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Short Trade on PYTH

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Short Trade on PYTH 19 May 2025 at 18:49:12

Take profit at 0.1361 (1.16 %) and Stop Loss at 0.1387 (0.73 %)

Short Trade on PYTH

The 19 May 2025 at 18:49:12

With 7725.4817 PYTH at 0.1377$ per unit.

Position size of 1063.7988 $

Take profit at 0.1361 (1.16 %) and Stop Loss at 0.1387 (0.73 %)

That's a 1.6 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 2.8
Prediction Score: -5.0815
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.46
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.631624

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0006903560931
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.137646
  4. ema21 : 0.141198
  5. ema50 : 0.14695
  6. ema100 : 0.152502
  7. price_ema9_diff : 0.000390929
  8. ema9_ema21_diff : -0.0251569
  9. ema21_ema50_diff : -0.0391427
  10. price_ema100_diff : -0.0970625
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.332043
  14. kc_percentage : 0.229849
  15. kc_width_percentage : 0.0866156
    16. ¸
  16. 15m
  17. ema9 : 0.136205
  18. ema21 : 0.136428
  19. ema50 : 0.13848
  20. ema100 : 0.141676
  21. price_ema9_diff : 0.0109695
  22. ema9_ema21_diff : -0.00163479
  23. ema21_ema50_diff : -0.014812
  24. price_ema100_diff : -0.0280694
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.549781
  28. kc_percentage : 0.730529
  29. kc_width_percentage : 0.0415603
    30. ¸
  30. 5m
  31. ema9 : 0.136469
  32. ema21 : 0.136154
  33. ema50 : 0.136173
  34. ema100 : 0.136721
  35. price_ema9_diff : 0.00901636
  36. ema9_ema21_diff : 0.00231521
  37. ema21_ema50_diff : -0.000142444
  38. price_ema100_diff : 0.00715366
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.643915
  42. kc_percentage : 1.05759
  43. kc_width_percentage : 0.0199619
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    104979
  47. 5m_price_ema100_diff: 
    0.00566925
  48. 5m_price: 
    105574
  49. 5m_correlation_with_coin: 
    0.631624
  50. btc_indicators
  51. 15m_ema100: 
    104350
  52. 15m_price_ema100_diff: 
    0.0117369
  53. 15m_price: 
    105574
  54. btc_indicators
  55. 1H_ema100: 
    103843
  56. 1H_price_ema100_diff: 
    0.0166746
  57. 1H_price: 
    105574
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
19 May 2025
18:49:12		 19 May 2025
19:20:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1377 0.1387 0.1361 1.6 0.0521
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 0.1377
  • Stop Loss: 0.1387
  • Take Profit: 0.1361

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1387 - 0.1377 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1377 - 0.1361 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.001 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
1063.7988 100 7725.4817 10.64
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1377 = 1101.6

Donc, tu peux acheter 8000 avec un stoploss a 0.1387

Avec un position size USD de 1101.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0016 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position 8000
  • Taille de position USD 1101.6
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
1.16 % 12.36 $
SL % Target SL $ Target
0.73 % 7.73 $
PNL PNL %
12.36 $ 1.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.21786492374729 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1357
            [stop_loss] => 0.1387
            [rr_ratio] => 2
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1352
            [stop_loss] => 0.1387
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1347
            [stop_loss] => 0.1387
            [rr_ratio] => 3
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1342
            [stop_loss] => 0.1387
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1337
            [stop_loss] => 0.1387
            [rr_ratio] => 4
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1332
            [stop_loss] => 0.1387
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1327
            [stop_loss] => 0.1387
            [rr_ratio] => 5
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1322
            [stop_loss] => 0.1387
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1317
            [stop_loss] => 0.1387
            [rr_ratio] => 6
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1312
            [stop_loss] => 0.1387
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1307
            [stop_loss] => 0.1387
            [rr_ratio] => 7
            [closed_at] => 2025-05-19 20:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0031
            [max_drawdown] => 0.0011
            [rr_ratio] => 2.82
            [high] => 0.13880000
            [low] => 0.13460000
            [mfe_pct] => 2.25
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 2.82
            [candles_analyzed] => 24
            [start_at] => 2025-05-19T18:49:12-04:00
            [end_at] => 2025-05-19T20:49:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0031
            [max_drawdown] => 0.0034
            [rr_ratio] => 0.91
            [high] => 0.14110000
            [low] => 0.13460000
            [mfe_pct] => 2.25
            [mae_pct] => 2.47
            [mfe_mae_ratio] => 0.91
            [candles_analyzed] => 72
            [start_at] => 2025-05-19T18:49:12-04:00
            [end_at] => 2025-05-20T00:49:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13790000
            [high_after] => 0.14110000
            [low_before] => 0.13450000
            [low_after] => 0.13460000
            [is_new_high] => 
            [is_new_low] => 
        )

)