Web3Way Logo

Short Trade on PYTH

Previous Trade Next Trade

Short Trade on PYTH 22 Sep 2025 at 20:26:55

Take profit at 0.1487 (0.67 %) and Stop Loss at 0.1502 (0.33 %)

Short Trade on PYTH

The 22 Sep 2025 at 20:26:55

With 15567.9419 PYTH at 0.1497$ per unit.

Position size of 2330.5209 $

Take profit at 0.1487 (0.67 %) and Stop Loss at 0.1502 (0.33 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 8.6
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.56
Prediction 3 Probability
1 0.71
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.349948

15m : 0.00414

1H : -0.092956

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0003425843551
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.148683
  4. ema21 : 0.150724
  5. ema50 : 0.156378
  6. ema100 : 0.161833
  7. price_ema9_diff : 0.00683631
  8. ema9_ema21_diff : -0.0135408
  9. ema21_ema50_diff : -0.0361569
  10. price_ema100_diff : -0.0749773
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.142096
  14. ema_slope_21 : -0.266166
  15. ema_slope_50 : -0.253821
  16. ema_slope_100 : -0.183283
  17. rsi : 0.417984
  18. adx : 0.581142
  19. kc_percentage : 0.392174
  20. kc_width_percentage : 0.049792
  21. volume_ema_diff : -0.592647
  22. volume_ema1 : 200414.40707252
  23. volume_ema2 : 491992.17210231
  24. chop : 63.6064
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.148733
  28. ema21 : 0.148362
  29. ema50 : 0.148973
  30. ema100 : 0.151586
  31. price_ema9_diff : 0.00649802
  32. ema9_ema21_diff : 0.00250302
  33. ema21_ema50_diff : -0.00410092
  34. price_ema100_diff : -0.0124451
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0777918
  38. ema_slope_21 : 0.0433616
  39. ema_slope_50 : -0.00989582
  40. ema_slope_100 : -0.0431861
  41. rsi : 0.661805
  42. adx : 0.183746
  43. kc_percentage : 1.0586
  44. kc_width_percentage : 0.0158592
  45. volume_ema_diff : -0.386145
  46. volume_ema1 : 50581.233742716
  47. volume_ema2 : 82399.365372591
  48. chop : 49.6403
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.149183
  52. ema21 : 0.148822
  53. ema50 : 0.148401
  54. ema100 : 0.148188
  55. price_ema9_diff : 0.00346477
  56. ema9_ema21_diff : 0.00242497
  57. ema21_ema50_diff : 0.00283442
  58. price_ema100_diff : 0.0101979
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0517325
  62. ema_slope_21 : 0.0311597
  63. ema_slope_50 : 0.0207762
  64. ema_slope_100 : 0.0119498
  65. rsi : 0.703492
  66. adx : 0.219891
  67. kc_percentage : 1.11407
  68. kc_width_percentage : 0.00931517
  69. volume_ema_diff : 0.124211
  70. volume_ema1 : 21553.789227587
  71. volume_ema2 : 19172.369134591
  72. chop : 32.8108
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112593
  77. 5m_price_ema100_diff: 
    0.000703519
  78. 5m_price: 
    112673
  79. 5m_correlation_with_coin: 
    0.349948
  80. btc_indicators
  81. 15m_ema100: 
    113130
  82. 15m_price_ema100_diff: 
    -0.00474022
  83. 15m_price: 
    112594
  84. 15m_correlation_with_coin: 
    0.00414
  85. btc_indicators
  86. 1H_ema100: 
    114829
  87. 1H_price_ema100_diff: 
    -0.0187787
  88. 1H_price: 
    112673
  89. 1H_correlation_with_coin: 
    -0.092956
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
20:26:55		 22 Sep 2025
20:30:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1497 0.1502 0.1487 2 0.0509
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 0.1497
  • Stop Loss: 0.1502
  • Take Profit: 0.1487

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1502 - 0.1497 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1497 - 0.1487 = 0.001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.001 / 0.0005 = 2

📌 Position Size

Amount Margin Quantity Leverage
2330.5209 100 15567.9419 23.31
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 0.1497 = 2395.2

Donc, tu peux acheter 16000 avec un stoploss a 0.1502

Avec un position size USD de 2395.2$

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 2395.2
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.67 % 15.57 $
SL % Target SL $ Target
0.33 % 7.78 $
PNL PNL %
-7.78 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4676 % 140 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1487
            [entry_price] => 0.1497
            [stop_loss] => 0.15025
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 20:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1487
            [entry_price] => 0.1497
            [stop_loss] => 0.1503
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 20:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1487
            [entry_price] => 0.1497
            [stop_loss] => 0.15035
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 20:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1487
            [entry_price] => 0.1497
            [stop_loss] => 0.15045
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 20:55:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0039
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 5.57
            [high] => 0.15040000
            [low] => 0.14580000
            [mfe_pct] => 2.61
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 5.57
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T20:26:55-04:00
            [end_at] => 2025-09-22T22:26:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0065
            [max_drawdown] => 0.0015
            [rr_ratio] => 4.33
            [high] => 0.15120000
            [low] => 0.14320000
            [mfe_pct] => 4.34
            [mae_pct] => 1
            [mfe_mae_ratio] => 4.33
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T20:26:55-04:00
            [end_at] => 2025-09-23T03:26:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14980000
            [high_after] => 0.15040000
            [low_before] => 0.14650000
            [low_after] => 0.14320000
            [is_new_high] => 
            [is_new_low] => 1
        )

)