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Trade

buy - PYTH

Status
win
2025-06-30 02:58:28
16 minutes
PNL
1.14
Entry: 0.1054
Last: 0.10660000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.8033
Prediction 1 Accuracy
Strong Trade
0.73
Prediction 2 Accuracy
2 0.43
ML Trade Score: 70

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.000513446976
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 0.106882
  4. ema21 - 0.10453
  5. ema50 - 0.100901
  6. ema100 - 0.0982323
  7. price_ema9_diff - -0.0138736
  8. ema9_ema21_diff - 0.0225014
  9. ema21_ema50_diff - 0.0359717
  10. price_ema100_diff - 0.0729657
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.563041
  14. kc_percentage - 0.568384
  15. kc_width_percentage - 0.0952319
  16. volume_ema_diff - 0.583862
  17. volume_ema1 - 337698.30202127
  18. volume_ema2 - 213211.93034997
    19. ¸
  19. 15m
  20. ema9 - 0.106623
  21. ema21 - 0.107427
  22. ema50 - 0.106309
  23. ema100 - 0.103892
  24. price_ema9_diff - -0.0114755
  25. ema9_ema21_diff - -0.00748103
  26. ema21_ema50_diff - 0.0105143
  27. price_ema100_diff - 0.0145053
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.363856
  31. kc_percentage - 0.0193401
  32. kc_width_percentage - 0.0396752
  33. volume_ema_diff - -0.397379
  34. volume_ema1 - 53923.751247158
  35. volume_ema2 - 89482.106542938
    36. ¸
  36. 5m
  37. ema9 - 0.105857
  38. ema21 - 0.106514
  39. ema50 - 0.107501
  40. ema100 - 0.108072
  41. price_ema9_diff - -0.0043186
  42. ema9_ema21_diff - -0.00616986
  43. ema21_ema50_diff - -0.00917976
  44. price_ema100_diff - -0.0247274
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.309388
  48. kc_percentage - -0.0294996
  49. kc_width_percentage - 0.0191295
  50. volume_ema_diff - 0.28769
  51. volume_ema1 - 34372.983663752
  52. volume_ema2 - 26693.519584179
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108245
  56. 5m_price_ema100_diff: -0.0062438
  57. 5m_price: 107569
  58. 5m_correlation_with_coin: 0.230589
  59. btc_indicators
  60. 15m_ema100: 107933
  61. 15m_price_ema100_diff: -0.00335792
  62. 15m_price: 107571
  63. btc_indicators
  64. 1H_ema100: 107563
  65. 1H_price_ema100_diff: 5.81702E-5
  66. 1H_price: 107569
    67. ¸

Long Trade on PYTH

The 30 Jun 2025 at 02:58:28

With 10390 PYTH at 0.1054$ per unit.

Position size of 1095 $

Take profit at 0.1066 (1.1 %) and Stop Loss at 0.1046 (0.76 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -54.69 %

Symbol Start at Seach Score Trade Score Trades Count
MOCA 2025-06-24 04:57:10 0.9754 30 1
AAVE 2025-06-03 17:52:18 0.9715 -17.5 4
DRIFT 2025-05-08 05:17:25 0.9703 -100 2
UXLINK 2025-06-24 03:50:57 0.9673 -100 2
ETHFI 2025-06-30 02:49:11 0.9689 -100 1
ATOM 2025-06-30 02:45:44 0.9677 -100 1
LDO 2025-06-30 02:47:20 0.9668 -90 1
BTC 2025-06-10 01:33:03 0.9661 40 1

📌 Time Data

Start at Closed at Duration
30 Jun 2025
02:58:28		 30 Jun 2025
03:15:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1054 0.1046 0.1066 1.5 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 0.1054
  • Stop Loss: 0.1046
  • Take Profit: 0.1066

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1046 - 0.1054 = -0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1054 - 0.1066 = -0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0012 / -0.0008 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1095 100 10390 10.95
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 -0.0008

Taille de position = 8 / -0.0008 = -10000

Taille de position USD = -10000 x 0.1054 = -1054

Donc, tu peux acheter -10000 avec un stoploss a 0.1046

Avec un position size USD de -1054$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10000 x -0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10000 x -0.0012 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -10000
  • Taille de position USD -1054
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.1 % 12 $
SL % Target SL $ Target
0.76 % 8.3 $
PNL PNL %
12 $ 1.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3795 % 50 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.107
            [stop_loss] => 0.1046
            [rr_ratio] => 2
            [closed_at] => 2025-06-30 03:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1074
            [stop_loss] => 0.1046
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 03:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1078
            [stop_loss] => 0.1046
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 03:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1082
            [stop_loss] => 0.1046
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 03:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1086
            [stop_loss] => 0.1046
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 05:55:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.109
            [stop_loss] => 0.1046
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 05:55:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1094
            [stop_loss] => 0.1046
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 05:55:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1098
            [stop_loss] => 0.1046
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 05:55:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1102
            [stop_loss] => 0.1046
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 05:55:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1106
            [stop_loss] => 0.1046
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 05:55:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.111
            [stop_loss] => 0.1046
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 05:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)