Trade

sell - PYTH

Status
loss
2025-05-15 12:42:13
7 minutes
PNL
-0.93
Entry: 0.1717
Last: 0.17330000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -2.9923
Prediction 1 Accuracy
Weak Trade
0.54
Prediction 2 Accuracy
1 0.39
ML Trade Score: -70

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.001038785863
Details
  1. score: 1.21
  2. 1H
  3. ema9 - 0.168281
  4. ema21 - 0.172485
  5. ema50 - 0.17893
  6. ema100 - 0.182454
  7. price_ema9_diff - 0.0203111
  8. ema9_ema21_diff - -0.0243684
  9. ema21_ema50_diff - -0.0360188
  10. price_ema100_diff - -0.0589424
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.449972
  14. kc_percentage - 0.472308
  15. kc_width_percentage - 0.0913107
  16. ¸
  17. 15m
  18. ema9 - 0.168342
  19. ema21 - 0.167097
  20. ema50 - 0.168956
  21. ema100 - 0.172951
  22. price_ema9_diff - 0.019946
  23. ema9_ema21_diff - 0.00745139
  24. ema21_ema50_diff - -0.0110041
  25. price_ema100_diff - -0.00723623
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.631816
  29. kc_percentage - 1.02492
  30. kc_width_percentage - 0.0509275
  31. ¸
  32. 5m
  33. ema9 - 0.170277
  34. ema21 - 0.168645
  35. ema50 - 0.166967
  36. ema100 - 0.166567
  37. price_ema9_diff - 0.00835506
  38. ema9_ema21_diff - 0.00967798
  39. ema21_ema50_diff - 0.0100509
  40. price_ema100_diff - 0.0308116
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.724371
  44. kc_percentage - 1.21449
  45. kc_width_percentage - 0.0239746
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 102362
  50. 5m_price_ema100_diff: 0.0116683
  51. 5m_price: 103556
  52. 5m_correlation_with_coin: 0.705884
  53. btc_indicators
  54. 15m_ema100: 102683
  55. 15m_price_ema100_diff: 0.00850597
  56. 15m_price: 103556
  57. btc_indicators
  58. 1H_ema100: 103284
  59. 1H_price_ema100_diff: 0.00263705
  60. 1H_price: 103556
  61. ¸

Short Trade on PYTH

The 15 May 2025 at 12:42:13

With 5134 PYTH at 0.1717$ per unit.

Position size of 881.5 $

Take profit at 0.1694 (1.3 %) and Stop Loss at 0.1733 (0.93 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -84 %

Symbol Start at Seach Score Trade Score Trades Count
TIA 2025-05-15 12:49:04 0.977 -100 1
VET 2025-05-15 12:44:51 0.9746 -100 2
MEW 2025-04-03 18:02:24 0.9732 -100 1
ZKJ 2025-07-04 21:25:08 0.973 60 1
DOT 2025-05-15 12:46:17 0.9721 -100 1
NOT 2025-05-15 12:42:49 0.9694 -100 1
STX 2025-05-15 12:41:29 0.9683 -100 1
UNI 2025-04-09 01:50:28 0.9678 -100 1
GMT 2025-05-15 12:58:25 0.9668 -100 1
SEI 2025-05-15 12:48:54 0.9656 -100 1

📌 Time Data

Start at Closed at Duration
15 May 2025
12:42:13
15 May 2025
12:50:00
7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1717 0.1733 0.1694 1.4 0.0957
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 0.1717
  • Stop Loss: 0.1733
  • Take Profit: 0.1694

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1733 - 0.1717 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1717 - 0.1694 = 0.0023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0023 / 0.0016 = 1.4375

📌 Position Size

Amount Margin Quantity Leverage
881.5 100 5134 8.82
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.1717 = 858.5

Donc, tu peux acheter 5000 avec un stoploss a 0.1733

Avec un position size USD de 858.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0023 = 11.5

Si Take Profit atteint, tu gagneras 11.5$

Résumé

  • Taille de position 5000
  • Taille de position USD 858.5
  • Perte potentielle 8
  • Gain potentiel 11.5
  • Risk-Reward Ratio 1.4375

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.93 % 8.2 $
PNL PNL %
-8.2 $ -0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1065812463599 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1694
            [entry_price] => 0.1717
            [stop_loss] => 0.17346
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-15 12:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1694
            [entry_price] => 0.1717
            [stop_loss] => 0.17362
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-15 14:25:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1694
            [entry_price] => 0.1717
            [stop_loss] => 0.17378
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-15 14:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1694
            [entry_price] => 0.1717
            [stop_loss] => 0.1741
            [rr_ratio] => 0.96
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-15 14:25:00
            [result] => win
        )

)