 0.1606
  • Stop Loss: 0.1612
  • Take Profit: 0.1594

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1612 - 0.1606 = 0.00060000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1606 - 0.1594 = 0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0012 / 0.00060000000000002 = 2

📌 Position Size

Amount Margin Quantity Leverage
2146.5798 100 13366.001 21.47
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 0.00060000000000002

Taille de position = 8 / 0.00060000000000002 = 13333.33

Taille de position USD = 13333.33 x 0.1606 = 2141.33

Donc, tu peux acheter 13333.33 avec un stoploss a 0.1612

Avec un position size USD de 2141.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00060000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13333.33 x 0.0012 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 2141.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.75 % 16.04 $
SL % Target SL $ Target
0.37 % 8.02 $
PNL PNL %
-8.02 $ -0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5604 % 150 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1594
            [entry_price] => 0.1606
            [stop_loss] => 0.16126
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 17:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1594
            [entry_price] => 0.1606
            [stop_loss] => 0.16132
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1594
            [entry_price] => 0.1606
            [stop_loss] => 0.16138
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 17:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1594
            [entry_price] => 0.1606
            [stop_loss] => 0.1615
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 17:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00070000000000001
            [max_drawdown] => 0.0011
            [rr_ratio] => 0.64
            [high] => 0.16170000
            [low] => 0.15990000
            [mfe_pct] => 0.44
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 0.64
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:45:16-04:00
            [end_at] => 2025-09-15T18:45:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00070000000000001
            [max_drawdown] => 0.0014
            [rr_ratio] => 0.5
            [high] => 0.16200000
            [low] => 0.15990000
            [mfe_pct] => 0.44
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:45:16-04:00
            [end_at] => 2025-09-15T23:45:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16070000
            [high_after] => 0.16200000
            [low_before] => 0.15600000
            [low_after] => 0.15990000
            [is_new_high] => 
            [is_new_low] => 
        )

)