Short Trade on PYTH 15 Sep 2025 at 16:21:17

Take profit at 0.1593 (0.81 %) and Stop Loss at 0.1613 (0.44 %)

Short Trade on PYTH

The 15 Sep 2025 at 16:21:17

With 11929.0927 PYTH at 0.1606$ per unit.

Position size of 1915.8123 $

Take profit at 0.1593 (0.81 %) and Stop Loss at 0.1613 (0.44 %)

That's a 1.86 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
0.85
Prediction 2 Probability
0 0.81
Prediction 3 Probability
0 0.86
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

BTC Correlation Score

5m : 0.68829

15m : 0.038024

1H : 0.123269

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0004470862501
Details
  1. score: 1.16
  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 : -0.546047
  22. volume_ema1 : 348725.32373214
  23. volume_ema2 : 768198.32911341
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.159389
  28. ema21 : 0.159011
  29. ema50 : 0.160304
  30. ema100 : 0.162401
  31. price_ema9_diff : 0.0075934
  32. ema9_ema21_diff : 0.00237793
  33. ema21_ema50_diff : -0.00806468
  34. price_ema100_diff : -0.0110948
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0947277
  38. ema_slope_21 : 0.0163514
  39. ema_slope_50 : -0.0419603
  40. ema_slope_100 : -0.0480897
  41. rsi : 0.596791
  42. adx : 0.350198
  43. kc_percentage : 0.888682
  44. kc_width_percentage : 0.0256036
  45. volume_ema_diff : -0.480377
  46. volume_ema1 : 73085.098428947
  47. volume_ema2 : 140650.25382432
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.160042
  52. ema21 : 0.159443
  53. ema50 : 0.158882
  54. ema100 : 0.158941
  55. price_ema9_diff : 0.00348606
  56. ema9_ema21_diff : 0.00375327
  57. ema21_ema50_diff : 0.00353012
  58. price_ema100_diff : 0.0104374
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0731945
  62. ema_slope_21 : 0.0576534
  63. ema_slope_50 : 0.031768
  64. ema_slope_100 : 0.012619
  65. rsi : 0.695203
  66. adx : 0.410867
  67. kc_percentage : 1.1603
  68. kc_width_percentage : 0.0105319
  69. volume_ema_diff : -0.278614
  70. volume_ema1 : 23877.401307125
  71. volume_ema2 : 33099.384785174
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114950
  77. 5m_price_ema100_diff:
    0.00408794
  78. 5m_price:
    115420
  79. 5m_correlation_with_coin:
    0.68829
  80. btc_indicators
  81. 15m_ema100:
    115188
  82. 15m_price_ema100_diff:
    0.00201137
  83. 15m_price:
    115420
  84. 15m_correlation_with_coin:
    0.038024
  85. btc_indicators
  86. 1H_ema100:
    115317
  87. 1H_price_ema100_diff:
    0.000887491
  88. 1H_price:
    115420
  89. 1H_correlation_with_coin:
    0.123269
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:21:17
15 Sep 2025
17:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1606 0.1613 0.1593 1.86 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: 0.1613
  • Take Profit: 0.1593

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1613 - 0.1606 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1606 - 0.1593 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.00070000000000001 = 1.8571

📌 Position Size

Amount Margin Quantity Leverage
1915.8123 100 11929.0927 19.16
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 0.1606 = 1835.43

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1613

Avec un position size USD de 1835.43$

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 0.0013 = 14.86

Si Take Profit atteint, tu gagneras 14.86$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 1835.43
  • Perte potentielle 8
  • Gain potentiel 14.86
  • Risk-Reward Ratio 1.8571

📌 Peformances

TP % Target TP $ Target
0.81 % 15.51 $
SL % Target SL $ Target
0.44 % 8.35 $
PNL PNL %
-8.35 $ -0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5604 % 128.56 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1593
            [entry_price] => 0.1606
            [stop_loss] => 0.16137
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 17:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1593
            [entry_price] => 0.1606
            [stop_loss] => 0.16144
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1593
            [entry_price] => 0.1606
            [stop_loss] => 0.16151
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1593
            [entry_price] => 0.1606
            [stop_loss] => 0.16165
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 18:00:00
            [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] => 2025-09-15T16:21:17-04:00
            [end_at] => 2025-09-15T18:21:17-04:00
        )

    [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] => 2025-09-15T16:21:17-04:00
            [end_at] => 2025-09-15T23:21:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16060000
            [high_after] => 0.16200000
            [low_before] => 0.15600000
            [low_after] => 0.15990000
            [is_new_high] => 
            [is_new_low] => 
        )

)