Web3Way Logo

Trade

buy - PYTH

Status
win
2025-07-02 20:29:22
10 minutes
PNL
0.68
Entry: 0.1029
Last: 0.10360000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.57
Prediction 1 Accuracy
Strong Trade
0.52
Prediction 2 Accuracy
0 0.46
ML Trade Score: 130

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.29
  4. atr: 0.0003019963834
Details
  1. score: 2.29
  2. 1H
  3. ema9 - 0.103698
  4. ema21 - 0.102842
  5. ema50 - 0.102132
  6. ema100 - 0.101754
  7. price_ema9_diff - -0.0077048
  8. ema9_ema21_diff - 0.00832756
  9. ema21_ema50_diff - 0.00695442
  10. price_ema100_diff - 0.0112562
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.51748
  14. kc_percentage - 0.49944
  15. kc_width_percentage - 0.058719
  16. volume_ema_diff - -0.207601
  17. volume_ema1 - 158051.17883295
  18. volume_ema2 - 199459.28422628
    19. ¸
  19. 15m
  20. ema9 - 0.104024
  21. ema21 - 0.104086
  22. ema50 - 0.103527
  23. ema100 - 0.102348
  24. price_ema9_diff - -0.0108077
  25. ema9_ema21_diff - -0.000601879
  26. ema21_ema50_diff - 0.00540444
  27. price_ema100_diff - 0.00539099
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.454509
  31. kc_percentage - 0.0124054
  32. kc_width_percentage - 0.0237623
  33. volume_ema_diff - -0.373738
  34. volume_ema1 - 30810.16546957
  35. volume_ema2 - 49196.968931074
    36. ¸
  36. 5m
  37. ema9 - 0.103559
  38. ema21 - 0.103891
  39. ema50 - 0.104127
  40. ema100 - 0.104253
  41. price_ema9_diff - -0.00636582
  42. ema9_ema21_diff - -0.003202
  43. ema21_ema50_diff - -0.00225795
  44. price_ema100_diff - -0.0129794
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.302089
  48. kc_percentage - -0.288955
  49. kc_width_percentage - 0.0119926
  50. volume_ema_diff - -0.14435
  51. volume_ema1 - 12792.95650371
  52. volume_ema2 - 14951.156757366
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109163
  56. 5m_price_ema100_diff: -0.00340853
  57. 5m_price: 108791
  58. 5m_correlation_with_coin: 0.632236
  59. btc_indicators
  60. 15m_ema100: 107946
  61. 15m_price_ema100_diff: 0.00790303
  62. 15m_price: 108800
  63. btc_indicators
  64. 1H_ema100: 107407
  65. 1H_price_ema100_diff: 0.0128875
  66. 1H_price: 108791
    67. ¸

Long Trade on PYTH

The 02 Jul 2025 at 20:29:22

With 17660 PYTH at 0.1029$ per unit.

Position size of 1817 $

Take profit at 0.1036 (0.68 %) and Stop Loss at 0.1024 (0.49 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -44 %

Symbol Start at Seach Score Trade Score Trades Count
ETH 2025-05-11 03:13:38 0.9368 -100 2
FET 2025-05-01 05:30:34 0.9309 30 1
IO 2025-05-01 19:38:33 0.9291 60 1
1MBABYDOGE 2025-05-13 19:07:38 0.9283 40 1
WCT 2025-06-24 04:59:51 0.9277 30 1
RENDER 2025-06-07 11:15:31 0.9271 -100 1
LAYER 2025-04-16 18:37:31 0.9245 -100 2
FLM 2025-04-27 12:01:02 0.9266 -100 1
SAND 2025-05-11 03:04:11 0.9265 -100 1
BNB 2025-06-24 03:43:20 0.9241 -100 2

📌 Time Data

Start at Closed at Duration
02 Jul 2025
20:29:22		 02 Jul 2025
20:40:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1029 0.1024 0.1036 1.4 0.0958
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 0.1029
  • Stop Loss: 0.1024
  • Take Profit: 0.1036

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1024 - 0.1029 = -0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1029 - 0.1036 = -0.00069999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00069999999999999 / -0.0005 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
1817 100 17660 18.17
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 0.1029 = -1646.4

Donc, tu peux acheter -16000 avec un stoploss a 0.1024

Avec un position size USD de -1646.4$

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 -0.00069999999999999 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position -16000
  • Taille de position USD -1646.4
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.68 % 12 $
SL % Target SL $ Target
0.49 % 8.8 $
PNL PNL %
12 $ 0.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1039
            [stop_loss] => 0.1024
            [rr_ratio] => 2
            [closed_at] => 2025-07-02 20:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.10415
            [stop_loss] => 0.1024
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-02 21:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1044
            [stop_loss] => 0.1024
            [rr_ratio] => 3
            [closed_at] => 2025-07-02 21:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.10465
            [stop_loss] => 0.1024
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-03 01:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1049
            [stop_loss] => 0.1024
            [rr_ratio] => 4
            [closed_at] => 2025-07-03 01:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.10515
            [stop_loss] => 0.1024
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-03 01:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1054
            [stop_loss] => 0.1024
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 01:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.10565
            [stop_loss] => 0.1024
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 01:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1059
            [stop_loss] => 0.1024
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 01:40:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.10615
            [stop_loss] => 0.1024
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 02:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)