Short Trade on PYTH 17 Sep 2025 at 09:06:08

Take profit at 0.1604 (0.8 %) and Stop Loss at 0.1623 (0.37 %)

Short Trade on PYTH

The 17 Sep 2025 at 09:06:08

With 12717.3875 PYTH at 0.1617$ per unit.

Position size of 2056.4016 $

Take profit at 0.1604 (0.8 %) and Stop Loss at 0.1623 (0.37 %)

That's a 2.17 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.97
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.71
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 : range_low

BTC Correlation Score

5m : 0.564245

15m : 0.105107

1H : 0.102703

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0004193733455
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.161519
  4. ema21 : 0.162364
  5. ema50 : 0.163539
  6. ema100 : 0.166441
  7. price_ema9_diff : 0.00111524
  8. ema9_ema21_diff : -0.00520086
  9. ema21_ema50_diff : -0.00718667
  10. price_ema100_diff : -0.0284847
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.153647
  14. ema_slope_21 : -0.0846043
  15. ema_slope_50 : -0.0556228
  16. ema_slope_100 : -0.0622515
  17. rsi : 0.454592
  18. adx : 0.193992
  19. kc_percentage : 0.40907
  20. kc_width_percentage : 0.0422606
  21. volume_ema_diff : -0.668698
  22. volume_ema1 : 127950.05316416
  23. volume_ema2 : 386204.30228733
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.160792
  28. ema21 : 0.161011
  29. ema50 : 0.161946
  30. ema100 : 0.162748
  31. price_ema9_diff : 0.00564644
  32. ema9_ema21_diff : -0.00136511
  33. ema21_ema50_diff : -0.0057716
  34. price_ema100_diff : -0.00644397
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.010151
  38. ema_slope_21 : -0.0397701
  39. ema_slope_50 : -0.0427049
  40. ema_slope_100 : -0.0301321
  41. rsi : 0.542307
  42. adx : 0.256278
  43. kc_percentage : 0.72728
  44. kc_width_percentage : 0.019621
  45. volume_ema_diff : -0.267398
  46. volume_ema1 : 40309.455890596
  47. volume_ema2 : 55022.381645944
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.161052
  52. ema21 : 0.160786
  53. ema50 : 0.160834
  54. ema100 : 0.161176
  55. price_ema9_diff : 0.0040197
  56. ema9_ema21_diff : 0.00165648
  57. ema21_ema50_diff : -0.000299853
  58. price_ema100_diff : 0.00324989
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0272758
  62. ema_slope_21 : 0.0117018
  63. ema_slope_50 : -0.00111305
  64. ema_slope_100 : -0.00574409
  65. rsi : 0.615416
  66. adx : 0.191933
  67. kc_percentage : 1.00491
  68. kc_width_percentage : 0.011067
  69. volume_ema_diff : 0.18358
  70. volume_ema1 : 16729.624412167
  71. volume_ema2 : 14134.753462341
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116457
  77. 5m_price_ema100_diff:
    -0.0029677
  78. 5m_price:
    116112
  79. 5m_correlation_with_coin:
    0.564245
  80. btc_indicators
  81. 15m_ema100:
    116330
  82. 15m_price_ema100_diff:
    -0.00187988
  83. 15m_price:
    116112
  84. 15m_correlation_with_coin:
    0.105107
  85. btc_indicators
  86. 1H_ema100:
    115884
  87. 1H_price_ema100_diff:
    0.00196757
  88. 1H_price:
    116112
  89. 1H_correlation_with_coin:
    0.102703
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
09:06:08
17 Sep 2025
10:10:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1617 0.1623 0.1604 2.17 0.0515
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 0.1617
  • Stop Loss: 0.1623
  • Take Profit: 0.1604

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1623 - 0.1617 = 0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1617 - 0.1604 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.00059999999999999 = 2.1667

📌 Position Size

Amount Margin Quantity Leverage
2056.4016 100 12717.3875 20.56
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 0.00059999999999999

Taille de position = 8 / 0.00059999999999999 = 13333.33

Taille de position USD = 13333.33 x 0.1617 = 2156

Donc, tu peux acheter 13333.33 avec un stoploss a 0.1623

Avec un position size USD de 2156$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00059999999999999 = 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 0.0013 = 17.33

Si Take Profit atteint, tu gagneras 17.33$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 2156
  • Perte potentielle 8
  • Gain potentiel 17.33
  • Risk-Reward Ratio 2.1667

📌 Peformances

TP % Target TP $ Target
0.8 % 16.53 $
SL % Target SL $ Target
0.37 % 7.63 $
PNL PNL %
-7.63 $ -0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3711 % 100 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1604
            [entry_price] => 0.1617
            [stop_loss] => 0.16236
            [rr_ratio] => 1.97
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 10:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1604
            [entry_price] => 0.1617
            [stop_loss] => 0.16242
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 10:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1604
            [entry_price] => 0.1617
            [stop_loss] => 0.16248
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 10:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1604
            [entry_price] => 0.1617
            [stop_loss] => 0.1626
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 10:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.0014
            [rr_ratio] => 0.93
            [high] => 0.16310000
            [low] => 0.16040000
            [mfe_pct] => 0.8
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 0.93
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T09:06:08-04:00
            [end_at] => 2025-09-17T11:06:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.0052
            [rr_ratio] => 0.38
            [high] => 0.16690000
            [low] => 0.15970000
            [mfe_pct] => 1.24
            [mae_pct] => 3.22
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T09:06:08-04:00
            [end_at] => 2025-09-17T16:06:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16240000
            [high_after] => 0.16570000
            [low_before] => 0.15930000
            [low_after] => 0.15970000
            [is_new_high] => 
            [is_new_low] => 
        )

)