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Short Trade on PYTH

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Short Trade on PYTH 24 Jul 2025 at 10:50:12

Take profit at 0.1267 (1.32 %) and Stop Loss at 0.1296 (0.93 %)

Short Trade on PYTH

The 24 Jul 2025 at 10:50:12

With 6939.5577 PYTH at 0.1284$ per unit.

Position size of 891.0392 $

Take profit at 0.1267 (1.32 %) and Stop Loss at 0.1296 (0.93 %)

That's a 1.42 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 4.38
Prediction Score: 0.175
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
0 0.54
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.831132

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.0007685408106
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 0.126383
  4. ema21 : 0.128528
  5. ema50 : 0.133677
  6. ema100 : 0.137451
  7. price_ema9_diff : 0.0159519
  8. ema9_ema21_diff : -0.0166871
  9. ema21_ema50_diff : -0.038514
  10. price_ema100_diff : -0.0658519
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.464714
  14. kc_percentage : 0.50699
  15. kc_width_percentage : 0.0970779
  16. volume_ema_diff : -0.14213
  17. volume_ema1 : 212612.22931373
  18. volume_ema2 : 247837.5510112
    19. ¸
  19. 15m
  20. ema9 : 0.126235
  21. ema21 : 0.125913
  22. ema50 : 0.126614
  23. ema100 : 0.128304
  24. price_ema9_diff : 0.0171485
  25. ema9_ema21_diff : 0.00255848
  26. ema21_ema50_diff : -0.00553696
  27. price_ema100_diff : 0.000741372
  28. all_emas_in_trend : False
  29. all_emas_and_price_in_trend : False
  30. rsi : 0.606262
  31. kc_percentage : 0.946114
  32. kc_width_percentage : 0.0433406
  33. volume_ema_diff : 0.234958
  34. volume_ema1 : 68321.320078164
  35. volume_ema2 : 55322.784825706
    36. ¸
  36. 5m
  37. ema9 : 0.126823
  38. ema21 : 0.126168
  39. ema50 : 0.125769
  40. ema100 : 0.12522
  41. price_ema9_diff : 0.0124341
  42. ema9_ema21_diff : 0.00518554
  43. ema21_ema50_diff : 0.00317531
  44. price_ema100_diff : 0.02539
  45. all_emas_in_trend : True
  46. all_emas_and_price_in_trend : True
  47. rsi : 0.671191
  48. kc_percentage : 1.199
  49. kc_width_percentage : 0.0245875
  50. volume_ema_diff : 0.545199
  51. volume_ema1 : 28524.27120384
  52. volume_ema2 : 18459.92497646
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 
    118288
  56. 5m_price_ema100_diff: 
    0.00415278
  57. 5m_price: 
    118780
  58. 5m_correlation_with_coin: 
    0.831132
  59. btc_indicators
  60. 15m_ema100: 
    118258
  61. 15m_price_ema100_diff: 
    0.00428405
  62. 15m_price: 
    118764
  63. btc_indicators
  64. 1H_ema100: 
    118309
  65. 1H_price_ema100_diff: 
    0.00397501
  66. 1H_price: 
    118780
    67. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
24 Jul 2025
10:50:12		 24 Jul 2025
10:55:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1284 0.1296 0.1267 1.42 0.0489
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 0.1284
  • Stop Loss: 0.1296
  • Take Profit: 0.1267

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1296 - 0.1284 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1284 - 0.1267 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.0012 = 1.4167

📌 Position Size

Amount Margin Quantity Leverage
891.0392 100 6939.5577 8.91
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.1284 = 856

Donc, tu peux acheter 6666.67 avec un stoploss a 0.1296

Avec un position size USD de 856$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0017 = 11.33

Si Take Profit atteint, tu gagneras 11.33$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 856
  • Perte potentielle 8
  • Gain potentiel 11.33
  • Risk-Reward Ratio 1.4167

📌 Peformances

TP % Target TP $ Target
1.32 % 11.8 $
SL % Target SL $ Target
0.93 % 8.33 $
PNL PNL %
-8.33 $ -0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9346 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1267
            [entry_price] => 0.1284
            [stop_loss] => 0.12972
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-07-24 11:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1267
            [entry_price] => 0.1284
            [stop_loss] => 0.12984
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-07-24 11:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1267
            [entry_price] => 0.1284
            [stop_loss] => 0.12996
            [rr_ratio] => 1.09
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-07-24 12:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1267
            [entry_price] => 0.1284
            [stop_loss] => 0.1302
            [rr_ratio] => 0.94
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-07-24 12:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0047
            [max_drawdown] => 0.0015
            [rr_ratio] => 3.13
            [high] => 0.12990000
            [low] => 0.12370000
            [mfe_pct] => 3.66
            [mae_pct] => 1.17
            [mfe_mae_ratio] => 3.13
            [candles_analyzed] => 24
            [start_at] => 2025-07-24T10:50:12-04:00
            [end_at] => 2025-07-24T12:50:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0047
            [max_drawdown] => 0.0015
            [rr_ratio] => 3.13
            [high] => 0.12990000
            [low] => 0.12370000
            [mfe_pct] => 3.66
            [mae_pct] => 1.17
            [mfe_mae_ratio] => 3.13
            [candles_analyzed] => 72
            [start_at] => 2025-07-24T10:50:12-04:00
            [end_at] => 2025-07-24T16:50:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12900000
            [high_after] => 0.12990000
            [low_before] => 0.12370000
            [low_after] => 0.12370000
            [is_new_high] => 
            [is_new_low] => 
        )

)