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Short Trade on PYTH

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Short Trade on PYTH 15 Sep 2025 at 17:59:59

Take profit at 0.1602 (0.62 %) and Stop Loss at 0.1617 (0.31 %)

Short Trade on PYTH

The 15 Sep 2025 at 17:59:59

With 16579.1984 PYTH at 0.1612$ per unit.

Position size of 2672.5668 $

Take profit at 0.1602 (0.62 %) and Stop Loss at 0.1617 (0.31 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.28
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.8
Prediction 3 Probability
0 0.83
BTC Market Regime Coin Market Regime

ml_regime : neutral

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 : 0.674046

15m : 0.064872

1H : -0.171781

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0003216882507
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.160029
  4. ema21 : 0.161969
  5. ema50 : 0.16625
  6. ema100 : 0.170227
  7. price_ema9_diff : 0.0073154
  8. ema9_ema21_diff : -0.0119815
  9. ema21_ema50_diff : -0.0257453
  10. price_ema100_diff : -0.0530307
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.270762
  14. ema_slope_21 : -0.268794
  15. ema_slope_50 : -0.206006
  16. ema_slope_100 : -0.141244
  17. rsi : 0.44551
  18. adx : 0.335903
  19. kc_percentage : 0.433012
  20. kc_width_percentage : 0.0547965
  21. volume_ema_diff : -0.517992
  22. volume_ema1 : 358746.4821749
  23. volume_ema2 : 744274.95766525
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.160243
  27. ema21 : 0.15966
  28. ema50 : 0.160334
  29. ema100 : 0.162128
  30. price_ema9_diff : 0.00596715
  31. ema9_ema21_diff : 0.00365161
  32. ema21_ema50_diff : -0.00420299
  33. price_ema100_diff : -0.00572822
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.11888
  37. ema_slope_21 : 0.0642287
  38. ema_slope_50 : -0.00640294
  39. ema_slope_100 : -0.0282317
  40. rsi : 0.608575
  41. adx : 0.303526
  42. kc_percentage : 0.98704
  43. kc_width_percentage : 0.0193609
  44. volume_ema_diff : -0.686282
  45. volume_ema1 : 38129.627035141
  46. volume_ema2 : 121541.22881409
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.160789
  50. ema21 : 0.160432
  51. ema50 : 0.15976
  52. ema100 : 0.159369
  53. price_ema9_diff : 0.00255016
  54. ema9_ema21_diff : 0.00222546
  55. ema21_ema50_diff : 0.00420964
  56. price_ema100_diff : 0.0114888
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0212502
  60. ema_slope_21 : 0.0261949
  61. ema_slope_50 : 0.0269131
  62. ema_slope_100 : 0.0170456
  63. rsi : 0.680229
  64. adx : 0.421222
  65. kc_percentage : 1.11631
  66. kc_width_percentage : 0.00743344
  67. volume_ema_diff : 0.399924
  68. volume_ema1 : 42260.34590991
  69. volume_ema2 : 30187.590987215
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115006
  74. 5m_price_ema100_diff: 
    0.00404261
  75. 5m_price: 
    115471
  76. 5m_correlation_with_coin: 
    0.674046
  77. btc_indicators
  78. 15m_ema100: 
    115224
  79. 15m_price_ema100_diff: 
    0.00196937
  80. 15m_price: 
    115451
  81. 15m_correlation_with_coin: 
    0.064872
  82. btc_indicators
  83. 1H_ema100: 
    115281
  84. 1H_price_ema100_diff: 
    0.00165057
  85. 1H_price: 
    115471
  86. 1H_correlation_with_coin: 
    -0.171781
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
17:59:59		 15 Sep 2025
18:00:00		 1 second

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1612 0.1617 0.1602 2 0.0496
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 0.1612
  • Stop Loss: 0.1617
  • Take Profit: 0.1602

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1617 - 0.1612 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1612 - 0.1602 = 0.001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.001 / 0.0005 = 2

📌 Position Size

Amount Margin Quantity Leverage
2672.5668 100 16579.1984 26.73
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1612 = 2579.2

Donc, tu peux acheter 16000 avec un stoploss a 0.1617

Avec un position size USD de 2579.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 16000
  • Taille de position USD 2579.2
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.62 % 16.58 $
SL % Target SL $ Target
0.31 % 8.29 $
PNL PNL %
-8.29 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3102 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1602
            [entry_price] => 0.1612
            [stop_loss] => 0.16175
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 19:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1602
            [entry_price] => 0.1612
            [stop_loss] => 0.1618
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 19:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1602
            [entry_price] => 0.1612
            [stop_loss] => 0.16185
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 19:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1602
            [entry_price] => 0.1612
            [stop_loss] => 0.16195
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 19:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00070000000000001
            [max_drawdown] => 0.0008
            [rr_ratio] => 0.88
            [high] => 0.16200000
            [low] => 0.16050000
            [mfe_pct] => 0.43
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 0.88
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T17:59:59-04:00
            [end_at] => 2025-09-15T19:59:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0021
            [max_drawdown] => 0.0008
            [rr_ratio] => 2.63
            [high] => 0.16200000
            [low] => 0.15910000
            [mfe_pct] => 1.3
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 2.63
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T17:59:59-04:00
            [end_at] => 2025-09-16T00:59:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16150000
            [high_after] => 0.16200000
            [low_before] => 0.15770000
            [low_after] => 0.15990000
            [is_new_high] => 
            [is_new_low] => 
        )

)