Web3Way Logo

Short Trade on PYTH

Previous Trade Next Trade

Short Trade on PYTH 12 Oct 2025 at 00:35:47

Take profit at 0.1087 (1.54 %) and Stop Loss at 0.1112 (0.72 %)

Short Trade on PYTH

The 12 Oct 2025 at 00:35:47

With 9564.8582 PYTH at 0.1104$ per unit.

Position size of 1055.9603 $

Take profit at 0.1087 (1.54 %) and Stop Loss at 0.1112 (0.72 %)

That's a 2.13 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.74
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bull_high

5m_regime : bull_medium
BTC Correlation Score

5m : -0.0627

15m : -0.018662

1H : 0.122858

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.000557596699
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.108417
  4. ema21 : 0.111048
  5. ema50 : 0.121838
  6. ema100 : 0.134009
  7. price_ema9_diff : 0.018284
  8. ema9_ema21_diff : -0.0236925
  9. ema21_ema50_diff : -0.0885569
  10. price_ema100_diff : -0.176174
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.270458
  14. ema_slope_21 : -0.438684
  15. ema_slope_50 : -0.535513
  16. ema_slope_100 : -0.412077
  17. rsi : 0.440589
  18. adx : 0.523263
  19. kc_percentage : 0.47551
  20. kc_width_percentage : 0.119323
  21. volume_ema_diff : -0.604484
  22. volume_ema1 : 336481.72041731
  23. volume_ema2 : 850741.52866301
  24. chop : 66.5914
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.109028
  28. ema21 : 0.108364
  29. ema50 : 0.108739
  30. ema100 : 0.10956
  31. price_ema9_diff : 0.0125804
  32. ema9_ema21_diff : 0.00612345
  33. ema21_ema50_diff : -0.00344315
  34. price_ema100_diff : 0.00765971
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.110055
  38. ema_slope_21 : 0.0402898
  39. ema_slope_50 : -0.0176282
  40. ema_slope_100 : -0.0263885
  41. rsi : 0.631373
  42. adx : 0.192585
  43. kc_percentage : 0.92191
  44. kc_width_percentage : 0.043326
  45. volume_ema_diff : -0.323364
  46. volume_ema1 : 64513.115816259
  47. volume_ema2 : 95343.997008736
  48. chop : 46.5423
  49. regime : bull_high
    50. ¸
  50. 5m
  51. ema9 : 0.109907
  52. ema21 : 0.109094
  53. ema50 : 0.108293
  54. ema100 : 0.107807
  55. price_ema9_diff : 0.00448275
  56. ema9_ema21_diff : 0.00744985
  57. ema21_ema50_diff : 0.0073934
  58. price_ema100_diff : 0.024051
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.14652
  62. ema_slope_21 : 0.114224
  63. ema_slope_50 : 0.064621
  64. ema_slope_100 : 0.0376417
  65. rsi : 0.691347
  66. adx : 0.348774
  67. kc_percentage : 1.10122
  68. kc_width_percentage : 0.0189044
  69. volume_ema_diff : -0.457009
  70. volume_ema1 : 16171.74963022
  71. volume_ema2 : 29782.721644834
  72. chop : 43.1472
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110499
  77. 5m_price_ema100_diff: 
    0.0064497
  78. 5m_price: 
    111212
  79. 5m_correlation_with_coin: 
    -0.0627
  80. btc_indicators
  81. 15m_ema100: 
    111216
  82. 15m_price_ema100_diff: 
    -4.07942E-5
  83. 15m_price: 
    111212
  84. 15m_correlation_with_coin: 
    -0.018662
  85. btc_indicators
  86. 1H_ema100: 
    116634
  87. 1H_price_ema100_diff: 
    -0.0464896
  88. 1H_price: 
    111212
  89. 1H_correlation_with_coin: 
    0.122858
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Oct 2025
00:35:47		 12 Oct 2025
02:25:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1104 0.1112 0.1087 2.13 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 0.1104
  • Stop Loss: 0.1112
  • Take Profit: 0.1087

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1112 - 0.1104 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1104 - 0.1087 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.0008 = 2.125

📌 Position Size

Amount Margin Quantity Leverage
1055.9603 100 9564.8582 10.56
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1104 = 1104

Donc, tu peux acheter 10000 avec un stoploss a 0.1112

Avec un position size USD de 1104$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0017 = 17

Si Take Profit atteint, tu gagneras 17$

Résumé

  • Taille de position 10000
  • Taille de position USD 1104
  • Perte potentielle 8
  • Gain potentiel 17
  • Risk-Reward Ratio 2.125

📌 Peformances

TP % Target TP $ Target
1.54 % 16.26 $
SL % Target SL $ Target
0.72 % 7.65 $
PNL PNL %
-7.65 $ -0.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4493 % 200.01 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1087
            [entry_price] => 0.1104
            [stop_loss] => 0.11128
            [rr_ratio] => 1.93
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-12 02:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1087
            [entry_price] => 0.1104
            [stop_loss] => 0.11136
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-12 02:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1087
            [entry_price] => 0.1104
            [stop_loss] => 0.11144
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-12 02:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1087
            [entry_price] => 0.1104
            [stop_loss] => 0.1116
            [rr_ratio] => 1.42
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-12 02:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0009
            [max_drawdown] => 0.0016
            [rr_ratio] => 0.56
            [high] => 0.11200000
            [low] => 0.10950000
            [mfe_pct] => 0.82
            [mae_pct] => 1.45
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2025-10-12T00:35:47-04:00
            [end_at] => 2025-10-12T02:35:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.0021
            [rr_ratio] => 0.48
            [high] => 0.11250000
            [low] => 0.10940000
            [mfe_pct] => 0.91
            [mae_pct] => 1.9
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 84
            [start_at] => 2025-10-12T00:35:47-04:00
            [end_at] => 2025-10-12T07:35:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11090000
            [high_after] => 0.11250000
            [low_before] => 0.10560000
            [low_after] => 0.10940000
            [is_new_high] => 
            [is_new_low] => 
        )

)